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Article

The Effect of Exogenous Melatonin on Eating Habits of Female Night Workers with Excessive Weight

by
Luciana Fidalgo Ramos Nogueira
1,
Cibele Aparecida Crispim
2,
José Cipolla-Neto
3,
Claudia Roberta de Castro Moreno
4,5,* and
Elaine Cristina Marqueze
1,4,*
1
Department of Epidemiology, Public Health Graduate Program, Catholic University of Santos, Av. Conselheiro Nébias 300, Vila Mathias, Santos 11015-001, Brazil
2
Chrononutrition Research Group, Faculty of Medicine, Federal University of Uberlândia, Av. Pará, 1720, Bloco 2U, Uberlandia 38405-320, Brazil
3
Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo, Av. Lineu Prestes 1524, Cidade Universitária, Butantã, Sao Paulo 05508-000, Brazil
4
Department of Health, Life Cycles and Society, School of Public Health, University of São Paulo, Av. Dr. Arnaldo 715, Cerqueira César, Sao Paulo 01246-904, Brazil
5
Department of Psychology, Stress Research Institute, Stockholm University, 16 Frescati Hagväg, 10405 Stockholm, Sweden
*
Authors to whom correspondence should be addressed.
Nutrients 2022, 14(16), 3420; https://doi.org/10.3390/nu14163420
Submission received: 20 July 2022 / Revised: 11 August 2022 / Accepted: 16 August 2022 / Published: 19 August 2022
(This article belongs to the Special Issue Improving Shift Workers Health: What Is the Role of Nutrition?)
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Abstract

:
Background and Aims: Melatonin is a pineal hormone that plays an important role as an endogenous synchronizer of circadian rhythms and energy metabolism. As this circadian component has been closely related to eating behavior, an important question on this topic would be whether melatonin administration could influence eating habits. However, this topic has been rarely studied in the literature in individuals with excessive weight and chronic circadian misalignment, such as shift workers. Therefore, the present study aims to evaluate the effects of exogenous melatonin administration on the quali/quantitative aspects and temporal distribution of food intake in female night workers with excessive weight (overweight and obesity). An additional aim is to evaluate the association of the referred outcomes with circadian misalignment and chronotype. Methods: A randomized, double-blind, placebo-controlled, crossover clinical trial was conducted with 27 female nursing professionals with excessive weight who worked permanent night shifts. The protocol was implemented under real-life conditions for 24 weeks, in two randomly allocated conditions (12 weeks of melatonin and 12 weeks of placebo). The quali/quantitative aspects of food intake (NOVA classification, total energy intake and the proportion of calories from macronutrients) and meal timing were assessed using food diaries. Timing for every meal recorded in the diaries was assessed to evaluate the temporal distribution of food intake. Generalized estimating equations were performed for each dependent variable. Results: No significant modifications in total energy intake, macronutrient distribution, types of foods consumed, and meal timing were observed after melatonin administration. Different levels of circadian misalignment and chronotype did not interfere with these results. Conclusion: Eating habits of female night workers with excessive weight remained unchanged after melatonin administration, and no association of these results with circadian misalignment and chronotype was found. These results suggest that the metabolic effects of melatonin may occur independently of food intake.

1. Introduction

The modern world, including the growing percentage of workers involved in night shift work, challenges circadian and energy homeostasis by promoting food intake during the rest phase [1,2]. The desynchronization between the suprachiasmatic nucleus and the temporal clues of the peripheral tissues in shift workers has been associated with a higher perceived appetite for calorically dense food, later meal timing, and more snacks before sleep, independent of sleep duration [3,4]. These poorer eating habits have been linked with a higher prevalence of metabolic diseases in shift workers [5,6].
It is estimated that 20 to 30% of the economically active populations in North America, Canada, Europe, and Brazil are involved in shift work that includes night shifts [7,8,9,10,11]. Night work is considered the most extreme situation of circadian misalignment [12]. Previous findings suggest that the reduction in total daily energy expenditure during night shifts [13], as well as lower energy expenditure in response to dinner [14], may increase weight gain and the risk of obesity and adverse metabolic outcomes [13]. In addition, it has been suggested that evening-type individuals, for example, are used to eating at unfavorable eating times [15], showing high energy consumption late at night [16]. The same temporal distribution of food intake is observed in shift workers [17].
Food intake has been shown to be an important synchronizer for peripheral clocks [18] and, therefore, a modifiable temporal cue for the circadian system that can be influenced by innumerous factors [19]. One of these factors might be the plasma concentration of melatonin, a hormone produced by the pineal gland that plays an important role as an endogenous synchronizer of the circadian rhythms and energy metabolism, including energy intake and expenditure [20,21].
Until now, only three studies have evaluated the effects of exogenous melatonin on night workers in real-life conditions [22,23,24], but did not evaluate eating habits. These studies assessed the effect of melatonin on (1) circadian misalignment: administration prior to daytime sleep attenuated interference from circadian alerting process, demonstrating both phase-shifting and sleep-promoting actions [22]; (2) sleep and alertness: administration reduced sleep problems and increased alertness during working hours [23]; and (3) body weight: administration reduced body weight, BMI, and waist and hip circumferences [24].
Additionally, it is important to highlight that the participants of this study had excessive weight (overweight and obesity), and that body mass seems to affect daily rhythmicity and concentrations of circulating metabolites that express circadian rhythms [25]. In addition, it has been previously established that circadian rhythms and metabolism are closely linked, and that meal timing plays a role in synchronizing peripheral circadian rhythms in humans, which is particularly relevant for shift workers [26]. The choice of focusing on females is due to the higher prevalence of excessive weight in women [27], and because nursing is a female-dominated occupation [28].
Therefore, the present study aims to evaluate the effects of melatonin administration on the quali/quantitative aspects and temporal distribution of food intake. An additional aim is to evaluate the association of the referred with circadian misalignment and chronotype. The question we expect to answer is: Does melatonin administration influence food choices, the quali/quantitative aspects and temporal distribution of food intake among female night workers with excessive weight? Given the potential of melatonin to regulate energy metabolism and to synchronize circadian rhythms including energy metabolism, we hypothesize that melatonin administration will be able to improve eating habits.

2. Materials and Methods

2.1. Design and Sampling

A randomized, double-blind, placebo-controlled, crossover clinical trial was conducted with female nursing professionals (nursing technicians and nurses) with excessive weight who worked permanent night shifts in a large private hospital in São Paulo, SP, Brazil. The protocol was implemented under real-life conditions for 24 weeks. All nurses worked in a 12 × 36 scheme (12 h on night shifts, from 19:00 to 7:00 h, followed by 36 h off) and had one day off every 15 days.
The sample was calculated considering a test of difference of means of repeated measures (within–between interaction), the effect size of 0.30, alpha error of 5%, two groups (intervention and CPD), and two measures (melatonin and placebo), in which the sample of 27 people represented a power of 85% (G×Power). Detailed information on the study sample is published elsewhere [24].
The inclusion criteria were women aged 20 to 50 years, with body mass index (BMI) ≥25 and <40 kg/m2, working for at least six months in the current night shift system, who declared having no intention of following any restricted diets and starting new physical activities while participating in the study. The exclusion criteria were pregnant or lactating women; having children under one years old; climacteric or menopause; eating disorders diagnosed by a physician; having a second night’s work; regular use of medications or dietary supplements that influence sleep, alertness, and the circadian timing system; abusive use of drugs and alcohol; past and/or current history of psychiatric, neurological, circadian or sleep disorders diagnosed by a physician; metabolic disorders (except treated type 2 diabetes mellitus and dyslipidemia); cardiovascular diseases (except treated systemic arterial hypertension); chronic inflammation and/or infection diagnosed by a physician; anemia and/or having donated >400 mL of blood in the last three months preceding the study; major surgery in the six months preceding the study.

2.2. Study Protocol

Participants were recruited from March 2018 to June 2019. They were randomly allocated into two groups using codes generated by a computer. Since it is a crossover trial, in the first phase, one group received melatonin and the other group received a placebo; then, in the second phase, the participants switched groups. Identical tablets of 3 mg of fast-release melatonin or placebo (Aché Pharmaceutics®, Sao Paulo, Brazil) were orally administered for 12 weeks each. Participants were instructed to take one tablet, one hour before bedtime, exclusively when they slept at night, that is, in the nights between shifts and days off, and never during the day. It is important to highlight that fast-release melatonin was chosen due to its higher effectiveness in circadian synchronization in comparison to other types [29]. Since melatonin is completely excreted in urine within 24 h after administration [30], no washout period was performed between the two phases of the study. The average number of days of melatonin administration was 45 days (EP 10.3 days) and the use of placebo was 44.3 days (EP 8.2 days). More information about the study protocol is provided elsewhere [24], and Figure S1 presents the study flow chart.

2.3. Study Variables

2.3.1. Outcomes

  • Quantitative aspect of the diet: Total energy intake and macronutrient distribution
Food intake was assessed by food diaries, which participants were previously instructed to fill in on typical workdays and days off (from 19:00 to 19:00 h). They completed these diaries two days per month while participating in the study, therefore totaling seven months (baseline plus 24 weeks of intervention) and 14 days recorded (two days per month, being one workday and one day off).
The participants were also given instructions to provide as detailed information as possible about food and drinks consumed, including brand names, ingredients used in homemade recipes, and meal timing. Portion sizes were estimated using household measures and subsequently converted to mass units of measurement (g) and capacity (mL), according to Pinheiro et al. [31]. Due to cultural differences between Brazilian and North American eating habits, the composition of typical Brazilian preparations was manually added to the software database using the Brazilian Food Composition Table [32] and labels of industrialized products.
The diaries were reviewed by a nutritionist to obtain additional clarifications, when necessary, and analyzed using the Nutrition Data System for Research software (NDSR, 2007). The total energy intake (TEI) and the proportion of calories from each macronutrient (carbohydrate, protein, and fat) in relation to TEI were calculated.
  • Qualitative aspect of the diet: Food classification according to processing
Every item in the reviewed food diaries was categorized as unprocessed or minimally processed, processed, or ultra-processed foods according to the NOVA classification [33]. NOVA classifies food into four groups based on the nature, extent, and purpose of the industrial processing: (1) unprocessed or minimally processed foods, such as rice, beans, frozen meat, and milk; (2) processed culinary ingredients, such as vegetable oils and table sugar; (3) processed foods, such as vegetables in brine and cheeses; and (4) ultra-processed foods, such as carbonated soft drinks, meat products, and instant noodles. A detailed description of the NOVA classification can be found in [33].
All the foods consumed were coded as a number corresponding to a food group (n = 5.549) according to NOVA. When a direct classification was not possible, such as homemade preparations and foods containing items from different groups, as well as culinary ingredients, the classification of the main ingredient was considered [33].
  • Temporal distribution of food intake
Timing for every meal in the food diaries was grouped into four categories: 19:00–00:59 h, 01:00–06:59 h, 07:00–12:59 h and 13:00–18:59 h.

2.3.2. Independent Variables

  • Composite Phase Deviations
The circadian misalignment was estimated using the composite phase deviation (CPD) [34] of actigraphy-based mid-sleep, which is calculated from the sleep onset and offset data. Participants wore actigraphs for 10 consecutive days (ActTrust and Basic Motionlogger Actigraph, Condor Instruments®, Sao Paulo, Brazil) and filled in sleep activity diaries to validate the recorded data. The CPD was calculated according to the following equation:
C P D i = x i y i =   x i 2 + y i 2
in which CPDi = composite phase deviation on day i; xi = distance of mid-sleep on day i to chronotype (MSFNsc)*; yi = distance of mid-sleep on day i to previous day i − 1. *MSFNsc = chronotype (mid-sleep on free days after night shifts, corrected for over-sleep).
  • Chronotype
Chronotype was assessed using the mid-point of sleep on free days after night shifts, corrected for over-sleep (MSFNsc) derived from the Munich Chronotype Questionnaire for shift work (MCTQshift) [35].

2.3.3. Descriptive Variables

The participants went through a two-week baseline period in which a self-administered questionnaire was completed. Sociodemographic (age, marital status, education) and work characteristics (current position, reason to work at night, lifetime exposure to night work, second job) and health behaviors (alcohol intake, smoking, physical activity) were evaluated.
Body weight and height were assessed at baseline, and body weight was also assessed in the last 10–15 days of the first and second phases of the study. Both measurements were performed according to the standardization method by Lohman et al. [36]. Body weight was assessed to the nearest 0.1 kg using a calibrated digital balance. Height was assessed using a wall-mounted portable stadiometer to the nearest 0.1 cm. Body mass index (BMI) was calculated as the body weight (kg) divided by the height squared (m2).
The energy requirements of the participants were individually calculated by the equations of estimated energy requirements (EER) [37].

2.4. Statistical Analysis

Descriptive data are shown as mean ± standard error (SE). Shapiro–Wilk’s test was used to test data normality. Generalized estimating equations (GEE) with the Bonferroni post hoc test were used to analyze the effect of melatonin and placebo administration on quali/quantitative aspects and temporal distribution of the diet. Seven models were performed for each dependent variable (TEI; percentages of daily calories taken from unprocessed or minimally processed, processed, ultra-processed foods; carbohydrate, protein, and fat; and meal timing).
The percentages of calories for each category of processing were obtained: (1) calculating the average intake of the workday and the day-off registered at the baseline and during the last four weeks of each phase of the study (weeks 12 and 24), and (2) calculating the average consumption from the 12 weeks of melatonin administration, and then from the 12 weeks of placebo. The decision to use the values for the end of each phase of the study is due to the absence of significant month-to-month differences in food intake in previously tested models.
Additionally, seven models were performed to analyze the effect of the interventions on the same dependent variables aforementioned in association with CPD, and another seven in association with chronotype. Both CPD and chronotype were treated as continuous variables. All models were adjusted for lifetime night work exposure. Gamma distribution with log link was chosen considering the smaller quasi-likelihood under the independence model criterion (QIC). Statistical analyses were performed using SPSS version 20.0 (SPSS Inc., Chicago, IL, USA). The significance level was set at 5%.

2.5. Ethical Aspects

Ethical issues regarding research involving human beings have been duly respected. The research project was approved both by the Ethics Committee of the School of Public Health of the University of São Paulo (process number 2.450.682) and the Ethics Committee of the hospital where it was conducted (process number 2.489.636). All participants gave written and informed consent to participate in the study. The clinical trial was registered at the Brazilian Registry of Clinical Trials-ReBEC (number RBR-6pncm9) and was developed according to the Consolidated Standards of Reporting Trials [38].

3. Results

Sociodemographics, work characteristics, health behaviors, BMI, CPD, and chronotype are shown in Table 1. All the participants were female, and the majority were nursing technicians, married, with a major degree. The main reason mentioned by the participants to work at night was to reconcile work with home and/or children’s care, and the majority did not have a second job. None were smokers, and most consumed alcohol only on special occasions.
The analysis of the effect of melatonin and placebo administration showed no significant results. No associations between the quali/quantitative aspects of the diet and CPD or chronotype were found as well (Table 2).
Figure 1 presents the estimated energy requirements and total caloric intake after melatonin supplementation and placebo.
The mean EER of the participants at baseline was 2357.3 kcal/day. The mean TEI after melatonin administration was 1421.1 (SE = 88.3) kcal/day, and the mean TEI after placebo administration was 1532.9 (SE = 83.8) kcal/day (GEE p = 0.15). Additionally, no statistically significant differences in TEI between the intervention phases in association with CPD (melatonin: 1469.0 ± 262.4 kcal/day, placebo: 1482.7 ± 183.0 kcal/day, GEE p = 0.94) nor chronotype (melatonin: 1418.6 ± 174.5 kcal/day, placebo: 1531.8 ± 138 kcal/day, GEE p = 0.99) were observed.
In regard to the temporal distribution of food intake, no differences in meal timing between the intervention phases were observed (Figure 2). No associations between the temporal distribution of food intake and CPD or chronotype were found as well, as shown in Table 2.

4. Discussion

The present study showed that total energy intake, macronutrients distribution, types of foods consumed, and meal timing remained unchanged after melatonin administration in female night workers with excessive weight. No associations between these outcomes and circadian misalignment or chronotype were found either. These results contradict our initial hypothesis that melatonin administration would be able to improve eating habits.

4.1. No Effects of Melatonin on Energy, Quali/Quantitative Intake and Meal Timing

Little is known about the effect of melatonin administration on food intake [39]. In the present study, we found that melatonin administration had no effect on quali/quantitative aspects of the diet in female night workers with excessive weight. One of the hypotheses to justify our findings was recently emphasized by a systematic review that evaluated the effects of melatonin supplementation on eating habits and appetite-regulating hormones [39]. This review stated that melatonin’s effects on energy metabolism can occur independently of food intake. Furthermore, the only clinical trial included in the review found no difference in food intake after 84 days of melatonin supplementation (6 mg/day) in healthy men [40]. Although our results in the present study confirm these findings from the literature so far, the need for more randomized clinical trials to confirm these findings is evident.
Previous studies have reported that hunger increases and satiety decreases after a night shift, and that food preferences and appetite are altered to high-calorie density foods [41,42], that is, ultra-processed products. These foods contributed ~35% of TEI in the present study, and no changes were observed after the intervention. This amount is notably higher than the 22.7% observed in a cross-sectional analysis from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort [43]. The higher intake might be related to chronic fatigue and sleep disturbances frequently experienced by shift workers, which promotes hedonic control of food intake and decreases the motivation to prepare meals, facilitating the choice of ready-to-eat, less healthy options [44].
The implication of modern industrial processing on health is overall underrated, but the quality of the energy consumed deserves particular attention in specific groups at higher risk of metabolic disorders due to melatonin suppression, such as night shift workers. The ELSA-Brasil cohort consumed ~65% of TEI from unprocessed or minimally processed foods [42], while the participants of the present study consumed ~50%. Even though melatonin supplementation did not change the contribution of this type of food to TEI, factors influencing eating behavior still need to be better understood. According to Gupta et al. [45], another interplay that still needs to be better understood is the role of obesity on food choices. Evidence suggests that consuming unprocessed or minimally processed foods regularly has a protective effect against metabolic disorders [46]. In this context, the low intake of this type of foods by specific groups, such as shift workers, deserves attention in future studies concerning diet.
Excessive weight is primarily caused by a positive energy balance, that is, a state in which energy intake is higher than its expenditure [47]. However, the female night workers with excessive weight participating in our study consumed an average of 900 kcal/day less than their EER. Previous studies have shown that insufficient sleep resulted in increased energy intake, while adequate sleep decreased energy intake [48,49]. Our hypothesis on this topic is that energy intake would be higher than energy requirements due to circadian misalignment, and that melatonin administration might be able to mitigate the adverse metabolic effects of night work [50,51]. However, this hypothesis was not confirmed either and more studies are needed.

4.2. No Effects of Melatonin Supplementation on Food Intake in Association with Circadian Misalignment or Chronotype

Our findings in the present study showed melatonin administration had no effect on quali/quantitative aspects of the diet in female night workers with excessive weight, independent of their chronotype or level of circadian misalignment. A recent clinical trial published by our research group showed that 12 weeks of melatonin administration reduced circadian misalignment by 21% in the same cohort of female excessive night workers from the present study [24]. These results from our previous study led us to believe that greater changes in eating behavior would be more relevant in people who reduced their level of circadian misalignment, but this did not occur in the present study. This reinforces the aforementioned information that melatonin’s effects on energy metabolism, which has been postulated in the literature [20], can occur independently of food intake [52].
Regarding an interplay between melatonin administration, chronotype, and food intake, we hypothesized that morning individuals would benefit the most from the intervention since this chronotype has been associated with high circadian misalignment [24]. However, this hypothesis was not confirmed. Moreover, our previous study [24] showed that the administration reduced the body weight of the early chronotypes—the ones that suffer all the adverse effects of night work the most [8]. In this context, it is reasonable to assume that these individuals would respond differently to the intervention in comparison to the vespertine ones, but this hypothesis was not confirmed either. More randomized clinical trials are needed to confirm our findings.

4.3. Limitations and Strengths

The present study has some limitations. The same dosage of melatonin was administered to all participants, but melatonin’s metabolism has interindividual variations. The response to artificial light exposure at night also varies, leading to lower or higher melatonin suppression according to individual sensitivity and light intensity [53]. Hence, pharmaceutical formulation and dosage of exogenous melatonin could be individually considered [54]. Another possible limitation is that, although the participants were instructed to record food intake on typical days, it is not possible to guarantee that the records truly reflect their dietary behaviors in everyday life. It is also important to mention that the participants had the option of a nutritionist-planned dinner provided by the hospital. In addition, all units had a pantry in which they could store food brought in from outside the hospital, as well as have meals. This particular reality can influence the results obtained with regard to eating habits. Lastly, assessments of appetite-regulating hormones, i.e., leptin and ghrelin, might contribute toward understanding the lack of effect of melatonin administration on meal timing. However, these assessments were not performed in this study.
On the other hand, there are some strengths to be highlighted. A significant advantage of the present clinical trial is that, even though studies on pharmacokinetics in humans are limited, exogenous melatonin has shown to be safe and lacks adverse effects in comparison to placebo [54]. Additionally, fewer studies have employed within-subject comparisons and collected data regarding workdays and days off [42,55,56]. Lastly, assessing the dietary habits of female night workers with excessive weight in real-life conditions is one of the main strengths of the study. The qualitative aspect of the diet, especially, has been generally neglected in experimental studies [33] and adds important knowledge on the eating behaviors of this specific population.

5. Conclusions

The present study showed that the eating habits of female night workers with excessive weight remained unchanged after 12 weeks of intermittent exogenous melatonin administration. Circadian misalignment and chronotype did not interfere with these results. These results suggest that the metabolic effects of melatonin may occur independently of total energy intake, macronutrient distribution, food processing level, and temporal distribution of food intake.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu14163420/s1, Figure S1: Study flow chart.

Author Contributions

L.F.R.N.: Conceptualization, data curation, formal analysis, investigation, methodology, visualization, writing—original draft, writing—review and editing. C.A.C.: Writing—review and editing. J.C.-N.: Funding acquisition, project administration, resources, writing—review and editing. C.R.d.C.M.: Conceptualization, methodology, writing—review and editing. E.C.M.: Conceptualization, data curation, investigation, methodology, project administration, resources, supervision, writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by CAPES, grant number 88887.356981/2019-00; FAPESP, grant number 2014/50457-0; and CNPq, grant number 150781/2017-2.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of the School of Public Health of the University of São Paulo (protocol 2.450.682, 20 December 2017) and the Ethics Committee of the Oswaldo Cruz German Hospital (protocol 2.489.636, 7 February 2018).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study. Written informed consent has been obtained from the patient(s) to publish this paper.

Data Availability Statement

The data presented in this study are available on request from the corresponding authors. The data are not publicly available due to privacy and ethical reasons.

Acknowledgments

The authors would like to thank the hospital staff and the funding agencies.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Buijs, R.M.; Kalsbeek, A. Hypothalamic integration of central and peripheral clocks. Nat. Rev. Neurosci. 2001, 2, 521–526. [Google Scholar] [CrossRef] [PubMed]
  2. Albrecht, U. Timing to Perfection: The Biology of Central and Peripheral Circadian Clocks. Neuron 2012, 74, 246–260. [Google Scholar] [CrossRef] [PubMed]
  3. Bodur, M.; Baspinar, B.; Özçelik, A.Ö. A cross-sectional evaluation of the relationship between social jetlag and diet quality. Chronobiol. Int. 2021, 38, 1557–1568. [Google Scholar] [CrossRef]
  4. Rusu, A.; Ciobanu, D.; Vonica, C.L.; Bala, C.; Mocan, A.; Sima, D. Chronic disruption of circadian rhythm with mistimed sleep and appetite-an exploratory research. Chronobiol. Int. 2021, 38, 807–816. [Google Scholar] [CrossRef] [PubMed]
  5. Dashti, H.S.; Merino, J.; Lane, J.M.; Song, Y.; Smith, C.E.; Tanaka, T.; McKeown, N.M.; Tucker, C.; Sun, D.; Bartz, T.M.; et al. Genome-wide association study of breakfast skipping links clock regulation with food timing. Am. J. Clin. Nutr. 2019, 110, 473–484. [Google Scholar] [CrossRef]
  6. Richter, J.; Herzog, N.; Janka, S.; Baumann, T.; Kistenmacher, A.; Oltmanns, K.M. Twice as High Diet-Induced Thermogenesis after Breakfast vs Dinner on High-Calorie as Well as Low-Calorie Meals. Int. J. Clin. Endocrinol. Metab. 2020, 105, e211–e221. [Google Scholar] [CrossRef]
  7. Atkinson, G.; Fullick, S.; Grindey, C.; Maclarem, D. Exercise, energy balance and the shift worker. Sports Med. 2008, 38, 671–685. [Google Scholar] [CrossRef]
  8. Akerstedt, T.; Wright, K.P., Jr. Sleep loss and fatigue in shift work and shift work disorder. Sleep Med. Clin. 2009, 4, 257–271. [Google Scholar] [CrossRef]
  9. Alterman, T.; Luckhaupt, S.E.; Dahlhamer, J.M.; Ward, B.W.; Calvert, G.M. Prevalence rates of work organization characteristics among workers in the U.S.: Data from the 2010 National Health Interview Survey. Am. J. Ind. Med. 2013, 56, 647–659. [Google Scholar] [CrossRef]
  10. Fischer, F.M.; Moreno, C.R.C.; Rotenberg, L. Trabalho em Turnos e Noturno na Sociedade 24 Horas; Atheneu: São Paulo, Brazil, 2004. [Google Scholar]
  11. Statistics Canada. Work-life balance of shift workers. Perspectives 2008, 9, 5–16. [Google Scholar]
  12. Zerón-Rugerio, M.; Hernáez, Á.; Porras-Loaiza, A.P.; Cambras, T.; Izquierdo-Pulido, M. Eating Jet Lag: A Marker of the Variability in Meal Timing and Its Association with Body Mass Index. Nutrients 2019, 11, 2980. [Google Scholar] [CrossRef] [PubMed]
  13. McHill, A.W.; Melanson, E.L.; Higgins, J.; Connick, E.; Moehlman, T.M.; Stothard, E.R.; Wright, K.P., Jr. Impact of circadian misalignment on energy metabolism during simulated nightshift work. Proc. Natl. Acad. Sci. USA 2014, 111, 17302–17307. [Google Scholar] [CrossRef]
  14. Baron, K.G.; Reid, K.J.; Kern, A.S.; Zee, P.C. Role of sleep timing in caloric intake and BMI. Obesity 2011, 19, 1374–1381. [Google Scholar] [CrossRef] [PubMed]
  15. Maukonen, M.; Kanerva, N.; Partonen, T.; Kronholm, E.; Tapanainen, H.; Kontto, J.; Männistö, S. Chronotype differences in timing of energy and macronutrient intakes: A population-based study in adults. Obesity 2017, 25, 608–615. [Google Scholar] [CrossRef] [PubMed]
  16. Mazri, F.H.; Manaf, Z.A.; Shahar, S.; Ludin, A.F.M. The Association between Chronotype and Dietary Pattern among Adults: A Scoping Review. Int. J. Environ. Res. Public Health 2019, 17, 68. [Google Scholar] [CrossRef]
  17. Hulsegge, G.; Picavet, H.S.J.; van der Beek, A.J.; Verschuren, W.M.M.; Twisk, J.W.; Proper, K.I. Shift work, chronotype and the risk of cardiometabolic risk factors. Eur. J. Public Health 2019, 29, 128–134. [Google Scholar] [CrossRef]
  18. Vetter, C. Circadian disruption: What do we actually mean? Eur. J. Neurosci. 2020, 51, 531–550. [Google Scholar] [CrossRef]
  19. Phoi, Y.Y.; Rogers, M.; Bonham, M.P.; Dorrian, J.; Coates, A.M. A scoping review of chronotype and temporal patterns of eating of adults: Tools used, findings, and future directions. Nutr. Res. Rev. 2021, 35, 112–135. [Google Scholar] [CrossRef]
  20. Amaral, F.G.; Cipolla-Neto, J. A brief review about melatonin, a pineal hormone. Arch. Endocrinol. Metab. 2018, 62, 472–479. [Google Scholar] [CrossRef]
  21. Garaulet, M.; Qian, J.; Florez, J.C.; Arendt, J.; Saxena, R.; Scheer, F.A.J.L. Melatonin Effects on Glucose Metabolism: Time to Unlock the Controversy. Trends Endocrinol. Metab. 2020, 31, 192–204. [Google Scholar] [CrossRef]
  22. Sack, R.L.; Lewy, A.J. Melatonin as a chronobiotic: Treatment of circadian desynchrony in night workers and the blind. J. Biol. Rhythm. 1997, 12, 595–603. [Google Scholar] [CrossRef] [PubMed]
  23. Folkard, S.; Arendt, J.; Clark, M. Can melatonin improve shift workers’ tolerance of the night shift? Some preliminary findings. Chronobiol. Int. 1993, 10, 315–320. [Google Scholar] [CrossRef] [PubMed]
  24. Marqueze, E.C.; Nogueira, L.F.R.; Vetter, C.; Skene, D.J.; Cipolla-Neto, J.; Moreno, C.R.C. Exogenous melatonin decreases circadian misalignment and body weight among early types. J. Pineal Res. 2021, 71, e12750. [Google Scholar] [CrossRef] [PubMed]
  25. Isherwood, C.M.; van der Veen, D.R.; Johnston, J.D.; Skene, D.J. Twenty-four-hour rhythmicity of circulating metabolites: Effect of body mass and type 2 diabetes. FASEB 2017, 31, 5557–5567. [Google Scholar] [CrossRef]
  26. Wehrens, S.M.T.; Christou, S.; Isherwood, C.; Middleton, B.; Gibbs, M.A.; Archer, S.N.; Skene, D.J.; Johnston, J.D. Meal Timing Regulates the Human Circadian System. Curr. Biol. 2017, 27, 1768–1775.e3. [Google Scholar] [CrossRef]
  27. Silva, L.E.S.; Oliveira, M.M.; Stopa, S.R.; Gouvea, E.C.D.P.; Ferreira, K.R.D.; Santos, R.O.; Valença Neto, P.F.; Macário, E.M.; Sardinha, L.M.V. Temporal trend of overweight and obesity prevalence among Brazilian adults, according to sociodemographic characteristics, 2006–2019. Epidemiol. Serv. Saude 2021, 30, e2020294. [Google Scholar] [CrossRef]
  28. ASchwiter, K.; Nentwich, J.; Keller, M. Male privilege revisited: How men in female-dominated occupations notice and actively reframe privilege. Gender Work Organ. 2021, 28, 2199–2215. [Google Scholar] [CrossRef]
  29. Emens, J.S.; Burgess, H.J. Effect of Light and Melatonin and Other Melatonin Receptor Agonists on Human Circadian Physiology. Sleep Med. Clin. 2015, 10, 435–453. [Google Scholar] [CrossRef]
  30. Ma, X.; Idle, J.R.; Krausz, K.W.; Gonzalez, F.J. Metabolism of melatonin by human cytochromes p450. Drug Metab. Dispos. 2005, 33, 489–494. [Google Scholar] [CrossRef]
  31. Pinheiro, A.B.V.; Lacerda, E.M.A.; Benzecry, E.H.; Gomes, M.C.S.; Costa, V.M. Tabela Para Avaliação de Consumo Alimentar em Medidas Caseiras, 4th ed.; Atheneu: São Paulo, Brazil, 2000. [Google Scholar]
  32. NEPA-UNICAMP. Tabela Brasileira de Composição de Alimentos-TACO, 4th ed.; NEPA-UNICAMP: Campinas, Brazil, 2011. [Google Scholar]
  33. Monteiro, C.A.; Cannon, G.; Lawrence, M.; Louzada, M.L.C.; Machado, P.P. Ultra-Processed Foods, Diet Quality, and Health Using the NOVA Classification System; FAO: Rome, Italy, 2019. [Google Scholar]
  34. Fischer, D.; Vetter, C.; Roenneberg, T. A novel method to visualize and quantify circadian misalignment. Sci. Rep. 2016, 6, 38601. [Google Scholar] [CrossRef]
  35. Juda, M.; Vetter, C.; Roenneberg, T. The Munich ChronoType Questionnaire for shift-workers (MCTQshift). J. Biol. Rhythm. 2013, 28, 130–140. [Google Scholar] [CrossRef] [PubMed]
  36. Lohman, T.G.; Roche, A.F.; Martorell, R. Anthropometric Standardization Reference Manual; Human Kinetics Books: Champaign, IL, USA, 1988. [Google Scholar]
  37. Trumbo, P.; Schlicker, S.; Yates, A.A.; Poos, M.; Food and Nutrition Board of the Institute of Medicine; The National Academies. Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein and amino acids. J. Am. Diet. Assoc. 2002, 102, 1621–1630. [Google Scholar] [CrossRef]
  38. Schulz, K.F.; Altman, D.G.; Moher, D.; for the CONSORT Group. CONSORT 2010 statement: Updated guidelines for reporting parallel group randomized trials. PLoS Med. 2010, 7, e1000251. [Google Scholar] [CrossRef] [PubMed]
  39. Nogueira, L.F.R.; Marqueze, E.C. Effects of melatonin supplementation on eating habits and appetite-regulating hormones: A systematic review of randomized controlled clinical and preclinical trials. Chronobiol. Int. 2021, 38, 1089–1102. [Google Scholar] [CrossRef]
  40. Bahrami, M.; Cheraghpour, M.; Jafarirad, S.; Avalinejad, P.; Cheraghian, B. The role of melatonin supplement in metabolic syndrome: A randomized double blind clinical trial. Food Sci. Nutr. 2019, 49, 965–977. [Google Scholar] [CrossRef]
  41. Frank, S.; Christopher, J.M.; Steven, A.S. The internal circadian clock increases hunger and appetite in the evening independent of food intake and other behaviors. Obesity 2013, 21, 421–423. [Google Scholar]
  42. Della Torre, S.B.; Wild, P.; Dorribo, V.; Danuser, B.; Amati, F. Energy, nutrient and food intakes of male shift workers vary according to the schedule type but not the number of nights worked. Nutrients 2020, 12, 919. [Google Scholar] [CrossRef]
  43. Silva, F.M.; Giatti, L.; Figueiredo, R.C.; Molina, M.C.B.; Cardoso, L.O.; Duncan, B.B.; Barreto, S.M. Consumption of ultra-processed food and obesity: Cross sectional results from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort (2008–2010). Public Health Nutr. 2018, 21, 2271–2279. [Google Scholar] [CrossRef]
  44. Shechter, A.; O’Keeffe, M.; Roberts, A.L.; Zammit, G.K.; Choudhury, A.R.; St-Onge, M.P. Alterations in sleep architecture in response to experimental sleep curtailment are associated with signs of positive energy balance. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2012, 303, R883–R889. [Google Scholar] [CrossRef]
  45. Gupta, C.C.; Coates, A.M.; Dorrian, J.; Banks, S. The factors influencing the eating behaviour of shiftworkers: What, when, where and why. Ind. Health 2019, 57, 419–453. [Google Scholar] [CrossRef]
  46. World Health Organization. Diet, Nutrition and the Prevention of Chronic Diseases. Report of a Joint WHO/FAO Expert Consultation; WHO Technical Report Series, n. 916; World Health Organization: Geneva, Switzerland, 2003. [Google Scholar]
  47. Webber, J. Energy balance in obesity. Proc. Nutr. Soc. 2003, 62, 539–543. [Google Scholar] [CrossRef] [PubMed]
  48. Levine, J.A. Measurement of energy expenditure. Public Health Nutr. 2005, 8, 1123–1132. [Google Scholar] [CrossRef] [PubMed]
  49. Markwald, R.R.; Melanson, E.L.; Smith, M.R.; Higgins, J.; Perreault, L.; Eckel, R.H.; Wright, K.P., Jr. Impact of insufficient sleep on total daily energy expenditure, food intake, and weight gain. Proc. Natl. Acad. Sci. USA 2013, 110, 5695–5700. [Google Scholar] [CrossRef]
  50. Cipolla-Neto, J.; Amaral, F.G.; Afeche, S.C.; Tan, D.X.; Reiter, R.J. Melatonin, energy metabolism, and obesity: A review. J. Pineal Res. 2014, 56, 371–381. [Google Scholar] [CrossRef] [PubMed]
  51. Flanagan, A.; Lowson, E.; Arber, S.; Griffin, B.A.; Skene, D.J. Dietary patterns of nurses on rotational shifts are marked by redistribution of energy into the nightshift. Nutrients 2020, 12, 1053. [Google Scholar] [CrossRef]
  52. Amaral, F.G.D.; Andrade-Silva, J.; Kuwabara, W.M.T.; Cipolla-Neto, J. New insights into the function of melatonin and its role in metabolic disturbances. Expert Rev. Endocrinol. Metab. 2019, 14, 293–300. [Google Scholar] [CrossRef]
  53. Phillips, A.J.K.; Vidafar, P.; Burns, A.C.; Mcglashan, E.M.; Anderson, C.; Rajaratnam, S.M.W.; Lockley, S.W.; Cain, S.W. High sensitivity and interindividual variability in the response of the human circadian system to evening light. Proc. Natl. Acad. Sci. USA 2019, 116, 12019–12024. [Google Scholar] [CrossRef]
  54. Cipolla-Neto, J.; Amaral, F.G. Melatonin as a hormone: New physiological and clinical insights. Endocr. Rev. 2018, 39, 990–1028. [Google Scholar] [CrossRef]
  55. Lowden, A.; Moreno, C.; Holmbäck, U.; Lennernäs, M.; Tucker, P. Eating and shift work-effects on habits, metabolism and performance. Scand. J. Work Environ. Health 2010, 36, 150–162. [Google Scholar] [CrossRef]
  56. Wong, H.; Wong, M.C.; Wong, S.Y.; Lee, A. The association between shift duty and abnormal eating behavior among nurses working in a major hospital: A cross-sectional study. Int. J. Nurs. Stud. 2010, 47, 1021–1027. [Google Scholar] [CrossRef]
Nutrients 14 03420 g001 550
Figure 1. Estimated energy requirements and total caloric intake after melatonin and placebo administration. EER: estimated energy requirement. The dashed line represents the mean EER (kcal/day) of the participants. No food intake was recorded in the diaries after placebo administration for participants 4 and 14, and after melatonin administration for participant 22.
Figure 1. Estimated energy requirements and total caloric intake after melatonin and placebo administration. EER: estimated energy requirement. The dashed line represents the mean EER (kcal/day) of the participants. No food intake was recorded in the diaries after placebo administration for participants 4 and 14, and after melatonin administration for participant 22.
Nutrients 14 03420 g001
Nutrients 14 03420 g002a 550Nutrients 14 03420 g002b 550
Figure 2. Temporal distribution of food intake after melatonin and placebo administration. Vertical lines represent standard error of mean. (a) Energy, (b) Carbohydrate, (c) Fat, and (d) Protein.
Figure 2. Temporal distribution of food intake after melatonin and placebo administration. Vertical lines represent standard error of mean. (a) Energy, (b) Carbohydrate, (c) Fat, and (d) Protein.
Nutrients 14 03420 g002aNutrients 14 03420 g002b
Table
Table 1. Participants’ characteristics at baseline (n = 27).
Table 1. Participants’ characteristics at baseline (n = 27).
Variablesn (%) or Mean ± SE
Age (years)37.1 ± 0.6
Marital status (married)17.0 (63.0)
Current position (nursing technician)14.0 (51.9)
Education level (complete or incomplete graduation)16.0 (59.2)
Lifetime exposure to night work (years)9.1 ± 0.7
The main reason to work at night (reconcile work with home and/or children’s care)11.0 (40.7)
Second job (yes)2.0 (7.4)
Smoking (no)27.0 (100.0)
Alcohol intake (only on special occasions)17.0 (63.0)
Physical activity (none)17.0 (63.0)
BMI (kg/m2)29.8 ± 0.4
CPD (hours)2.9 ± 0.2
Chronotype (hours)3.3 ± 0.2
BMI: body mass index; CPD: composite phase deviations.
Table
Table 2. Effect of melatonin and placebo administration on the quali/quantitative aspects of the diet.
Table 2. Effect of melatonin and placebo administration on the quali/quantitative aspects of the diet.
VariablesMean ± SEEffects (p)Goodness of Fit ***
% TEI *MelatoninPlaceboIntervention **
Qualitative aspect
Unprocessed or minimally processed foods49.2 ± 3.252.6 ± 3.50.1712.1
Processed foods15.3 ± 1.913.1 ± 1.80.4323.5
Ultra-processed foods34.7 ± 2.434.8 ± 3.20.9815.2
Quantitative aspect
Carbohydrate46 ± 9.744.6 ± 9.00.8910.4
Protein20.7 ± 10.221.3 ± 10.00.6713.9
Fat32.1 ± 7.933.1 ± 8.00.8013.6
* Total energy intake. ** Means of the effect of melatonin and placebo administration, respectively, in association with CPD: unprocessed or minimally processed foods: 49.9 ± 9.1, 50.1 ± 9.8, p = 0.27; processed foods: 14.3 ± 5.0, 14.1 ± 5.2, p = 0.33; ultra-processed foods: 34.8 ± 4.9, 34.9 ± 8.1, p = 0.95; carbohydrate: 46.5 ± 10.9, 44.6 ± 10.5, p = 0.95; protein: 20.9 ± 12.2, 20.4 ± 10.7, p = 0.60; fat: 31.8 ± 10.7, 34.4 ± 11.8, p = 0.56. Means of the effect of melatonin and placebo administration, respectively, in association with chronotype: unprocessed or minimally processed foods: 49.1 ± 9.3, 52.6 ± 9.8, p = 0.22; processed foods: 15.4 ± 6.4, 13 ± 4.4, p = 0.62; ultra-processed foods: 34.6 ± 7, 34.9 ± 7.9, p = 0.14; carbohydrate: 46 ± 3.9, 44.7 ± 5, p = 0.56; protein: 20.7 ± 3.6, 21.3 ± 4.2, p = 0.48; fat: 32.1 ± 3.6, 33 ± 2.7, p = 0.81. *** Quasi-likelihood under independence model criterion (QIC) of interaction. All models are adjusted by lifetime exposure to night work (years).
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Nogueira, L.F.R.; Crispim, C.A.; Cipolla-Neto, J.; de Castro Moreno, C.R.; Marqueze, E.C. The Effect of Exogenous Melatonin on Eating Habits of Female Night Workers with Excessive Weight. Nutrients 2022, 14, 3420. https://doi.org/10.3390/nu14163420

AMA Style

Nogueira LFR, Crispim CA, Cipolla-Neto J, de Castro Moreno CR, Marqueze EC. The Effect of Exogenous Melatonin on Eating Habits of Female Night Workers with Excessive Weight. Nutrients. 2022; 14(16):3420. https://doi.org/10.3390/nu14163420

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Nogueira, Luciana Fidalgo Ramos, Cibele Aparecida Crispim, José Cipolla-Neto, Claudia Roberta de Castro Moreno, and Elaine Cristina Marqueze. 2022. "The Effect of Exogenous Melatonin on Eating Habits of Female Night Workers with Excessive Weight" Nutrients 14, no. 16: 3420. https://doi.org/10.3390/nu14163420

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