Next Article in Journal
The World of Pseudogenes: New Diagnostic and Therapeutic Targets in Cancers or Still Mystery Molecules?
Next Article in Special Issue
Human Milk Macronutrients and Bioactive Molecules and Development of Regional Fat Depots in Western Australian Infants during the First 12 Months of Lactation
Previous Article in Journal
Credibility of the Neutrophil-to-Lymphocyte Count Ratio in Severe Traumatic Brain Injury
Previous Article in Special Issue
The Interplay of Nutriepigenomics, Personalized Nutrition and Clinical Practice in Managing Food Allergy
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Role of Pediatric Nutrition as a Modifiable Risk Factor for Precocious Puberty

by
Valeria Calcaterra
1,2,†,
Elvira Verduci
1,3,*,†,
Vittoria Carlotta Magenes
1,
Martina Chiara Pascuzzi
1,
Virginia Rossi
1,
Arianna Sangiorgio
1,
Alessandra Bosetti
1,
Gianvincenzo Zuccotti
1,4 and
Chiara Mameli
1,4
1
Pediatric Department, “Vittore Buzzi” Children’s Hospital, 20154 Milan, Italy
2
Pediatric and Adolescent Unit, Department of Internal Medicine, University of Pavia, 27100 Pavia, Italy
3
Department of Health Sciences, University of Milan, 20142 Milan, Italy
4
Department of Biomedical and Clinical Science “L. Sacco”, University of Milan, 20157 Milan, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally.
Life 2021, 11(12), 1353; https://doi.org/10.3390/life11121353
Submission received: 17 November 2021 / Revised: 4 December 2021 / Accepted: 6 December 2021 / Published: 7 December 2021
(This article belongs to the Special Issue Pediatric Nutrition for a Healthy Life)

Abstract

:
Puberty is a critical phase of growth and development characterized by a complex process regulated by the neuroendocrine system. Precocious puberty (PP) is defined as the appearance of physical and hormonal signs of pubertal development at an earlier age than is considered normal. The timing of puberty has important public health, clinical, and social implications. In fact, it is crucial in psychological and physical development and can impact future health. Nutritional status is considered as one of the most important factors modulating pubertal development. This narrative review presents an overview on the role of nutritional factors as determinants of the timing of sexual maturation, focusing on early-life and childhood nutrition. As reported, breast milk seems to have an important protective role against early puberty onset, mainly due to its positive influence on infant growth rate and childhood overweight prevention. The energy imbalance, macro/micronutrient food content, and dietary patterns may modulate the premature activation of the hypothalamic–pituitary–gonadal axis, inducing precocious activation of puberty. An increase in knowledge on the mechanism whereby nutrients may influence puberty will be useful in providing adequate nutritional recommendations to prevent PP and related complications.

1. Introduction

Puberty, a critical phase of growth and development, is a complex process that starts with a growth spurt and the development of secondary sex characteristics and culminates in the acquisition of psychophysical maturity and reproductive capacity [1,2].
Precocious puberty (PP) is defined as the appearance of physical and hormonal signs of pubertal development at an earlier age than is considered normal. The onset and progression of puberty are regulated by the neuroendocrine system [2]. Physiologically, the onset of puberty follows the disinhibition of the hypothalamic–pituitary–gonadal axis (HPG), resulting in the progressive amplification of the pulsatile secretion of gonadotropin-releasing hormone (GnRH) by hypothalamic neurons. GnRH stimulates the pulsatile release of luteinizing hormone (LH) and follicle-stimulating hormone (FSH) by the pituitary, inducing the production of sex hormones that are responsible for the physical manifestations of puberty [3]. The timing of puberty has important public health, clinical, and social implications. In fact, the regular timing of puberty is crucial to psychological and physical development and can impact future health [4]. As previously reported, PP has been associated with short adult stature, adverse psychological outcomes, increased risk of obesity, hypertension, type two diabetes, cardiovascular disease, and estrogen-dependent cancer, particularly breast cancer [5].
The interactions between genetic, endocrine, and environmental factors are crucial in pubertal timing [1,2]. Nutritional status is considered one of the most important factors involved in pubertal development [6] and it was estimated to explain as much as 25% of the variation in the timing of puberty [6]. Early-life and childhood nutrition may have an impact on the timing of puberty onset. Several studies have proposed mechanisms by which energy imbalance, macro/micronutrient food content and dietary patterns may modulate the premature activation of the HPG axis, inducing PP.
This narrative review presents an overview on the role of nutritional factors as determinants of the timing of sexual maturation, focusing on early-life and childhood nutrition. An increase in knowledge on the mechanism whereby nutrients may influence puberty will be useful in developing nutritional recommendations to maintain the regular timing of puberty. Adherence to adequate nutritional recommendations in pediatrics may contribute to preventing PP and related complications.

2. Methods of Data Collection

A narrative review was performed [7]. The authors independently reviewed relevant English literature on the influence of nutritional status on the timing of puberty in the past 15 years, including original papers, meta-analysis, clinical trials, and reviews. Case reports or series and letters were excluded. A search in PubMed, Scopus, EMBASE, and Web of Science was carried out. Papers published up to September 2021 were searched with the following keywords (alone and/or in combination): precocious puberty, early puberty, timing of puberty, nutrition, diet, micronutrients, macronutrients, breastfeeding, soy-based formulas, formula feeding, complementary feeding. The contributions were critically reviewed and collected by V.C., E.V., V.C.M., M.C.P., V.R., A.S., and M.C. The resulting draft was discussed with all coauthors and the final version was approved by all.

3. Discussion of the Literature

3.1. Puberty

3.1.1. Physiology of Puberty

Puberty is a major stage in the growth of any human being [1,2]. It is a term that encompasses a complex series of biological phenomena that occur during adolescence. It usually proceeds in a uniform pattern with some variability as to when it occurs, its sequence, and its duration, finally resulting in full reproductive capacity [8]. Therefore, it defines the shift from sexual immaturity to sexual maturity [9].
Pubertal timing is dictated by the interplay and synergism between hormones, central neurotransmitters, and environmental factors that lead to the activation of the HPG axis [1,2], as shown in Figure 1.
This complex dialogue begins from the earliest stages of development [9]: from the first week of life, as the maternal steroid hormones abruptly decline, a phenomenon termed “mini-puberty” occurs, i.e., the initial activation of the HPG axis, leading to the increased synthesis of steroid hormones [1,10]. The increase in LH and FSH triggers the release of testosterone from the testes in males and estradiol from the ovaries in females. The hormonal levels during mini-puberty impact genital organ development, fertility, somatic growth, and body composition during the first 12 months of life, as well as cognitive development [1,2,10]. This phenomenon lasts for approximately the first six months of life, after which the axis remains inactive until five years of age, and it is then finally reactivated during adolescence, when FSH and LH secretion from the adenohypophysis is elicited by gonadotropin-releasing hormone (GnRH) released from the hypothalamus in a pulsatile pattern to avoid the downregulation of its receptor in the hypophysis [1,2,10]. FSH and LH promote spermatogenesis and oogenesis along with testosterone and estradiol release in males and females, respectively [2,11].
The pulsatile stimuli source of GnRH is tightly regulated by both excitatory and inhibitory control; therefore, the excitatory signal rises while the inhibitory signal decreases at the onset of puberty [10]. Several strongly linked stimuli, including leptin, kisspeptin, neurokinin B, and glutamate, along with numerous glial signaling molecules, are involved [2]. The neurons in the arcuate nucleus that release kisspeptin/neurokinin B/dynorphin A (KNDy), along with those that produce inhibitory signals, play a key role in the regulation of pulsatile GnRH secretion [12], resulting in direct feedback to the GnRH pulse generator [2,13]. GnRH secretion is regulated both by kisspeptin and its receptor kiss-R1 and by neurokinin B and its receptor, whose stimulatory effects increase during puberty; likewise, dynorphin and its receptor, whose inhibitory effect is repressed, are also associated with increased GnRH secretion [10]. Gamma aminobutyric acid (GABA) is the major neurotransmitter associated with the inhibition of GnRH secretion during childhood, whereas glutamate, neuropeptide Y, endorphins, opioids, and melatonin are involved in activating the GnRH pulse generator and hence triggering the onset of puberty [2,10]. In particular, a key role in early pubertal timing is played by leptin and kisspeptin. The action of these two metabolic hormones, in addition to depending on the specific genetic background of the individual [14], is also influenced by epigenetics [15]. The kisspeptin system is influenced by both excess and defective premature malnutrition. Notably, one study also demonstrated that fetal underfeeding affects the production of this hormone, directly impacting the timing of puberty onset in mice [16]. Furthermore, pubertal timing is normalized by the chronic central injection of kisspeptin [17]. The leptin circulation level is correlated with the birth weight and increases significantly just before pubertal onset [2]. It is regarded as a crucial factor in both the timing of puberty onset and caloric balancing, as well as being a major factor in fertility [4]. Recently, it was reported that leptin may also be considered a positive regulator of the kisspeptin system, although the link has not been fully defined [18].
During puberty, two main events occur: gonadarche, which is the activation of the gonads by the pituitary hormones follicle-stimulating hormone (FSH) and luteinizing hormone (LH), and adrenarche, that is, the increased production of androgens by the adrenal cortex [8].
The most recognizable physical and biological signs during puberty are statural growth (approximately 20% of adult stature matures during puberty) and the acquisition of secondary sexual characteristics [19]. The most widely employed staging system is that of sexual maturity assessments, also referred to as “Tanner stages”, initially proposed by Marshall and Tanner [20,21]. These are systematized descriptions of the development of secondary sexual characteristics, specifically, the changes in breasts in females (thelarche), genitalia in males, and pubic hair (pubarche) in both sexes. The changes in these three areas are each described in five stages, with stage one representing prepuberty and stage five representing adult development [8]. In addition, several terms are used to describe specific pubertal events: thelarche (the appearance of breast tissue), menarche (the first occurrence of menstrual bleeding), spermarche (the initiation of sperm production), and pubarche (the appearance of pubic hair, but the same term also applies to the first occurrence of axillary hair, apocrine body odor, and acne) [8].

3.1.2. Timing of Puberty

The genetic background is responsible for 50–80% of the variability in pubertal timing [22]. Ethnicity, particularly African American and Hispanic, is classically associated with the earlier onset of puberty. Findings suggest that, regardless of age, Black and Hispanic teenagers precede White adolescents in pubertal development [23]. The earlier onset of puberty in Black youths has been ascribed to genetic factors, higher body mass index (BMI), and nutritional factors. No ethnic variations were observable in the duration from one stage of sexual maturity to the next for girls. In contrast, sexual development in Black and Hispanic boys took longer than in White boys [23].
Childhood obesity may contribute to the decline in the age of puberty onset, and its prevalence has clearly increased over recent decades [23,24,25,26,27,28,29,30,31]. The interaction between hormones and nutrition during fetal life and infancy, as critical periods of growth, is crucial to future pubertal development [2]. A meta-analysis and systematic review by Li et al. [30] revealed that obesity may contribute to early pubertal development. The evidence suggested that obesity and high BMI may promote early pubertal onset in girls, but no statistically significant differences were found in the age of menarche between obese and normal-weight girls [30,32]. For males, not many studies in the published literature have explored this topic, but some authors suggest that a higher BMI corresponds to the earlier development of male genitalia and consequently reduced pubertal timing [30,33].
Exposure to chemicals capable of interfering with the proper functioning of the endocrine system provides another plausible explanation, but further investigation is needed to clarify the effect of these substances [25,34,35,36]. A variety of studies reported in the literature have shown that incidental exposure to sex steroids is associated with early puberty in children. Characteristically, estrogens cause breast development, while androgens cause skin changes (oily skin and hair, adultlike sweat odor) and pubic hair growth. Ointments and salves containing estrogenic ingredients, e.g., lavender oil, have also been associated with prepubertal gynecomastia [37]. Further studies are needed to clarify the role played by these substances, such as phthalates, dioxins, polybrominated biphenyls, and polychlorinated biphenyls, in pubertal timing [22,38,39,40]. However, potential mechanisms of action have been delineated: for example, they can act as hormone agonists or antagonists, or they can alter the levels of endogenous hormones and their ratios by affecting their production, secretion, binding to transporters, metabolism, and excretion [22].
Prenatal factors and specific exposure during fetal life should not be underestimated [25,41,42,43,44]. Maisonet et al. [44] investigated several maternal variables (level of education; social class; age at menarche; prepregnancy BMI; race; age at delivery; season of delivery; previous live births; presence of urine sugar in the third trimester; and smoking and alcohol, coffee, and tea consumption during pregnancy) to identify a potential association with pubertal timing in offspring. These data were collected through self-assessment by the participants of this study. It was found that an onset of menarche before the age of 12 years, smoking during pregnancy, and primiparity were maternal prenatal characteristics associated with earlier pubertal timing [44]. Some studies have shown that accelerated bone maturation and peak height velocity occur at an earlier pubertal stage in small-for-gestational-age (SGA) children than in appropriate-for-gestational-age (AGA) children, resulting in a shorter duration of pubertal growth and lower than expected peak pubertal growth. In addition, it appears that rapid weight gain and visceral adiposity responsible for insulin resistance in early childhood may influence pubertal onset in SGA-born children [45,46,47].
Earlier pubertal timing is associated with the development of several health sequelae, both physical and psychological [48]. Indeed, the timing of pubertal maturation has an impact on self-esteem, behavior, growth, and weight. In addition to physical changes, cognitive and psychosocial maturation also occurs [8,49]. Specifically, there is growing evidence that earlier pubertal timing, particularly a lower age at menarche among girls, is associated with increased risks of obesity, type two diabetes [50], and cardiovascular disease [51,52]. Other reported associations include increased risks of breast cancer [53], lower bone mineralization [54,55], and increased all-cause mortality [56]. Some studies have described negative associations between early puberty in men, in relation to their voices breaking, and adiposity [57], higher blood pressure [58], and cardiovascular disease later in life [51,52].
Additionally, it has been shown that early pubertal timing seems to be associated with psychological and psychiatric disorders; in particular, some scientific evidence classifies it as a predictive factor of substance abuse among adolescents [59]. We can also safely say that early puberty has an association with poor behavioral and psychosocial outcomes and good health in adulthood [49]. In Figure 1, the determinants of the timing of puberty and the complications related to PP are shown.
The normal spectrum of the onset of puberty among children is fairly broad, and the timing varies widely according to gender and ethnicity.
The age at the onset of puberty has traditionally been considered a reliable indicator of the general population’s well-being [34], and, as a result of changes in society, epidemiological studies have shown that the timing of normal puberty has significantly changed over the last several centuries [9]. Although a lowering of the age of onset of puberty was observed in both sexes, this was undoubtedly more evident in girls compared to boys [24]. Indeed, records for the date of menarche, in both retrospective and prospective studies, were easier to collect.
As early as 1800, records of menarche age have been recorded and noted in the clinical records of particular groups in the United States and Europe [34]. European historical records indicated a marked drop in the age of menarche from about 17 years in the early 19th century to about 13 years in the mid-20th century [9]. Similarly, declining tendencies occurred in the United States during the first half of the 20th century [9]. Since the 1960s, the age at menarche appears to have stabilized in both Europe and the United States, although minor but still statistically significant reductions of 2.5–4 months have been reported over the past 25 years [9]. In contrast to the onset of menarche, the age of breast development onset seems to have decreased significantly over the past two decades, decreasing from around 11 years before the 1980s to below 10 years of age, according to the Third National Health and Nutrition Examination Survey (NHANES III), conducted in the United States of America from 1988–1994 and based on self-assessment of breast development, and the Pediatric Research in Office Settings (PROS), founded by the American Association of Pediatrics in 1988 and based on breast palpation, in 39% of the cases [9]. Differences in relation to ethnicity are evident; the most pronounced changes were observed in non-Hispanic Black girls. However, a reduction in the age at the onset of breast development was reported in all ethnic groups. Specifically, in the PROS study, at eight years of age, the diagnostic limit for considering PP, 6.7% of White girls and 27.2% of African American girls met the criteria for PP on the basis of breast or pubic hair development [9]. In light of this, the Lawson Wilkins Pediatric Endocrine Society (LWPES) reconsidered the age limit for the assessment of PP, indicating that suspicion of PP is warranted if secondary sexual characteristics appear before seven and six years of age in White and African American girls, respectively [9]. However, other pediatric endocrinologists disagree, as the PROS study was not representative of the general U.S. population [9].
However, according to recent reports by Biro et al. [60], there has been an increase in the rate of Black and White girls presenting with thelarche before the age of eight years (10.4 and 23.4%, respectively) [9]. The Copenhagen Puberty Study reported a 12-month decline in the mean age at the onset of breast development over a 15-year period in Danish girls, and similar data on puberty onset were recently recorded in other European countries [9,61,62]. According to observations from the NHANES III and Third National Health Examination Survey (NHES III) studies, no evidence was found for an advancement in the age at the onset of stage III-V breast development in American girls in general, which indeed, in the Copenhagen Puberty Study, appears to have declined in parallel with the decline in age at the onset of breast development [9].
Not as much attention has been paid to male pubertal timing, which is why fewer studies exist and are based on smaller population numbers [9]. Since the earliest reports from the 1940s, the pubertal age of boys evaluated by American and European studies has been consistent, with the onset occurring at approximately 11.5 years of age [9,21,63]. An earlier onset of genital development was evident in NHANES III than was previously reported in US males by NHES III [9,64,65]. However, the interpretation and comparison of the data reported by the NHES III and NHANES III studies are not straightforward, due to the lack of data on pubertal onset in NHES III and the lack of rigorous interobserver policies in NHANES III, which exposes the risk of the misclassification of the onset of puberty in prepubertal boys [9,63,64,66,67]. In addition, a contemporary American study using an orchidometer as a tool to assess Tanner’s G stage observed that the age at the onset of puberty was consistent with previous American and European studies [9,25,64]. Unfortunately, though, the orchidometer has not been used in any of the population-based studies [9]. Nonetheless, the Copenhagen Puberty Study [65] documented a three-month decrease in the age at puberty onset over a recent 15-year period, evaluated by both genital staging and orchidometer. A study conducted by PROS concluded that, only when properly trained, experienced clinicians in this area are able to accurately identify signs of the onset of puberty through Tanner staging [21,68] in boys. The age limit of nine years classically used to define precocious puberty is still valid in boys, and the LWPES found no evidence to support lowering their diagnostic age limit [18], unlike the claims for the female sex [9]. A secular trend analysis between NHES III and NHANES III did not find convincing evidence supporting an earlier age among boys entering genital stages 3–5. In contrast, the Copenhagen Puberty Study found that the onset of later pubertal stages was reached at an earlier age, and the annual increase in testicular volume was greater at the time of the study than 15 years earlier [9,65].

3.1.3. Precocious Puberty

PP is defined as the beginning of pubertal development before eight years of life in girls and nine years of life in boys [5,69,70,71,72]. PP can be divided into Central Precocious Puberty (CPP) and Peripheral Precocious Puberty (PPP). The common causes of CPP and PPP are summarized in Table 1 [70].
The incidence of CPP varies significantly between different cohorts. In American girls, the incidence was estimated at around 1 in 5.000–10.000, while in a Danish study, the prevalence was 1 in 500 [5,69,73]. CPP is more frequent in girls than boys (female/male ratio from 3:1 to 15–20:1) [5,73]. CPP can be due to congenital or acquired central nervous system (CNS) lesions or monogenic defects, or it can be idiopathic [70].
Idiopathic CPP is responsible for most cases of CPP, and it is more frequent in girls than in boys (90% of cases vs. 30–50%). Many different factors have been studied in an attempt to explain idiopathic CPP, especially metabolic and environmental factors [70]. Among the metabolic influences on pubertal timing, it is well known that leptin, an adipocytokine produced by adipocytes, can have a permissive role in the onset of puberty, stimulating kisspeptin release [74]. A more exhaustive analysis of the correlation between nutrition and the timing of puberty is presented in the following paragraph. Metabolic and environmental causes should also be considered in the case of adopted children, who are known to be at higher risk of CPP [70]. Some authors have suggested that this could be explained by nutritional deprivation in early life, followed by increased nutrition after adoption [70]. Others have speculated that environmental factors such as stress and early-life exposure to endocrine-disrupting substances can also have a role in CPP in adopted children [5]. The CNS lesions that are most often involved in causing CPP are listed in Table 1. CNS lesions are far more frequent in boys and young children. In particular, hypothalamic hamartomas are the most common organic cause of CPP [5,73]. Hamartomas usually occur before four years of age, causing seizures or gonadotropin-dependent PP with negative tumor markers for PPP [73]. The monogenic causes of CPP have been a fascinating object of study in the last decade [75,76,77]. Different monogenetic defects have been discovered: the gain-of-function mutation in the kisspeptin excitatory pathway (mutations in genes KISS1R and KISS1) and the loss-of-function mutation in the makorin RING finger 3 (MKRN3) gene and in the imprinted Delta-like 1 homolog (DLK1) gene [69,78,79,80]. Some authors have also studied polymorphisms related to precocious susceptibility [81]. In contrast to CPP, PPP is a gonadotropin-independent process in which sex steroids are produced without hypothalamic and pituitary stimulus. PPP can be caused by the production of sexual hormones by the gonads or adrenal glands, gonadotropin production by tumors, or exposure to exogenous hormones [70,82].
The diagnosis of PP is made on the basis of an accurate personal and familial history, a complete physical examination, and hormonal and radiological exams. It is essential to investigate the parental timing of puberty, the timing of onset of pubertal changes in the child, the possible exposure to sex steroids, and the presence of the symptoms of CNS lesions (visual abnormalities, new-onset headaches, seizures) [5,83].The physical examination should be focused on anthropometric measurements (weight, height, BMI, and growth velocity) and the assessment of secondary sexual characteristics (breast buds in girls, testicular volume in boys, pubic hair in both), according to the Marshall and Tanner classification [20,21].
Other signs of pubertal development are the enlargement of the labia majora and minora, the redistribution of body fat in the hips, and vaginal discharge in girls, whereas voice change and increased muscular mass should be evaluated in boys. The evaluation of axillary hair, oily skin, and facial acne in both sexes should also be considered [5,73,84].
The initial hormonal evaluation entails measuring basal serum gonadotropins and sex steroids. A basal morning LH value of more than 0.2 mUI/mL, measured with an ultrasensitive methodology, is usually considered indicative of puberty [5,70,71,84,85,86]. Moreover, children with early CPP could have a normal basal LH, and children younger than three years of age usually have higher baseline gonadotropin concentrations [5,84,85]. The GnRH stimulation test remains the gold standard [71,87,88]. A peak of LH higher than 3.3–5.0 UI/L is usually diagnostic of CPP [5,89]. In addition, an LH to FSH ratio higher than 0.6 has been associated with CPP [84,85].
Other hormonal evaluations should include thyroid tests, testosterone, estradiol, 17-hydroxyprogesterone (17-OHP), carcinoembryonic antigen (CEA), cancer antigen 125 (CA125), alpha-fetoprotein, and beta-human chorionic gonadotropin (beta-hCG), depending on the patient’s history [73].
An advanced bone age of more than 2.5 standard deviations (SD) or more than two years is likely associated with pathological precocious puberty [5,87]. Nevertheless, a normal bone age does not exclude precocious puberty [5,71].
In girls, a pelvic ultrasound should be performed in order to assess the premature pubertal development of the ovaries and exclude the presence of ovarian cysts or tumors [90,91]. Although a pelvic ultrasound is a useful tool, some authors do not agree on the diagnostic threshold for the uterine and ovarian volumes [85]. However, a uterine longitudinal diameter ≥3.5–4 cm, a transverse diameter ≥1.5 cm, the presence of an endometrial echo, and an ovarian volume ≥2 cm2 have been observed to be associated with rapid progressive CPP [71,84,86].
Brain magnetic resonance imaging (MRI) is suggested in patients with a diagnosis of CPP to rule out CNS lesions [5]. These are more frequent in boys than girls and in young children (before the age of six years) [5]. For these reasons, some authors have suggested that MRI should not be performed routinely in girls between six and eight years of age [85,86,87]. In patients with a clear family history of precocious puberty (two or more family members affected), a genetic analysis is also suggested [5]. CPP should be treated according to the underlying pathology [92,93]. Although surgery and radiation may be indicated in some CNS lesions, the standard treatment for idiopathic and monogenetic CPP is a GnRH analog (GnRHa). GnRHa therapy is clearly indicated for patients presenting with early CPP with advanced pubertal development according to the Tanner stage and with increased linear growth [73,86,94].
The treatment goals of GnRHa are to slow pubertal progression in order to preserve the adult height potential in both boys and girls. This goal is more easily reached if the treatment is started before six years of age in girls [85]. Reducing the health risk and preventing the psychological consequences associated with precocious menarche described in the previous paragraph are also important outcomes in girls [86]. Because these topics have been poorly studied in boys, they are usually less frequently considered when treating CPP in males [92]. The treatment is usually withdrawn to let the puberty of the patient progress concurrently with their peers. Therefore, the treatment is usually discontinued between 10 and 11 years of age for girls and 12 and 13 years of age for boys [95]. Other authors withdraw the therapy at a bone age of around 12 years in girls and 13 years in boys [5,96].
Long-acting GnRH therapy shows good tolerability and efficacy. The most common side effects are headaches, hot flashes, local skin reactions, sterile abscesses, nausea, and vaginal bleeding at the beginning of the treatment [84,87]. Most side effects are transient and do not require therapy discontinuation [93]. Several studies have focused on the long-term outcomes of GnRHa therapy. For example, different studies have shown an increase in adult height in patients treated with GnRHa for CPP [97]. No evidence was found for the possible impairment of reproductive function in either female or male children treated for CPP. Similarly, no clear evidence was found for an increased risk of polycystic ovary syndrome (PCOS) in girls. Moreover, GnRHa does not appear to increase the risk of obesity or reduced bone mineral density during adulthood in either boys or girls [84,85,86,92,93,98,99].

3.2. Diet and Timing of Puberty

3.2.1. Maternal Nutrition

An important issue to consider is the relationship between maternal status (in terms of BMI and nutrition) during pregnancy and the eventual development of PP in offspring.
Different studies have examined the relationship between maternal adiposity and the daughter’s menarcheal age. However, the findings are discordant: some authors reported inverse linear relationships between the maternal BMI [100,101] and the daughter’s age at menarche, while others did not find any associations between the two parameters [56,102]. On the other hand, recently, the Avon Longitudinal Study of Parents and Children [103], a prospective population-based cohort study, demonstrated that both a high prepregnancy BMI and a greater gestational weight gain (GWG) are associated with earlier puberty in daughters. This association was mediated by a higher prepubertal BMI in the daughters [103].
In this context, nutrition has multiple roles. Firstly, an excessive caloric intake during pregnancy leads to an excessive GWG [104], and a high GWG is considered one of the main contributors to childhood overweight development [105,106] and its consequences in terms of puberty [107]. Moreover, consuming a high-fat diet during pregnancy was found to contribute to gut dysbiosis and an increased risk of obesity in the offspring [108,109,110] that predisposes to PP development [107]. In addition, the dietary intake of specific bioactive compounds such as phytoestrogens during pregnancy was thought to influence puberty development in children [111]. Phytoestrogens, such as genistein, daidzein, O-desmethylangolensin (O-DMA), enterodiol, and enterolactone, are natural estrogenic compounds [112]. Two important groups of phytoestrogens are isoflavones (found in legumes, especially in soy) and lignans (found in seeds, cereal grains, and some fruits) [113]. Exposure to phytoestrogens is mostly dietary and these elements can cross the placental barrier [114,115]. Studies in rodents found that isoflavones during gestation can lead to early vaginal opening (mimicking early menarche in humans), irregular cyclicity, and decreased GnRH activation [116,117]. Recently, Marks et al. investigated the association between in utero exposure to phytoestrogens and early menarche, examining data from the Avon Longitudinal Study of Parents and Children, and observed a positive association between the maternal enterodiol and O-DMA urine levels and the decreased risk of early menarche in the offspring [112]. Nevertheless, further human studies concerning this topic are needed for conclusions to be made.

3.2.2. Early-Life Nutrition

Nutrition is considered one of the most important factors affecting pubertal development [6]. In terms of pubertal onset, an important link between nutrition and puberty lies in the relation between overfeeding and the consequent weight gain and obesity development [107]. Indeed, a low birth weight, followed by rapid weight gain and high body weight in infancy and childhood, has been correlated with an early onset of puberty and early menarche [2,102,118,119,120]. It is important to underline that nutrition can influence pubertal timing independently of weight gain, for instance, acting on infant–parent attachment [121,122,123].
When discussing early-life nutrition (before 2 years), two main topics should be considered: breast or formula feeding and the transition to a complementary diet.

Breastfeeding

Breast milk is the first food that newborns should ideally consume; indeed, the World Health Organization recommends exclusive breastfeeding from birth to six months of life [124]. The American Academy of Pediatrics also recommends breastfeeding for at least 12 months [125]. Moreover, the Academy of Nutrition and Dietetics highlights that exclusive breastfeeding provides optimal nutrition and health protection in the first six months of life, and the addition of complementary food from six to twelve months of age is the ideal feeding pattern for infants [126].
Different studies have attempted to evaluate the influence of breastfeeding on the process of pubertal development, but the results are not always coherent. Two European cohort studies examining the relationship between breastfeeding and early puberty onset did not find an association between breastfeeding and menarche age [119,127]. Breastfeeding was not associated with pubertal age in non-Western settings either, suggesting that the correlation may vary by context [128]. In a recent population-based cohort study in 13,511 boys and girls, a shorter duration of breastfeeding was associated with earlier pubertal development in boys but not in girls. Specifically, boys who were never breast-fed attained pubertal markers earlier (~4.1 months) than boys exclusively breastfed for at least four months [129]. In girls, the duration of breastfeeding was not associated with pubertal development [129].
On the contrary, breastfeeding was shown to postpone sexual maturation in girls at risk of early puberty onset: specifically, Aghaee and colleagues observed that non-breastfed girls were more likely to experience earlier thelarche compared to girls breastfed for six months. These results were obtained by evaluating 3331 mother–daughter pairs and adjusting for ethnicity, maternal age, and education level [121]. Furthermore, the Cebu Longitudinal Health and Nutrition Survey evidenced a 6% decrease in the risk of earlier menarche for every one-month increase in exclusive breastfeeding [130]. Moreover, evaluating 219 Korean children, Lee et al. found that children breastfed for more than six months had a lower risk of early pubertal development (in terms of Tanner stage ≥ 2 at nine years) compared to children breastfed for less than six months [131]. In a UK retrospective study, Morris et al. observed delayed menarche in women who were breastfed as infants [132]. Therefore, the evidence seems to support the protective role of breastfeeding against early puberty onset.
An important link between nutrition, including early-life feeding, and pubertal onset lies in the relation between overfeeding and the consequent weight gain [107]. Overfeeding in infancy may in fact result in overweight development and earlier puberty [102,118,120,133]. Interestingly, breastfeeding during the first year of life has been shown to decrease the odds of childhood overweight incidence by 15% when compared with formula feeding [134]. The protective effect of breast milk in terms of weight gain lies in the difference in growth rates between breastfed and formula-fed babies [102,135,136]: infants fed with breast milk show a slower growth curve relative to formula-fed children, and this seems to have a protective role against obesity development later in life [136,137,138]. The association between rapid weight gain, the so-called ‘catch up growth’, and obesity was shown to be significant, even after adjusting for infant birth weight [139].
Different factors are thought to interact in the relationship between breast milk and prevention of both overweight and precocious puberty, such as insulinlike growth factor (IGF)-1 [120,140] and leptin [141,142] levels, different bioactive nutrients present in human and formula milk [136], the microbioma composition [6,143], and appropriate self-regulation of feeding [136,144]. Increased levels of IGF-1 were indeed detected both in formula-fed infants [140] and in babies who experienced fast weight gain in the first months of life [145]. Importantly, high IGF-1 levels have been correlated with enhanced sex steroid production [146] (facilitating GnRH secretion [147]) and pubertal development [148].
It is also worth mentioning that, besides weight gain, some psychosocial factors may be involved in the association between early-life feeding and pubertal onset, such as early childhood experiences: indeed, infant–parent attachment, which was found to positively correlate with breastfeeding [149], seems to regulate the reproductive development later in life [122], and maternal depression, which was observed to inversely correlate with breastfeeding [150], has been linked to increased risk of earlier pubertal timing in girls [151].

Formula Feeding

Infant formulas are considered effective substitutes for breast milk and are created to mimic the nutritional composition of human milk [152]. There are three major classes of formulas: cow-milk-based formula, soy-based formula, and specialized formula [152].
When discussing differences between breast and formula milk, it is fundamental to analyze the nutrient composition: the majority of formula milk formulations are higher in energy and protein and lower in fat compared to breast milk [136]. Specifically, formulas have been estimated to contain as much as 50–80% more protein compared to breast milk, and the higher protein content has been considered the main culprit in the differences in weight between breastfed and formula-fed infants [135,153,154] and, importantly, in terms of obesity development [155,156]. In particular, the protein content in human milk ranges from 1.4–1.6 g/100 mL (in early lactation), to 0.8–1.0 g/100 mL (after three to four months of lactation), to 0.7–0.8 g/100 mL (after six months) [152], whereas infant formulas have a protein content from 2–2.5 g/100 mL to 2.9 g/100 mL (formulas with a higher protein content are mainly used for very low birth weight or preterm infants) [152,157].
According to the early protein hypothesis, the higher protein content in infant formulas could lead to increased circulating levels of IGF-1, resulting in accelerated growth and greater adiposity [158]. Besides different nutrient substrates, formula milk is more energy-dense, and this may have an obesogenic effect [159]. Interestingly, an obesogenic effect was also correlated with bottle use: feeding from a bottle leads to worse self-regulation of satiety relative to breastfeeding, increasing the risk of overweight development [144]. Novotny et al. analyzed the age, ethnicity, menstrual status, and feeding pattern during infancy among 340 girls from nine to fourteen years old and observed increased body fat deposition, with consequent earlier attainment of menarche, in formula-fed girls compared to those who were breastfed [160].
An additional factor to consider when discussing early-life nutrition is gut microbiome development: indeed, breast milk is considered a significant factor involved in the microbiome structure of infants [161,162], and infants fed with human and artificial milk seem to have different microbiome compositions. Formula feeding has been associated with a less stable microbiota, characterized by a different bacterial composition and a higher bacterial diversity compared with breastfeeding [162]. Emerging evidence suggests that the gut microbiome, specifically the proportion of Firmicutes- to Bacteroides-type bacteria, has a relevant role in obesity development [163,164,165]. However, few data exist to date, and further studies are thus needed to clarify this association and draw conclusions concerning this topic and the possible repercussions on pubertal onset.

Soy-Based Formulas

When discussing infant nutrition and pubertal timing, it is also worth mentioning soy-based feeding. Formulas made from soy protein are useful options for infants with galactosemia or congenital lactase deficiency and are also used for infants with milk allergies [152]. Because of the phytoestrogen content in this type of formula, its use is limited by the concern of potential harm to infants [152,166], but evidence on this subject is controversial [167].
Agdent et al. analyzed the timing of menarche in relation to infant feeding methods in 2920 girls, evaluating the potential effects of soy isoflavone exposure through soy-based infant feeding. They reported a small increased risk of menarche in early adolescence in soy-fed girls compared to their non-soy-fed peers [167]. Specifically, early soy-fed girls were at 25% higher risk of menarche during the follow-up compared to girls fed with non-soy-based infant formula or milk [167]. These findings may be due to the weak estrogenic effects of some soy isoflavones, specifically genistein and daidzein, present in various soy products [167].
Evidence of estrogen exposure through soy was also detected in the urogenital epithelium and uterus of infants fed with soy formula [168]. Furthermore, an association was recently suggested between manganese, present in higher amounts in soy formulas, and early pubertal onset [169,170]. In addition, in a retrospective case-control study analyzing 161 girls, 84 of whom were affected by central precocious puberty, Felìcio et al. found that the use of soy was associated with central precocious puberty, whereas exclusive breastfeeding was a protective factor [171]. Specifically, exclusive breastfeeding for more than six months was shown to be negatively correlated with the presence of the pathology (r = −0.2; p < 0.05), whereas the use of soy was shown to be significantly higher in the group of girls affected by central precocious puberty (OR: 3.8; IC 95%: 1.5–6, p < 0.05) and positively correlated with the presence of the disease (r = 0.2; p < 0.01) [171]. Moreover, the duration of the soy intake (in terms of years) was correlated with the bone age [171]. On the other hand, Giampietro et al. evaluated the hormonal and metabolic effects of long-term (more than six months) soy-protein formula feeding in 48 children and did not find any correlation between soy feeding in early life and hormonal effects: neither signs/symptoms of precocious puberty in girls nor those of gynecomastia in boys [172]. The bone age was also within the normal range [172]. In a nested case–control study prospectively examining the possible association between soy-formula feeding and early pubertal signs, Sinai et al. found no difference in pubertal development, growth, or BMI values among those provided with soy-based formula during infancy [173].
Thus, although the association between early soy exposure and early menarche is biologically plausible, different studies have produced conflicting results [167,168,172] and further research is needed to elucidate this topic.

Complementary Feeding

Another important factor to consider in the context of early-life nutrition, especially from six months of life, is the transition from breast/formula feeding to a complementary diet. Interestingly, both the timing [174] and the type [175,176] of complementary solid food introduction seem to be associated with an increased risk of childhood obesity [137,177] and, possibly, with precocious puberty [2].
The late introduction of complementary feeding was shown to be protective against overweight later in life [178], and the introduction of solid foods before four months was associated with a six-fold increased risk of obesity development at three years in formula-fed babies [174]. Thompson and Bentley examined the infant characteristics associated with age-inappropriate feeding among mothers and children participating in the U.S. Infant Care and Risk of Obesity Study (a cohort study of 217 low-income, first-time mothers and infants followed from three to eighteen months of age) and found that more than 75% of infants received solids or juice by three months of age [175]. Inappropriate feeding was also associated with a higher daily energy intake and an increased weight-for-length, factors known to increase the long-term obesity risk [175]. In terms of specific nutrients and overweight risk, a high polyunsaturated fat intake was associated with a lower risk of overweight [175], whereas a high protein consumption was associated with a higher risk of adiposity development [176,179]. Analyzing children of the Danish National Birth Cohort, Morgen et al. examined whether protein intake at the age of 18 months and the timing of the introduction of complementary food could be associated with the body mass index and overweight at ages seven and eleven years. They found that an earlier introduction of complementary food (before four months) was not associated with an increased BMI at age seven years, but it was associated with a higher BMI at eleven years. Moreover, protein intake from dairy products was associated with increased BMI values at age seven, and protein intake from meat and fish was linked to a higher BMI (both at seven years and at eleven years) and increased odds of overweight at age seven [179]. As with milk, complementary feeding also influences the gut microbiota and the consequent risk of later obesity [164]. Unfortunately, studies on the relationship between complementary feeding, intestinal flora, and early puberty are lacking.
An additional issue to consider when discussing complementary food and puberty is the introduction of soy-based foods. Indeed, this issue has been extensively researched, primarily because of the amount of isoflavones provided by these foods [166,180]. Isoflavones, initially classified as phytoestrogens, have been more recently considered selective estrogen receptors [180]. In their review, Chakraborty et al. [167] suggested that phytoestrogens may play a role in precocious puberty [181]. Unfortunately, little soy-related research involving children has been conducted, but it was shown that, in Asia, soy is consumed at a very early stage of life (between six and twelve months of age), mainly as tofu and miso soup [180,182]. Consumption of soy-based foods at early ages was also reported by Wada et al. in a survey involving more than 400 Japanese boys and girls aged three to six years [183]. Moreover, it was reported that, in Singapore, 70% of healthy children younger than ten years consumed soy products. Of these, >95% consumed this type of food prior to eighteen months of age [184]. Unfortunately, although there is a particular interest in understanding the effects of isoflavones in young people, there has been limited investigation of the effects of soy-based foods on pubertal onset, especially for evaluating the introduction of these foods at an early age [180]. Two Korean case–control studies demonstrated higher levels of urinary isoflavones in girls with precocious puberty relative to the controls [185,186]. Indeed, Kim et al. showed that girls (aged 8.6 ± 0.8 years) with central precocious puberty had significantly higher serum concentrations of total isoflavones compared to the age-matched controls (77.9 ± 57.2 nmol/L vs 62.9 ± 40.2 nmol/L) [185]. Yum et al. identified a higher plasma genistein concentration in girls with precocious puberty (aged 8.91 ± 1.40 years) compared to the control peers (8.12 ± 12.71 ng/mL vs 3.04 ± 4.21 ng/mL) [186]. In agreement, Segovia-Siapto et al., evaluating 248 boys in a cross-sectional study, found that pubarche manifested earlier in those who consumed moderate/high amounts of soy compared to the low-soy consumers [187]. On the other hand, a prospective study involving 1239 girls aged six to eight years living in the United States did not show any relation between pubertal development and urinary isoflavone excretion [188]. Moreover, Cheng et al. examined whether the intake of isoflavones in healthy children before their pubertal growth spurt could be associated with puberty timing and showed that girls with higher prepubertal isoflavone intake appeared to enter puberty at a later age [189].
As reported in the literature, only a few studies involving children have been conducted, and data are limited; thus, more research concerning this fascinating issue is needed for conclusions to be drawn.
The influences of early-life nutrition are summarized in Figure 2.

3.2.3. Childhood Nutrition

Considering childhood nutrition (between 2 and 12 years), a healthy diet should ensure a balanced energy intake and an adequate supply of macro/micronutrients. The energy intake should be determined individually according to individual needs, energy expenditure, and growth. A commentary by the ESPGHAN Committee on Nutrition recommends eating at least four meals a day, with a strong emphasis on breakfast. The food portions should be appropriate for the age and nutritional status. Snacks should be healthy, and the consumption of energy-dense foods should be avoided. The intake of fast-absorbing carbohydrates and simple sugars should be limited in favor of slow-absorbing carbohydrates. Sugar-sweetened drinks should be avoided, and daily water intake should be ensured. The fat intake should meet, but not exceed, the nutritional requirements, and polyunsaturated fatty acids (PUFAs) should be preferred. The high consumption of plant-based foods should be ensured with adequate monitoring of the nutrient intake [190]. Several nutrient-based studies suggest that childhood diet is a modifiable risk factor for precocious puberty. A combination of different nutritional aspects, rather than a single dietary factor, influences the time of sexual maturation [191]. Adherence to specific nutrient recommendations at the pediatric age results in a higher dietary quality and is relevant to the timing of puberty.

Energy Imbalance: High-Energy Diet and Body Composition

A high-energy diet and the resulting increased prepubertal BMI are associated with an earlier onset of puberty. Nguyen et al. [192] reported a significant correlation between a higher energy intake during childhood and PP in girls with elevated BMI levels. This novel result is important, as previous studies have not suggested a consistent association between childhood energy intake and the onset of puberty and have not clarified whether body composition has a greater impact on the onset or duration of puberty [123,193,194,195,196]. Evidence from studies of female mice and monkeys has also shown that a high-energy diet and the subsequent gain in body fat cause increased levels of leptin, a signal to the brain that leads to the onset of puberty [197,198].
If an energy imbalance and an elevated BMI are related to early puberty, a weight reduction can be expected to delay puberty compared to a permanently overweight state or further weight gain. A one-year lifestyle intervention study in overweight/obese children showed a significant reduction in precocious puberty in girls who achieved an improvement in body composition [199]. In prepubertal male rat models, nutritional restriction delayed the reproductive development and reduced the energy imbalance. Short-term refeeding, although with few effects on the body composition, restored the reproductive endpoints (testicular volume and sperm production) and the plasma hormone concentrations (plasma levels of IGF-1, leptin, and insulin) [200].
The relationship between body fat and the reproductive axis in girls is well known and can be regarded as an evolutionary adaptation that ensures pregnant mammals have adequate fat reserves to support both the mother and the growing fetus [28].
However, a small number of reports show a correlation between body fat and PP among boys. Although preliminary longitudinal studies including only boys confirmed an association between a higher prepubertal body mass and early puberty [201,202], a subsequent prospective analysis showed a correlation with a later onset of puberty [33]. Although most studies have reported unequivocal correlations in both sexes, it cannot be excluded that the influence of prepubertal body composition on the timing of puberty may be different for boys [123].
The possible relationship between body fat and early puberty has been the subject of many studies. Leptin is an adipokine secreted by adipose tissue and is considered a permissive factor in the regulation of the HPG axis. The rationale is that there are sufficient energy reserves in adipose tissue to initiate fertility, which is a necessary but not sufficient prerequisite [29]. Leptin concentrations increase before the onset of puberty in girls, and a peak in leptin concentrations precedes a peak in gonadotropin concentrations [203]. An association between the leptin concentration and the timing of menarche has been widely demonstrated, and the resulting increased body fat has been associated with an earlier age at menarche. Thus, leptin appears to be the link between energy imbalance and the HPG axis [29,199].
PP in children with an altered body composition may also depend on peripheral mechanisms: IGF-1 activation, adrenal androgen overproduction typical of obesity, and increased conversion of androgens to estrogens due to the aromatic action of adipose tissue [204,205,206].
A study in mice showed an interaction between insulin and leptin signaling during the peripubertal period [207]. Insulin resistance results in lower concentrations of sex hormone-binding globulin and consequently increases the bioavailability of sex steroids [9]. This results in an earlier onset and an altered rhythm of puberty in obese children with insulin resistance [199].
Leptin levels and adiposity appear to play a direct role in early puberty and an indirect role in cardiometabolic risk in adolescents [208]. Therefore, the regulation of energy imbalance and weight should be recommended to control the timing of puberty and prevent altered cardiometabolic status in pubertal adolescents.

3.2.4. Macronutrients

High Protein Intake

Dietary protein intake during childhood is crucial for the timing of puberty, as it promotes the rebound of adiposity before the pubertal onset [2,209]. Furthermore, a high intake of animal protein has been shown to stimulate the HPG axis through the secretion of IGF-1 [192,210].
A prepubertal diet high in animal protein leads to earlier pubertal development. Günther et al. [211] observed that children who consumed a diet with animal protein in the highest tertile resulted in an earlier age (0.6 years earlier) at the pubertal spurt, growth velocity, and menarche compared to boys and girls whose consumption was in the lowest tertile. Similarly, Berkey et al. [212] demonstrated an earlier menarche (0.6 years earlier) among girls with a high intake (8 g per day) of animal protein.
Although a high intake of animal protein increases infantile adrenal androgen secretion and results in the earlier onset of puberty, Remer et al. [213] showed that these two variables were independent of each other.
In particular, one study analyzed data from the National Health and Nutrition Examination Survey and showed that a higher milk consumption at 5–12 years of age was associated with an earlier age of menarche [214]. Furthermore, according to the Avon Longitudinal Study of Parents and Children, a higher prepubertal meat intake in a large sample of girls correlated with higher odds of menarche at age 12.5 years compared to their counterparts who consumed less meat [215].
However, the dietary intake of milk/dairy products and meat provides key nutrients for the growth and development of children. Therefore, it is imperative to recommend the balanced consumption of dairy products to ensure the intake of essential micronutrients such as calcium, magnesium, and iodine and the balanced consumption of meat to support the intake of zinc, iron, and vitamin B12 [2,192].

High Fat Intake

Several observational studies have evaluated whether fat intake contributes to early pubertal development because of its potential influence on estrogen metabolism. Although early results provided conflicting data, more recent studies support the hypothesis that a high-fat diet promotes the onset of PP independent of BMI [2].
PUFAs are essential fatty acids involved in the onset of puberty through direct effects on steroidogenesis and mammary gland development [192,216]. Previous studies have shown that a higher PUFA intake at ages 3 and 7 years promoted early menarche [217]. Nguyen et al. [192] demonstrated that a high intake of PUFAs during late childhood was associated with the risk of early menarche, with a dose-dependent effect.
Several studies have investigated the unique effects of omega-3 and omega-6 fatty acids on the onset of early puberty. Preliminary studies showed that a higher intake of omega-3 fatty acids was related to an earlier menarche [218]. Later studies showed that high levels of plasma dihomo-γ-linolenic acid, an intermediate metabolite of n-6 polyunsaturated fatty acids, contributed to promoting early puberty in girls [219]. However, the predominant of the two fatty acids and their optimal ratio to promote a healthy puberty course are still under investigation [123].
The data regarding monounsaturated fatty acids (MUFAs) are conflicting. A preliminary study showed that a high amount of MUFAs could promote the early onset of puberty through the stimulation of mammary gland development and the elevation of serum IGF-1 levels [220]. However, Nguyen et al. [192] demonstrated that a high intake of MUFAs delayed the onset of menarche.
Animal and molecular studies suggest that a high-fat diet induces low-grade hypothalamic inflammation and the subsequent premature activation of GnRH. The potential mechanisms reported are direct microglial activation, the secretion of prostaglandins, neurotrophic factors, and the stimulation of GnRH neurons [221].
A study in mice showed that a high-fat diet led to early puberty with irreversible neuronal damage. Therefore, this study suggested the importance of avoiding high fat intake in childhood to prevent premature puberty and neurodevelopmental damage in mice [222].
Thus, in summary, these findings suggest that a high dietary fat intake may promote the early onset of menarche. However, studies examining male puberty are lacking, and the role of specific fatty acids needs clarification in further studies.

High Carbohydrate Intake

Although high intake of sugary beverages and sweets in childhood is known to have adverse effects on children’s health, the effects on the onset of puberty are still unclear. On the topic of the short- and long-term complications, a recent position paper from the European Academy of Pediatrics and the European Group on Childhood Obesity stated that displaying sugary drinks to children and adolescents should be banned [223]. A prospective study found that a higher prepubertal consumption of sugary drinks predicted an earlier menarche onset, regardless of the baseline BMI. Among the sugary drinks tested, the consumption of diet soda and fruit juice showed no such association [224]. Studies have found that a more frequent consumption of sweetened and artificially sweetened soft drinks is predictive of an earlier menarche due to an increase in the BMI, an immediate increase in the circulating insulin concentrations, and the upregulation of hormones [191,225]. Valsamakis et al. [221] also demonstrated that a high-glycemic-index diet causes early puberty through a mechanism of hypothalamic inflammation. However, further studies are still needed to confirm these preliminary hypotheses. Future research could evaluate the effect on puberty in males and on other markers of puberty.

Micronutrients

Evidence suggests that the requirements of micronutrients such as iron, zinc, calcium, and vitamin D increase during the pubertal spurt [6]. Therefore, several studies have been conducted to highlight the possible influences of micronutrients on the timing of puberty, but to date, the results have been controversial. Several studies report emerging evidence regarding the possible predictive role of iron, magnesium, zinc, and carotene in early menarche.
A longitudinal study conducted on girls from the Bogota school children cohort (BoSCCo) showed that a higher plasma ferritin status and a greater iron accumulation during childhood were precursors of the early onset of menarche [226]. Subsequently, Nguyen et al. [192] consistently found that a high iron intake was associated with the early onset of menses in girls.
A study found that a prepubertal diet rich in zinc and magnesium was a predictor of early menarche among British girls [217].
A higher carotene intake during childhood has been associated with the onset of early menarche [192]. Although the antiestrogenic effect of carotene is known, a very high intake has the opposite effect, which is exerted in a dose-dependent manner [192,227,228].
Although several studies have investigated the role of fat-soluble vitamins in early puberty, the data are still conflicting and warrant further research. Vitamin D receptors are known to be present in the ovaries, uterus, placenta, testes, and pituitary glands; however, to date, there are no solid data in the literature supporting the role of vitamin D in early puberty [2,229].
Although previous studies have shown that a low childhood intake of vitamin C elevates leptin concentrations, resulting in an early pubertal onset, it was subsequently demonstrated that lower vitamin C levels were correlated with a later menarche age [123,230].
Similarly, conflicting data could not confirm the role of vitamin A intake in pubertal onset [123].
Finally, conflicting results showed that the prepubertal intake of dietary fiber and isoflavones delays the pubertal onset. It has been proposed that the dietary fiber intake affects pubertal development by reducing the availability of circulating estrogen levels [123]. Preliminary studies associated a higher cereal fiber intake at age 10 years with a later onset of thelarche and menarche [231]. However, Cheng et al. [189] showed that fiber intake was not correlated with any pubertal markers (Tanner stage 2 for breast development/testicle volume and age at menarche/change in voice) and pubertal growth in either girls or boys.
Nguyen et al. instead reported that girls with a high intake of fiber and monosaturated fatty acids in childhood experienced a later menarche onset (RR = 0.83, 95% CI = 0.69–1.00, I2 = 31%; RR = 0.66, 95% CI = 0.50–0.86, I2 = 0%, respectively). Thus, an high intake of fiber-rich foods may protect girls from an early menarche onset [192]. Moreover, in a cross-sectional survey undertaken in 1,340 children and adolescents aged 9–15 years, Tian et al. evaluated fiber consumption in relation to the different stages of pubertal development (using Tanner criteria) and reported that the dietary fiber intake, especially fruit fiber, was lower in the children and adolescents with an early commencement of puberty development [232]. Regardless, further studies are necessary to better establish the relationship between dietary fiber and pubertal development.
Isoflavones are nutrients that are structurally and functionally similar to endogenous estrogens and have an inhibitory effect on aromatase [123]. Cheng et al. [189] reported that a high isoflavone intake predicted a delayed thelarche (0.7 years later) and a later pubertal spurt (0.6 years later) in girls. However, dietary isoflavone intake was not implicated in the timing of puberty in boys.
The role of micronutrients in the onset of early puberty is a much-debated topic that lacks solid evidence. Further studies are needed to identify the possible predictive role in male puberty and the mechanisms underlying the associations with the timing of puberty.

3.2.5. Dietary Patterns

Mediterranean Diet

The cornerstones of the Mediterranean Diet (MD) are the daily intake of vegetables, fruits, and preferably whole grains. Milk and low-fat derivatives should be moderately consumed, and olive oil should be consumed as a source of fat. Fish and legumes should be moderately consumed at the expense of red meat and eggs. The intake of sweets, soft drinks, and packaged foods should be sporadic, and water should be the main source of hydration [233,234].
This cultural dietary pattern is associated with a reduced weight and a lower abdominal adiposity, with a beneficial effect on anthropometric parameters and cardiometabolic risk factors [235].
Several studies have analyzed the correlation between PP and the macro/micronutrients of this dietary pattern, such as long-chain fatty acids (LCFAs), fiber, vegetables, and red meat [189,192].
Only one study specifically focused on the relationship between MD and the onset of puberty in the pediatric population. Szamreta et al. [236] demonstrated that close adherence to the MD could decrease the risk of PP in a 9–10-year-old cohort of girls in New Jersey. In particular, a significantly reduced likelihood of breast development and a later age of menarche were observed compared to girls with poor MD adherence. The results were independent of the BMI values, body composition measures, or fat distribution. The data analysis suggested that the results were related to a high consumption of fish, vegetables, and low-fat milk.
Further studies are required to confirm this preliminary result and to clarify the mechanism whereby the MD may influence puberty.

Vegetarian Diet

The most common type of vegetarianism is the lacto-ovo-vegetarian diet, which includes milk and eggs but not meat or fish. Veganism is a strict vegetarian diet that excludes all foods of animal origin. The risk of insufficient nutrient intake increases with the degree of dietary restriction and poses a risk of malnutrition if micronutrients are not properly supplemented [237].
Although the components of these dietary patterns have been analyzed in relation to early puberty, there is limited evidence correlating vegetarian diets with the onset of puberty.
A previous study showed that a vegetarian lifestyle delays the onset of menarche among well-nourished girls. A high consumption of legumes correlated with an onset of menarche five to six months later. Higher intakes of carbohydrates, thiamine, and iron were associated with the onset of menarche seven to eight months later. In contrast, a higher intake of meat promoted the onset of menarche six months earlier [238,239].
Perksy et al. [240] examined the onset of menarche among vegetarian and non-vegetarian adolescent girls. The diets of the two groups were similar in energy content, but the vegetarian diet was significantly lower in total fat, saturated fat, and protein. The vegetarian girls also had higher intakes of starch and fiber and lower intakes of sucrose and caffeine. This study showed that in the two groups with different diets but an apparently similar energy balance, no differences in the age at menarche were observed (mean age at menarche of both groups: 12.4 ± 1.3 years).
In a study of 481 girls, including 325 non-vegetarian and 156 vegetarians, only 13% of the vegetarians had an early menarche, and 28% had a late menarche. Data on their height and weight were not provided, so this study could not define whether this difference depended on the vegetarian diet influence or the differences in energy balance [241].
Subsequent studies showed significantly lower leptin levels in children on a vegetarian diet compared with children on an omnivorous diet. These findings would support the hypothesis that vegetarianism may delay bone growth and development in childhood [242]. In addition, lower leptin levels in vegetarian children reflect lower body fat stores [243].
There is currently no clear evidence on how the vegetarian diet affects puberty onset. The available preliminary data suggest that, when energy and macro/micronutrients are freely available through the food intake, the age at menarche does not differ between vegetarians and non-vegetarians.

New Frontiers in Dietary Patterns

Correlations between PP and new dietary patterns have recently emerged. In the ’lower diet quality’ dietary pattern, total fat and saturated fat predominated at the expense of water, carbohydrates, fiber, vitamin C, folate, vitamin E, sodium, calcium, iron, and a lower energy balance ratio in prepuberty. This dietary pattern was associated with an early puberty (0.4 years earlier) among prepubertal children, regardless of body composition [244].
Chen et al. investigated the effects of three types of dietary patterns, identified as the ’traditional diet’, the ‘unhealthy diet’, and the ’protein diet’, on early puberty among 6–12-year-old schoolchildren in China. The ‘traditional diet’ consisted of vegetables, fruit, red meat, white meat, and seafood. The ’unhealthy diet’ showed a prevalence of sweets, snacks, soft drinks, and fried food. A high load of neogala, protein powder, and dairy products represented the ’protein diet’. Among these, only the ’unhealthy diet’ showed a statistically significant relationship with early puberty in males and females [191].
Duan et al. identified a modern dietary pattern with a high intake of fast foods, milk, fruit, and eggs and a low intake of wheat and vegetables. A high adherence to this dietary pattern during childhood was associated with an increased risk of an early menarche among Chinese girls. The hypothesized mechanisms were based on high milk consumption, high fat consumption, and low plant consumption [245].
Although nutritional research has reported new dietary patterns that promote early puberty, further studies are needed to identify a common dietary pattern that combines macro/micronutrients with a positive impact on the early onset of puberty.
The influences of early-life nutrition are summarized Figure 3.
In Table 2, the role of the diet in early life and during childhood on the timing of puberty is reviewed.

4. Conclusions

The timing of puberty represents an important public health issue with clinical and social implications. Even though a major limitation of pubertal timing studies is that they are conducted cross-sectionally, so the possible changes in pubertal progression should be interpreted with caution before being confirmed by longitudinal studies, the literature supports the role of nutritional status and nutrients as determinants of the timing of sexual development.
More than 20% of the variation in pubertal timing may be explained by the nutritional status during early life and childhood. This correlation can be related to rapid weight gain during infancy and childhood, but some effects are also independent of weight gain.
Breast milk, the recommended form of nutrition from birth to six months, seems to have an important protective role against early puberty onset, mainly due to its positive influence on infant growth rate and childhood overweight prevention.
A diet characterized by a high energy, fat, and protein intake and a high glycemic index associated with unbalanced micronutrient supplies seems to be involved in hormonal stimulation, leading to the precocious activation of puberty. Although a high BMI influences puberty timing, unbalanced intakes of fat, protein, and carbohydrates can influence puberty, regardless of body composition. Future studies are needed to clarify the possible preventive and therapeutic roles of micronutrients. The role of the MD and the vegetarian lifestyle deserves further study to assess the correlation with puberty timing. Nowadays, a healthy diet and lifestyle can be proposed as preventive measures for PP. Future research should define a healthy dietary pattern incorporating macro/micronutrients with a beneficial effect on the timing of puberty.
Research on the nutritional determinants of the timing of puberty in boys is relatively scarce. A different effect of the environment on the timing of puberty between the sexes could be supported; further research involving boys is desirable to close this gap.
As a narrative review, this manuscript takes a less formal methodologic approach than systematic reviews. The impact of the study design on the results could be considered; it is well recognized that some research designs are more powerful than others in their ability to answer research questions on the association between risk factors.
However, this study presents an overview on the role of nutritional factors as a modifiable factor for precocious puberty, which is useful as confirmation that it is important to have better knowledge of the mechanism whereby nutrients may influence the regular timing of puberty in order to prevent PP and related complications.

Author Contributions

Conceptualization V.C., E.V. and C.M.; investigation, V.C., E.V., V.C.M., M.C.P., V.R., A.S., A.B. and C.M.; writing—original draft preparation V.C., E.V., V.C.M., M.C.P., V.R., A.S., A.B. and C.M.; writing—review and editing, V.C., E.V., G.Z. and C.M.; supervision, V.C., E.V. and G.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Abreu, A.P.; Kaiser, U.B. Pubertal Development and Regulation. Lancet Diabetes Endocrinol. 2016, 4, 254–264. [Google Scholar] [CrossRef] [Green Version]
  2. Calcaterra, V.; Cena, H.; Regalbuto, C.; Vinci, F.; Porri, D.; Verduci, E.; Mameli, C.; Zuccotti, G.V. The Role of Fetal, Infant, and Childhood Nutrition in the Timing of Sexual Maturation. Nutrients 2021, 13, 419. [Google Scholar] [CrossRef] [PubMed]
  3. Villamor, E.; Jansen, E.C. Nutritional Determinants of the Timing of Puberty. Annu. Rev. Public Health 2016, 37, 33–46. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Gruszfeld, D.; Kułaga, Z.; Wierzbicka, A.; Rzehak, P.; Grote, V.; Martin, F.; Poncelet, P.; Closa-Monasterolo, R.; Escribano, J.; Verduci, E.; et al. Leptin and Adiponectin Serum Levels from Infancy to School Age: Factors Influencing Tracking. Child. Obes. 2016, 12, 179–187. [Google Scholar] [CrossRef] [PubMed]
  5. Latronico, A.C.; Brito, V.N.; Carel, J.-C. Causes, Diagnosis, and Treatment of Central Precocious Puberty. Lancet Diabetes Endocrinol. 2016, 4, 265–274. [Google Scholar] [CrossRef]
  6. Soliman, A.; Sanctis, V.; Elalaily, R. Nutrition and Pubertal Development. Indian J. Endocrinol. Metab. 2014, 18, 39. [Google Scholar] [CrossRef] [PubMed]
  7. Gregory, A.T.; Denniss, A.R. An Introduction to Writing Narrative and Systematic Reviews-Tasks, Tips and Traps for Aspiring Authors. Heart Lung Circ. 2018, 27, 893–898. [Google Scholar] [CrossRef] [Green Version]
  8. Biro, F.M.; Chan, Y.-M. Normal Puberty. Available online: https://www.uptodate.com/contents/normal-puberty?search=normal%20puberty&source=search_result&selectedTitle=1~150&usage_type=default&display_rank=1 (accessed on 9 November 2021).
  9. Sørensen, K.; Mouritsen, A.; Aksglaede, L.; Hagen, C.P.; Mogensen, S.S.; Juul, A. Recent Secular Trends in Pubertal Timing: Implications for Evaluation and Diagnosis of Precocious Puberty. Horm. Res. Paediatr. 2012, 77, 137–145. [Google Scholar] [CrossRef] [PubMed]
  10. Farello, G.; Altieri, C.; Cutini, M.; Pozzobon, G.; Verrotti, A. Review of the Literature on Current Changes in the Timing of Pubertal Development and the Incomplete Forms of Early Puberty. Front. Pediatr. 2019, 7, 147. [Google Scholar] [CrossRef] [Green Version]
  11. Kale, A.; Deardorff, J.; Lahiff, M.; Laurent, C.; Greenspan, L.C.; Hiatt, R.A.; Windham, G.; Galvez, M.P.; Biro, F.M.; Pinney, S.M.; et al. Breastfeeding Versus Formula-Feeding and Girls’ Pubertal Development. Matern. Child Health J. 2015, 19, 519–527. [Google Scholar] [CrossRef] [Green Version]
  12. Uenoyama, Y.; Inoue, N.; Nakamura, S.; Tsukamura, H. Central Mechanism Controlling Pubertal Onset in Mammals: A Triggering Role of Kisspeptin. Front. Endocrinol. 2019, 10, 312. [Google Scholar] [CrossRef] [Green Version]
  13. Iwasa, T.; Matsuzaki, T.; Murakami, M.; Fujisawa, S.; Kinouchi, R.; Gereltsetseg, G.; Kuwahara, A.; Yasui, T.; Irahara, M. Effects of Intrauterine Undernutrition on Hypothalamic Kiss1 Expression and the Timing of Puberty in Female Rats. J. Physiol. 2010, 588, 821–829. [Google Scholar] [CrossRef]
  14. Ojeda, S.R.; Dubay, C.; Lomniczi, A.; Kaidar, G.; Matagne, V.; Sandau, U.S.; Dissen, G.A. Gene Networks and the Neuroendocrine Regulation of Puberty. Mol. Cell. Endocrinol. 2010, 324, 3–11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Connor, N.E. Impact of Fetal and Neonatal Malnutrition on the Onset of Puberty and Associated Noncommunicable Disease Risks. Adolesc. Health Med. Ther. 2011, 2, 15–25. [Google Scholar] [CrossRef] [Green Version]
  16. O’Connor, D.M.; Blache, D.; Hoggard, N.; Brookes, E.; Wooding, F.B.P.; Fowden, A.L.; Forhead, A.J. Developmental Control of Plasma Leptin and Adipose Leptin Messenger Ribonucleic Acid in the Ovine Fetus during Late Gestation: Role of Glucocorticoids and Thyroid Hormones. Endocrinology 2007, 148, 3750–3757. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Quinton, N.D.; Smith, R.F.; Clayton, P.E.; Gill, M.S.; Shalet, S.; Justice, S.K.; Simon, S.A.; Walters, S.; Postel-Vinay, M.C.; Blakemore, A.I.; et al. Leptin Binding Activity Changes with Age: The Link between Leptin and Puberty. J. Clin. Endocrinol. Metab. 1999, 84, 2336–2341. [Google Scholar] [CrossRef] [PubMed]
  18. Fandiño, J.; Toba, L.; González-Matías, L.C.; Diz-Chaves, Y.; Mallo, F. Perinatal Undernutrition, Metabolic Hormones, and Lung Development. Nutrients 2019, 11, 2870. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Abbassi, V. Growth and Normal Puberty. Pediatrics 1998, 102, 507–511. [Google Scholar]
  20. Marshall, W.A.; Tanner, J.M. Variations in Pattern of Pubertal Changes in Girls. Arch. Dis. Child. 1969, 44, 291–303. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Marshall, W.A.; Tanner, J.M. Variations in the Pattern of Pubertal Changes in Boys. Arch. Dis. Child. 1970, 45, 13–23. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Toppari, J.; Juul, A. Trends in Puberty Timing in Humans and Environmental Modifiers. Mol. Cell. Endocrinol. 2010, 324, 39–44. [Google Scholar] [CrossRef] [PubMed]
  23. Rosenfield, R.L.; Lipton, R.B.; Drum, M.L. Thelarche, Pubarche, and Menarche Attainment in Children with Normal and Elevated Body Mass Index. Pediatrics 2009, 123, 84–88. [Google Scholar] [CrossRef] [PubMed]
  24. Biro, F.M.; Kiess, W. Contemporary Trends in Onset and Completion of Puberty, Gain in Height and Adiposity. Endocr. Dev. 2016, 29, 122–133. [Google Scholar] [CrossRef] [PubMed]
  25. Brix, N.; Ernst, A.; Lauridsen, L.L.B.; Parner, E.; Støvring, H.; Olsen, J.; Henriksen, T.B.; Ramlau-Hansen, C.H. Timing of Puberty in Boys and Girls: A Population-Based Study. Paediatr. Perinat. Epidemiol. 2019, 33, 70–78. [Google Scholar] [CrossRef]
  26. Ogden, C.L.; Yanovski, S.Z.; Carroll, M.D.; Flegal, K.M. The Epidemiology of Obesity. Gastroenterology 2007, 132, 2087–2102. [Google Scholar] [CrossRef]
  27. Wagner, I.V.; Sabin, M.A.; Pfäffle, R.W.; Hiemisch, A.; Sergeyev, E.; Körner, A.; Kiess, W. Effects of Obesity on Human Sexual Development. Nat. Rev. Endocrinol. 2012, 8, 246–254. [Google Scholar] [CrossRef]
  28. Kaplowitz, P.B. Link between Body Fat and the Timing of Puberty. Pediatrics 2008, 121, S208–S217. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Biro, F.M.; Khoury, P.; Morrison, J.A. Influence of Obesity on Timing of Puberty. Int. J. Androl. 2006, 29, 272–277. [Google Scholar] [CrossRef]
  30. Li, W.; Liu, Q.; Deng, X.; Chen, Y.; Liu, S.; Story, M. Association between Obesity and Puberty Timing: A Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public. Health 2017, 14, E1266. [Google Scholar] [CrossRef] [PubMed]
  31. Lundeen, E.A.; Norris, S.A.; Martorell, R.; Suchdev, P.S.; Mehta, N.K.; Richter, L.M.; Stein, A.D. Early Life Growth Predicts Pubertal Development in South African Adolescents. J. Nutr. 2016, 146, 622–629. [Google Scholar] [CrossRef] [Green Version]
  32. Zhai, L.; Liu, J.; Zhao, J.; Liu, J.; Bai, Y.; Jia, L.; Yao, X. Association of Obesity with Onset of Puberty and Sex Hormones in Chinese Girls: A 4-Year Longitudinal Study. PLoS ONE 2015, 10, e0134656. [Google Scholar] [CrossRef]
  33. Lee, J.M.; Kaciroti, N.; Appugliese, D.; Corwyn, R.F.; Bradley, R.H.; Lumeng, J.C. Body Mass Index and Timing of Pubertal Initiation in Boys. Arch. Pediatr. Adolesc. Med. 2010, 164, 139–144. [Google Scholar] [CrossRef] [PubMed]
  34. Euling, S.Y.; Selevan, S.G.; Pescovitz, O.H.; Skakkebaek, N.E. Role of Environmental Factors in the Timing of Puberty. Pediatrics 2008, 121, S167–S171. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Özen, S.; Darcan, Ş. Effects of Environmental Endocrine Disruptors on Pubertal Development. J. Clin. Res. Pediatr. Endocrinol. 2011, 3, 1–6. [Google Scholar] [CrossRef] [PubMed]
  36. Harley, K.G.; Berger, K.P.; Kogut, K.; Parra, K.; Lustig, R.H.; Greenspan, L.C.; Calafat, A.M.; Ye, X.; Eskenazi, B. Association of Phthalates, Parabens and Phenols Found in Personal Care Products with Pubertal Timing in Girls and Boys. Hum. Reprod. Oxf. Engl. 2019, 34, 109–117. [Google Scholar] [CrossRef] [PubMed]
  37. Henley, D.V.; Lipson, N.; Korach, K.S.; Bloch, C.A. Prepubertal Gynecomastia Linked to Lavender and Tea Tree Oils. N. Engl. J. Med. 2007, 356, 479–485. [Google Scholar] [CrossRef] [Green Version]
  38. Leijs, M.M.; Koppe, J.G.; Olie, K.; van Aalderen, W.M.C.; de Voogt, P.; Vulsma, T.; Westra, M.; ten Tusscher, G.W. Delayed Initiation of Breast Development in Girls with Higher Prenatal Dioxin Exposure; a Longitudinal Cohort Study. Chemosphere 2008, 73, 999–1004. [Google Scholar] [CrossRef] [PubMed]
  39. Hauser, R.; Sergeyev, O.; Korrick, S.; Lee, M.M.; Revich, B.; Gitin, E.; Burns, J.S.; Williams, P.L. Association of Blood Lead Levels with Onset of Puberty in Russian Boys. Environ. Health Perspect. 2008, 116, 976–980. [Google Scholar] [CrossRef]
  40. Berger, K.; Eskenazi, B.; Kogut, K.; Parra, K.; Lustig, R.H.; Greenspan, L.C.; Holland, N.; Calafat, A.M.; Ye, X.; Harley, K.G. Association of Prenatal Urinary Concentrations of Phthalates and Bisphenol A and Pubertal Timing in Boys and Girls. Environ. Health Perspect. 2018, 126, 97004. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Roth, C.L.; DiVall, S. Consequences of Early Life Programing by Genetic and Environmental Influences: A Synthesis Regarding Pubertal Timing. Endocr. Dev. 2016, 29, 134–152. [Google Scholar] [CrossRef]
  42. Monteilh, C.; Kieszak, S.; Flanders, W.D.; Maisonet, M.; Rubin, C.; Holmes, A.K.; Heron, J.; Golding, J.; McGeehin, M.A.; Marcus, M. Timing of Maturation and Predictors of Tanner Stage Transitions in Boys Enrolled in a Contemporary British Cohort. Paediatr. Perinat. Epidemiol. 2011, 25, 75–87. [Google Scholar] [CrossRef] [PubMed]
  43. Yermachenko, A.; Dvornyk, V. A Meta-Analysis Provides Evidence That Prenatal Smoking Exposure Decreases Age at Menarche. Reprod. Toxicol. Elmsford N 2015, 58, 222–228. [Google Scholar] [CrossRef] [PubMed]
  44. Maisonet, M.; Christensen, K.Y.; Rubin, C.; Holmes, A.; Flanders, W.D.; Heron, J.; Ong, K.K.; Golding, J.; McGeehin, M.A.; Marcus, M. Role of Prenatal Characteristics and Early Growth on Pubertal Attainment of British Girls. Pediatrics 2010, 126, e591–e600. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Verkauskiene, R.; Petraitiene, I.; Albertsson Wikland, K. Puberty in Children Born Small for Gestational Age. Horm. Res. Paediatr. 2013, 80, 69–77. [Google Scholar] [CrossRef] [PubMed]
  46. Saenger, P.; Czernichow, P.; Hughes, I.; Reiter, E.O. Small for Gestational Age: Short Stature and Beyond. Endocr. Rev. 2007, 28, 219–251. [Google Scholar] [CrossRef] [PubMed]
  47. Valūniene, M.; Danylaite, A.; Kryziūte, D.; Ramanauskaite, G.; Lasiene, D.; Lasas, L.; Verkauskiene, R. Postnatal growth in children born small and appropriate for gestational age during the first years of life. Med. Kaunas Lith. 2009, 45, 51–60. [Google Scholar] [CrossRef] [Green Version]
  48. Golub, M.S.; Collman, G.W.; Foster, P.M.D.; Kimmel, C.A.; Rajpert-De Meyts, E.; Reiter, E.O.; Sharpe, R.M.; Skakkebaek, N.E.; Toppari, J. Public Health Implications of Altered Puberty Timing. Pediatrics 2008, 121, S218–S230. [Google Scholar] [CrossRef] [Green Version]
  49. Lee, Y.; Styne, D. Influences on the Onset and Tempo of Puberty in Human Beings and Implications for Adolescent Psychological Development. Horm. Behav. 2013, 64, 250–261. [Google Scholar] [CrossRef] [PubMed]
  50. Elks, C.E.; Ong, K.K.; Scott, R.A.; van der Schouw, Y.T.; Brand, J.S.; Wark, P.A.; Amiano, P.; Balkau, B.; Barricarte, A.; Boeing, H.; et al. Age at Menarche and Type 2 Diabetes Risk: The EPIC-InterAct Study. Diabetes Care 2013, 36, 3526–3534. [Google Scholar] [CrossRef] [Green Version]
  51. Prentice, P.; Viner, R.M. Pubertal Timing and Adult Obesity and Cardiometabolic Risk in Women and Men: A Systematic Review and Meta-Analysis. Int. J. Obes. 2013, 37, 1036–1043. [Google Scholar] [CrossRef] [Green Version]
  52. Day, F.R.; Elks, C.E.; Murray, A.; Ong, K.K.; Perry, J.R.B. Puberty Timing Associated with Diabetes, Cardiovascular Disease and Also Diverse Health Outcomes in Men and Women: The UK Biobank Study. Sci. Rep. 2015, 5, 11208. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Bodicoat, D.H.; Schoemaker, M.J.; Jones, M.E.; McFadden, E.; Griffin, J.; Ashworth, A.; Swerdlow, A.J. Timing of Pubertal Stages and Breast Cancer Risk: The Breakthrough Generations Study. Breast Cancer Res. BCR 2014, 16, R18. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Forman, M.R.; Mangini, L.D.; Thelus-Jean, R.; Hayward, M.D. Life-Course Origins of the Ages at Menarche and Menopause. Adolesc. Health Med. Ther. 2013, 4, 1–21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Waugh, E.J.; Lam, M.-A.; Hawker, G.A.; McGowan, J.; Papaioannou, A.; Cheung, A.M.; Hodsman, A.B.; Leslie, W.D.; Siminoski, K.; Jamal, S.A.; et al. Risk Factors for Low Bone Mass in Healthy 40–60 Year Old Women: A Systematic Review of the Literature. Osteoporos. Int. J. Establ. Result Coop. Eur. Found. Osteoporos. Natl. Osteoporos. Found. USA 2009, 20, 1–21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Charalampopoulos, D.; McLoughlin, A.; Elks, C.E.; Ong, K.K. Age at Menarche and Risks of All-Cause and Cardiovascular Death: A Systematic Review and Meta-Analysis. Am. J. Epidemiol. 2014, 180, 29–40. [Google Scholar] [CrossRef] [Green Version]
  57. Ong, K.K.; Bann, D.; Wills, A.K.; Ward, K.; Adams, J.E.; Hardy, R.; Kuh, D. National Survey of Health and Development Scientific and Data Collection Team Timing of Voice Breaking in Males Associated with Growth and Weight Gain across the Life Course. J. Clin. Endocrinol. Metab. 2012, 97, 2844–2852. [Google Scholar] [CrossRef] [Green Version]
  58. Hardy, R.; Kuh, D.; Whincup, P.H.; Wadsworth, M.E. Age at Puberty and Adult Blood Pressure and Body Size in a British Birth Cohort Study. J. Hypertens. 2006, 24, 59–66. [Google Scholar] [CrossRef] [PubMed]
  59. Stumper, A.; Olino, T.M.; Abramson, L.Y.; Alloy, L.B. Pubertal Timing and Substance Use in Adolescence: An Investigation of Two Cognitive Moderators. J. Abnorm. Child Psychol. 2019, 47, 1509–1520. [Google Scholar] [CrossRef]
  60. Biro, F.M.; Galvez, M.P.; Greenspan, L.C.; Succop, P.A.; Vangeepuram, N.; Pinney, S.M.; Teitelbaum, S.; Windham, G.C.; Kushi, L.H.; Wolff, M.S. Pubertal Assessment Method and Baseline Characteristics in a Mixed Longitudinal Study of Girls. Pediatrics 2010, 126, e583–e590. [Google Scholar] [CrossRef] [Green Version]
  61. Papadimitriou, A.; Pantsiotou, S.; Douros, K.; Papadimitriou, D.T.; Nicolaidou, P.; Fretzayas, A. Timing of Pubertal Onset in Girls: Evidence for Non-Gaussian Distribution. J. Clin. Endocrinol. Metab. 2008, 93, 4422–4425. [Google Scholar] [CrossRef] [Green Version]
  62. Semiz, S.; Kurt, F.; Kurt, D.T.; Zencir, M.; Sevinç, O. Pubertal Development of Turkish Children. J. Pediatr. Endocrinol. Metab. JPEM 2008, 21, 951–961. [Google Scholar] [CrossRef]
  63. Euling, S.Y.; Herman-Giddens, M.E.; Lee, P.A.; Selevan, S.G.; Juul, A.; Sørensen, T.I.A.; Dunkel, L.; Himes, J.H.; Teilmann, G.; Swan, S.H. Examination of US Puberty-Timing Data from 1940 to 1994 for Secular Trends: Panel Findings. Pediatrics 2008, 121, S172–S191. [Google Scholar] [CrossRef] [Green Version]
  64. Herman-Giddens, M.E.; Steffes, J.; Harris, D.; Slora, E.; Hussey, M.; Dowshen, S.A.; Wasserman, R.; Serwint, J.R.; Smitherman, L.; Reiter, E.O. Secondary Sexual Characteristics in Boys: Data from the Pediatric Research in Office Settings Network. Pediatrics 2012, 130, e1058–e1068. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Sørensen, K.; Aksglaede, L.; Petersen, J.H.; Juul, A. Recent Changes in Pubertal Timing in Healthy Danish Boys: Associations with Body Mass Index. J. Clin. Endocrinol. Metab. 2010, 95, 263–270. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Herman-Giddens, M.E. Recent Data on Pubertal Milestones in United States Children: The Secular Trend toward Earlier Development. Int. J. Androl. 2006, 29, 241–246. [Google Scholar] [CrossRef] [PubMed]
  67. Walvoord, E.C. The Timing of Puberty: Is It Changing? Does It Matter? J. Adolesc. Health Off. Publ. Soc. Adolesc. Med. 2010, 47, 433–439. [Google Scholar] [CrossRef] [PubMed]
  68. Slora, E.J.; Bocian, A.B.; Herman-Giddens, M.E.; Harris, D.L.; Pedlow, S.E.; Dowshen, S.A.; Wasserman, R.C. Assessing Inter-Rater Reliability (IRR) of Tanner Staging and Orchidometer Use with Boys: A Study from PROS. J. Pediatr. Endocrinol. Metab. JPEM 2009, 22, 291–299. [Google Scholar] [CrossRef]
  69. Canton, A.P.M.; Seraphim, C.E.; Brito, V.N.; Latronico, A.C. Pioneering Studies on Monogenic Central Precocious Puberty. Arch. Endocrinol. Metab. 2019, 63, 438–444. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Long, D. Precocious Puberty. Pediatr. Rev. 2015, 36, 319–321. [Google Scholar] [CrossRef] [Green Version]
  71. Calcaterra, V.; Klersy, C.; Vinci, F.; Regalbuto, C.; Dobbiani, G.; Montalbano, C.; Pelizzo, G.; Albertini, R.; Larizza, D. Rapid Progressive Central Precocious Puberty: Diagnostic and Predictive Value of Basal Sex Hormone Levels and Pelvic Ultrasound. J. Pediatr. Endocrinol. Metab. 2020, 33, 785–791. [Google Scholar] [CrossRef]
  72. Eckert-Lind, C.; Busch, A.S.; Petersen, J.H.; Biro, F.M.; Butler, G.; Bräuner, E.V.; Juul, A. Worldwide Secular Trends in Age at Pubertal Onset Assessed by Breast Development Among Girls: A Systematic Review and Meta-Analysis. JAMA Pediatr. 2020, 174, e195881. [Google Scholar] [CrossRef] [PubMed]
  73. Berberoğlu, M. Precocious Puberty and Normal Variant Puberty: Definition, Etiology, Diagnosis and Current Management-Review. J. Clin. Res. Pediatr. Endocrinol. 2009, 1, 164–174. [Google Scholar] [CrossRef] [PubMed]
  74. Alotaibi, M.F. Physiology of Puberty in Boys and Girls and Pathological Disorders Affecting Its Onset. J. Adolesc. 2019, 71, 63–71. [Google Scholar] [CrossRef]
  75. Bulcao Macedo, D.; Nahime Brito, V.; Latronico, A.C. New Causes of Central Precocious Puberty: The Role of Genetic Factors. Neuroendocrinology 2014, 100, 1–8. [Google Scholar] [CrossRef] [PubMed]
  76. Macedo, D.B.; Silveira, L.F.G.; Bessa, D.S.; Brito, V.N.; Latronico, A.C. Sexual Precocity-Genetic Bases of Central Precocious Puberty and Autonomous Gonadal Activation. In Endocrine Development; Bourguignon, J.-P., Parent, A.-S., Eds.; S. Karger AG: Basel, Switzerland, 2015; Volume 29, pp. 50–71. ISBN 978-3-318-02788-4. [Google Scholar]
  77. Shin, Y.-L. An Update on the Genetic Causes of Central Precocious Puberty. Ann. Pediatr. Endocrinol. Metab. 2016, 21, 66. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Silveira, L.G.; Noel, S.D.; Silveira-Neto, A.P.; Abreu, A.P.; Brito, V.N.; Santos, M.G.; Bianco, S.D.C.; Kuohung, W.; Xu, S.; Gryngarten, M.; et al. Mutations of the KISS1 Gene in Disorders of Puberty. J. Clin. Endocrinol. Metab. 2010, 95, 2276–2280. [Google Scholar] [CrossRef] [PubMed]
  79. Teles, M.G.; Silveira, L.F.G.; Tusset, C.; Latronico, A.C. New Genetic Factors Implicated in Human GnRH-Dependent Precocious Puberty: The Role of Kisspeptin System. Mol. Cell. Endocrinol. 2011, 346, 84–90. [Google Scholar] [CrossRef]
  80. Abreu, A.P.; Dauber, A.; Macedo, D.B.; Noel, S.D.; Brito, V.N.; Gill, J.C.; Cukier, P.; Thompson, I.R.; Navarro, V.M.; Gagliardi, P.C.; et al. Central Precocious Puberty Caused by Mutations in the Imprinted Gene MKRN3. N. Engl. J. Med. 2013, 368, 2467–2475. [Google Scholar] [CrossRef] [Green Version]
  81. Luo, Y.; Liu, Q.; Lei, X.; Wen, Y.; Yang, Y.-L.; Zhang, R.; Hu, M.-Y. Association of Estrogen Receptor Gene Polymorphisms with Human Precocious Puberty: A Systematic Review and Meta-Analysis. Gynecol. Endocrinol. 2015, 31, 516–521. [Google Scholar] [CrossRef] [PubMed]
  82. Eugster, E.A. Peripheral Precocious Puberty: Causes and Current Management. Horm. Res. Paediatr. 2009, 71, 64–67. [Google Scholar] [CrossRef] [PubMed]
  83. Carel, J.-C.; Léger, J. Clinical Practice. Precocious Puberty. N. Engl. J. Med. 2008, 358, 2366–2377. [Google Scholar] [CrossRef] [PubMed]
  84. Brito, V.N.; Spinola-Castro, A.M.; Kochi, C.; Kopacek, C.; Silva, P.C.A.D.; Guerra-Júnior, G. Central Precocious Puberty: Revisiting the Diagnosis and Therapeutic Management. Arch. Endocrinol. Metab. 2016, 60, 163–172. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Cantas-Orsdemir, S.; Eugster, E.A. Update on Central Precocious Puberty: From Etiologies to Outcomes. Expert Rev. Endocrinol. Metab. 2019, 14, 123–130. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Bangalore Krishna, K.; Fuqua, J.S.; Rogol, A.D.; Klein, K.O.; Popovic, J.; Houk, C.P.; Charmandari, E.; Lee, P.A. Use of Gonadotropin-Releasing Hormone Analogs in Children: Update by an International Consortium. Horm. Res. Paediatr. 2019, 91, 357–372. [Google Scholar] [CrossRef] [PubMed]
  87. Aguirre, R.S.; Eugster, E.A. Central Precocious Puberty: From Genetics to Treatment. Best Pract. Res. Clin. Endocrinol. Metab. 2018, 32, 343–354. [Google Scholar] [CrossRef] [Green Version]
  88. Yeh, S.-N.; Ting, W.-H.; Huang, C.-Y.; Huang, S.-K.; Lee, Y.-C.; Chua, W.-K.; Lin, C.-H.; Cheng, B.-W.; Lee, Y.-J. Diagnostic Evaluation of Central Precocious Puberty in Girls. Pediatr. Neonatol. 2021, 62, 187–194. [Google Scholar] [CrossRef] [PubMed]
  89. Carel, J.-C.; Eugster, E.A.; Rogol, A.; Ghizzoni, L.; Palmert, M.R.; on Behalf of the Members of the ESPE-LWPES GnRH Analogs Consensus Conference Group. Consensus Statement on the Use of Gonadotropin-Releasing Hormone Analogs in Children. Pediatrics 2009, 123, e752–e762. [Google Scholar] [CrossRef] [PubMed]
  90. Mazgaj, M. Sonography of Abdominal Organs in Precocious Puberty in Girls. J. Ultrason. 2013, 13, 418–424. [Google Scholar] [CrossRef]
  91. Stranzinger, E.; Strouse, P.J. Ultrasound of the Pediatric Female Pelvis. Semin. Ultrasound CT MRI 2008, 29, 98–113. [Google Scholar] [CrossRef]
  92. Bertelloni, S.; Mul, D. Treatment of Central Precocious Puberty by GnRH Analogs: Long-Term Outcome in Men. Asian J. Androl. 2008, 10, 525–534. [Google Scholar] [CrossRef]
  93. Bertelloni, S.; Baroncelli, G.I. Current Pharmacotherapy of Central Precocious Puberty by GnRH Analogs: Certainties and Uncertainties. Expert Opin. Pharmacother. 2013, 14, 1627–1639. [Google Scholar] [CrossRef]
  94. Franzini, I.A.; Yamamoto, F.M.; Bolfi, F.; Antonini, S.R.; Nunes-Nogueira, V.S. GnRH Analog Is Ineffective in Increasing Adult Height in Girls with Puberty Onset after 7 Years of Age: A Systematic Review and Meta-Analysis. Eur. J. Endocrinol. 2018, 179, 381–390. [Google Scholar] [CrossRef] [Green Version]
  95. Pienkowski, C.; Tauber, M. Gonadotropin-Releasing Hormone Agonist Treatment in Sexual Precocity. In Endocrine Development; Bourguignon, J.-P., Parent, A.-S., Eds.; S. Karger AG: Basel, Switzerland, 2015; Volume 29, pp. 214–229. ISBN 978-3-318-02788-4. [Google Scholar]
  96. Eugster, E.A. Treatment of Central Precocious Puberty. J. Endocr. Soc. 2019, 3, 965–972. [Google Scholar] [CrossRef]
  97. Li, P.; Li, Y.; Yang, C.-L. Gonadotropin Releasing Hormone Agonist Treatment to Increase Final Stature in Children With Precocious Puberty: A Meta-Analysis. Medicine (Baltimore) 2014, 93, e260. [Google Scholar] [CrossRef] [PubMed]
  98. De Sanctis, V.; Soliman, A.T.; Di Maio, S.; Soliman, N.; Elsedfy, H. Long-Term Effects and Significant Adverse Drug Reactions (ADRs) Associated with the Use of Gonadotropin-Releasing Hormone Analogs (GnRHa) for Central Precocious Puberty: A Brief Review of Literature. Acta Bio Med. Atenei Parm. 2019, 90, 345–359. [Google Scholar] [CrossRef]
  99. Guaraldi, F.; Beccuti, G.; Gori, D.; Ghizzoni, L. Management of Endocrine Disease: Long-Term Outcomes of the Treatment of Central Precocious Puberty. Eur. J. Endocrinol. 2016, 174, R79–R87. [Google Scholar] [CrossRef] [PubMed]
  100. Deardorff, J.; Berry-Millett, R.; Rehkopf, D.; Luecke, E.; Lahiff, M.; Abrams, B. Maternal Pre-Pregnancy BMI, Gestational Weight Gain, and Age at Menarche in Daughters. Matern. Child Health J. 2013, 17, 1391–1398. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  101. Keim, S.A.; Branum, A.M.; Klebanoff, M.A.; Zemel, B.S. Maternal Body Mass Index and Daughters’ Age at Menarche. Epidemiology 2009, 20, 677–681. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  102. Juul, F.; Chang, V.W.; Brar, P.; Parekh, N. Birth Weight, Early Life Weight Gain and Age at Menarche: A Systematic Review of Longitudinal Studies: Birth Weight Early Life Weight Gain and Age at Menarche. Obes. Rev. 2017, 18, 1272–1288. [Google Scholar] [CrossRef]
  103. Lawn, R.B.; Lawlor, D.A.; Fraser, A. Associations Between Maternal Prepregnancy Body Mass Index and Gestational Weight Gain and Daughter’s Age at Menarche. Am. J. Epidemiol. 2018, 187, 677–686. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Diemert, A.; Lezius, S.; Pagenkemper, M.; Hansen, G.; Drozdowska, A.; Hecher, K.; Arck, P.; Zyriax, B.C. Maternal Nutrition, Inadequate Gestational Weight Gain and Birth Weight: Results from a Prospective Birth Cohort. BMC Pregnancy Childbirth 2016, 16, 224. [Google Scholar] [CrossRef] [Green Version]
  105. Voerman, E.; Santos, S.; Patro Golab, B.; Amiano, P.; Ballester, F.; Barros, H.; Bergström, A.; Charles, M.-A.; Chatzi, L.; Chevrier, C.; et al. Maternal Body Mass Index, Gestational Weight Gain, and the Risk of Overweight and Obesity across Childhood: An Individual Participant Data Meta-Analysis. PLoS Med. 2019, 16, e1002744. [Google Scholar] [CrossRef]
  106. Poston, L. Maternal Obesity, Gestational Weight Gain and Diet as Determinants of Offspring Long Term Health. Best Pract. Res. Clin. Endocrinol. Metab. 2012, 26, 627–639. [Google Scholar] [CrossRef] [PubMed]
  107. Huang, A.; Roth, C.L. The Link between Obesity and Puberty: What Is New? Curr. Opin. Pediatr. 2021, 33, 449–457. [Google Scholar] [CrossRef] [PubMed]
  108. Wang, M.; Zhang, Y.; Miller, D.; Rehman, N.O.; Cheng, X.; Yeo, J.-Y.; Joe, B.; Hill, J.W. Microbial Reconstitution Reverses Early Female Puberty Induced by Maternal High-Fat Diet During Lactation. Endocrinology 2020, 161, 41. [Google Scholar] [CrossRef] [PubMed]
  109. Baothman, O.A.; Zamzami, M.A.; Taher, I.; Abubaker, J.; Abu-Farha, M. The Role of Gut Microbiota in the Development of Obesity and Diabetes. Lipids Health Dis. 2016, 15, 108. [Google Scholar] [CrossRef] [Green Version]
  110. Galley, J.D.; Bailey, M.; Kamp Dush, C.; Schoppe-Sullivan, S.; Christian, L.M. Maternal Obesity Is Associated with Alterations in the Gut Microbiome in Toddlers. PLoS ONE 2014, 9, e113026. [Google Scholar] [CrossRef] [PubMed]
  111. Jarrell, J.; Foster, W.G.; Kinniburgh, D.W. Phytoestrogens in Human Pregnancy. Obstet. Gynecol. Int. 2012, 2012, 1–7. [Google Scholar] [CrossRef]
  112. Marks, K.J.; Hartman, T.J.; Taylor, E.V.; Rybak, M.E.; Northstone, K.; Marcus, M. Exposure to Phytoestrogens in Utero and Age at Menarche in a Contemporary British Cohort. Environ. Res. 2017, 155, 287–293. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Kim, S.H.; Park, M.J. Effects of Phytoestrogen on Sexual Development. Korean J. Pediatr. 2012, 55, 265. [Google Scholar] [CrossRef] [PubMed]
  114. Todaka, E.; Sakurai, K.; Fukata, H.; Miyagawa, H.; Uzuki, M.; Omori, M.; Osada, H.; Ikezuki, Y.; Tsutsumi, O.; Iguchi, T.; et al. Fetal Exposure to Phytoestrogens—The Difference in Phytoestrogen Status between Mother and Fetus. Environ. Res. 2005, 99, 195–203. [Google Scholar] [CrossRef]
  115. Foster, W.G.; Chan, S.; Platt, L.; Hughes, C.L. Detection of Phytoestrogens in Samples of Second Trimester Human Amniotic Fluid. Toxicol. Lett. 2002, 129, 199–205. [Google Scholar] [CrossRef]
  116. Takashima-Sasaki, K.; Komiyama, M.; Adachi, T.; Sakurai, K.; Kato, H.; Iguchi, T.; Mori, C. Effect of Exposure to High Isoflavone-Containing Diets on Prenatal and Postnatal Offspring Mice. Biosci. Biotechnol. Biochem. 2006, 70, 2874–2882. [Google Scholar] [CrossRef]
  117. Lee, W.; Lee, S.-H.; Ahn, R.-S.; Park, M.J. Effect of Genistein on the Sexual Maturation in Immature Female Rats. Korean J. Pediatr. 2009, 52, 111. [Google Scholar] [CrossRef]
  118. Kwok, M.K.; Schooling, C.M.; Lam, T.H.; Leung, G.M. Does Breastfeeding Protect against Childhood Overweight? Hong Kong’s “Children of 1997” Birth Cohort. Int. J. Epidemiol. 2010, 39, 297–305. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  119. Karaolis-Danckert, N.; Buyken, A.E.; Sonntag, A.; Kroke, A. Birth and Early Life Influences on the Timing of Puberty Onset: Results from the DONALD (DOrtmund Nutritional and Anthropometric Longitudinally Designed) Study. Am. J. Clin. Nutr. 2009, 90, 1559–1565. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  120. Proos, L.; Gustafsson, J. Is Early Puberty Triggered by Catch-Up Growth Following Undernutrition? Int. J. Environ. Res. Public. Health 2012, 9, 1791–1809. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  121. Aghaee, S.; Deardorff, J.; Greenspan, L.C.; Quesenberry, C.P.; Kushi, L.H.; Kubo, A. Breastfeeding and Timing of Pubertal Onset in Girls: A Multiethnic Population-Based Prospective Cohort Study. BMC Pediatr. 2019, 19, 277. [Google Scholar] [CrossRef]
  122. Belsky, J.; Houts, R.M.; Fearon, R.M.P. Infant Attachment Security and the Timing of Puberty: Testing an Evolutionary Hypothesis. Psychol. Sci. 2010, 21, 1195–1201. [Google Scholar] [CrossRef] [PubMed]
  123. Cheng, G.; Buyken, A.E.; Shi, L.; Karaolis-Danckert, N.; Kroke, A.; Wudy, S.A.; Degen, G.H.; Remer, T. Beyond Overweight: Nutrition as an Important Lifestyle Factor Influencing Timing of Puberty. Nutr. Rev. 2012, 70, 133–152. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  124. World Health Assembly, Global Strategy for Infant and Young Child Feeding: In The Optimal Duration of Exclusive Breastfeeding; World Health Organization: Geneva, Switzerland, 2001.
  125. Eidelman, A.I.; Schanler, R.J.; Johnston, M.; Landers, S.; Noble, L.; Szucs, K.; Viehmann, L. Breastfeeding and the Use of Human Milk. Pediatrics 2012, 129, e827–e841. [Google Scholar] [CrossRef] [Green Version]
  126. Lessen, R.; Kavanagh, K. Position of the Academy of Nutrition and Dietetics: Promoting and Supporting Breastfeeding. J. Acad. Nutr. Diet. 2015, 115, 444–449. [Google Scholar] [CrossRef] [PubMed]
  127. Blell, M.; Pollard, T.M.; Pearce, M.S. Predictors of Age at Menarche in the Newcastle Thousand Families Study. J. Biosoc. Sci. 2008, 40, 563–575. [Google Scholar] [CrossRef] [Green Version]
  128. Kwok, M.K.; Leung, G.M.; Lam, T.H.; Schooling, C.M. Breastfeeding, Childhood Milk Consumption, and Onset of Puberty. Pediatrics 2012, 130, e631–e639. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  129. Hvidt, J.J.; Brix, N.; Ernst, A.; Lunddorf, L.L.H.; Ramlau-Hansen, C.H. Breast Feeding and Timing of Puberty in Boys and Girls: A Nationwide Cohort Study. Paediatr. Perinat. Epidemiol. 2021, 35, 578–589. [Google Scholar] [CrossRef] [PubMed]
  130. Al-Sahab, B.; Adair, L.; Hamadeh, M.J.; Ardern, C.I.; Tamim, H. Impact of Breastfeeding Duration on Age at Menarche. Am. J. Epidemiol. 2011, 173, 971–977. [Google Scholar] [CrossRef] [Green Version]
  131. Lee, H.A.; Kim, Y.J.; Lee, H.; Gwak, H.S.; Hong, Y.S.; Kim, H.S.; Park, E.A.; Cho, S.J.; Ha, E.H.; Park, H. The Preventive Effect of Breast-Feeding for Longer than 6 Months on Early Pubertal Development among Children Aged 7–9 Years in Korea. Public Health Nutr. 2015, 18, 3300–3307. [Google Scholar] [CrossRef] [Green Version]
  132. Morris, D.H.; Jones, M.E.; Schoemaker, M.J.; Ashworth, A.; Swerdlow, A.J. Determinants of Age at Menarche in the UK: Analyses from the Breakthrough Generations Study. Br. J. Cancer 2010, 103, 1760–1764. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Emmett, P.M.; Jones, L.R. Diet, Growth, and Obesity Development throughout Childhood in the Avon Longitudinal Study of Parents and Children. Nutr. Rev. 2015, 73, 175–206. [Google Scholar] [CrossRef] [Green Version]
  134. Weng, S.F.; Redsell, S.A.; Swift, J.A.; Yang, M.; Glazebrook, C.P. Systematic Review and Meta-Analyses of Risk Factors for Childhood Overweight Identifiable during Infancy. Arch. Dis. Child. 2012, 97, 1019–1026. [Google Scholar] [CrossRef] [Green Version]
  135. Koletzko, B.; von Kries, R.; Monasterolo, R.C.; Subías, J.E.; Scaglioni, S.; Giovannini, M.; Beyer, J.; Demmelmair, H.; Anton, B.; Gruszfeld, D.; et al. Can Infant Feeding Choices Modulate Later Obesity Risk? Am. J. Clin. Nutr. 2009, 89, 1502S–1508S. [Google Scholar] [CrossRef] [Green Version]
  136. Mameli, C.; Mazzantini, S.; Zuccotti, G. Nutrition in the First 1000 Days: The Origin of Childhood Obesity. Int. J. Environ. Res. Public. Health 2016, 13, 838. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  137. Yan, J.; Liu, L.; Zhu, Y.; Huang, G.; Wang, P.P. The Association between Breastfeeding and Childhood Obesity: A Meta-Analysis. BMC Public Health 2014, 14, 1267. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  138. Haschke, F.; Binder, C.; Huber-Dangl, M.; Haiden, N. Early-Life Nutrition, Growth Trajectories, and Long-Term Outcome. In Nestlé Nutrition Institute Workshop Series; Donovan, S.M., German, J.B., Lönnerdal, B., Lucas, A., Eds.; S. Karger AG: Basel, Switzerland, 2019; Volume 90, pp. 107–120. ISBN 978-3-318-06340-0. [Google Scholar]
  139. Zheng, M.; Lamb, K.E.; Grimes, C.; Laws, R.; Bolton, K.; Ong, K.K.; Campbell, K. Rapid Weight Gain during Infancy and Subsequent Adiposity: A Systematic Review and Meta-Analysis of Evidence: Infant Rapid Weight Gain and Later Adiposity. Obes. Rev. 2018, 19, 321–332. [Google Scholar] [CrossRef] [PubMed]
  140. Larnkjær, A.; Mølgaard, C.; Michaelsen, K.F. Early Nutrition Impact on the Insulin-like Growth Factor Axis and Later Health Consequences. Curr. Opin. Clin. Nutr. Metab. Care 2012, 15, 285–292. [Google Scholar] [CrossRef] [PubMed]
  141. Locke, R. Preventing Obesity: The Breast Milk-Leptin Connection. Acta Paediatr. 2007, 91, 891–894. [Google Scholar] [CrossRef]
  142. Sloboda, D.M.; Hickey, M.; Hart, R. Reproduction in Females: The Role of the Early Life Environment. Hum. Reprod. Update 2011, 17, 210–227. [Google Scholar] [CrossRef] [Green Version]
  143. Smith-Brown, P.; Morrison, M.; Krause, L.; Davies, P.S.W. Microbiota and Body Composition During the Period of Complementary Feeding. J. Pediatr. Gastroenterol. Nutr. 2019, 69, 726–732. [Google Scholar] [CrossRef] [PubMed]
  144. Gooze, R.A.; Anderson, S.E.; Whitaker, R.C. Prolonged Bottle Use and Obesity at 5.5 Years of Age in US Children. J. Pediatr. 2011, 159, 431–436. [Google Scholar] [CrossRef] [PubMed]
  145. Lyons-Reid, J.; Albert, B.B.; Kenealy, T.; Cutfield, W.S. Birth Size and Rapid Infant Weight Gain—Where Does the Obesity Risk Lie? J. Pediatr. 2021, 230, 238–243. [Google Scholar] [CrossRef] [PubMed]
  146. Marcovecchio, M.L.; Chiarelli, F. Obesity and Growth during Childhood and Puberty. In World Review of Nutrition and Dietetics; Shamir, R., Turck, D., Phillip, M., Eds.; S. Karger AG: Basel, Switzerland, 2013; Volume 106, pp. 135–141. ISBN 978-3-318-02265-0. [Google Scholar]
  147. Wolfe, A.; Divall, S.; Wu, S. The Regulation of Reproductive Neuroendocrine Function by Insulin and Insulin-like Growth Factor-1 (IGF-1). Front. Neuroendocrinol. 2014, 35, 558–572. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  148. Burt Solorzano, C.M.; McCartney, C.R. Obesity and the Pubertal Transition in Girls and Boys. Reproduction 2010, 140, 399–410. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  149. Tharner, A.; Luijk, M.P.C.M.; Raat, H.; IJzendoorn, M.H.; Bakermans-Kranenburg, M.J.; Moll, H.A.; Jaddoe, V.W.V.; Hofman, A.; Verhulst, F.C.; Tiemeier, H. Breastfeeding and Its Relation to Maternal Sensitivity and Infant Attachment. J. Dev. Behav. Pediatr. 2012, 33, 396–404. [Google Scholar] [CrossRef]
  150. Grigoriadis, S.; VonderPorten, E.H.; Mamisashvili, L.; Tomlinson, G.; Dennis, C.-L.; Koren, G.; Steiner, M.; Mousmanis, P.; Cheung, A.; Radford, K.; et al. The Impact of Maternal Depression During Pregnancy on Perinatal Outcomes: A Systematic Review and Meta-Analysis. J. Clin. Psychiatry 2013, 74, e321–e341. [Google Scholar] [CrossRef] [PubMed]
  151. Ellis, B.J.; Garber, J. Psychosocial Antecedents of Variation in Girls’ Pubertal Timing: Maternal Depression, Stepfather Presence, and Marital and Family Stress. Child Dev. 2000, 71, 485–501. [Google Scholar] [CrossRef]
  152. Martin, C.R.; Ling, P.-R.; Blackburn, G.L. Review of Infant Feeding: Key Features of Breast Milk and Infant Formula. Nutrients 2016, 8, E279. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  153. European Childhood Obesity Trial Study Group; Socha, P.; Grote, V.; Gruszfeld, D.; Janas, R.; Demmelmair, H.; Closa-Monasterolo, R.; Subías, J.E.; Scaglioni, S.; Verduci, E.; et al. Milk Protein Intake, the Metabolic-Endocrine Response, and Growth in Infancy: Data from a Randomized Clinical Trial. Am. J. Clin. Nutr. 2011, 94, 1776S–1784S. [Google Scholar] [CrossRef] [Green Version]
  154. European Childhood Obesity Trial Study Group; Escribano, J.; Luque, V.; Ferre, N.; Mendez-Riera, G.; Koletzko, B.; Grote, V.; Demmelmair, H.; Bluck, L.; Wright, A.; et al. Effect of Protein Intake and Weight Gain Velocity on Body Fat Mass at 6 Months of Age: The EU Childhood Obesity Programme. Int. J. Obes. 2012, 36, 548–553. [Google Scholar] [CrossRef] [Green Version]
  155. Brands, B.; Demmelmair, H.; Koletzko, B. Early Nutrition Project. How Growth Due to Infant Nutrition Influences Obesity and Later Disease Risk. Acta Paediatr. 2014, 103, 578–585. [Google Scholar] [CrossRef]
  156. Michaelsen, K.F.; Greer, F.R. Protein Needs Early in Life and Long-Term Health. Am. J. Clin. Nutr. 2014, 99, 718S–722S. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  157. Fanaro, S.; Ballardini, E.; Vigi, V. Different Pre-Term Formulas for Different Pre-Term Infants. Early Hum. Dev. 2010, 86, 27–31. [Google Scholar] [CrossRef] [PubMed]
  158. Koletzko, B.; Chourdakis, M.; Grote, V.; Hellmuth, C.; Prell, C.; Rzehak, P.; Uhl, O.; Weber, M. Regulation of Early Human Growth: Impact on Long-Term Health. Ann. Nutr. Metab. 2014, 65, 101–109. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  159. Ong, K.K. Dietary Energy Intake at the Age of 4 Months Predicts Postnatal Weight Gain and Childhood Body Mass Index. Pediatrics 2006, 117, e503–e508. [Google Scholar] [CrossRef] [Green Version]
  160. Novotny, R.; Daida, Y.G.; Grove, J.S.; Acharya, S.; Vogt, T.M. Formula Feeding in Infancy Is Associated with Adolescent Body Fat and Earlier Menarche. Cell. Mol. Biol. Noisy-Gd. Fr. 2003, 49, 1289–1293. [Google Scholar]
  161. Stewart, C.J.; Ajami, N.J.; O’Brien, J.L.; Hutchinson, D.S.; Smith, D.P.; Wong, M.C.; Ross, M.C.; Lloyd, R.E.; Doddapaneni, H.; Metcalf, G.A.; et al. Temporal Development of the Gut Microbiome in Early Childhood from the TEDDY Study. Nature 2018, 562, 583–588. [Google Scholar] [CrossRef]
  162. Lemaire, M.; Le Huërou-Luron, I.; Blat, S. Effects of Infant Formula Composition on Long-Term Metabolic Health. J. Dev. Orig. Health Dis. 2018, 9, 573–589. [Google Scholar] [CrossRef] [PubMed]
  163. Lee, C.J.; Sears, C.L.; Maruthur, N. Gut Microbiome and Its Role in Obesity and Insulin Resistance. Ann. N. Y. Acad. Sci. 2020, 1461, 37–52. [Google Scholar] [CrossRef]
  164. Edwards, C.A.; Parrett, A.M. Intestinal Flora during the First Months of Life: New Perspectives. Br. J. Nutr. 2002, 88, s11–s18. [Google Scholar] [CrossRef]
  165. Vael, C.; Verhulst, S.L.; Nelen, V.; Goossens, H.; Desager, K.N. Intestinal Microflora and Body Mass Index during the First Three Years of Life: An Observational Study. Gut Pathog. 2011, 3, 8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  166. Bar-El Dadon, S.; Reifen, R. Soy as an Endocrine Disruptor: Cause for Caution? J. Pediatr. Endocrinol. Metab. 2010, 23. [Google Scholar] [CrossRef]
  167. Adgent, M.A.; Daniels, J.L.; Rogan, W.J.; Adair, L.; Edwards, L.J.; Westreich, D.; Maisonet, M.; Marcus, M. Early-Life Soy Exposure and Age at Menarche: Early Soy Exposure and Menarche. Paediatr. Perinat. Epidemiol. 2012, 26, 163–175. [Google Scholar] [CrossRef] [Green Version]
  168. Adgent, M.A.; Umbach, D.M.; Zemel, B.S.; Kelly, A.; Schall, J.I.; Ford, E.G.; James, K.; Darge, K.; Botelho, J.C.; Vesper, H.W.; et al. A Longitudinal Study of Estrogen-Responsive Tissues and Hormone Concentrations in Infants Fed Soy Formula. J. Clin. Endocrinol. Metab. 2018, 103, 1899–1909. [Google Scholar] [CrossRef] [PubMed]
  169. Hiney, J.K.; Srivastava, V.K.; Dees, W.L. Manganese Induces IGF-1 and Cyclooxygenase-2 Gene Expressions in the Basal Hypothalamus during Prepubertal Female Development. Toxicol. Sci. 2011, 121, 389–396. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  170. Cockell, K.A.; Bonacci, G.; Belonje, B. Manganese Content of Soy or Rice Beverages Is High in Comparison to Infant Formulas. J. Am. Coll. Nutr. 2004, 23, 124–130. [Google Scholar] [CrossRef]
  171. Felício, J.S.; de Alcântara, A.L.; Janaú, L.C.; de Moraes, L.V.; de Oliveira, M.C.N.I.; de Lemos, M.N.; de Souza Neto, N.J.K.; Neto, J.F.A.; da Silva, W.M.; de Souza, Í.J.A.; et al. Association of Soy and Exclusive Breastfeeding With Central Precocious Puberty: A Case-Control Study. Front. Endocrinol. 2021, 12, 667029. [Google Scholar] [CrossRef]
  172. Giampietro, P.G.; Bruno, G.; Furcolo, G.; Casati, A.; Brunetti, E.; Spadoni, G.L.; Galli, E. Soy Protein Formulas in Children: No Hormonal Effects in Long-Term Feeding. J. Pediatr. Endocrinol. Metab. 2004, 17. [Google Scholar] [CrossRef]
  173. Sinai, T.; Ben-Avraham, S.; Guelmann-Mizrahi, I.; Goldberg, M.R.; Naugolni, L.; Askapa, G.; Katz, Y.; Rachmiel, M. Consumption of Soy-Based Infant Formula Is Not Associated with Early Onset of Puberty. Eur. J. Nutr. 2019, 58, 681–687. [Google Scholar] [CrossRef]
  174. Huh, S.Y.; Rifas-Shiman, S.L.; Taveras, E.M.; Oken, E.; Gillman, M.W. Timing of Solid Food Introduction and Risk of Obesity in Preschool-Aged Children. Pediatrics 2011, 127, e544–e551. [Google Scholar] [CrossRef] [PubMed]
  175. Thompson, A.L.; Bentley, M.E. The Critical Period of Infant Feeding for the Development of Early Disparities in Obesity. Soc. Sci. Med. 2013, 97, 288–296. [Google Scholar] [CrossRef] [Green Version]
  176. Scaglioni, S.; Agostoni, C.; De Notaris, R.; Radaelli, G.; Radice, N.; Valenti, M.; Giovannini, M.; Riva, E. Early Macronutrient Intake and Overweight at Five Years of Age. Int. J. Obes. 2000, 24, 777–781. [Google Scholar] [CrossRef] [Green Version]
  177. Woo Baidal, J.A.; Locks, L.M.; Cheng, E.R.; Blake-Lamb, T.L.; Perkins, M.E.; Taveras, E.M. Risk Factors for Childhood Obesity in the First 1000 Days. Am. J. Prev. Med. 2016, 50, 761–779. [Google Scholar] [CrossRef] [PubMed]
  178. Schack-Nielsen, L.; Sørensen, T.I.; Mortensen, E.L.; Michaelsen, K.F. Late Introduction of Complementary Feeding, Rather than Duration of Breastfeeding, May Protect against Adult Overweight. Am. J. Clin. Nutr. 2010, 91, 619–627. [Google Scholar] [CrossRef] [Green Version]
  179. Morgen, C.S.; Ängquist, L.; Baker, J.L.; Andersen, A.-M.N.; Sørensen, T.I.A.; Michaelsen, K.F. Breastfeeding and Complementary Feeding in Relation to Body Mass Index and Overweight at Ages 7 and 11 y: A Path Analysis within the Danish National Birth Cohort. Am. J. Clin. Nutr. 2018, 107, 313–322. [Google Scholar] [CrossRef] [PubMed]
  180. Messina, M.; Rogero, M.M.; Fisberg, M.; Waitzberg, D. Health Impact of Childhood and Adolescent Soy Consumption. Nutr. Rev. 2017, 75, 500–515. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  181. Chakraborty, T.; Alicea, E.; Chakraborty, S. Alicea Relationships between Urinary Biomarkers of Phytoestrogens, Phthalates, Phenols, and Pubertal Stages in Girls. Adolesc. Health Med. Ther. 2012, 3, 17. [Google Scholar] [CrossRef] [Green Version]
  182. Nagata, C. Factors to Consider in the Association Between Soy Isoflavone Intake and Breast Cancer Risk. J. Epidemiol. 2010, 20, 83–89. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  183. Wada, K.; Nakamura, K.; Masue, T.; Sahashi, Y.; Ando, K.; Nagata, C. Soy Intake and Urinary Sex Hormone Levels in Preschool Japanese Children. Am. J. Epidemiol. 2011, 173, 998–1003. [Google Scholar] [CrossRef] [Green Version]
  184. Quak, S.H.; Tan, S.P. Use of Soy-Protein Formulas and Soyfood for Feeding Infants and Children in Asia. Am. J. Clin. Nutr. 1998, 68, 1444S–1446S. [Google Scholar] [CrossRef] [Green Version]
  185. Kim, J.; Kim, S.; Huh, K.; Kim, Y.; Joung, H.; Park, M. High Serum Isoflavone Concentrations Are Associated with the Risk of Precocious Puberty in Korean Girls. Clin. Endocrinol. 2011, 75, 831–835. [Google Scholar] [CrossRef]
  186. Yum, T.; Lee, S.; Kim, Y. Association between Precocious Puberty and Some Endocrine Disruptors in Human Plasma. J. Environ. Sci. Health Part A 2013, 48, 912–917. [Google Scholar] [CrossRef]
  187. Segovia-Siapco, G.; Pribis, P.; Oda, K.; Sabaté, J. Soy Isoflavone Consumption and Age at Pubarche in Adolescent Males. Eur. J. Nutr. 2018, 57, 2287–2294. [Google Scholar] [CrossRef] [PubMed]
  188. Wolff, M.S.; Teitelbaum, S.L.; McGovern, K.; Pinney, S.M.; Windham, G.C.; Galvez, M.; Pajak, A.; Rybak, M.; Calafat, A.M.; Kushi, L.H.; et al. Environmental Phenols and Pubertal Development in Girls. Environ. Int. 2015, 84, 174–180. [Google Scholar] [CrossRef] [Green Version]
  189. Cheng, G.; Remer, T.; Prinz-Langenohl, R.; Blaszkewicz, M.; Degen, G.H.; Buyken, A.E. Relation of Isoflavones and Fiber Intake in Childhood to the Timing of Puberty. Am. J. Clin. Nutr. 2010, 92, 556–564. [Google Scholar] [CrossRef] [PubMed]
  190. ESPGHAN Committee on Nutrition; Agostoni, C.; Braegger, C.; Decsi, T.; Kolacek, S.; Koletzko, B.; Mihatsch, W.; Moreno, L.A.; Puntis, J.; Shamir, R.; et al. Role of Dietary Factors and Food Habits in the Development of Childhood Obesity: A Commentary by the ESPGHAN Committee on Nutrition. J. Pediatr. Gastroenterol. Nutr. 2011, 52, 662–669. [Google Scholar] [CrossRef] [Green Version]
  191. Chen, C.; Chen, Y.; Zhang, Y.; Sun, W.; Jiang, Y.; Song, Y.; Zhu, Q.; Mei, H.; Wang, X.; Liu, S.; et al. Association between Dietary Patterns and Precocious Puberty in Children: A Population-Based Study. Int. J. Endocrinol. 2018, 2018, 4528704. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  192. Nguyen, N.T.K.; Fan, H.-Y.; Tsai, M.-C.; Tung, T.-H.; Huynh, Q.T.V.; Huang, S.-Y.; Chen, Y.C. Nutrient Intake through Childhood and Early Menarche Onset in Girls: Systematic Review and Meta-Analysis. Nutrients 2020, 12, E2544. [Google Scholar] [CrossRef] [PubMed]
  193. Aksglaede, L.; Juul, A.; Olsen, L.W.; Sørensen, T.I.A. Age at Puberty and the Emerging Obesity Epidemic. PLoS ONE 2009, 4, e8450. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  194. Boyne, M.S.; Thame, M.; Osmond, C.; Fraser, R.A.; Gabay, L.; Reid, M.; Forrester, T.E. Growth, Body Composition, and the Onset of Puberty: Longitudinal Observations in Afro-Caribbean Children. J. Clin. Endocrinol. Metab. 2010, 95, 3194–3200. [Google Scholar] [CrossRef] [Green Version]
  195. Buyken, A.E.; Karaolis-Danckert, N.; Remer, T. Association of Prepubertal Body Composition in Healthy Girls and Boys with the Timing of Early and Late Pubertal Markers. Am. J. Clin. Nutr. 2009, 89, 221–230. [Google Scholar] [CrossRef] [Green Version]
  196. Mamun, A.A.; Hayatbakhsh, M.R.; O’Callaghan, M.; Williams, G.; Najman, J. Early Overweight and Pubertal Maturation--Pathways of Association with Young Adults’ Overweight: A Longitudinal Study. Int. J. Obes. 2009, 33, 14–20. [Google Scholar] [CrossRef] [Green Version]
  197. Zampieri, T.T.; Bohlen, T.M.; Silveira, M.A.; Lana, L.C.; de Paula, D.G.; Donato, J.; Frazao, R. Postnatal Overnutrition Induces Changes in Synaptic Transmission to Leptin Receptor-Expressing Neurons in the Arcuate Nucleus of Female Mice. Nutrients 2020, 12, 2425. [Google Scholar] [CrossRef] [PubMed]
  198. Terasawa, E.; Kurian, J.R.; Keen, K.L.; Shiel, N.A.; Colman, R.J.; Capuano, S.V. Body Weight Impact on Puberty: Effects of High-Calorie Diet on Puberty Onset in Female Rhesus Monkeys. Endocrinology 2012, 153, 1696–1705. [Google Scholar] [CrossRef] [PubMed]
  199. Reinehr, T.; Roth, C.L. Is There a Causal Relationship between Obesity and Puberty? Lancet Child Adolesc. Health 2019, 3, 44–54. [Google Scholar] [CrossRef]
  200. Rizzoto, G.; Sekhar, D.; Thundathil, J.C.; Chelikani, P.K.; Kastelic, J.P. Calorie Restriction Modulates Reproductive Development and Energy Balance in Pre-Pubertal Male Rats. Nutrients 2019, 11, 1993. [Google Scholar] [CrossRef] [Green Version]
  201. Juul, A.; Magnusdottir, S.; Scheike, T.; Prytz, S.; Skakkebaek, N.E. Age at Voice Break in Danish Boys: Effects of Pre-Pubertal Body Mass Index and Secular Trend. Int. J. Androl. 2007, 30, 537–542. [Google Scholar] [CrossRef] [PubMed]
  202. Sandhu, J.; Ben-Shlomo, Y.; Cole, T.J.; Holly, J.; Davey Smith, G. The Impact of Childhood Body Mass Index on Timing of Puberty, Adult Stature and Obesity: A Follow-up Study Based on Adolescent Anthropometry Recorded at Christ’s Hospital (1936–1964). Int. J. Obes. 2006, 30, 14–22. [Google Scholar] [CrossRef] [Green Version]
  203. Rutters, F.; Nieuwenhuizen, A.G.; Verhoef, S.P.M.; Lemmens, S.G.T.; Vogels, N.; Westerterp-Plantenga, M.S. The Relationship between Leptin, Gonadotropic Hormones, and Body Composition during Puberty in a Dutch Children Cohort. Eur. J. Endocrinol. 2009, 160, 973–978. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  204. Parent, A.-S.; Franssen, D.; Fudvoye, J.; Pinson, A.; Bourguignon, J.-P. Current Changes in Pubertal Timing: Revised Vision in Relation with Environmental Factors Including Endocrine Disruptors. Endocr. Dev. 2016, 29, 174–184. [Google Scholar] [CrossRef] [PubMed]
  205. Reinehr, T.; Kulle, A.; Wolters, B.; Lass, N.; Welzel, M.; Riepe, F.; Holterhus, P.-M. Steroid Hormone Profiles in Prepubertal Obese Children before and after Weight Loss. J. Clin. Endocrinol. Metab. 2013, 98, E1022–E1030. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  206. Bulun, S.E.; Chen, D.; Moy, I.; Brooks, D.C.; Zhao, H. Aromatase, Breast Cancer and Obesity: A Complex Interaction. Trends Endocrinol. Metab. TEM 2012, 23, 83–89. [Google Scholar] [CrossRef] [Green Version]
  207. Qiu, X.; Dao, H.; Wang, M.; Heston, A.; Garcia, K.M.; Sangal, A.; Dowling, A.R.; Faulkner, L.D.; Molitor, S.C.; Elias, C.F.; et al. Insulin and Leptin Signaling Interact in the Mouse Kiss1 Neuron during the Peripubertal Period. PLoS ONE 2015, 10, e0121974. [Google Scholar] [CrossRef] [Green Version]
  208. Rendo-Urteaga, T.; Ferreira de Moraes, A.C.; Torres-Leal, F.L.; Manios, Y.; Gottand, F.; Sjöström, M.; Kafatos, A.; Widhalm, K.; De Henauw, S.; Molnár, D.; et al. Leptin and Adiposity as Mediators on the Association between Early Puberty and Several Biomarkers in European Adolescents: The HELENA Study. J. Pediatr. Endocrinol. Metab. JPEM 2018, 31, 1221–1229. [Google Scholar] [CrossRef] [PubMed]
  209. Kang, M.J. The Adiposity Rebound in the 21st Century Children: Meaning for What? Korean J. Pediatr. 2018, 61, 375–380. [Google Scholar] [CrossRef]
  210. Thankamony, A.; Ong, K.K.; Ahmed, M.L.; Ness, A.R.; Holly, J.M.P.; Dunger, D.B. Higher Levels of IGF-I and Adrenal Androgens at Age 8 Years Are Associated with Earlier Age at Menarche in Girls. J. Clin. Endocrinol. Metab. 2012, 97, E786–E790. [Google Scholar] [CrossRef] [Green Version]
  211. Günther, A.L.B.; Karaolis-Danckert, N.; Kroke, A.; Remer, T.; Buyken, A.E. Dietary Protein Intake throughout Childhood Is Associated with the Timing of Puberty. J. Nutr. 2010, 140, 565–571. [Google Scholar] [CrossRef] [PubMed]
  212. Berkey, C.S.; Gardner, J.D.; Frazier, A.L.; Colditz, G.A. Relation of Childhood Diet and Body Size to Menarche and Adolescent Growth in Girls. Am. J. Epidemiol. 2000, 152, 446–452. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  213. Remer, T.; Shi, L.; Buyken, A.E.; Maser-Gluth, C.; Hartmann, M.F.; Wudy, S.A. Prepubertal Adrenarchal Androgens and Animal Protein Intake Independently and Differentially Influence Pubertal Timing. J. Clin. Endocrinol. Metab. 2010, 95, 3002–3009. [Google Scholar] [CrossRef] [PubMed]
  214. Wiley, A.S. Milk Intake and Total Dairy Consumption: Associations with Early Menarche in NHANES 1999–2004. PLoS ONE 2011, 6, e14685. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  215. Boyd, A.; Golding, J.; Macleod, J.; Lawlor, D.A.; Fraser, A.; Henderson, J.; Molloy, L.; Ness, A.; Ring, S.; Davey Smith, G. Cohort Profile: The ’Children of the 90s’--the Index Offspring of the Avon Longitudinal Study of Parents and Children. Int. J. Epidemiol. 2013, 42, 111–127. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  216. Anderson, B.M.; MacLennan, M.B.; Hillyer, L.M.; Ma, D.W.L. Lifelong Exposure to N-3 PUFA Affects Pubertal Mammary Gland Development. Appl. Physiol. Nutr. Metab. 2014, 39, 699–706. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  217. Rogers, I.S.; Northstone, K.; Dunger, D.B.; Cooper, A.R.; Ness, A.R.; Emmett, P.M. Diet throughout Childhood and Age at Menarche in a Contemporary Cohort of British Girls. Public Health Nutr. 2010, 13, 2052–2063. [Google Scholar] [CrossRef] [Green Version]
  218. Maclure, M.; Travis, L.B.; Willett, W.; MacMahon, B. A Prospective Cohort Study of Nutrient Intake and Age at Menarche. Am. J. Clin. Nutr. 1991, 54, 649–656. [Google Scholar] [CrossRef] [PubMed]
  219. Cheng, T.S.; Day, F.R.; Perry, J.R.B.; Luan, J.; Langenberg, C.; Forouhi, N.G.; Wareham, N.J.; Ong, K.K. Prepubertal Dietary and Plasma Phospholipid Fatty Acids Related to Puberty Timing: Longitudinal Cohort and Mendelian Randomization Analyses. Nutrients 2021, 13, 1868. [Google Scholar] [CrossRef] [PubMed]
  220. Meng, Y.; Zhang, J.; Yuan, C.; Zhang, F.; Fu, Q.; Su, H.; Zhu, X.; Wang, L.; Gao, P.; Shu, G.; et al. Oleic Acid Stimulates HC11 Mammary Epithelial Cells Proliferation and Mammary Gland Development in Peripubertal Mice through Activation of CD36-Ca2+ and PI3K/Akt Signaling Pathway. Oncotarget 2018, 9, 12982–12994. [Google Scholar] [CrossRef]
  221. Valsamakis, G.; Arapaki, A.; Balafoutas, D.; Charmandari, E.; Vlahos, N.F. Diet-Induced Hypothalamic Inflammation, Phoenixin, and Subsequent Precocious Puberty. Nutrients 2021, 13, 3460. [Google Scholar] [CrossRef] [PubMed]
  222. Bo, T.; Wen, J.; Gao, W.; Tang, L.; Liu, M.; Wang, D. Influence of HFD-Induced Precocious Puberty on Neurodevelopment in Mice. Nutr. Metab. 2021, 18, 86. [Google Scholar] [CrossRef]
  223. Dereń, K.; Weghuber, D.; Caroli, M.; Koletzko, B.; Thivel, D.; Frelut, M.-L.; Socha, P.; Grossman, Z.; Hadjipanayis, A.; Wyszyńska, J.; et al. Consumption of Sugar-Sweetened Beverages in Paediatric Age: A Position Paper of the European Academy of Paediatrics and the European Childhood Obesity Group. Ann. Nutr. Metab. 2019, 74, 296–302. [Google Scholar] [CrossRef] [PubMed]
  224. Carwile, J.L.; Willett, W.C.; Spiegelman, D.; Hertzmark, E.; Rich-Edwards, J.; Frazier, A.L.; Michels, K.B. Sugar-Sweetened Beverage Consumption and Age at Menarche in a Prospective Study of US Girls. Hum. Reprod. Oxf. Engl. 2015, 30, 675–683. [Google Scholar] [CrossRef] [Green Version]
  225. Mueller, N.T.; Jacobs, D.R.; MacLehose, R.F.; Demerath, E.W.; Kelly, S.P.; Dreyfus, J.G.; Pereira, M.A. Consumption of Caffeinated and Artificially Sweetened Soft Drinks Is Associated with Risk of Early Menarche. Am. J. Clin. Nutr. 2015, 102, 648–654. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  226. Villamor, E.; Marín, C.; Mora-Plazas, M.; Oliveros, H. Micronutrient Status in Middle Childhood and Age at Menarche: Results from the Bogotá School Children Cohort. Br. J. Nutr. 2017, 118, 1097–1105. [Google Scholar] [CrossRef] [Green Version]
  227. Eliassen, A.H.; Liao, X.; Rosner, B.; Tamimi, R.M.; Tworoger, S.S.; Hankinson, S.E. Plasma Carotenoids and Risk of Breast Cancer over 20 y of Follow-Up. Am. J. Clin. Nutr. 2015, 101, 1197–1205. [Google Scholar] [CrossRef] [Green Version]
  228. Boeing, H. Nutritional Epidemiology: New Perspectives for Understanding the Diet-Disease Relationship? Eur. J. Clin. Nutr. 2013, 67, 424–429. [Google Scholar] [CrossRef] [Green Version]
  229. Grundmann, M.; von Versen-Höynck, F. Vitamin D-Roles in Women’s Reproductive Health? Reprod. Biol. Endocrinol. RBE 2011, 9, 146. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  230. Aeberli, I.; Molinari, L.; Spinas, G.; Lehmann, R.; l’Allemand, D.; Zimmermann, M.B. Dietary Intakes of Fat and Antioxidant Vitamins Are Predictors of Subclinical Inflammation in Overweight Swiss Children. Am. J. Clin. Nutr. 2006, 84, 748–755. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  231. De Ridder, C.M.; Thijssen, J.H.; Van ’t Veer, P.; van Duuren, R.; Bruning, P.F.; Zonderland, M.L.; Erich, W.B. Dietary Habits, Sexual Maturation, and Plasma Hormones in Pubertal Girls: A Longitudinal Study. Am. J. Clin. Nutr. 1991, 54, 805–813. [Google Scholar] [CrossRef] [PubMed]
  232. Tian, G.; Liu, Y.; Xue, H.; Luo, J.; Chen, Y.; Bao, Y.; Duan, R.; Yang, M.; Cheng, G. Dietary Fiber and Pubertal Development among Children and Adolescents—A Cross-sectional Study in Chengdu, Sichuan. Sichuan Da Xue Xue Bao Yi Xue Ban 2016, 47, 244–247. [Google Scholar] [PubMed]
  233. Davis, C.; Bryan, J.; Hodgson, J.; Murphy, K. Definition of the Mediterranean Diet; A Literature Review. Nutrients 2015, 7, 9139–9153. [Google Scholar] [CrossRef]
  234. Calcaterra, V.; Verduci, E.; Ghezzi, M.; Cena, H.; Pascuzzi, M.C.; Regalbuto, C.; Lamberti, R.; Rossi, V.; Manuelli, M.; Bosetti, A.; et al. Pediatric Obesity-Related Asthma: The Role of Nutrition and Nutrients in Prevention and Treatment. Nutrients 2021, 13, 3708. [Google Scholar] [CrossRef]
  235. Fernández-Iglesias, R.; Álvarez-Pereira, S.; Tardón, A.; Fernández-García, B.; Iglesias-Gutiérrez, E. Adherence to the Mediterranean Diet in a School Population in the Principality of Asturias (Spain): Relationship with Physical Activity and Body Weight. Nutrients 2021, 13, 1507. [Google Scholar] [CrossRef]
  236. Szamreta, E.A.; Qin, B.; Rivera-Núñez, Z.; Parekh, N.; Barrett, E.S.; Ferrante, J.; Lin, Y.; Bandera, E.V. Greater Adherence to a Mediterranean-like Diet Is Associated with Later Breast Development and Menarche in Peripubertal Girls. Public Health Nutr. 2020, 23, 1020–1030. [Google Scholar] [CrossRef] [PubMed]
  237. Rudloff, S.; Bührer, C.; Jochum, F.; Kauth, T.; Kersting, M.; Körner, A.; Koletzko, B.; Mihatsch, W.; Prell, C.; Reinehr, T.; et al. Vegetarian Diets in Childhood and Adolescence: Position Paper of the Nutrition Committee, German Society for Paediatric and Adolescent Medicine (DGKJ). Mol. Cell. Pediatr. 2019, 6, 4. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  238. Kissinger, D.G.; Sanchez, A. The Association of Dietary Factors with the Age of Menarche. Nutr. Res. 1987, 7, 471–479. [Google Scholar] [CrossRef]
  239. Schürmann, S.; Kersting, M.; Alexy, U. Vegetarian Diets in Children: A Systematic Review. Eur. J. Nutr. 2017, 56, 1797–1817. [Google Scholar] [CrossRef] [PubMed]
  240. Persky, V.W.; Chatterton, R.T.; Van Horn, L.V.; Grant, M.D.; Langenberg, P.; Marvin, J. Hormone Levels in Vegetarian and Nonvegetarian Teenage Girls: Potential Implications for Breast Cancer Risk. Cancer Res. 1992, 52, 578–583. [Google Scholar]
  241. Sanchez, A.; Kissinger, D.G.; Phillips, R.I. A Hypothesis on the Etiological Role of Diet on Age of Menarche. Med. Hypotheses 1981, 7, 1339–1345. [Google Scholar] [CrossRef]
  242. Ambroszkiewicz, J.; Laskowska-Klita, T.; Klemarczyk, W. Low Levels of Osteocalcin and Leptin in Serum of Vegetarian Prepubertal Children. Med. Wieku Rozwoj. 2003, 7, 587–591. [Google Scholar] [PubMed]
  243. Ambroszkiewicz, J.; Chełchowska, M.; Szamotulska, K.; Rowicka, G.; Klemarczyk, W.; Strucińska, M.; Gajewska, J. Bone Status and Adipokine Levels in Children on Vegetarian and Omnivorous Diets. Clin. Nutr. Edinb. Scotl. 2019, 38, 730–737. [Google Scholar] [CrossRef]
  244. Cheng, G.; Gerlach, S.; Libuda, L.; Kranz, S.; Günther, A.L.B.; Karaolis-Danckert, N.; Kroke, A.; Buyken, A.E. Diet Quality in Childhood Is Prospectively Associated with the Timing of Puberty but Not with Body Composition at Puberty Onset. J. Nutr. 2010, 140, 95–102. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  245. Duan, R.; Chen, Y.; Qiao, T.; Duan, R.; Chen, M.; Zhao, L.; Gong, Y.; Cheng, G. Modern Dietary Pattern Is Prospectively Associated with Earlier Age at Menarche: Data from the CHNS 1997–2015. Nutr. J. 2020, 19, 95. [Google Scholar] [CrossRef]
Figure 1. Timing in puberty: factors responsible for lowering and health sequelae from an earlier puberty (created with BioRender.com (accessed on 9 November 2021)).
Figure 1. Timing in puberty: factors responsible for lowering and health sequelae from an earlier puberty (created with BioRender.com (accessed on 9 November 2021)).
Life 11 01353 g001
Figure 2. Early-life nutrition and the possible effects on precocious puberty (created with BioRender.com (accessed on 9 November 2021)).
Figure 2. Early-life nutrition and the possible effects on precocious puberty (created with BioRender.com (accessed on 9 November 2021)).
Life 11 01353 g002
Figure 3. Childhood nutrition and the possible effects on precocious puberty (created with BioRender.com (accessed on 9 November 2021)).
Figure 3. Childhood nutrition and the possible effects on precocious puberty (created with BioRender.com (accessed on 9 November 2021)).
Life 11 01353 g003
Table 1. Causes of precocious puberty.
Table 1. Causes of precocious puberty.
Central True Precocious PubertyPseudo or Peripheral Precocious PubertyNormal Variant
Idiopathic                                        Gonadal
  • Ovarian tumor/ovarian cyst
  • Leyding cell tumor
  • McCune Albright Syndrome
  • Familiar testotoxicosis (activating mutation of LH receptor)
Premature thelarche
                               Congenital central nervous system (CNS) lesion
  • Hypothalamic hamartoma
  • Suprasellar arachnoid cysts
  • Neurofibromatosis type 1
  • Hydrocephalus
  • Tuberous sclerosis
  • Sturge–Weber Syndrome
                                          Adrenal
  • Adrenal functional adenoma/carcinoma
  • Adrenal hyperplasia
  • Congenital adrenal hyperplasia
Premature adrenarche
                                                    Acquired CNS lesion
  • Tumors (Astrocytoma, optic glioma, craniopharyngioma, ependymoma)
  • Post insults (Perinatal, trauma, infection, trauma, radiotherapy, chemotherapy)
  • Cerebral palsy
                       Gonadotropin-producing tumors
  • CNS chorioepithelioma, dysgerminoma, teratoma
  • Teratoma, choriocarcinoma, hepatoma
GeneticPrimary hypothyroidism Exogenous hormonal exposure
Due to withdrawal of choric sex hormone exposureExogenous hormonal exposure
Table 2. The role of diet in early life and during childhood on timing of puberty.
Table 2. The role of diet in early life and during childhood on timing of puberty.
PeriodDietary SourceMechanism of ActionBMI Dependent and/or Independent ActionEffect on PubertyReferences
Early-life nutritionBreastfeedingOverweight prevention through normal hormonal and microbiome balance and positive psychosocial influenceBothPrecocious puberty prevention[102,107,120,130,131,132,133,140,141,142,143,162]
Formula feedingOverweight development and predisposition to childhood obesity through increased IGF-1 and consequent enhanced sex steroid productionBMI dependentIncreased risk for precocius puberty[136,153,154,158,159]
Soy-based formulasWeak estrogenic effects of soy isoflavonesBMI independentUncertain increased risk for precocius puberty[166,167,171,172,173]
Complementary feedingOverweight development in case of age-inappropriate feeding and high protein consumptionBMI dependentIncreased risk for precocius puberty[174,175,176,178,179]
Soy-based foodsWeak estrogenic effects of soy isoflavonesBMI independentUncertain increased risk for precocius puberty[166,172,180,181,186,187]
Childhood nutritionHigh-energy dietHigher levels of leptin, IGF-1 activation, adrenal androgen overproduction, and increased conversion of androgens to estrogensBMI dependentIncreased risk for precocius puberty[192,199,204,205,206]
Macronutrients
Protein intakeAdiposity rebound before pubertal onset, IGF-1 secretionBothIncreased risk for precocius puberty[2,192,209,210]
Fat intakeDirect effect on steroidogenesis and mammary gland development, indirect effect through induction of low-grade hypothalamic inflammationBMI independentIncreased risk for precocius puberty (PUFAs).
Uncertain increased risk for precocius puberty (MUFAs)
[2,192,217,221]
Carbohydrate intakeRapid increase in insulin concentration in high-glycemic-index diets resulting in increased availability of sex hormones and IGF-1BMI independentUncertain increased risk for precocius puberty[221,224]
Micronutrients
Further studies are needed to identify the possible mechanismsBMI independentUncertain increased risk for precocius puberty[2,192,217,226]
Dietary Pattern
Mediterranean dietReduction in circulating levels of estrogen, follicle-stimulating hormone, and luteinizing hormone. Increased excretion of estrogen. Stimulation of hepatic synthesis of SHBG, which reduces the biological availability of sex hormonesBMI independentPrecocious puberty prevention[236]
Vegetarian dietLower leptin levelsBMI dependentUncertain increased risk for later puberty[238,239,240,242]
New dietary patternsA combination of the above mechanisms of high energy, fat, glycemic, and protein intake associated with unbalanced micronutrient suppliesBothIncreased risk for precocius puberty[191,244,245]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Calcaterra, V.; Verduci, E.; Magenes, V.C.; Pascuzzi, M.C.; Rossi, V.; Sangiorgio, A.; Bosetti, A.; Zuccotti, G.; Mameli, C. The Role of Pediatric Nutrition as a Modifiable Risk Factor for Precocious Puberty. Life 2021, 11, 1353. https://doi.org/10.3390/life11121353

AMA Style

Calcaterra V, Verduci E, Magenes VC, Pascuzzi MC, Rossi V, Sangiorgio A, Bosetti A, Zuccotti G, Mameli C. The Role of Pediatric Nutrition as a Modifiable Risk Factor for Precocious Puberty. Life. 2021; 11(12):1353. https://doi.org/10.3390/life11121353

Chicago/Turabian Style

Calcaterra, Valeria, Elvira Verduci, Vittoria Carlotta Magenes, Martina Chiara Pascuzzi, Virginia Rossi, Arianna Sangiorgio, Alessandra Bosetti, Gianvincenzo Zuccotti, and Chiara Mameli. 2021. "The Role of Pediatric Nutrition as a Modifiable Risk Factor for Precocious Puberty" Life 11, no. 12: 1353. https://doi.org/10.3390/life11121353

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop