Next Article in Journal
Using the Rise and Fall of Oxidative Stress and Inflammation Post-Exercise to Evaluate the Effect of Methylsulfonylmethane Supplementation on Immune Response mRNA
Previous Article in Journal
Effects of Nutritional Education and Diet on Obesity and Asthma Progression in Children and Adolescents
Previous Article in Special Issue
Pilot Study of Growth Factors in Colostrum: How Delivery Mode and Maternal Health Impact IGF-1, EGF, NGF, and TGF-β Levels in Polish Women
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Mediterranean Diet Outcomes Across the Mother–Milk–Infant Triad: A Narrative Review

by
Rabia Baglayici
1,2,
Jadwiga Hamulka
1 and
Monika A. Zielinska-Pukos
1,*
1
Department of Human Nutrition, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), 02-776 Warsaw, Poland
2
Department of Nutrition and Dietetics, Institute of Health Sciences, Marmara University, Istanbul 34865, Turkey
*
Author to whom correspondence should be addressed.
Nutrients 2025, 17(11), 1760; https://doi.org/10.3390/nu17111760
Submission received: 10 April 2025 / Revised: 19 May 2025 / Accepted: 21 May 2025 / Published: 23 May 2025
(This article belongs to the Special Issue Breastmilk for Healthy Development)

Abstract

:
Nutrition plays a crucial role during pregnancy and lactation, influencing maternal and infant health, as well as human milk (HM) composition. The Mediterranean diet (MED) is recognized worldwide as a well-established healthy dietary pattern. This narrative review aims to integrate and summarize observational and interventional studies investigating the association between the MED and outcomes across the mother–milk–infant triad. A literature search was conducted in the Cochrane, Google Scholar, and PubMed databases, and 22 studies that met the eligibility criteria were included into review. The included studies were categorized into maternal outcomes (n = 13), HM composition outcomes (n = 9), and infant outcomes (n = 3). This narrative review suggests that adherence to the MED may be associated with maternal psychological health and well-being, postpartum weight loss, glucose metabolism, and the fatty acid profile of HM. Moreover, the included studies exhibited notable methodological differences that hindered direct comparisons and limited the generalizability of the findings. Future research should adopt an integrated and standardized methodology for assessing MED adherence, HM collection, and infant outcomes, considering the mother–human milk–infant triad.

1. Introduction

Breastfeeding (BF) and human milk (HM) feeding are normative standards in early nutrition, providing tremendous health benefits for infants and mothers across their lifespans [1]. Moreover, recent papers emphasized the adaptive role of HM in various internal (e.g., health status, prematurity, chronobiology) and external factors (e.g., diet and environmental and infectious exposures) that the mother–infant dyad faces [2,3,4]. Hence, the term “mother–milk–infant triad”, as well as the systemic approach to analyzing HM as a complex biological system, was proposed. This approach allows for a better understanding of factors shaping HM composition and how it interconnects with developing infants [2,4].
Maternal diet is a widely studied modifiable factor influencing HM composition. HM production is a priority for the maternal body, and nutritional deficiencies mostly lead to the depletion of maternal stores [2,4,5]. Nevertheless, some of milk’s nutrients were proved to exhibit sensitivity to changes in maternal dietary intake, including fatty acids (FAs) profile, some water-soluble vitamins, and carotenoids [2,5,6]. However, results for other nutrients and bioactives are relatively scarce and inconclusive due to methodological differences and challenges, among others [2,5,7]. Recently, overall dietary patterns, instead of focusing only on single nutrients or foods, were recommended in nutrition research, as they reflect diet complexity and interactions between nutrients [7,8]. Various dietary patterns were linked with adverse (e.g., Western diet) or beneficial (e.g., Mediterranean or Dietary Approaches to Stop Hypertension diet (DASH)) health outcomes due to their unique dietary profile [9].
The Mediterranean diet (MED) is based on low-processed foods such as vegetables, fruits, legumes, herbs, nuts, olive oil, seafood, and fish, as well as whole grains, along with limited consumption of full-fat dairy products, meat (especially red and processed), and alcohol [9]. A substantial body of evidence has linked MED with a lower risk of noncommunicable diseases, such as overweightness and obesity [10], cardiovascular disease [11], metabolic syndrome (MetS) [12], and several types of cancers [13]. In addition, it is also beneficial for cognitive performance, mental health, and well-being across the lifespan [14,15,16,17]. Moreover, MED has been revealed to protect against the development of several adverse pregnancy outcomes, including gestational diabetes, alteration of intrauterine growth, and premature births [18]. Furthermore, it was suggested that maternal MED during pregnancy may support further children’s health [19], yet the current evidence is inconclusive. To date, various studies have investigated the role of MED during the postpartum period, mostly in the context of HM composition [20].
Hence, this review aimed to integrate and summarize observational and interventional studies investigating the association between the MED and outcomes across the mother–milk–infant triad while identifying potential gaps and directions for further studies. We chose a narrative approach over a systematic review due to the expected substantial heterogeneity in study designs, populations, and outcomes. In addition, our goal was not to draw definitive conclusions but to provide an overview of the current state of knowledge, highlight the effects of the MED on the mother–milk–infant triad, and indicate areas where further studies are needed.

2. Materials and Methods

This narrative review was conducted using PubMed, Google Scholar, and the Cochrane Library databases from 10 January 2025 to 31 January 2025, including interventional and observational studies evaluating the Mediterranean diet’s outcomes among mother–human milk–infant triads published in English over the past 20 years. Detailed inclusion and exclusion criteria are shown in Table 1. To identify relevant studies, the following combinations of keywords were used: (“mediterranean diet” OR “mediterranean diet adherence” OR “mediterranean dietary pattern” OR “mediterranean index” OR “mediterranean score” OR “med diet”) AND (“lactation” OR “lactating” OR “breastfeeding” OR “postpartum”) AND (“breast milk” OR “breastfeeding” OR “human milk” OR “colostrum” OR “mature milk” OR “donor milk” OR “transitional milk”) AND (“maternal” OR “maternal outcomes” OR “health”) AND (“infant” OR “neonatal”).
The search and eligibility process is presented in Figure 1. The titles and abstracts of the studies were screened by a researcher (R.B.) to determine their eligibility for inclusion. A second researcher (M.A.Z.-P.) independently verified the selection.
Due to high heterogeneity in eligible studies, we employed a narrative approach to synthesize key findings. The outcomes of interest were maternal (psychological, well-being, anthropometry, and metabolic outcomes), lactation and HM (breastfeeding and HM composition), and infant-related (growth and metabolic outcomes) parameters; we relied on information in tables, figures, and the interpretation of the results of each included paper to perform a cross-study synthesis. Then, relevant data were extracted, including (1) study characteristics: authors, year of publication, study design, sample size, country of origin, and sample characteristics; (2) exposure evaluation and measures: dietary assessment or intervention details, MED diet assessment (index and its components), and timing of dietary assessment; and (3) outcome measures: measures, methods, timing of assessment, and covariates included in statistical analyses. Extracted information was organized thematically into maternal, HM, and infant outcomes. We did not evaluate the quality, as this review aimed to integrate and summarize observational and interventional studies and identify potential directions for future studies, not to synthesize systematically and draw clear conclusions on the current state of knowledge.

3. Results

As a result, 22 studies were included in the narrative review. The included studies were categorized based on maternal (n = 13 studies), HM (n = 9 studies), and infant outcomes (n = 3 studies). Among them, only one study analyzed outcomes in all elements of the mother–milk–infant triad [21], one in the mother–milk dyad [22], and one in the milk–infant dyad [23] (Figure 2).

3.1. Mediterranean Diet and Maternal Outcomes

3.1.1. Psychological Health and Well-Being

Studies evaluating the associations between the MED and maternal psychological and well-being outcomes (n = 3, [24,25,26]) are presented in Table 2. Two studies found a negative association between high adherence to the MED and postpartum depression [25,26]. A study conducted in Spain reported no significant effect of the MED on stress levels or postpartum depression but found an improvement in overall positive attitude, which may be limited due to a lack of adjustment of statistical analysis (Table S1) [24]. There were differences in the timing of dietary assessment among the studies. Gila-Diaz et al. [24] assessed adherence at 28 days postpartum, Flor-Alemany et al. [25] at 16 weeks of gestation, and Papadopoulou et al. [26] between 3 and 6 months postpartum. Additionally, all studies adapted various indices for MED assessment [27,28,29], varying in dietary components used for its calculation (Table S1). These variations in exposure assessment may have contributed to the inconsistent findings regarding the association between the MED and postpartum depression by affecting the degree to which participants adhered to the diet over time [24,25,26].

3.1.2. Anthropometry and Body Composition

Table 3 summarizes studies evaluating the association between adherence to the MED and maternal anthropometric outcomes (n = 8 [21,30,31,32,33,34,35,36]).
Three studies reported a negative association between adherence to the MED and maternal body weight [21,30,34]. Additionally, one study found a negative relationship between adherence to the MED and body weight change [36]. However, two studies did not identify any significant association [31,33]. Additionally, one study found an inverse relationship between postpartum weight retention (PPWR) and two different types of MED indices (alternate MED (aMED) and Lebanese Mediterranean diet (LMD)) at 2 and 6 months after childbirth [32].
The potential association between MED adherence or intervention and maternal body mass index (BMI) was assessed in six studies [21,30,31,33,34,36]. Three studies concluded that adherence to the MED was associated with a reduction in BMI levels [21,30,34]. In contrast, three studies did not observe any significant association [31,33,36].
Two studies reported a reduction in body fat percentage among mothers with high adherence to the MED [30,33]. Furthermore, another study found a negative association between adherence to the MED and fat mass (FM) [35]. In contrast, two studies did not identify any significant relationship [34,36]. Regarding the fat mass index (FMI), two studies reported a negative association [21,33]. Lean body mass was positively associated with adherence to the MED in one study [35], whereas another study found no significant relationship with the lean body mass index [21]. In the only study investigating FM distribution, mothers with high adherence to the MED exhibited a reduction in the android FM and the android/gynoid FM ratio [35].
There were a total of four studies on waist circumference (WC) [30,31,34,36]. Two studies reported a reduction in WC among mothers adhering to the MED [30,34], whereas the other two found no significant association [31,36]. In two studies, a significant reduction was observed in mothers with a WC exceeding 89.5 cm, a risk factor of MetS [34,36]. Hip circumference was found to decrease in only one study [30]. Additionally, an investigation into the waist-to-hip ratio revealed a reduction in this parameter among mothers adhering to the MED [30].
Differences in anthropometric outcomes may be attributed to variations in assessment tools and timing in body composition evaluation, as well as differences in study design, whether cross-sectional or interventional. For example, included studies varied in indices used for MED assessment, including food groups used for its calculation or geographical adaptations [28,37,38,39,40,41] (Table S1). Three of the included studies were based on the same MED index (MEDAS [42]) [31,34,36] but differed in study group characteristics and timing of outcome assessment, which may have contributed to discrepancies in findings.

3.1.3. Metabolic Outcome

Table 4 presents studies evaluating associations between the MED and maternal metabolic outcomes. A total of seven studies examined the effects of maternal adherence to the MED or MED interventions on biomarkers in maternal blood serum or plasma, including FAs, lipid profile, glucose, insulin, inflammatory biomarkers, leptin, blood pressure, and components of MetS [21,30,31,34,36,43,44].
Two studies reported that maternal adherence to the MED was associated with reduced cholesterol levels [21,34]. Moreover, the anthropometric outcomes of these studies supported these findings. In the studies conducted by Melero et al. and Sims et al., reductions in weight, BMI, and WC levels were observed [21,34], whereas no significant changes were reported in the studies by de la Torre et al. and Martín-O’Connor et al. [31,36].
Regarding lipid profile, two studies identified a negative association between high-density lipoprotein cholesterol (HDL-C) levels and adherence to the MED [21,34], while two others found no relationship [31,36]. Furthermore, three studies reported that high adherence to the MED was linked to lower low-density lipoprotein cholesterol (LDL-C) levels [21,34,36], whereas one study found no association [31]. In parallel with the reduction in LDL-C levels, the anthropometric findings of these studies also indicated decreases in weight and WC [21,34]. However, in the study where no association with LDL-C was found, no significant changes in weight or WC were observed [31]. Additionally, when examining the relationship between maternal adherence to the MED and triglyceride (TG), two studies found no association. These findings are consistent with the lack of changes in the anthropometric outcomes of these studies [31,36]. Melero et al. reported a reduction in apolipoprotein B levels at 3 months and 3 years postpartum [34].
One study identified a positive association between maternal adherence to the MED and leptin levels [44], while another study found no significant relationship [21].
In the study conducted by Stendell-Hollis et al., high adherence to the MED was associated with increased levels of linoleic acid (LA), alpha-linolenic acid (ALA), ω-3, and the ω-3/ω-6 ratio, while the ω-6/ω-3 ratio decreased [30]. These findings are consistent with the reductions in body fat percentage observed in the study by Stendell-Hollis et al. [30].
Che et al. demonstrated that high maternal adherence to the MED was positively associated with triacylglycerols (C54:8, C54:9, C56:9, C58:9, C58:11, C56:10, C60:12, C58:8, C56:8, C56:7, C58:10, C58:7, and C52:7), phosphatidylcholines (C40:10, C40:9, and C40:6), PC plasmalogen (C36:5 PC plasmalogen-A), phosphatidylserine (C34:0), phosphatidylethanolamine (C40:6), methionine sulfoxide (an amino acid), and vitamin A levels, while it was negatively associated with threonine (an amino acid), tropane, and adenosine (nucleotides) levels [43].
There were four studies examining glucose and insulin biomarkers [21,31,34,36]. De la Torre et al. found no association between maternal adherence to the MED and glucose, insulin, homeostatic model assessment for insulin resistance (HOMA-IR), or hemoglobin A1c (HbA1c; glycated hemoglobin) levels [31]. Similarly, Sims et al. reported no significant relationship with insulin levels [21]. In the study by Melero et al. [34], no changes in glucose levels were observed three years postpartum; however, at three months postpartum, a negative association was found with glucose, insulin, and HOMA-IR levels. Additionally, a negative association with insulin and HOMA-IR levels was also observed three years postpartum. In this study, improvements in insulin resistance were consistent with reductions in weight, BMI, and waist circumference [34]. Furthermore, a study conducted in Spain reported a reduction in impaired fasting glucose (FG) levels [36].
Three studies examined inflammatory biomarkers [21,30,34]. In the study by Melero et al., C-reactive protein (CRP) levels were found to decrease both at 3 months and 3 years postpartum. This finding was consistent with the reductions in weight, BMI, and WC observed in the same study [34]. Another study reported no association with interleukin-6 (IL) levels [30]. Similarly, Sims et al. found no significant relationship between maternal adherence to the MED and CRP, IL-6, IL-8, or tumor necrosis factor α (TNF-α) levels [21].
Three studies examined blood pressure levels [31,34,36]. Two of these studies found no association between maternal adherence to the MED and systolic blood pressure. These findings are consistent with the lack of significant BMI and WC changes observed in the same studies [31,36]. Regarding diastolic blood pressure, Melero et al. reported a negative association [34], whereas another study found no significant relationship [36]. A similar pattern was observed for MetS [34,36]. The observed reductions in weight, BMI, and WC, alongside the decrease in blood pressure in the study by Melero et al., support the beneficial effects of the MED on cardiometabolic health [34].
Studies varied in the indices used for MED assessment, including its food groups used for their calculation [37,39,42,45,46,47] (Table S1). Despite the three studies that were based on MEDAS [31,34,36], they introduced index adaptations and varied in assessment timing, which introduced differences in results.

3.2. Mediterranean Diet and Human Milk Outcomes

The effects of maternal adherence to the MED on HM outcomes are presented in Table 5. The majority of studies (with one exception [48]) analyzed HM samples from the first six months of lactation. In the study conducted by Antasouras et al., mothers with high adherence to the MED in the last trimester of pregnancy had a higher rate of exclusively breastfeeding their infants for at least four months [49].
A total of two studies investigated the macronutrient composition of HM [21,23]. A study conducted in 2023 found that mothers with high adherence to the MED had increased protein content and decreased TG levels in their milk [23]. In contrast, the study by Sims et al. found no association between adherence to the MED and HM energy value or macronutrient composition [21].
Three studies investigated the lipid profile of HM [20,50,51]. Krešić et al. reported that mothers with high adherence to the MED had increased HM levels of docosahexaenoic acid (DHA), LA, palmitic acid, and oleic acid (OA). At the same time, no changes were observed in arachidonic acid (AA) levels [50]. Codini et al. found a positive association between adherence to the MED and the levels of saturated fatty acids (SFA) and polyunsaturated fatty acids (PUFA) in HM [51]. In another study conducted in Italy, a decrease was observed in SFA, palmitic acid, stearic acid, AA, the ω-6/ω-3 ratio, and the LA/ALA ratio. Conversely, an increase was noted in monounsaturated fatty acids (MUFA), OA, erucic acid, ω-3 PUFAs, ALA, eicosapentaenoic acid (EPA), DHA, docosapentaenoic acid, and the DHA/AA ratio [20].
Two studies investigated the micronutrient composition of HM [44,48]. Sánchez et al. examined selenium levels in HM and found that they were higher in mothers adhering to the MED. However, no significant changes were observed in sodium, potassium, calcium, the calcium-to-phosphorus ratio, magnesium, or iron levels [48]. Additionally, a study conducted in Poland reported a positive association between adherence to the MED and calcium and zinc levels in HM, while no relationship was found for iron and phosphorus levels [44]. These studies both evaluated HM minerals using the ICP-MS method but differed in the timing of HM collection and assessment of adherence to the MED [44,48]. In the study by Zielinska-Pukos et al., HM was collected in the first month of lactation [44], whereas Sánchez et al. carried out the study over a broader postpartum period (0.8–59 months postpartum) [48], which may contribute to variation in HM composition [44,48].
Five studies investigated the relationship between maternal adherence to the MED and the bioactive compound content of HM [21,22,23,51,52]. Three studies reported a positive association between adherence to the MED and antioxidant levels. The timing of the MED assessment was unclear in all three studies conducted [23,51,52]. In their study, Codini et al. found that the antioxidant potential in the HM of mothers who followed the MED was not affected by preterm or term birth [51]. Additionally, total phenolic compound levels were found to be increased. Moreover, no differences in total phenolic acid or antioxidant activity were observed across the three stages of HM (colostrum, transitional milk, and mature milk). In contrast, significant differences in antioxidant properties were found between HM and infant formulas [52]. Two studies conducted by Sims et al. and Zielinska-Pukos et al. focused on obese, lactating mothers and reported a negative association between HM leptin levels and adherence to the MED [21,22]. Furthermore, the study by Sims et al. reported a negative association between the MED and IL-8 and TNF-α levels in HM, while no significant relationship was observed for human milk oligosaccharides, insulin, IL-6, or CRP levels [21].
Similarly to previous outcomes, studies varied in analyzing HM and lactation outcomes and varied in methods of MED indices analysis [37,39,42,46,47,53] (Table S1). Studies varied in food group building indices, while two studies did not calculate a specific MED score; as stated, the whole group exhibited a moderate-to-high adherence to MED [50,51] (Table S1).

3.3. Mediterranean Diet and Infant Outcomes

The effects of maternal adherence to the MED on infant outcomes are presented in Table 6. In total, three studies examined this relationship [21,23]. The study by Karbasi et al. investigated urinary antioxidant levels in infants and found a positive association [23]. Another study examined infant anthropometry and body composition but found no significant relationship between maternal adherence to the MED and weight-for-age, length-for-age, weight-for-length z-scores, fat-free mass index (FFMI), or fat mass index (FMI levels [21]. Similarly, Grabowski et al. found no association with weight-for-age and length-for-age parameters; however, flank skinfold thickness was negatively associated [54]. The indices used to assess adherence to the MED varied across studies, including differences in the food groups considered in their calculation (Table S1). In all three studies, MED scores were calculated based on different dietary indices [37,39,46]. Additionally, there were notable differences in study design, sample size, and the timing of outcome assessments.

4. Discussion

In this narrative review, we summarized studies examining the potential effects of the MED during pregnancy or lactation on maternal, infant, and HM outcomes. Existing studies most often examined maternal outcomes during the postpartum period. They suggested that the MED was linked to maternal psychological health and well-being, LDL, and HOMA-IR and potentially to maternal anthropometry, TGs, cholesterol, HDL-C, and blood pressure. HM and lactation outcomes were the second most often investigated area. Up-to-date studies linked MED to the HM lipid profile, antioxidant, and phenolic components, whereas associations with inflammatory biomarkers, macronutrients, and micronutrients in HM remain less clear. To date, a limited number of studies have investigated infant outcomes, mostly anthropometric development, which remain inconclusive. It should be emphasized that studies were characterized by high heterogeneity and mostly focused on one angle of the mother–milk–infant triad, while MED outcomes across the whole triad were analyzed only once.

4.1. Maternal Mental Health and Well-Being

Studies identified in this narrative review suggested that MED may be associated with maternal postpartum mental health [24,25,26], which is in line with studies conducted among non-lactating individuals. It was shown that nutrition plays a crucial role in cognitive processes and mental health. Most studies focused on the relationship between depression and specific nutrients or foods [55,56]. Depressive symptoms were associated with low levels of B vitamins, including folate, riboflavin, pyridoxine, and cobalamin, potentially through mechanisms involving homocysteine levels or monoamine synthesis in the brain [57]. Moreover, vitamin D plays a significant role in brain function and development in women experiencing postpartum depression. However, the extent to which vitamin D is involved in increasing estradiol levels, reducing NF-kB activation in macrophages, and/or decreasing the production of pro-inflammatory cytokines remains unclear. Overall, there is evidence suggesting an association between 25[OH]D levels and postpartum depression [58]. Similarly, ω-3 PUFAs, with ALA, EPA, and DHA as key components, play significant roles in brain function and activity and have been suggested to contribute to the development of depression [59]. The MED provides these essential nutrients and has been shown to reduce depressive symptoms and improve remission rates in the general population [60], as well as enhance well-being in women of reproductive age [61]. Likewise, it may have a protective effect against postpartum depression [62]. In a study conducted by Chatzi et al., adherence to a diet rich in vegetables, fruits, legumes, nuts, dairy products, fish, and olive oil during pregnancy was found to have a protective effect against postpartum depression [63]. Additionally, the consumption of fish and/or ω-3 PUFAs was associated with a reduced risk of postpartum depression [64,65]. Dietary patterns during pregnancy that include nuts, fruits, and seafood were also associated with a lower prevalence of postpartum depression [66]. Furthermore, the antioxidant and anti-inflammatory properties of fruits, vegetables, and nuts, along with their content of B vitamins essential for the synthesis of tryptophan and 5-hydroxytryptamine, were found to reduce the risk of postpartum depression [65,66]. Moreover, the effectiveness of the MED in depression was attributed to its high polyphenol content, with various polyphenols demonstrating a reduction in depressive symptoms and providing a beneficial therapeutic effect for depression [67].

4.2. Maternal Anthropometric Outcomes

Pregnancy is associated with physiological weight gain and adipose tissue accumulation to satisfy elevated energy requirements during lactation [68]. It has been reported that 75–80% of pregnancy weight gain is lost within 2–6 weeks postpartum, but it could be affected by various factors, including pre-pregnancy BMI and BF practice [30,69]. Excessive gestational weight gain (GWG) and PPWR are potential risk factors for obesity-related disorders, including insulin resistance, MetS, and cardiovascular diseases [32,70,71]. Hence, it is essential to identify potential modifiable factors protecting against excessive GWG and PPWR. Dietary intervention could play a crucial role in weight and body composition management [72]. In addition, pro-healthy dietary patterns, such as the MED, emerge as a potential strategy to maintain a healthy weight and mitigate obesity-related health risks. In particular, the traditional Mediterranean dietary pattern, which is rich in vegetables, olive oil, and nuts, is characterized by low energy density, low glycemic load, high water and fiber contents, and an emphasis on plant-based foods. These attributes may enhance satiety, prevent excessive food intake, and contribute to healthy weight management during pregnancy, preventing excessive weight gain [73,74,75]. Moreover, higher adherence to the MED before pregnancy has been associated with lower BMI increases during gestation, while adherence during pregnancy has been shown to support appropriate weight gain [75]. Interestingly, a study conducted on South African women found that adherence to a diet rich in whole grains, legumes, and vegetables was associated with a lower risk of excessive GWG, particularly in women with a normal weight [76]. A meta-analysis including four randomized controlled trials and 2277 participants confirmed that the MED is associated with a significant reduction in gestational weight gain (standard mean difference −0.15, 95% CI –0.26 to –0.05, p = 0.004) [77]. Moreover, a study combining diet and physical activity has been associated with significantly lower GWG [78]. According to studies conducted worldwide, the mean PPWR measured at 6 months was reported as 2.1 kg in Taiwan, 3.12 kg in Malaysia, and 3.3 kg in the United States [79,80,81]. Lower dietary quality during pregnancy has been shown to be associated with a higher likelihood of a significant PPWR of 5 kg or more [82]. Further research is needed to clarify the role of dietary interventions in PPWR.
MED can also affect different measures of adiposity, such as WC and body composition. In the general population, a higher MED score has been associated with lower WC gain [83,84]. In the SUN cohort, participants with a higher baseline MED score exhibited a lower WC after a 6-year follow-up period [85]. PPARγ is a gene involved in adipocyte differentiation, lipid storage, and regulation of body composition. Furthermore, the MED has been suggested to reduce WC by counteracting the adverse effects observed in high-cardiovascular-risk carriers of the PPARγ 12Ala allele related to fat accumulation [86]. It has been suggested that the high levels of PUFAs and MUFAs in the MED may activate the PPARγ protein and potentially modify the effect of the Pro12Ala substitution on receptor activity [87].

4.3. Maternal Metabolic Health

During pregnancy, maternal metabolism undergoes changes that promote energy storage and nutrient transfer into the fetus. This is related to increased visceral fat, insulin resistance, and lipid levels. BF helps restore metabolic balance and reduce the risk of further metabolic diseases [88]. Maintaining an adequate and balanced diet may contribute to resetting maternal metabolism during lactation. In this context, the MED may play a significant role in metabolic regulation, including glucose metabolism [18]. The beneficial effects of the MED on glucose metabolism may be attributed to the high intake of dietary polyphenols present in its key components, such as extra-virgin olive oil and nuts. These effects may improve metabolic processes by reducing insulin resistance, stimulating insulin secretion, activating insulin receptors, regulating glucose release, and enhancing glucose uptake in insulin-sensitive tissues [89]. The MED has been shown to reduce high blood pressure in at-risk populations, and women consuming diets with low MED adherence were found to have lower FG levels at delivery [90].
Furthermore, the MED’s rich content of unsaturated fats, fiber, and antioxidants has been suggested to play a significant role in modulating inflammation [30]. Greater adherence to the MED has been significantly associated with lower circulating concentrations of inflammatory markers [91]. A significant negative correlation has also been observed between high adherence to the MED during pregnancy and CRP levels [92]. However, Stendell-Hollis et al. found no association between the MED and inflammatory markers, other than TNF-α, in lactating women [30]. These findings were further supported by the study conducted by Sims et al. [21].

4.4. Human Milk Outcomes

A mother’s diet influences HM composition through various metabolic pathways [93]. Specifically, the maternal intake of FAs and fat- and water-soluble vitamins (including vitamins A, C, B6, and B12) can directly reflect their concentrations in HM [20,93,94]. The MED is characterized by an anti-inflammatory FAs profile caused by a low intake of saturated ω-6 and trans FAs and a moderate intake of plant-based and marine-derived ω-3 PUFAs [50]. It has been shown to significantly affect the FA profile and antioxidant factors in HM [95]. A study conducted in Italy found a significant correlation between maternal dietary SFA and MUFA levels with those in transitional milk, while PUFA showed the highest correlation in mature milk [96]. Similarly, a study conducted on Mediterranean women showed that both total fat intake and PUFA intake were strongly associated with DHA levels in HM during the first month of lactation [97]. These results are believed to stem from the consumption of olive oil, which is rich in MUFAs, especially OA, as a primary fat source in the MED [20].
Maternal overweightness and obesity can negatively affect HM composition [22,98]. The most evident alterations are the pro-inflammatory FAs profile and elevated levels of adipokines, such as leptin [98,99]. Two recent studies have shown that the MED can mitigate elevated milk leptin in mothers with an excessive body mass [21,22]. In an intervention study by Sims et al., this could be related to observed weight loss and decreased FMI. In addition, they observed a decrease in HM pro-inflammatory chemokines [21].
HM plays a crucial role in the protection against oxidative stress diseases during infancy due to its infancy-unique antioxidant properties [100]. Some of the HM antioxidants, such as antioxidant vitamins (e.g., C and E), selenium, polyphenols, and carotenoids, are derived from the maternal diet [101,102]. The MED has been shown to be efficient in improving the total antioxidant capacity of healthy, non-lactating adults [23,103] due to the high abundance of vegetables, fruits, nuts, and whole grains. Studies included in this review have shown that during lactation, adherence to the MED results in an increase in HM selenium [48] and the total antioxidant capacity of HM [23].

4.5. Infant Outcomes

During exclusive BF, infants rely solely on HM’s nutrients and bioactivity [93,103]. Moreover, even when solids are consumed, HM satisfies a significant part of infant and toddler nutritional requirements [104]. Hence, all factors influencing HM composition can indirectly affect infant growth and development [93,105]. Existing studies have primarily focused on the MED effect on birth and early childhood outcomes [18,106,107]. Unfortunately, few studies have examined maternal MED on outcomes in breastfed infants [21,23,54]. Two studies analyzed and failed to confirm its effect on infant anthropometry [21,54]. On the other hand, various studies have shown them to have a positive influence on intrauterine growth and fetal development [18,105,108]. High adherence to the MED has been associated with a reduced risk of preterm birth and small-for-gestational-age infants, as well as with lower rates of childhood obesity, leptin levels, and blood pressure [106,107]. Furthermore, it was shown that the MED during pregnancy benefits further cognitive and behavioral outcomes [105,109,110], but no study investigated its effect in the mother–human milk–infant triad. Nevertheless, it is highly plausible that the maternal MED will positively shape infant neurocognitive development, as it increases HM PUFAs [20,50,51]. PUFAs, especially DHA and AA, are essential for fetal and neonatal growth and neurodevelopment [50,111], and it was shown that their milk levels are related to infant motor development [112]. One of the studies included in this review has shown that a maternal MED boosts infant urine antioxidant potential through the improvement of HM antioxidant capacity [23]. Nevertheless, the long-term effects of these changes in HM composition on infant health and development remain largely unknown, underscoring the need for further longitudinal research.

4.6. Methodological Aspects and Recommendations for Further Studies

Studies included in this review were characterized by high heterogeneity, which can explain the ambiguity of the results. Firstly, studies had various designs, including cross-sectional [20,22,23,24,26,33,44,48,49,50,51,52], prospective [32,43,54], and intervention [21,25,30,31,34,35,36] studies that affected the quality of the results. Secondly, studies varied in the exposure assessment. Some studies analyzed MED adherence based on food frequency questionnaires and various a priori indices (sometimes modified or geographically specific), while others utilized a MEDAS questionnaire [31,34,36,48], or imported methodological details were omitted (Table S1). All of the dietary indices used for the assessment of MED adherence included vegetables and legumes. One study did not specify the source of animal proteins, nor did it evaluate fish and/or seafood intake [32]. In addition, studies varied in exposure period, as some of the studies analyzed the effect of the MED in pregnancy [25,31,32,34,35,36,49] and others in the postpartum period [20,21,22,23,24,26,30,43,44,50,54]. Similarly, the type of intervention varied from educational dietary intervention [31,34,36], through the additional portion of extra-virgin olive oil and nuts [30,31,34,36], to two ready-to-eat meals provided by research staff [21]. In addition, the included studies encompassed diverse populations varying in geographical, cultural, socioeconomic, and health contexts (e.g., term vs. preterm, normal weight vs. overweight/obese), which may influence dietary and BF practices, as well as health outcomes. These differences make it harder to compare, synthesize, and generalize results, and it can lead to different effect estimates [8]. Thirdly, the assessment of outcomes significantly varied, including the timing of assessment (from a few hours to 3 years postpartum) to research methodology (e.g., in maternal anthropometric analysis or HM collection). It should be highlighted that studies analyzing HM composition should adopt a rigorous sample collection protocol to minimize variations in its composition that may bias study results [113].
Ideally, further studies should include dietary intervention across the pregnancy and postpartum periods to evaluate windows of sensitivity and the effect of maternal MED on offspring outcomes. If intervention design is impossible, long-term observational studies with various time points of exposure assessment are recommended. Finally, studies focusing on outcomes in the postpartum period among lactating women should also include HM and breastfed infants with the investigation of long-term effects. Taking into account the multifractional determinants of offspring development, studies should carefully determine potential covariates and consider the mother–infant–human milk triad. Moreover, considering the complexity of lactation, HM composition, and dietary and growth determinants, further studies should carefully target study populations in terms of maternal and infant factors, including ethnicity, socio-economic status, health status, and BF practices. Additionally, it is imperative to incorporate underrepresented groups, as the effects observed can significantly differ based on health (e.g., maternal overweight/obesity, preterm/term delivery), ethnicity, and other critical variables (for example, socioeconomic status and education level) that may affect exposures and outcomes. Understanding the effect of the diet across the mother–milk–infant triad is crucial, as diet-induced changes in HM composition can indirectly influence infant outcomes. Taken together, employing this approach should allow for the obtaining of stronger clinical evidence on the role of MED across the mother–milk–infant triad and help to elucidate the mechanisms underlying these effects.

5. Conclusions

This narrative review summarizes studies investigating MED outcomes across the mother–infant–human milk triad. Adherence to the MED during pregnancy and lactation has been shown to be associated with improved maternal psychological health and well-being, weight loss, glucose metabolism, and HM FA profile. Some studies have suggested that MED may be associated with maternal metabolic health and HM components other than FAs, as well as offspring development, but these findings remain scarce and inconsistent and rarely address the mother–milk–infant triad holistically. There is a significant gap in literature examining long-term infant outcomes, such as growth, neurodevelopment, and health status, in relation to maternal MED adherence during lactation. Another major limitation of existing literature is the considerable methodological heterogeneity, including differences in study design, exposure and outcome assessments, and population characteristics. This limits the comparability and generalizability of findings and precludes establishing solid conclusions regarding the role of the MED in shaping outcomes across the maternal–HM–infant triad.
Therefore, there is a clear need for future research employing standardized, integrated approaches that consider the mother–milk–infant triad as a whole, utilize validated dietary assessment tools, and adopt rigorous protocols for HM collection and infant outcome evaluation. Given the importance of infant health and development, future studies should prioritize the rigorous and comprehensive evaluation of infant outcomes alongside maternal and milk parameters. A holistic, triad-based research strategy will be critical for generating robust clinical evidence on the role of the MED in maternal and child health and for elucidating the mechanisms through which maternal nutrition influences HM composition and, ultimately, infant outcomes.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu17111760/s1, Table S1: Mediterranean diet components used in the studies and variables controlled in statistical analyses.

Author Contributions

R.B. and M.A.Z.-P. conceptualized the paper and conducted the literature search. R.B. and M.A.Z.-P. were responsible for data extraction. R.B. and M.A.Z.-P. wrote the original paper. R.B. and M.A.Z.-P. were responsible for visualization. J.H. and M.A.Z.-P. reviewed and edited the paper. J.H. was responsible for revising the manuscript critically for important intellectual content and obtained the funding. The manuscript was revised by all co-authors. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
AAarachidonic acid
ALAalpha-linolenic acid
aMEDalternate Mediterranean diet score
AP-Qadherence to the healthy food pyramid
BIAbioelectrical impedance analysis
BFbreastfeeding
BLOOMbreastmilk and the link to overweightness/obesity and maternal diet
BMIbody mass index
Ccholesterol
Cacalcium
CRPC-reactive protein
ddays
DASHdietary approaches to stop hypertension
dBPdiastolic blood pressure
DHAdocosahexaenoic acid
DPAdocosapentaenoic acid
DPPH2,2-Diphenyl-1-picrylhydrazyl
DXAdual-energy X-ray absorptiometry
EBFexclusive breastfeeding
ELISAenzyme-linked immunosorbent assay
EPAeicosapentaenoic acid
EPDSEdinburgh Postpartum Depression Scale
EPIC-ffqEuropean Prospective Investigation into Cancer and Nutrition Food Frequency Questionnaire
EVOOextra-virgin olive oil
FAfatty acid
Feiron
FFMIfat-free mass index
FFQfood frequency questionnaire
FGfasting glucose
FMfat mass
FMIfat mass index
FRAPferric reducing antioxidant power
GCgas chromatography
GDMgestational diabetes
GWGgestational weight gain
Hb1Achemoglobin 1Ac (glycated hemoglobin)
Hbdgestational weeks
HDL-Chigh-density lipoprotein cholesterol
HEIHealthy Eating Index
HMhuman milk
HMOshuman milk oligosaccharides
HOMA-IRhomeostatic model assessment for insulin resistance
HPLChigh-performance liquid chromatography
ICP-MSinductively coupled plasma mass spectrometry
ILinterleukin
IMIItalian Mediterranean Index
Kpotassium
LAlinoleic acid
LC-MSliquid chromatography–mass spectrometry
LDL-Clow-density lipoprotein
LMDLebanese Mediterranean diet
LOTLife Orientation Test
mmonths
MEDMediterranean diet
MEDASMediterranean Diet adherence screener
Mgmagnesium
MetSmetabolic syndrome
MISCmother and infant study cohort
MUFAmonounsaturated fatty acids
Nasodium
NWnormal weight
OAoleic acid
OW/OBoverweightness/obesity
Pphosphor
PPWRpostpartum weight retention
PSSPerceived Stress Scale
PUFApolyunsaturated fatty acids
RCTrandomized controlled trial
sBPsystolic blood pressure
Seselenium
SFAsaturated fatty acids
TBARSthiobarbituric acid reactive substances
TGtriglyceride
TNF-αtumor necrosis factor α
UPLC-MS/MSultra-performance liquid chromatography–tandem mass spectrometry
VAvitamin A
WCwaist circumference
WHOWorld Health Organization
WHtRwaist-to-hip ratio
yyears
Znzinc

References

  1. Meek, J.Y.; Noble, L. Technical Report: Breastfeeding and the Use of Human Milk. Pediatrics 2022, 150, e2022057989. [Google Scholar] [CrossRef] [PubMed]
  2. Christian, P.; Smith, E.R.; Lee, S.E.; Vargas, A.J.; Bremer, A.A.; Raiten, D.J. The Need to Study Human Milk as a Biological System. Am. J. Clin. Nutr. 2021, 113, 1063–1072. [Google Scholar] [CrossRef]
  3. Bode, L.; Raman, A.S.; Murch, S.H.; Rollins, N.C.; Gordon, J.I. Understanding the Mother-Breastmilk-Infant “Triad”. Science 2020, 367, 1078–1080. [Google Scholar] [CrossRef]
  4. Verduci, E.; Giannì, M.L.; Vizzari, G.; Vizzuso, S.; Cerasani, J.; Mosca, F.; Zuccotti, G.V. The Triad Mother-Breast Milk-Infant as Predictor of Future Health: A Narrative Review. Nutrients 2021, 13, 486. [Google Scholar] [CrossRef]
  5. Petersohn, I.; Hellinga, A.H.; van Lee, L.; Keukens, N.; Bont, L.; Hettinga, K.A.; Feskens, E.J.M.; Brouwer-Brolsma, E.M. Maternal Diet and Human Milk Composition: An Updated Systematic Review. Front. Nutr. 2023, 10, 1320560. [Google Scholar] [CrossRef]
  6. Zaidi, Y.; Stroh, R.; Moran, N.E. Systematic Review of Carotenoid Concentrations in Human Milk and Infant Blood. Nutr. Rev. 2022, 80, 2029–2050. [Google Scholar] [CrossRef]
  7. Rahmannia, S.; Arena, G.; Murray, K.; Sakinah, A.D.; Thariqi, Y.A.; Diana, A.; Hickling, S. A Scoping Review of Methodologies Exploring Diet and Health Outcomes in Lactating Women: What Has Been Done and Where to Next? Nutr. Rev. 2025, nuae228. [Google Scholar] [CrossRef]
  8. Wingrove, K.; Lawrence, M.A.; McNaughton, S.A. A Systematic Review of the Methods Used to Assess and Report Dietary Patterns. Front. Nutr. 2022, 9, 892351. [Google Scholar] [CrossRef]
  9. Cena, H.; Calder, P.C. Defining a Healthy Diet: Evidence for the Role of Contemporary Dietary Patterns in Health and Disease. Nutrients 2020, 12, 334. [Google Scholar] [CrossRef]
  10. Lotfi, K.; Saneei, P.; Hajhashemy, Z.; Esmaillzadeh, A. Adherence to the Mediterranean Diet, Five-Year Weight Change, and Risk of Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies. Adv. Nutr. 2022, 13, 152–166. [Google Scholar] [CrossRef]
  11. Hareer, L.W.; Lau, Y.Y.; Mole, F.; Reidlinger, D.P.; O’Neill, H.M.; Mayr, H.L.; Greenwood, H.; Albarqouni, L. The Effectiveness of the Mediterranean Diet for Primary and Secondary Prevention of Cardiovascular Disease: An Umbrella Review. Nutr. Diet. 2024, 82, 8–41. [Google Scholar] [CrossRef] [PubMed]
  12. Papadaki, A.; Nolen-Doerr, E.; Mantzoros, C.S. The Effect of the Mediterranean Diet on Metabolic Health: A Systematic Review and Meta-Analysis of Controlled Trials in Adults. Nutrients 2020, 12, 3342. [Google Scholar] [CrossRef] [PubMed]
  13. Morze, J.; Danielewicz, A.; Przybyłowicz, K.; Zeng, H.; Hoffmann, G.; Schwingshackl, L. An Updated Systematic Review and Meta-Analysis on Adherence to Mediterranean Diet and Risk of Cancer. Eur. J. Nutr. 2021, 60, 1561–1586. [Google Scholar] [CrossRef]
  14. Altun, A.; Brown, H.; Szoeke, C.; Goodwill, A.M. The Mediterranean Dietary Pattern and Depression Risk: A Systematic Review. Neurol. Psychiatry Brain Res. 2019, 33, 1–10. [Google Scholar] [CrossRef]
  15. Fu, J.; Tan, L.J.; Lee, J.E.; Shin, S. Association between the Mediterranean Diet and Cognitive Health among Healthy Adults: A Systematic Review and Meta-Analysis. Front. Nutr. 2022, 9, 946361. [Google Scholar] [CrossRef]
  16. Romero-Robles, M.A.; Ccami-Bernal, F.; Ortiz-Benique, Z.N.; Pinto-Ruiz, D.F.; Benites-Zapata, V.A.; Casas Patiño, D. Adherence to Mediterranean Diet Associated with Health-Related Quality of Life in Children and Adolescents: A Systematic Review. BMC Nutr. 2022, 8, 57. [Google Scholar] [CrossRef]
  17. Godos, J.; Guglielmetti, M.; Ferraris, C.; Frias-Toral, E.; Domínguez Azpíroz, I.; Lipari, V.; Di Mauro, A.; Furnari, F.; Castellano, S.; Galvano, F.; et al. Mediterranean Diet and Quality of Life in Adults: A Systematic Review. Nutrients 2025, 17, 577. [Google Scholar] [CrossRef]
  18. Zaragoza-Martí, A.; Ruiz-Ródenas, N.; Herranz-Chofre, I.; Sánchez-SanSegundo, M.; de la Cruz Serrano Delgado, V.; Hurtado-Sánchez, J.A. Adherence to the Mediterranean Diet in Pregnancy and Its Benefits on Maternal-Fetal Health: A Systematic Review of the Literature. Front. Nutr. 2022, 9, 813942. [Google Scholar] [CrossRef]
  19. Biagi, C.; Di Nunzio, M.; Bordoni, A.; Gori, D.; Lanari, M. Effect of Adherence to Mediterranean Diet during Pregnancy on Children’s Health: A Systematic Review. Nutrients 2019, 11, 997. [Google Scholar] [CrossRef]
  20. Di Maso, M.; Bravi, F.; Ferraroni, M.; Agostoni, C.; Eussen, S.R.B.M.; Decsi, T.; Quitadamo, P.A.; Tonetto, P.; Peila, C.; Profeti, C.; et al. Adherence to Mediterranean Diet of Breastfeeding Mothers and Fatty Acids Composition of Their Human Milk: Results From the Italian MEDIDIET Study. Front. Nutr. 2022, 9, 891376. [Google Scholar] [CrossRef]
  21. Sims, C.R.; Saben, J.L.; Martinez, A.; Sobik, S.R.; Crimmins, M.R.; Bulmanski, J.E.; Turner, D.; Furst, A.; Jansen, L.T.; Bode, L.; et al. A Mediterranean Diet Plan in Lactating Women with Obesity Reduces Maternal Energy Intake and Modulates Human Milk Composition—A Feasibility Study. Front. Nutr. 2024, 11, 1303822. [Google Scholar] [CrossRef] [PubMed]
  22. Zielinska-Pukos, M.A.; Kopiasz, Ł.; Hamulka, J. The Effect of Maternal Overweight/Obesity on Serum and Breastmilk Leptin, and Its Associations with Body Composition, Cardiometabolic Health Indices, and Maternal Diet: The BLOOM Study. Metabolites 2024, 14, 221. [Google Scholar] [CrossRef]
  23. Karbasi, S.; Mohamadian, M.; Naseri, M.; Khorasanchi, Z.; Zarban, A.; Bahrami, A.; Ferns, G.A. A Mediterranean Diet Is Associated with Improved Total Antioxidant Content of Human Breast Milk and Infant Urine. Nutr. J. 2023, 22, 11. [Google Scholar] [CrossRef]
  24. Gila-Díaz, A.; Carrillo, G.H.; Arribas, S.M.; Ramiro-Cortijo, D. Healthy Habits and Emotional Balance in Women during the Postpartum Period: Differences between Term and Preterm Delivery. Children 2021, 8, 937. [Google Scholar] [CrossRef]
  25. Flor-Alemany, M.; Migueles, J.H.; Alemany-Arrebola, I.; Aparicio, V.A.; Baena-García, L. Exercise, Mediterranean Diet Adherence or Both during Pregnancy to Prevent Postpartum Depression—GESTAFIT Trial Secondary Analyses. Int. J. Environ. Res. Public Health 2022, 19, 14450. [Google Scholar] [CrossRef]
  26. Papadopoulou, S.K.; Pavlidou, E.; Dakanalis, A.; Antasouras, G.; Vorvolakos, T.; Mentzelou, M.; Serdari, A.; Pandi, A.L.; Spanoudaki, M.; Alexatou, O.; et al. Postpartum Depression Is Associated with Maternal Sociodemographic and Anthropometric Characteristics, Perinatal Outcomes, Breastfeeding Practices, and Mediterranean Diet Adherence. Nutrients 2023, 15, 3853. [Google Scholar] [CrossRef]
  27. Martínez-González, M.A.; Fernández-Jarne, E.; Serrano-Martínez, M.; Marti, A.; Martinez, J.A.; Martín-Moreno, J.M. Mediterranean Diet and Reduction in the Risk of a First Acute Myocardial Infarction: An Operational Healthy Dietary Score. Eur. J. Nutr. 2002, 41, 153–160. [Google Scholar] [CrossRef]
  28. Panagiotakos, D.B.; Pitsavos, C.; Stefanadis, C. Dietary Patterns: A Mediterranean Diet Score and Its Relation to Clinical and Biological Markers of Cardiovascular Disease Risk. Nutr. Metab. Cardiovasc. Dis. 2006, 16, 559–568. [Google Scholar] [CrossRef]
  29. Gila-Díaz, A.; Arribas, S.M.; López de Pablo, Á.L.; López-Giménez, M.R.; Phuthong, S.; Ramiro-Cortijo, D. Development and Validation of a Questionnaire to Assess Adherence to the Healthy Food Pyramid in Spanish Adults. Nutrients 2020, 12, 1656. [Google Scholar] [CrossRef]
  30. Stendell-Hollis, N.R.; Thompson, P.A.; West, J.L.; Wertheim, B.C.; Thomson, C.A. A Comparison of Mediterranean-Style and Mypyramid Diets on Weight Loss and Inflammatory Biomarkers in Postpartum Breastfeeding Women. J. Women’s Health 2013, 22, 48–57. [Google Scholar] [CrossRef]
  31. de La Torre, N.G.; Assaf-Balut, C.; Varas, I.J.; Del Valle, L.; Durán, A.; Fuentes, M.; Del Prado, N.; Bordiú, E.; Valerio, J.J.; Herraiz, M.A.; et al. Effectiveness of Following Mediterranean Diet Recommendations in the Real World in the Incidence of Gestational Diabetes Mellitus (GDM) and Adverse Maternal-Foetal Outcomes: A Prospective, Universal, Interventional Study with a Single Group. the St Carlos Study. Nutrients 2019, 11, 1210. [Google Scholar] [CrossRef] [PubMed]
  32. Radwan, H.; Hashim, M.; Hasan, H.; Abbas, N.; Obaid, R.R.S.; Al Ghazal, H.; Naja, F. Adherence to the Mediterranean Diet during Pregnancy Is Associated with Lower Odds of Excessive Gestational Weight Gain and Postpartum Weight Retention: Results of the Mother-Infant Study Cohort. Br. J. Nutr. 2022, 128, 1401–1412. [Google Scholar] [CrossRef] [PubMed]
  33. Tabasso, C.; Mallardi, D.; Corti, Y.; Perrone, M.; Piemontese, P.; Liotto, N.; Menis, C.; Roggero, P.; Mosca, F. Adherence to the Mediterranean Diet and Body Composition of Breastfeeding Mothers: The Potential Role of Unsaturated Fatty Acids. J. Nutr. Sci. 2021, 10, e63. [Google Scholar] [CrossRef]
  34. Melero, V.; Arnoriaga, M.; Barabash, A.; Valerio, J.; del Valle, L.; Martin O’Connor, R.; de Miguel, M.P.; Diaz, J.A.; Familiar, C.; Moraga, I.; et al. An Early Mediterranean-Based Nutritional Intervention during Pregnancy Reduces Metabolic Syndrome and Glucose Dysregulation Rates at 3 Years Postpartum. Nutrients 2023, 15, 3252. [Google Scholar] [CrossRef]
  35. Flor-Alemany, M.; Acosta-Manzano, P.; Migueles, J.H.; Henriksson, P.; Löf, M.; Aparicio, V.A. Impact of Exercise Intervention Combined with Optimal Mediterranean Diet Adherence during Pregnancy on Postpartum Body Composition: A Quasi-Experimental Study—The GESTAFIT Project. Nutrients 2023, 15, 4413. [Google Scholar] [CrossRef]
  36. Martín-O’Connor, R.; Ramos-Levi, A.; Melero, V.; Arnoriaga-Rodriguez, M.; Barabash, A.; Valerio, J.; del Valle, L.; de Miguel, P.; Diaz, A.; Familiar, C.; et al. Early Mediterranean-Based Nutritional Intervention Reduces the Rate of Gestational Diabetes in Overweight and Obese Pregnant Women: A Post-Hoc Analysis of the San Carlos Gestational Prevention Study. Nutrients 2024, 16, 2206. [Google Scholar] [CrossRef]
  37. Trichopoulou, A.; Costacou, T.; Bamia, C.; Trichopoulos, D. Adherence to a Mediterranean Diet and Survival in a Greek Population. N. Engl. J. Med. 2003, 348, 2599–2608. [Google Scholar] [CrossRef]
  38. De Koning, L.; Anand, S.S. Vascular Viewpoint. Vasc. Med. 2004, 9, 145–146. [Google Scholar] [CrossRef]
  39. Goulet, J.; Lamarche, B.; Nadeau, G.; Lemieux, S. Effect of a Nutritional Intervention Promoting the Mediterranean Food Pattern on Plasma Lipids, Lipoproteins and Body Weight in Healthy French-Canadian Women. Atherosclerosis 2003, 170, 115–124. [Google Scholar] [CrossRef]
  40. Naja, F.; Hwalla, N.; Itani, L.; Baalbaki, S.; Sibai, A.; Nasreddine, L. A Novel Mediterranean Diet Index from Lebanon: Comparison with Europe. Eur. J. Nutr. 2015, 54, 1229–1243. [Google Scholar] [CrossRef]
  41. Agnoli, C.; Krogh, V.; Grioni, S.; Sieri, S.; Palli, D.; Masala, G.; Sacerdote, C.; Vineis, P.; Tumino, R.; Frasca, G.; et al. A Priori-Defined Dietary Patterns Are Associated with Reduced Risk of Stroke in a Large Italian Cohort. J. Nutr. 2011, 141, 1552–1558. [Google Scholar] [CrossRef] [PubMed]
  42. Schröder, H.; Fitó, M.; Estruch, R.; Martínez-González, M.A.; Corella, D.; Salas-Salvadó, J.; Lamuela-Raventós, R.; Ros, E.; Salaverría, I.; Fiol, M.; et al. A Short Screener Is Valid for Assessing Mediterranean Diet Adherence among Older Spanish Men and Women. J. Nutr. 2011, 141, 1140–1145. [Google Scholar] [CrossRef]
  43. Che, X.; Hong, X.; Gross, S.; Pearson, C.; Bartell, T.; Wang, X.; Wang, G. Maternal Mediterranean-Style Diet Adherence during Pregnancy and Metabolomic Signature in Postpartum Plasma: Findings from the Boston Birth Cohort. J. Nutr. 2024, 154, 846–855. [Google Scholar] [CrossRef]
  44. Zielinska-Pukos, M.A.; Michalska-Kacymirow, M.; Kurek, E.; Bulska, E.; Grabowicz-Chądrzyńska, I.; Wesołowska, A.; Hamulka, J. Breastmilk Mineral Composition among Well-Educated Mothers from Central Poland—Associations with Maternal Dietary Intake, Dietary Patterns and Infant Psychomotor Development. J. Trace Elem. Med. Biol. 2024, 83, 127393. [Google Scholar] [CrossRef]
  45. Rhee, D.K.; Ji, Y.; Hong, X.; Pearson, C.; Wang, X.; Caulfield, L.E. Mediterranean-Style Diet and Birth Outcomes in an Urban, Multiethnic, and Low-Income Us Population. Nutrients 2021, 13, 1188. [Google Scholar] [CrossRef]
  46. Fung, T.T.; Rexrode, K.M.; Mantzoros, C.S.; Manson, J.E.; Willett, W.C.; Hu, F.B. Mediterranean Diet and Incidence of and Mortality from Coronary Heart Disease and Stroke in Women. Circulation 2009, 119, 1093–1100. [Google Scholar] [CrossRef]
  47. Krusinska, B.; Hawrysz, I.; Wadolowska, L.; Slowinska, M.A.; Biernacki, M.; Czerwinska, A.; Golota, J.J. Associations of Mediterranean Diet and a Posteriori Derived Dietary Patterns with Breast and Lung Cancer Risk: A Case-Control Study. Nutrients 2018, 10, 470. [Google Scholar] [CrossRef]
  48. Sánchez, C.; Fente, C.; Barreiro, R.; López-Racamonde, O.; Cepeda, A.; Regal, P. Association between Breast Milk Mineral Content and Maternal Adherence to Healthy Dietary Patterns in Spain: A Transversal Study. Foods 2020, 9, 659. [Google Scholar] [CrossRef]
  49. Antasouras, G.; Papadopoulou, S.K.; Alexatou, O.; Papandreou, D.; Mentzelou, M.; Migdanis, A.; Psara, E.; Migdanis, I.; Chrysafi, M.; Tyrovolas, S.; et al. Adherence to the Mediterranean Diet during Pregnancy: Associations with Sociodemographic and Anthropometric Parameters, Perinatal Outcomes, and Breastfeeding Practices. Medicina 2023, 59, 1547. [Google Scholar] [CrossRef]
  50. Krešić, G.; Dujmović, M.; Mandić, M.L.; Delaš, I. Relationship between Mediterranean Diet and Breast Milk Fatty Acid Profile: A Study in Breastfeeding Women in Croatia. Dairy Sci. Technol. 2013, 93, 287–301. [Google Scholar] [CrossRef]
  51. Codini, M.; Tringaniello, C.; Cossignani, L.; Boccuto, A.; Mirarchi, A.; Cerquiglini, L.; Troiani, S.; Verducci, G.; Patria, F.F.; Conte, C.; et al. Relationship between Fatty Acids Composition/Antioxidant Potential of Breast Milk and Maternal Diet: Comparison with Infant Formulas. Molecules 2020, 25, 2910. [Google Scholar] [CrossRef] [PubMed]
  52. Sánchez-Hernández, S.; Esteban-Muñoz, A.; Samaniego-Sánchez, C.; Giménez-Martínez, R.; Miralles, B.; Olalla-Herrera, M. Study of the Phenolic Compound Profile and Antioxidant Activity of Human Milk from Spanish Women at Different Stages of Lactation: A Comparison with Infant Formulas. Food Res. Int. 2021, 141, 110149. [Google Scholar] [CrossRef] [PubMed]
  53. Martínez-González, M.A.; García-Arellano, A.; Toledo, E.; Salas-Salvadó, J.; Buil-Cosiales, P.; Corella, D.; Covas, M.I.; Schröder, H.; Arós, F.; Gómez-Gracia, E.; et al. A 14-Item Mediterranean Diet Assessment Tool and Obesity Indexes among High-Risk Subjects: The PREDIMED Trial. PLoS ONE 2012, 7, e43134. [Google Scholar] [CrossRef]
  54. Grabowski, A.; Baylin, A.; Ellsworth, L.; Richardson, J.; Kaciroti, N.; Sturza, J.; Miller, A.L.; Gearhardt, A.N.; Lumeng, J.C.; Gregg, B. Maternal Mediterranean Diet During Lactation and Infant Growth. Breastfeed. Med. 2024, 19, 848–856. [Google Scholar] [CrossRef]
  55. Lai, J.S.; Hiles, S.; Bisquera, A.; Hure, A.J.; McEvoy, M.; Attia, J. A Systematic Review and Meta-Analysis of Dietary Patterns and Depression in Community-Dwelling Adults. Am. J. Clin. Nutr. 2014, 99, 181–197. [Google Scholar] [CrossRef]
  56. Murakami, K.; Sasaki, S. Dietary Intake and Depressive Symptoms: A Systematic Review of Observational Studies. Mol. Nutr. Food Res. 2010, 54, 471–488. [Google Scholar] [CrossRef]
  57. Gilbody, S.; Lightfoot, T.; Sheldon, T. Is Low Folate a Risk Factor for Depression? A Meta-Analysis and Exploration of Heterogeneity. J. Epidemiol. Community Health 2007, 61, 631–637. [Google Scholar] [CrossRef]
  58. Amini, S.; Jafarirad, S.; Amani, R. Postpartum Depression and Vitamin D: A Systematic Review. Crit. Rev. Food Sci. Nutr. 2019, 59, 1514–1520. [Google Scholar] [CrossRef]
  59. Appleton, K.M.; Hayward, R.C.; Gunnell, D.; Peters, T.J.; Rogers, P.J.; Kessler, D.; Ness, A.R. Effects of N-3 Long-Chain Polyunsaturated Fatty Acids on Depressed Mood: Systematic Review of Published Trials. Am. J. Clin. Nutr. 2006, 84, 1308–1316. [Google Scholar] [CrossRef]
  60. Ventriglio, A.; Sancassiani, F.; Contu, M.P.; Latorre, M.; Di Slavatore, M.; Fornaro, M.; Bhugra, D. Mediterranean Diet and Its Benefits on Health and Mental Health: A Literature Review. Clin. Pract. Epidemiol. Ment. Health 2020, 16, 156–164. [Google Scholar] [CrossRef]
  61. Kaluza, J.; Lozynska, K.; Rudzinska, J.; Granda, D.; Sicinska, E.; Szmidt, M.K. Mediterranean-Style Diet and Other Determinants of Well-Being in Omnivorous, Vegetarian, and Vegan Women. Nutrients 2023, 15, 725. [Google Scholar] [CrossRef] [PubMed]
  62. Baskin, R.; Hill, B.; Jacka, F.N.; O’Neil, A.; Skouteris, H. The Association Between Diet Quality and Mental Health During the Perinatal Period. A Systematic Review. Appetite 2015, 91, 41–47. [Google Scholar] [CrossRef]
  63. Chatzi, L.; Melaki, V.; Sarri, K.; Apostolaki, I.; Roumeliotaki, T.; Georgiou, V.; Vassilaki, M.; Koutis, A.; Bitsios, P.; Kogevinas, M. Dietary Patterns during Pregnancy and the Risk of Postpartum Depression: The Mother-Child “Rhea” Cohort in Crete, Greece. Public Health Nutr. 2011, 14, 1663–1670. [Google Scholar] [CrossRef]
  64. Hamazaki, K.; Matsumura, K.; Tsuchida, A.; Kasamatsu, H.; Tanaka, T.; Ito, M.; Inadera, H.; Japan Environment and Children’s Study Group. Dietary Intake of Fish and N-3 Polyunsaturated Fatty Acids and Risk of Postpartum Depression: A Nationwide Longitudinal Study—The Japan Environment and Children’s Study (JECS). Psychol. Med. 2020, 50, 2416–2424. [Google Scholar] [CrossRef]
  65. Opie, R.S.; Uldrich, A.C.; Ball, K. Maternal Postpartum Diet and Postpartum Depression: A Systematic Review. Matern. Child Health J. 2020, 24, 966–978. [Google Scholar] [CrossRef]
  66. Cao, L.; Liu, Y.; Liang, X.; Zheng, Y.; Li, W.; Yan, J.; Huang, G. Association between Dietary Patterns during the Third Trimester and the Risk of Postpartum Depression in China. J. Affect. Disord. 2020, 264, 370–375. [Google Scholar] [CrossRef]
  67. Bayes, J.; Schloss, J.; Sibbritt, D. Effects of Polyphenols in a Mediterranean Diet on Symptoms of Depression: A Systematic Literature Review. Adv. Nutr. 2020, 11, 602–615. [Google Scholar] [CrossRef]
  68. Dalfra’, M.G.; Burlina, S.; Lapolla, A. Weight Gain during Pregnancy: A Narrative Review on the Recent Evidences. Diabetes Res. Clin. Pract. 2022, 188, 109913. [Google Scholar] [CrossRef]
  69. Schauberger, C.W.; Rooney, B.L.; Brimer, L.M. Factors That Influence Weight Loss in the Puerperium. Obstet. Gynecol. 1992, 79, 424–429. [Google Scholar] [CrossRef]
  70. Wahabi, H.A.; Fayed, A.A.; Tharkar, S.; Esmaeil, S.A.; Bakhsh, H. Postpartum Weight Retention and Cardiometabolic Risk among Saudi Women: A Follow-Up Study of RAHMA Subcohort. BioMed Res. Int. 2019, 2019, 2957429. [Google Scholar] [CrossRef]
  71. Catalano, P.M.; Shankar, K. Obesity and Pregnancy: Mechanisms of Short Term and Long Term Adverse Consequences for Mother and Child. BMJ 2017, 356, j1. [Google Scholar] [CrossRef] [PubMed]
  72. Neville, C.E.; McKinley, M.C.; Holmes, V.A.; Spence, D.; Woodside, J.V. The Effectiveness of Weight Management Interventions in Breastfeeding Women—A Systematic Review and Critical Evaluation. Birth 2014, 41, 223–236. [Google Scholar] [CrossRef]
  73. Cano-Ibáñez, N.; Martínez-Galiano, J.M.; Luque-Fernández, M.A.; Martín-Peláez, S.; Bueno-Cavanillas, A.; Delgado-Rodríguez, M. Maternal Dietary Patterns during Pregnancy and Their Association with Gestational Weight Gain and Nutrient Adequacy. Int. J. Environ. Res. Public Health 2020, 17, 7908. [Google Scholar] [CrossRef] [PubMed]
  74. Al Wattar, B.H.; Dodds, J.; Placzek, A.; Beresford, L.; Spyreli, E.; Moore, A.; Gonzalez Carreras, F.J.; Austin, F.; Murugesu, N.; Roseboom, T.J.; et al. Mediterranean-Style Diet in Pregnant Women with Metabolic Risk Factors (ESTEEM): A Pragmatic Multicentre Randomised Trial. PLoS Med. 2019, 16, e1002857. [Google Scholar] [CrossRef]
  75. Silva-del Valle, M.A.; Sánchez-Villegas, A.; Serra-Majem, L. Asociación Entre El Seguimiento de La Dieta Mediterránea Con El Sobrepeso y La Obesidad En Gestantes de Gran Canaria. Nutr. Hosp. 2013, 28, 654–659. [Google Scholar] [CrossRef]
  76. Wrottesley, S.V.; Pisa, P.T.; Norris, S.A. The Influence of Maternal Dietary Patterns on Body Mass Index and Gestational Weight Gain in Urban Black South African Women. Nutrients 2017, 9, 732. [Google Scholar] [CrossRef]
  77. Zhang, Y.; Xia, M.; Weng, S.; Wang, C.; Yuan, P.; Tang, S. Effect of Mediterranean Diet for Pregnant Women: A Meta-Analysis of Randomized Controlled Trials. J. Matern.-Fetal Neonatal Med. 2022, 35, 4824–4829. [Google Scholar] [CrossRef]
  78. Asbee, S.M.; Jenkins, T.R.; Butler, J.R.; White, J.; Elliot, M.; Rutledge, A. Preventing Excessive Weight Gain During Pregnancy Through Dietary and Lifestyle Counseling: A Randomized Controlled Trial. Obstet. Gynecol. 2009, 113, 305–312. [Google Scholar] [CrossRef]
  79. Walker, L.O. Predictors of Weight Gain at 6 and 18 Months after Childbirth: A Pilot Study. J. Obstet. Gynecol. Neonatal Nurs. 1996, 25, 39–48. [Google Scholar] [CrossRef]
  80. Shao, H.H.; Hwang, L.C.; Huang, J.P.; Hsu, H.Y. Postpartum Weight Retention Risk Factors in a Taiwanese Cohort Study. Obes. Facts 2018, 11, 37–45. [Google Scholar] [CrossRef]
  81. Fadzil, F.; Shamsuddin, K.; Puteh, S.E.W.; Tamil, A.M.; Ahmad, S.; Hayi, N.S.A.; Samad, A.A.; Ismail, R.; Shauki, N.I.A. Predictors of Postpartum Weight Retention among Urban Malaysian Mothers: A Prospective Cohort Study. Obes. Res. Clin. Pract. 2018, 12, 493–499. [Google Scholar] [CrossRef] [PubMed]
  82. Loy, S.L.; Cheung, Y.B.; Marjorelee, C.; Chia, A.; Han, C.Y.; Godfrey, K.M.; Chong, Y.-S.; Shek, L.P.-C.; Tan, K.H.; Lek, N.; et al. Maternal Night-Eating and Lower Diet Quality during Pregnancy Are Associated with Substantial Postpartum Weight Retention. Proc. Nutr. Soc. 2020, 79, E102. [Google Scholar] [CrossRef]
  83. Agnoli, C.; Sieri, S.; Ricceri, F.; Giraudo, M.T.; Masala, G.; Assedi, M.; Panico, S.; Mattiello, A.; Tumino, R.; Giurdanella, M.C.; et al. Adherence to a Mediterranean Diet and Long-Term Changes in Weight and Waist Circumference in the EPIC-Italy Cohort. Nutr. Diabetes 2018, 8, 22. [Google Scholar] [CrossRef]
  84. Kastorini, C.M.; Milionis, H.J.; Esposito, K.; Giugliano, D.; Goudevenos, J.A.; Panagiotakos, D.B. The Effect of Mediterranean Diet on Metabolic Syndrome and Its Components: A Meta-Analysis of 50 Studies and 534,906 Individuals. J. Am. Coll. Cardiol. 2011, 57, 1299–1313. [Google Scholar] [CrossRef]
  85. Tortosa, A.; Bes-Rastrollo, M.; Sanchez-Villegas, A.; Javier Basterra-Gortari, F.; Nũnez, J.M.; Nũnez-Cordoba, N.; Martinez-Gonzalez, M.A. Mediterranean Diet Inversely Associated With the Incidence of Metabolic Syndrome The SUN Prospective Cohort. Diabetes Care 2007, 30, 2957–2959. [Google Scholar] [CrossRef]
  86. Razquin, C.; Martinez, J.A.; Martinez-Gonzalez, M.A.; Corella, D.; Santos, J.M.; Marti, A. The Mediterranean Diet Protects against Waist Circumference Enlargement in 12Ala Carriers for the PPARγ Gene: 2 Years’ Follow-Up of 774 Subjects at High Cardiovascular Risk. Br. J. Nutr. 2009, 102, 672–679. [Google Scholar] [CrossRef]
  87. Deeb, S.S.; Fajas, L.; Nemoto, M.; Pihlajamäki, J.; Mykkänen, L.; Kuusisto, J.; Laakso, M.; Fujimoto, W.; Auwerx, J. A Pro12Ala Substitution in PPARγ2 Associated with Decreased Receptor Activity, Lower Body Mass Index and Improved Insulin Sensitivity. Nat. Genet. 1998, 20, 284–287. [Google Scholar] [CrossRef]
  88. Stuebe, A.M.; Rich-Edwards, J.W. The Reset Hypothesis: Lactation and Maternal Metabolism. Am. J. Perinatol. 2009, 26, 81–88. [Google Scholar] [CrossRef]
  89. Guasch-Ferré, M.; Merino, J.; Sun, Q.; Fitó, M.; Salas-Salvadó, J. Dietary Polyphenols, Mediterranean Diet, Prediabetes, and Type 2 Diabetes: A Narrative Review of the Evidence. Oxid. Med. Cell Longev. 2017, 2017, 6723931. [Google Scholar] [CrossRef]
  90. Gesteiro, E.; Rodríguez Bernal, B.; Bastida, S.; Sánchez-Muniz, F.J. Maternal Diets with Low Healthy Eating Index or Mediterranean Diet Adherence Scores Are Associated with High Cord-Blood Insulin Levels and Insulin Resistance Markers at Birth. Eur. J. Clin. Nutr. 2012, 66, 1008–1015. [Google Scholar] [CrossRef]
  91. Salas-Salvadó, J.; Garcia-Arellano, A.; Estruch, R.; Marquez-Sandoval, F.; Corella, D.; Fiol, M.; Gómez-Gracia, E.; Viñoles, E.; Arós, F.; Herrera, C.; et al. Components of the Mediterranean-Type Food Pattern and Serum Inflammatory Markers among Patients at High Risk for Cardiovascular Disease. Eur. J. Clin. Nutr. 2008, 62, 651–659. [Google Scholar] [CrossRef] [PubMed]
  92. Papazian, T.; Serhal, A.; Hout, H.; Younes, H.; Tayeh, G.A.; Azouri, J.; Lteif, F.H.M.; Kesrouani, A.; Khabbaz, L.R. Discrepancies among Different Tools Evaluating Mediterranean Diet Adherence during Pregnancy, Correlated to Maternal Anthropometric, Dietary and Biochemical Characteristics. Clin. Nutr. 2019, 38, 1398–1405. [Google Scholar] [CrossRef] [PubMed]
  93. Bravi, F.; Wiens, F.; Decarli, A.; Dal Pont, A.; Agostoni, C.; Ferraroni, M. Impact of Maternal Nutrition on Breast-Milk Composition: A Systematic Review. Am. J. Clin. Nutr. 2016, 104, 646–662. [Google Scholar] [CrossRef]
  94. Samur, G.; Topcu, A.; Turan, S. Trans Fatty Acids and Fatty Acid Composition of Mature Breast Milk in Turkish Women and Their Association with Maternal Diet’s. Lipids 2009, 44, 405–413. [Google Scholar] [CrossRef]
  95. Moro, G.E.; Bertino, E.; Bravi, F.; Tonetto, P.; Gatta, A.; Quitadamo, P.A.; Salvatori, G.; Profeti, C.; Di Nicola, P.; Decarli, A.; et al. Adherence to the Traditional Mediterranean Diet and Human Milk Composition: Rationale, Design, and Subject Characteristics of the MEDIDIET Study. Front. Pediatr. 2019, 7, 66. [Google Scholar] [CrossRef]
  96. Scopesi, F.; Ciangherotti, S.; Lantieri, P.B.; Risso, D.; Bertini, I.; Campone, F.; Pedrotti, A.; Bonacci, W.; Serra, G. Maternal Dietary PUFAs Intake and Human Milk Content Relationships during the First Month of Lactation. Clin. Nutr. 2001, 20, 393–397. [Google Scholar] [CrossRef]
  97. Antonakou, A.; Skenderi, K.P.; Chiou, A.; Anastasiou, C.A.; Bakoula, C.; Matalas, A.L. Breast Milk Fat Concentration and Fatty Acid Pattern during the First Six Months in Exclusively Breastfeeding Greek Women. Eur. J. Nutr. 2013, 52, 963–973. [Google Scholar] [CrossRef]
  98. Enstad, S.; Cheema, S.; Thomas, R.; Fichorova, R.N.; Martin, C.R.; O’Tierney-Ginn, P.; Wagner, C.L.; Sen, S. The Impact of Maternal Obesity and Breast Milk Inflammation on Developmental Programming of Infant Growth. Eur. J. Clin. Nutr. 2021, 75, 180–188. [Google Scholar] [CrossRef]
  99. Andreas, N.J.; Hyde, M.J.; Gale, C.; Parkinson, J.R.C.; Jeffries, S.; Holmes, E.; Modi, N. Effect of Maternal Body Mass Index on Hormones in Breast Milk: A Systematic Review. PLoS ONE 2014, 9, e115043. [Google Scholar] [CrossRef]
  100. Păduraru, L.; Dimitriu, D.C.; Avasiloaiei, A.L.; Moscalu, M.; Zonda, G.I.; Stamatin, M. Total Antioxidant Status in Fresh and Stored Human Milk from Mothers of Term and Preterm Neonates. Pediatr. Neonatol. 2018, 59, 600–605. [Google Scholar] [CrossRef]
  101. Zielinska, M.A.; Hamulka, J.; Wesolowska, A. Carotenoid Content in Breastmilk in the 3rd and 6th Month of Lactation and Its Associations with Maternal Dietary Intake and Anthropometric Characteristics. Nutrients 2019, 11, 193. [Google Scholar] [CrossRef] [PubMed]
  102. Hanson, C.; Lyden, E.; Furtado, J.; Van Ormer, M.; Anderson-Berry, A. A Comparison of Nutritional Antioxidant Content in Breast Milk, Donor Milk, and Infant Formulas. Nutrients 2016, 8, 681. [Google Scholar] [CrossRef]
  103. Karbasi, S.; Bahrami, A.; Asadi, Z.; Shahbeiki, F.; Naseri, M.; Zarban, A.; Ferns, G.A. The Association of Maternal Dietary Quality and the Antioxidant-Proxidant Balance of Human Milk. Int. Breastfeed. J. 2022, 17, 56. [Google Scholar] [CrossRef]
  104. Devaney, B.; Ziegler, P.; Pac, S.; Karwe, V.; Barr, S.I. Nutrient Intakes of Infants and Toddlers. J. Am. Diet. Assoc. 2004, 104, 14–21. [Google Scholar] [CrossRef]
  105. Amati, F.; Hassounah, S.; Swaka, A. The Impact of Mediterranean Dietary Patterns during Pregnancy on Maternal and Offspring Health. Nutrients 2019, 11, 1098. [Google Scholar] [CrossRef]
  106. Assaf-Balut, C.; de la Torre, N.G.; Fuentes, M.; Durán, A.; Bordiú, E.; Del Valle, L.; Valerio, J.; Jiménez, I.; Herraiz, M.A.; Izquierdo, N.; et al. A High Adherence to Six Food Targets of the Mediterranean Diet in the Late First Trimester Is Associated with a Reduction in the Risk of Materno-Foetal Outcomes: The St. Carlos Gestational Diabetes Mellitus Prevention Study. Nutrients 2019, 11, 66. [Google Scholar] [CrossRef]
  107. Chatzi, L.; Rifas-Shiman, S.L.; Georgiou, V.; Joung, K.E.; Koinaki, S.; Chalkiadaki, G.; Margioris, A.; Sarri, K.; Vassilaki, M.; Vafeiadi, M.; et al. Adherence to the Mediterranean Diet during Pregnancy and Offspring Adiposity and Cardiometabolic Traits in Childhood. Pediatr. Obes. 2017, 12, 47–56. [Google Scholar] [CrossRef]
  108. Xu, J.; Wang, H.; Bian, J.; Xu, M.; Jiang, N.; Luo, W.; Zu, P.; Yin, W.; Zhu, P. Association between the Maternal Mediterranean Diet and Perinatal Outcomes: A Systematic Review and Meta-Analysis. Adv. Nutr. 2024, 15, 100159. [Google Scholar] [CrossRef]
  109. Dai, F.; Wang, P.; Li, Q.; Zhang, L.; Yu, L.; Wu, L.; Tao, R.; Zhu, P. Mediterranean Diet during Pregnancy and Infant Neurodevelopment: A Prospective Birth Cohort Study. Front. Nutr. 2023, 9, 1078481. [Google Scholar] [CrossRef]
  110. Ganjeh, B.J.; Mirrafiei, A.; Jayedi, A.; Mirmohammadkhani, M.; Emadi, A.; Ehsani, F.; Shab-Bidar, S. The Relationship between Adherence to the Mediterranean Dietary Pattern during Early Pregnancy and Behavioral, Mood and Cognitive Development in Children under 1 Year of Age: A Prospective Cohort Study. Nutr. Neurosci. 2024, 27, 726–733. [Google Scholar] [CrossRef]
  111. Innis, S.M. Impact of Maternal Diet on Human Milk Composition and Neurological Development of Infants. Am. J. Clin. Nutr. 2014, 99, 734S–741S. [Google Scholar] [CrossRef] [PubMed]
  112. Zielinska, M.A.; Hamulka, J.; Grabowicz-Chadrzyńska, I.; Bryś, J.; Wesolowska, A. Association between Breastmilk LC PUFA, Carotenoids and Psychomotor Development of Exclusively Breastfed Infants. Int. J. Environ. Res. Public Health 2019, 16, 1144. [Google Scholar] [CrossRef] [PubMed]
  113. Leghi, G.E.; Middleton, P.F.; Muhlhausler, B.S. A Methodological Approach to Identify the Most Reliable Human Milk Collection Method for Compositional Analysis: A Systematic Review Protocol. Syst. Rev. 2018, 7, 122. [Google Scholar] [CrossRef]
Figure 1. A flow diagram of the records is included in the narrative review.
Figure 1. A flow diagram of the records is included in the narrative review.
Nutrients 17 01760 g001
Figure 2. A Venn diagram of analyzed outcomes in publications included in the review.
Figure 2. A Venn diagram of analyzed outcomes in publications included in the review.
Nutrients 17 01760 g002
Table 1. Inclusion and exclusion criteria for screening studies.
Table 1. Inclusion and exclusion criteria for screening studies.
Type of CriteriaCriteria
Inclusion
  • observational or intervention studies investigating adherence to or MED intervention during pregnancy or lactation
  • evaluation of maternal, breastfeeding, and/or infant outcomes among breastfeeding mother–infant dyads
  • articles in English
  • articles published between January 2005 and January 2025
Exclusion
  • outcomes measured in non-breastfeeding mothers and/or formula-fed infants
  • outcomes measured exclusively during pregnancy or delivery
  • no data on breastfeeding status or human milk composition
  • animal studies
  • reviews, systematic reviews, or meta-analyses
  • study protocols
  • conference abstracts
  • articles with no full text available
MED—Mediterranean diet.
Table 2. Studies evaluating associations between the Mediterranean diet and maternal psychological and well-being outcomes.
Table 2. Studies evaluating associations between the Mediterranean diet and maternal psychological and well-being outcomes.
No.Author and YearStudy Design, NameStudy Size, CountrySample Characteristic
(Special Features, Age)
Dietary Assessment/
Intervention, Timing
Mediterranean Diet AssessmentOutcome
(Measures, Methods, Timing of Assessment)
Effect of the Mediterranean
Diet
1Gila-Díaz et al., 2021 [24]Cross-sectional studyn = 55
Spain
n = 30 term deliveries
n = 25 preterm deliveries
34.0 (31.5–37.0) y
AP-Q (graphic representation of MED diet questionnaire)
28 d postpartum
AP-Q
(11 components)
Stress (PSS); overall positive attitude (LOT); postpartum depression (EPDS)
2×: 14 d and 6 m postpartum
↑ positivity (14 d and 6 m)
↔ postpartum depression, stress
2Flor-Alemany et al., 2022 [25]RCT GESTAFITSpain
n = 85
n = 46 exercise intervention
n = 39 control
33.4 ± 4.2 y
FFQ
16 Hbd
Mediterranean Food Pattern
(8 components)
Postpartum depression (EPDS)
6 wk postpartum
↓ postpartum depression
3Papadopoulou et al., 2023 [26]Cross-sectional studyGreece
n = 3941
33.2 ± 5.6 y3–6 m postpartumMedDietScore
(11 components)
Postpartum depression (EPDS)
3–6 m postpartum
↓ postpartum depression
↔ no association/effect; ↑ positive association/effect; ↓ negative association/effect; AP-Q, adherence to the healthy food pyramid; d, days; EPDS, Edinburgh Postpartum Depression Scale; FFQ, food frequency questionnaire; m, months; LOT, Life Orientation Test; MED, Mediterranean diet; PSS, Perceived Stress Scale; RCT, randomized controlled trial; y, years.
Table 3. Studies evaluating associations between the Mediterranean diet and maternal anthropometric outcomes.
Table 3. Studies evaluating associations between the Mediterranean diet and maternal anthropometric outcomes.
No.Author and YearStudy Design, NameStudy Size, CountrySample Characteristic
(Special Features, Age)
Dietary Assessment/Intervention, TimingMediterranean Diet AssessmentOutcome
(Measures, Methods, Timing of Assessment)
Effect of the Mediterranean Diet
1Stendell-Hollis et al., 2013 [30]RCTn = 102
USA
74% EBF
27.2–4.9 kg/m2
29.7 ± 4.6 y
MED (28 g walnuts/d, 1–2 tbs EVOO/d) vs. MyPyramid
FFQ (153 items), 24-h dietary recall
Baseline and 4 m
MED score
(9 components)
Anthropometry (BIA) and metabolic outcomes
Baseline (2 wk) and after intervention (6 m)
↓ weight, BMI, WC, hip circumference, WHtR, %FM
2de la Torre et al., 2019 [31]Intervention studyn = 384 (postpartum)
Spain
18% GDM
33.2 ± 4.9 y
Educational intervention (12–14 Hbd): >40 mL EVOO and/or nutsMEDAS
(14 components)
Maternal anthropometry and metabolic outcomes
12–14 wk post-partum
↔ weight, BMI, WC
3Radwan et al., 2021 [32]Observational study
MISC
n = 150
United Arab Emirates
98% BF for 2 m
84% BF for 6 m
FFQ (86 items)
3rd trimester
aMED
(8 components),
LMD
(9 components)
Weight changes across pregnancy and postpartum period
2 and 6 m postpartum
↓ PPWR
4Tabasso et al., 2021 [33]Cross-sectional studyn = 147
Italy
33 ± 6.5–34.5 ± 4.3 yEPIC-ffq
30 ± 10 d postpartum
IMI
(11 components)
Anthropometric and body composition assessment (BOD POD)
30 ± 10 d postpartum
↔ weight, BMI
↓ %FM, FMI
5Melero et al., 2023 [34]RCT
San Carlos Cohort
n = 1400 (postpartum)
Spain
29–37 yEducational intervention (12–14 Hbd): >40 mL EVOO and/or nutsAdapted MEDAS (12 components)Anthropometry and metabolic outcomes
3 m and 3 y postpartum
3 m postpartum:
↓ BMI
3 y postpartum:
↓ weight, BMI, WC
↔ FM (kg)
6Flor-Alemany et al., 2023 [35]RCT
GESTAFIT
n = 83
Spain
n = 43 exercise intervention
n = 40 control
33.4 ± 4.2 y
FFQ
16 Hbd
Mediterranean Food Pattern
(8 components)
Body composition (DXA)
6th wk postpartum
↑ lean mass
↓ FM, android FM, android to gynoid FM
7Martín-O’Connor et al., 2024 [36]RCTn = 453
Spain
prepregnancy overweightEducational intervention (12–14 Hbd): >40 mL EVOO and/or nutsMEDAS
(14 components)
Anthropometry and metabolic outcomes
3 m and 3 y postpartum
3 m postpartum:
↔ BMI, WC, FM
3 y postpartum:
↑ weight loss
↓ WC ≥ 89.5 cm
↔ BMI, WC, FM
8Sims et al., 2024 [21]within-subject intervention studyn = 13
USA
EBF
Obesity
32.8 ± 3.8 y
Med diet (2 ready-to-eat meals + EVOO)
4 weeks
3-day food records, HEI
MedDiet Score
(11 components)
Anthropometry (BOD POD) and metabolic outcomes
Baseline, 2 wk and 4 wk
↓ weight, BMI, FMI
↔ FFMI
↔ no association/effect; ↑ positive association/effect; ↓ negative association/effect; aMED, Alternate Mediterranean Index; BIA, bioelectrical impedance analysis; BF, breastfeeding; BMI, body mass index; EBF, exclusive breastfeeding; d, days; DXA, dual-energy X-ray absorptiometry; EPIC-ffq, European Prospective Investigation into Cancer and Nutrition Food Frequency Questionnaire; EVOO, extra-virgin olive oil; FFQ, food frequency questionnaire; FM, fat mass; FFMI, fat-free mass index; FMI, fat mass index; GDM, gestational diabetes mellitus; Hbd, gestational weeks; HEI, Healthy Eating Index; IMI, Italian Mediterranean Index; LMD, Lebanese Mediterranean diet; MEDAS, Mediterranean diet adherence screener; MISC, mother and infant study cohort; PPWR, postpartum weight retention; RCT, randomized controlled trial; WC, waist circumference; wk, weeks; WHtR, waist to hip ratio; y, years.
Table 4. Studies evaluating associations between the Mediterranean diet and maternal metabolic outcomes.
Table 4. Studies evaluating associations between the Mediterranean diet and maternal metabolic outcomes.
No.Author and YearStudy DesignStudy Size, Country, NameSample Characteristic
(Special Features, Age)
Dietary Assessment/
Intervention, Timing
Mediterranean Diet AssessmentOutcome
(Measures, Methods, Timing of Assessment)
Effect of the Mediterranean Diet
1Stendell-Hollis et al., 2013 [30]RCTn = 102
USA
74% EBF
27.2–4.9 kg/m2
29.7 ± 4.6 y
MED (28 g walnuts/d, 1–2 tbs EVOO/d) vs.
MyPyramid
FFQ (153 items),
24 h dietary recall
Baseline and 4 m
MED score
(9 components)
Plasma FAs (GC),
inflammatory biomarkers (ELISA)
4 m
↑ LA, ALA, ω-3, ω-3/ω-6 ratio
ω-6/ω-3 ratio, TNF-α
↔ IL-6
2de la Torre et al., 2019 [31]Intervention studyn = 384 (postpartum)
Spain
18% GDM
33.2 ± 4.9 y
Educational intervention (12–14 Hbd): >40 mL
EVOO and/or nuts
MEDAS
(14 components)
Metabolic outcomes
12–14 wk postpartum
↔ FG, insulin, HOMA-IR, HbA1c, sBP, C, HDL-C, LDL-C, TG
3Melero et al., 2023 [34]RCT
San Carlos
Cohort
n = 1400 (postpartum)
Spain
29–37 yEducational intervention (12–14 Hbd): >40 mL
EVOO and/or nuts
Adapted MEDAS (12 components)Metabolic outcomes
3 m and 3 y postpartum
3 m postpartum:
↓ C, LDL-C, HDL-C, apo-B, CRP, FG, insulin, HOMA-IR
3 m postpartum:
↓ C, LDL-C, apo-B, CRP, insulin, HOMA-IR, dBP, MetS components
↔ glucose
4Che et al., 2024 [43]Cohort
Boston Birth
n = 1410
USA
28.2 (22.9–33.5) y21–72 h postpartumMedDiet ScorePlasma metabolite profile (LC-MS)
24–72 h postpartum
↑ triacylglycerols, phosphatidylcholines plasmalogen, phosphatidylserine, phosphatidylethanolamine, methionine sulfoxide, VA
↓ threonine, tropane, adenosine
5Martín-O’Connor et al., 2024 [36]RCTn = 453
Spain
prepregnancy overweightnessEducational intervention
(12–14 Hbd): >40 mL EVOO and/or nuts
MEDAS
(14 components)
Metabolic outcomes
3 m and 3 y postpartum
3 m postpartum:
↓ LDL-C
↔ MetS components
3 y postpartum:
↔ C, HDL-C, TG, sBP, dBP, MetS components
↓ impaired FG
6Sims et al., 2024 [21]within-subject intervention studyn = 13
USA
EBF
Obesity
32.8 ± 3.8 y
MED diet (2 ready-to-eat meals + EVOO)
4 weeks
3-day food records, HEI
MedDiet Score
(11 components)
Metabolic outcomes, inflammatory biomarkers
Baseline, 2 wk and 4 wk
↓ C, HDL-C, LDL-C,
↔ leptin, insulin, CRP, IL-6, IL-8, TNF-α
7Zielinska-Pukos et al., 2024a [22]Case–control
BLOOM
n = 40
Poland
n = 20 NW
n = 20 OW/OB
32.4 ± 3.9 y
FFQ (61 food items)
15.05 ± 1.2 w
Polish-aMED
(8 components)
Serum leptin (ELISA)
15.5 ± 1.2 w
↑ leptin (in NW)
↔ no association/effect; ↑ positive association/effect; ↓ negative association/effect; ALA, alpha-linolenic acid; apo-B, apolipoprotein B; BLOOM, breastmilk and the link to overweightness/obesity and maternal diet; C, cholesterol; CRP, C-reactive protein; dBP, diastolic blood pressure; EBF, exclusive breastfeeding; EVOO, extra-virgin olive oil; FA, fatty acid; FFQ, food frequency questionnaire; FG, fasting glucose; GC, gas chromatography; GDM, gestational diabetes mellitus; HbA1c, hemoglobin 1Ac (glycated hemoglobin); Hbd, gestational weeks; HDL-C, high-density lipoprotein cholesterol; HEI, Healthy Eating Index; HOMA-IR, homeostatic model assessment for insulin resistance; IL, interleukin; LA, linoleic acid; LC-MS, liquid chromatography–mass spectrometry; LDL-C, low-density lipoprotein cholesterol; MED, Mediterranean diet; MEDAS, Mediterranean diet adherence screener; MetS, metabolic syndrome; NW, normal weight; OW/OB, overweightness/obesity; RCT, randomized controlled trial; sBP, systolic blood pressure; TG, triglyceride; TNF-α, tumor necrosis factor α; wk, weeks; y, years; VA, vitamin A.
Table 5. Studies evaluating associations between the Mediterranean diet and lactation and human milk outcomes.
Table 5. Studies evaluating associations between the Mediterranean diet and lactation and human milk outcomes.
No.Author and YearStudy Design, NameStudy Size, CountrySample Characteristic
(Special Features, Age)
Dietary Assessment/Intervention, TimingMediterranean Diet AssessmentHuman Milk Collection ProtocolOutcome
(Measures, Methods, Timing of Assessment)
Effect of the Mediterranean Diet
1Antasouras et al., 2023 [49]Cross-sectional studyn = 5688
Greece
35.1 ± 4.8 yThe third trimester of pregnancyMedDiet Score
(11 components)
N/ARates of EBF↑ EBF for 4 months
Human milk composition
1Krešić et al., 2013 [50]Cross-sectional studyn = 83
Croatia
31.80 ± 4.60 y
Fully BF
Two consecutive
24 h recalls
5th to 25th lactation wk
No details5 mL of post-feeding human milk expressed manually from one breast between 10 and 12 a.m.
5–25 wk of lactation
FAs profile (GC)↑ LA, DHA, OA, palmitic acid
↔ AA
2Codini et al., 2020 [51]Cross-sectional studyn = 30
Italy
31.7 ± 5.1 y
Healthy milk donors
NoEvaluated by interview
(no details)
Standardized procedure (no details)
Samples were submitted to Holder pasteurization
FA profile (GC),
antioxidant
potential (ORAC)
↑ SFA, PUFA, antioxidant potential
3Sánchez et al., 2020 [48]Observational cross-sectional studyn = 75
Spain
35.5 ± 4.0 yNo
0.8–59 m postpartum
MEDAS
(14 components)
25 mL of prefeed milk was expressed (manually/using a breast pump). No details on the time of collection 0.8–59 m postpartumMineral composition (ICP-MS)↑ Se
↔ Na, K, Ca, Ca/P, Mg, Fe
4Sánchez-Hernández et al., 2021 [52]Observational cross-sectional studyn = 18
Spain
31.4 (23.0–39.0) y
Participants with medium and high adherence
NoMED questionnaire
(14 components)
Colostrum (1–5 days, Marmet manual extraction technique).
Transitional milk (6–15 days) and mature milk (after 15 days)
pre- and post-feed milk was expressed by pump
Phenolic compounds (UPLC-MS/MS), total phenolic compound (Folin assay), antioxidant activity (DPPH, ABTS, FRAP)↑ total phenolic compound, antioxidant activity
5Di Maso et al., 2022 [20]Observational study
MEDIDIET
n = 282
Italy
33 ± 4 y
EBF
6 ± 1 wk postpartum
FFQ (78 items)MedDiet Score
(9 components)
30–50 mL of foremilk expressed using a breast pump after breakfast and before lunch, from 1 to 3 h after a previous BF session
6 ± 1 wk postpartum
FA profile (GC)↓ SFA, palmitic acid, stearic acid, AA, ω-6/ω-3, LA/ALA
↑ MUFA, OA, erucic, PUFA ω-3, ALA, EPA, DHA, DPA, DHA/AA
6Karbasi et al., 2023 [23]Cross-sectional studyn = 350
Iran
Mother:
29.5 ± 5.9 y
Infants:
1–6 m
FFQ (65 items)MedDiet Score
(8 components)
2 × 20 mL of pre-feeding human milk manually expressed between 7 and 10 a.m.
1–6 m
Protein (Bradford protein assay),
TGs and Ca (colorimetric method), total antioxidant activity (FRAP, DPPH, TBARS)
↑ protein, DPPH, FRAP
↓ triglycerides
↔ Ca, thiol
7Sims et al., 2024 [21]within-subject intervention studyn = 13
USA
EBF
Obesity
32.8 ± 3.8 y
n = 8 male infants
MED diet (2 ready-to-eat meals + EVOO)
4 weeks
3-day food records, HEI
MedDiet Score
(11 components)
4 mL of milk from full breast across all feedings across 24 h pooled into one sample
Before each study visit
Macronutrients and energy value (MIRIS HM Analyzer), Leptin insulin, CRP, IL-6, IL-8, TNF-α (ELISA)
HMOs (HPLC, pre- and post-intervention milk)
↔ macronutrients, energy value, HMOs, insulin, IL-6, CRP
↓ leptin, IL-8, TNF-α
8Zielinska-Pukos et al., 2024a [22]Case–control
BLOOM
n = 40
Poland
n = 20 NW
n = 20 OW/OB
32.4 ± 3.9 y
FFQ (61 food items)
15.05 ± 1.2 w
Polish-Amed
(8 components)
An equal volume of pre- and post-feeding milk was expressed during one feeding from four time periods across 24 h
15.05 ± 1.2 w
Leptin in skimmed milk (ELISA)↓ leptin (in OW/OB)
9Zielinska-Pukos et al., 2024b [44]Observational studyn = 43
Poland
31.3 ± 3.6 yFFQ (61 items)
First month of lactation
Polish-aMED Scores
(8 components)
An equal volume of pre- and post-feeding milk was expressed during one feeding from four time periods across 24 h
First month of lactation
Mineral composition (ICP-MS)↑ Ca, Zn
↔ Fe, P
↔ no association/effect; ↑ positive association/effect; ↓ negative association/effect; AA, arachidonic acid; ALA, alpha-linolenic acid; aMED, alternate Mediterranean Diet Score; BLOOM, breastmilk and the link to overweightness/obesity and maternal diet; BF, breastfeeding; Ca, calcium; CRP, C-reactive protein; d, days; DPPH, 2,2-Diphenyl-1-picrylhydrazyl; EBF, exclusive breastfeeding; ELISA, enzyme-linked immunosorbent assay; EVOO, extra-virgin olive oil; FA, fatty acid; Fe, iron; FFQ, food frequency questionnaire; FRAP, ferric reducing antioxidant power; GC, gas chromatography; HEI, Healthy Eating Index; HMOs, human milk oligosaccharides; HPLC, high-performance liquid chromatography; IL, interleukin; ICP-MS, inductively coupled plasma mass spectrometry; K, potassium; LA, linoleic acid; MED, Mediterranean diet; MEDAS, Mediterranean diet adherence screener; Mg, magnesium; MUFA, monounsaturated fatty acids; Na, sodium; N/A, not applicable; NW, normal weight; OA, oleic acid; OW/OB, overweight/obesity; P, phosphor; PUFA, polyunsaturated fatty acids; SFA, saturated fatty acids; Se, selenium; TBARS, thiobarbituric acid reactive substances; TG, triglyceride; TNF-α, tumor necrosis factor α; UPLC-MS/MS, ultra performance liquid chromatography–tandem mass spectrometry; wk, weeks; y, years; Zn, zinc.
Table 6. Studies evaluating associations between the Mediterranean diet and infant outcomes.
Table 6. Studies evaluating associations between the Mediterranean diet and infant outcomes.
No.Author and YearStudy Design, NameStudy Size, CountrySample Characteristic
(Special Features, Age)
Dietary Assessment/Intervention, TimingMediterranean Diet AssessmentOutcome
(Measures, Methods, Timing of Assessment)
Effect of the Mediterranean Diet
1Karbasi et al., 2023 [23]Cross-sectional studyn = 350
Iran
Mother:
29.5 ± 5.9 y
Infants:
1–6 m
FFQ (65 items)MedDiet Score
(8 components)
1–6 m
Infant morning urine anti-oxidant status (DPPH, FRAP)
1–6 m of life
↑ urine antioxidants
2Sims et al., 2024 [21]within-subject intervention studyn = 13
USA
EBF
Obesity
32.8 ± 3.8 y
n = 8 male infants
MED diet (2 ready-to-eat meals + EVOO)
4 weeks
3-day food records, HEI
MedDiet Score
(11 components)
Infant anthropometry and body composition (quantitative nuclear magnetic resonance) baseline, 2 wk, and 4 wk of the intervention↔ weight-for-age, length-for-age, weight-for-length z-scores, FFMI, FMI
3Grabowski et al., 2024 [54]Prospective observational study, ABC BabyN = 167
USA
31.6 ± 4.5 y
49% male infants
FFQ (135 items)
2 wk or 2 m postpartum
MedDiet Score
(two versions: 8 and 9 components)
Infant anthropometry (WHO standards), flank skinfold thickness
6 m
↔ weight-for-age, length-for-age
↓ flank skinfold thickness
↔ no association/effect; ↑ positive association/effect; ↓ negative association/effect; d, days; DPPH, 2,2-Diphenyl-1-picrylhydrazyl; EBF, exclusive breastfeeding; EVOO, extra-virgin olive oil; FFQ, food frequency questionnaire; FFMI, fat-free mass index; FMI, fat mass index; FRAP, ferric reducing antioxidant power; HEI, Healthy Eating Index; MED, Mediterranean diet; WHO, World Health Organization; y, years.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Baglayici, R.; Hamulka, J.; Zielinska-Pukos, M.A. Mediterranean Diet Outcomes Across the Mother–Milk–Infant Triad: A Narrative Review. Nutrients 2025, 17, 1760. https://doi.org/10.3390/nu17111760

AMA Style

Baglayici R, Hamulka J, Zielinska-Pukos MA. Mediterranean Diet Outcomes Across the Mother–Milk–Infant Triad: A Narrative Review. Nutrients. 2025; 17(11):1760. https://doi.org/10.3390/nu17111760

Chicago/Turabian Style

Baglayici, Rabia, Jadwiga Hamulka, and Monika A. Zielinska-Pukos. 2025. "Mediterranean Diet Outcomes Across the Mother–Milk–Infant Triad: A Narrative Review" Nutrients 17, no. 11: 1760. https://doi.org/10.3390/nu17111760

APA Style

Baglayici, R., Hamulka, J., & Zielinska-Pukos, M. A. (2025). Mediterranean Diet Outcomes Across the Mother–Milk–Infant Triad: A Narrative Review. Nutrients, 17(11), 1760. https://doi.org/10.3390/nu17111760

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