Association between sleep duration and quality with food intake, chrononutrition patterns, and weight gain during pregnancy.

To analyse the association between sleep duration and quality with food intake, chrononutrition patterns, and weight gain during pregnancy. A prospective cohort study was conducted with 100 pregnant women. Data collection occurred once during each gestational trimester. The assessment of sleep quality and duration was performed using the Pittsburgh Sleep Quality Index. Food intake was assessed using three 24-h recalls in each trimester. Body weight was measured during the three trimesters, and height was measured only once to calculate the BMI. Linear regression analyses were performed to associate sleep duration and quality with food consumption and weight gain variables. Longer sleep duration was associated with a later dinner in the first trimester (ß = 0·228, P = 0·025) and earlier in the third trimester (ß = -0·223, P = 0·026), in addition to a later morning snack in the second trimester (ß = 0·315, P = 0·026). Worse sleep quality was associated with higher total energy intake (ß = 0·243, P = 0·044), total fat (ß = 0·291, P = 0·015) and the chrononutrition variables such as a higher number of meals (ß = 0·252, P = 0·037), higher energetic midpoint (ß = 0·243, P = 0·044) and shorter fasting time (ß = -0·255, P = 0·034) in the third trimester. Sleep quality was also associated with a higher BMI in the first trimester of pregnancy (ß = 0·420, P = < 0·001). Most of the associations found in the present study show that poor sleep is associated with higher energy and fat intake and higher BMI. Longer sleep duration was associated with a later dinner in early pregnancy and an earlier dinner in late pregnancy, as well as with a later morning snack in the second trimester of pregnancy.

Is the Caloric Midpoint Associated with Food Cravings and Food Intake in Pregnant Women?

Objective: The field of chrononutrition suggests that mealtime can influence food intake. Previous studies have linked the caloric midpoint - defined as the time at which 50% of the daily energy is consumed - with different aspects of food consumption. However, its relationship with food craving remains unexplored. This cross-sectional study aimed to investigate the association between caloric midpoint, food craving, and food consumption in pregnant women.Methods: The study comprised 233 pregnant women classified as early eaters (caloric midpoint ≤ 1:00pm) and late eaters (caloric midpoint >1:00pm). Food craving were assessed using Food Craving Trait and State Questionnaires. Energy and nutrient intake, as well as mealtimes, were assessed using a 24-h food recall.Results: No association between caloric midpoint and food craving was found. However, late eaters consumed more calories (2039.47 kcal vs 1843.44 kcal; p < 0.001), carbohydrates (255.06 g vs 211.12 g; p = 0.002), total fat (73.1 g vs 64.8 g; p = 0.003), monounsaturated fat (21.33 mg vs 18.59 mg; p = 0.002) and saturated fat (24.37 mg vs 22.21 mh; p = 0.01) and had higher consumption of calories and macronutrients in the first (calories: 275.63 vs 213.41, p = 0.007; carbohydrate: 170.42 vs 142.54, p = 0.01; total fat: 56.49 vs 50.17, p = 0.04) and second (calories: 213.21 vs 151.59, p = 0.04; carbohydrate: 130.44 vs 96.6, p = 0.04; protein: 15.17 vs 13.71, p = 0.03) afternoon snack, dinner (calories: 576.89 vs 412.4, p < 0.001; carbohydrate: 230.76 vs 169.45, p < 0.001; protein: 80.48 vs 68.9, p = 0.02; total fat: 212.77 vs 147.12, p < 0.001) and late-night snack (calories: 135.75 vs 68.3, p = 0.04; total fat: 13.23 vs 22.45, p = 0.04) than early eaters.Conclusion: Pregnant women who concentrate their meals at later times consumed more calories, macro and micronutrients throughout the day and in the night meals when compared to early eaters.

Eating time variation from weekdays to weekends and its association with dietary intake and BMI in different chronotypes: findings from National Health and Nutrition Examination Survey (NHANES) 2017-2018.

Evidence suggests that differences in meal timing between weekends and weekdays can disrupt the body's circadian rhythm, leading to a higher BMI. We aimed to investigate the associations between mealtime variation from weekdays to weekends (eating midpoint jetlag), dietary intake and anthropometric parameters, based on individuals' chronotype. The study utilised data from National Health and Nutrition Examination Survey 2017-2018. Food consumption was estimated by weighted average of participants' food intake on weekdays and weekends. Eating midpoint jetlag, defined as the difference between the midpoint of the first and last mealtimes on weekends and weekdays, was calculated. Chronotype was assessed by participants' mid-sleep time on weekends, adjusted for sleep debt. Linear regression analysis was conducted to investigate the associations between variables. The sample was categorised into chronotype tertiles. Among individuals in the third chronotype tertile, there was a positive association between eating midpoint jetlag and BMI (ß = 1·2; 95 % CI (1·13, 1·27)). Individuals in the first tertile showed a positive association between eating midpoint jetlag and energy (ß = 96·9; 95 % CI (92·9, 101·7)), carbohydrate (ß = 11·96; 95 % CI (11·2, 12·6)), fat (ß = 3·69; 95 % CI (3·4, 3·8)), cholesterol (ß = 32·75; 95 % CI (30·9, 34·6)) and sugar (ß = 8·84; 95 % CI (8·3, 9·3)) intake on weekends. Among individuals with an evening tendency, delaying meals on weekends appears to be linked to a higher BMI. Conversely, among individuals with a morning tendency, eating meals later on weekends is associated with higher energetic intake on weekends.

Late meal intake is associated with abdominal obesity and metabolic disorders related to metabolic syndrome: A chrononutrition approach using data from NHANES 2015-2018.

BACKGROUND & AIMS: Chrononutrition is an emerging area that suggests that late eating time is associated with poor nutritional and metabolic outcomes. However, epidemiological studies are scarce on this topic. The aim of this study was to characterize the chrononutrition patterns in a large and representative US population (NHANES 2015-2016 and 2017-2018) of adults and elderly and investigate their association with obesity and metabolic disorders that make up the metabolic syndrome. METHODS: A total of 7379 adults and elderly individuals were included in the analysis. Meal timing data were collected through two 24-h dietary recalls in both cycles. Poisson regression adjusted for confounders was used to evaluate the association between chrononutrition variables (eating duration and tertiles of first and last meal timing, eating midpoint and eating occasions) and obesity, abdominal obesity and metabolic parameters from metabolic syndrome. RESULTS: Adults with a longer eating duration (>12 h) had a higher prevalence of abdominal obesity (IRR, 1.15; 95% CI, 1.03-1.28) when compared with those who ate their meals in a shorter eating duration (≤12 h). In addition, adults in the third tertile of the time of the last meal (mean 22:03) had a higher prevalence of abdominal obesity (IRR, 1.12; 95% CI, 1.01-1.25) compared to first tertile. Adults with later eating midpoints (second and third tertile) had a higher prevalence of elevated fasting glucose (IRR, 1.30; 95% CI, 1.07-1.59 and IRR, 1.65; 95% CI, 1.22-2.22, respectively). Among the elderly, participants with a longer eating duration (>12 h) had a higher prevalence of elevated triglycerides (IRR, 2.74; 95% CI, 1.25-5.96) when compared with those elderly who ate their meals in a shorter eating duration (≤12 h). CONCLUSION: These findings suggest that a long eating duration and late first and last meal timing are chrononutrition patterns associated with cardiometabolic risks in free-living Americans.

Is chronotype associated with dietary intake and weight gain during pregnancy? A prospective and longitudinal study.

OBJECTIVES: The effects of chronotype on dietary intake and weight gain during pregnancy have not been addressed in the literature. The aim of this study was to analyze the effect of chronotype on eating patterns, energy, and macronutrient intake and distribution, as well as weight gain during pregnancy. METHODS: This was a prospective cohort study carried out with 100 pregnant women in the first, second, and third gestational trimesters. Dietary intake was assessed by three 24-h dietary recalls in each trimester, totaling nine recalls. Energy and macronutrient intake and distribution were evaluated at meals throughout the day. Chronotype was derived from midsleep time on free days, and the scores obtained were categorized into tertiles. Recommendations from the Institute of Medicine were used to assess the adequacy of weight gain. Generalized estimating equation models were used to determine the effects of chronotype and gestational trimester on eating patterns, daily energy, macronutrient distribution, and weight gain. RESULTS: Pregnant women with values for midsleep time on free days indicative of eveningness have breakfast later and also have higher energy and carbohydrate intake at dinner than "morning" women. Pregnant "morning" women showed better diet quality in terms of milk and dairy and saturated fat. Also, despite the tendency for all tertiles to gain excess weight during pregnancy, we found that pregnant women with a tendency to eveningness had worse adequacy of gestational weight gain in the third trimester than "morning" women (2.24 ± 0.25 versus 1.22 ± 0.14, P < 0.001). CONCLUSION: Pregnant women with a tendency to eveningness consume breakfast later in the day and exhibit greater consumption of energy and carbohydrates in the evening, as well as a worse standard of gestational weight gain in the third trimester. Our results emphasize the importance of considering chrononutrition variables in prenatal nutritional guidelines to promote maternal and fetal health.

Circadian misalignment measured by social jetlag from early to late pregnancy and its association with nutritional status: a longitudinal study.

A mismatch between circadian and social clocks leads to a circadian misalignment, which has been widely measured by social jetlag (SJL). There are several studies measuring SJL, but it has not been studied in pregnant women. Therefore, this study aimed to identify the occurrence of SJL throughout pregnancy and to verify whether there is an effect of pre-pregnancy body mass index (BMI) on SJL throughout pregnancy. The baseline of the present study was conducted with 205 1st trimester pregnant women of whom 100 were followed in their 2nd and 3rd trimester. SJL was calculated based on the absolute difference between mid-sleep time on workdays versus work-free days. The pre-pregnancy BMI and current BMI (kg/m2) were calculated. Linear regression and Generalised Estimating Equation (GEE) adjusted for confounders were used to determine the association between SJL and the gestational trimesters (time), and anthropometric variables. Most of the pregnant women (54.5%) presented SJL > 1 h in the first gestational trimester. We also found an isolated effect of the gestation trimester on the SJL mean. In this sense, pregnant women had a decrease in SJL from the second to the third trimester (1.33 ± 0.08 versus 1.12 ± 0.07, respectively; p = 0.012). GEE analyzes showed that pregnant women of a normal weight showed a decrease in SJL from the second to the third trimester (1.29 ± 0.11 and 0.93 ± 0.08, respectively, p = 0.032), but this was not found in the other groups of nutritional status (underweight, overweight and obesity). In addition, a positive association between SJL and pre-gestational BMI in the third trimester (ß = 0.200, p = 0.046) was found. SJL is quite prevalent during the gestational period and excessive BMI both before and during pregnancy is associated with an increased risk of having SJL > 1 h in the third and second trimesters, respectively. In addition, pregnant women of normal weight-but not underweight or overweight-had decreased SJL from the second to the third trimester.

Higher energy intake at night effects daily energy distribution and contributes to excessive weight gain during pregnancy.

OBJECTIVE: The aim of this study was to analyze the effect of nighttime energy intake on daily energy and macronutrient distribution and weight gain during pregnancy. METHODS: This was a prospective cohort study carried out with 100 pregnant women and the data collection occurred once per trimester. A dietary intake was assessed by three 24-h dietary recalls in each trimester, totaling nine dietary recalls. The distribution of energy and macronutrient intake was evaluated at meals throughout the day in each trimester and overall pregnancy. Women were classified as having "lower" or "higher" nighttime intake (1900 to 0559) if consumption in this period were below or above the median of the population, respectively, for at least two trimesters. Recommendations from the Institute of Medicine were used to assess the adequacy of weight gain. Generalized estimating equation models were used to determine the effects of nighttime intake and gestational trimesters on daily energy distribution and weight gain. RESULTS: In overall pregnancy, the higher group consumed a higher percentage of energy and macronutrients in the evening meals, and less energy, proteins, and lipids in morning meals when compared with the lower group. Also, women in the higher group had greater excessive weight gain in the third trimester compared with the lower group. CONCLUSION: Pregnant women with a higher energy intake at night had a lower percentage of energy, protein, and lipid intake in morning meals and a higher percentage of energy and macronutrient intake in the evening meals during pregnancy. A worse standard of gestational weight gain in the third trimester was also observed in pregnant women with a higher energy intake at night.

Effects of timing of food intake on eating patterns, diet quality and weight gain during pregnancy.

Studies have suggested that meal timing plays a role in nutritional health, but this subject has not been sufficiently studied in pregnant women. We analysed the effect that timing of food intake has on eating patterns, diet quality and weight gain in a prospective cohort study with 100 pregnant women. Data were collected once per trimester: 4th-12th, 20th-26th and 30th-37th weeks. Food intake was evaluated using three 24-h dietary recalls, which were used to assess eating patterns and diet quality. Distribution of energy and macronutrient intake throughout the day was considered eating patterns. Diet quality was assessed using the Brazilian Healthy Eating Index-Revised. Weight gain was evaluated during each trimester. Women were classified as early or late timing of the first and last eating episodes if these values were below or above the median of the population, respectively (first eating episode = 08.38 hours; last eating episode = 20.20 hours). Generalised estimating equation models adjusted for confounders were used to determine the effects of timing of the first and last eating episodes (groups) and gestational trimesters (time) (independent variable) on eating patterns, diet quality and weight gain (dependent variables). Early eaters of the first eating episode have a higher percentage of energy and carbohydrate intake in morning and a lower at evening meals. They also have a better diet quality for fruit components when compared with late eaters of the first eating episode. Our results emphasise the importance of considering meal timing in the nutritional antenatal guidelines to promote maternal-fetal health.

Caloric midpoint is associated with total calorie and macronutrient intake and body mass index in undergraduate students.

Studies have suggested that eating at later times may be a risk factor for being overweight. The aim of this study was to investigate the association of caloric midpoint on the anthropometric profile and calorie and macronutrient intake during the day. The study included 718 Brazilian undergraduate students (20.5 ± 2.9 years old; 67% women). Dietary intake was assessed by 24-h recall and the diurnal variation of calorie consumption was evaluated by caloric midpoint average time at which 50% of daily energy were consumed. Participants were classified into two groups according to caloric midpoint median; early eaters (caloric midpoint ≤ 3:00 pm) or late eaters (caloric midpoint > 3:00 pm). Body weight and waist circumference were measured and body mass index (BMI) was determined. Generalized linear models adjusted for confounding variables were used to determine the association between variables. The late eaters presented higher BMI when compared to early eaters (23.0 kg/m2 ± 0.3 vs. 22.1 kg/m2 ± 0.2, respectively; p = .02). Late eaters reported a higher total daily consumption of energy (p < .001) and proportion consumed after 9:00 pm (p < .001), as well as total daily carbohydrate (p < .001), protein (p < .001), fat (p < .001), saturated fat (p < .001), and cholesterol (p = .04) intake when compared with early eaters. We conclude that concentrating food intake later in the day is associated with higher total energy and macronutrient intake as well as a higher average BMI.

Time-related eating patterns and chronotype are associated with diet quality in pregnant women.

Animal studies strongly suggest that timed feeding can have beneficial physiological effects, including protection against the obesogenic and metabolic consequences of a high-fat diet. However, the relationship between variables related to the timing of eating and diet quality in pregnancy women, which is considered as a period of nutritional vulnerability, is still poorly described in the literature. Therefore, the aim of the present study was to investigate the associations between time-related eating patterns and chronotype with diet quality of pregnant women. This cross-sectional study was conducted with 100 pregnant women in the first gestational trimester (≤12 weeks of gestation). The information regarding food intake was obtained by three 24-Hour Dietary Recall (24HR). Time-related eating patterns, i.e., the interval between the first and the last meal (eating duration), nightly fasting, time of the first and last meals, and number of meals eating on a day were determined. Chronotype was derived using the mid-sleep time on free days on weekends, with a further correction for calculated sleep debt. Diet quality was evaluated using the Brazilian Healthy Eating Index-Revised (BHEI-R), validated for the Brazilian population. Linear regression modeling analyses adjusted for confounders were used to investigate the association between time-related eating patterns and chronotype with diet quality. The BHEI-R total score was negatively associated with time of the first meal (ß =  -0.355; p = 0.002; r2 adjusted = 0.141), and positively associated with eating duration (ß = 0.262; p = 0.024; r2 adjusted = 0.086) and number of meals (ß = 0.273; p = 0.019; r2 adjusted = 0.091). In addition, the score of total fruit component was negatively associated with chronotype (ß = -0.236; p = 0.033; r2 adjusted = 0.078), time of the first meal (ß = -0.393; p = 0.001; r2 adjusted = 0.171), and positively associated with eating duration (ß = 0.259; p = 0.022; r2 adjusted = 0.087) and number of meals (ß = 0.376; p = 0.001; r2 adjusted = 0.159). The score for whole fruit component was negatively associated with time of the first meal (ß = -0.388; p = 0.001; r2 adjusted = 0.152), and positively associated with number of meals (ß = 0.403; p = 0.001; r2 adjusted = 0.164). A longer eating duration, earlier time of the first meal, higher number of meals and morningness tendency are associated with a better diet quality in the first gestational trimester - higher scores of the total BHEI-R and/or fruit components. We suggest that nutritional guidelines should consider time-related eating patterns and chronotype to ensure good diet quality of pregnant women since the beginning of gestation, contributing on prevention of metabolic-nutritional complications.

Eveningness is associated with skipping breakfast and poor nutritional intake in Brazilian undergraduate students.

Some studies have proposed that self-reported eveningness, which reflects the preference of performing activities in the evening, may harm nutritional health and influence the eating behavior and nutritional status of individuals. However, the relationship between these variables (eveningness and nutritional status) and the consumption of breakfast, which is currently considered a marker of health, has been insufficiently explored by studies. The aim of this study was to investigate, in undergraduate students, the association between diurnal preference, being overweight, and food consumption (with special focus on breakfast). The study included 721 undergraduate students from a Brazilian public university. Dietary intake was assessed by 24-hour food recall, and the usual time for breakfast was identified. Body weight, height, and waist circumference were measured by trained researchers. Diurnal preference was determined by the Horne and Ostberg questionnaire validated for the Brazilian population, and the participants were classified into three categories: evening (coefficient: 16-41), intermediate type (coefficient: 42-58) or morning type (coefficient: 59-86). The prevalence of skipping breakfast was higher among the evening types (p = 0.02), when compared with morning and intermediate types. A negative association between the diurnal preference coefficient and total caloric (coefficient -0.25, p = 0.007, r2 adjusted = 0.12), carbohydrate (coefficient -0.19, p = -0.04, r2 adjusted = 0.04) and lipid intake (coefficient -0.18, p = 0.04, r2 adjusted = 0.05) was also found in the breakfast skippers but not in breakfast eaters. In other words, breakfast skippers with diurnal preference values indicative of eveningness consumed more calories, carbohydrates and fats. Evening types presented significant odds of skipping breakfast (OR = 1.7, CI = 1.1-2.9, p = 0.02) when compared with morning and intermediate chronotypes. We conclude that eveningness is associated with skipping breakfast and a higher consumption of calories, carbohydrates and fats in breakfast skippers. These eating behaviors may predispose these individuals to being overweight.