Is time of eating associated with BMI and obesity? A population-based study.

PURPOSE: Time-related eating patterns have been associated with metabolic and nutritional diseases such as obesity. However, there is a lack of representative studies on this subject. This study's aim was to assess the association between the timing of eating and obesity in a large and representative sample of the Brazilian adult population (POF 2008-2009 survey). METHODS: Two days of adults' food diary (n = 21,020) were used to estimate tertiles of first and last meal intake times, eating midpoint, caloric midpoint time, and calories consumed from 18:00 h onwards. BMI was estimated and its values, as well as excess weight (BMI ≥ 25 kg/m2) and obesity (BMI ≥ 30 kg/m2) were used as outcomes. Multiple linear and logistic regressions were performed. RESULTS: The first (ß = 0.65, 95% CI 0.37-0.93) and last food intake time (ß = 0.40, 95% CI 0.14-0.66), eating midpoint (ß = 0.61, 95% CI 0.34-0.88) and calories consumed after 21:00 h (ß = 0.74, 95% CI 0.32-1.16) and 22:00 h (ß = 0.75, 95% CI 0.18-1.32) were positively associated with BMI. The likelihood of having excess weight or obesity was significantly higher in the third tertile of the first food intake time (OR = 1.28, 95% CI 1.13-1.45 and OR = 1.34, 95% CI 1.13-1.58, respectively), last food intake time (OR = 1.16, 95% CI 1.03-1.32; and OR = 1.18, 95% CI 1.00-1.41, respectively), eating midpoint (OR = 1.28, 95% CI 1.13-1.45; and OR = 1.35, 95% CI 1.14-1.59, respectively) and energy consumption after 21:00 h (OR = 1.33, 95% CI 1.10-1.59). CONCLUSION: Chrononutrition meal patterns indicative of late meal intake were significantly associated with high BMI, excess weight and obesity in the Brazilian population.

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.

Time-restricted eating and circadian rhythms: the biological clock is ticking.

Meal timing may be a critical modulator of health outcomes due to complex interactions between circadian biology, nutrition and human metabolism. As such, approaches that aim to align food consumption with endogenous circadian rhythms are emerging in recent years. Time-restricted eating (TRE) consists of limiting daily nutrient consumption to a period of 4 to 12 hours in order to extend the time spent in the fasted state. TRE can induce positive effects on the health of individuals with overweight and obesity, including sustained weight loss, improvement in sleep patterns, reduction in blood pressure and oxidative stress markers and increased insulin sensitivity. However, it is not fully clear whether positive effects of TRE are due to reduced energy intake, body weight or the truncation of the daily eating window. In addition, null effects of TRE in some populations and on some parameters of cardiometabolic health have been documented. Some evidence indicates that greater promotion of health via TRE may be achieved if the nutrient intake period occurs earlier in the day. Despite some promise of this dietary strategy, the effects of performing TRE at different times of the day on human cardiometabolic health, as well as the safety and efficacy of this dietary approach in individuals with cardiometabolic impairments, need to be evaluated in additional controlled and long-term studies.

Impact of Shift Work on the Eating Pattern, Physical Activity and Daytime Sleepiness Among Chilean Healthcare Workers.

We evaluated the eating pattern, physical activity, and daytime sleepiness level in Chilean shift workers. Fifty, middle-aged adult health workers from a public hospital in Santiago, Chile, were included: a group undergoing shift work (shift workers, including at least one "night shift" and one "long day", n = 33), and day workers under traditional schedule (from 8:00 to 17:00h, n = 17). Body composition, physical activity, and daytime sleepiness levels, and diet characteristics (diet composition, meals' timing, and diet quality) were assessed. Despite similar total energy intake, shift worker showed lower carbohydrate (% of energy) and higher protein intake (both P < 0.01), decreased diet quality, an irregular eating pattern, and delayed meal timing (all P < 0.05). Physical activity and daytime sleepiness levels did not differ between groups. Findings from this first Chilean study in healthcare shift workers support the fact that meal timing and diet quality appear as critical factors for upcoming intervention studies in this group.

A High-Protein Meal during a Night Shift Does Not Improve Postprandial Metabolic Response the Following Breakfast: A Randomized Crossover Study with Night Workers.

The aim of this study was to compare the acute effect of a high-protein/moderate carbohydrate (HP-MCHO) versus low-protein/high-carbohydrate (LP-HCHO) meal served at night on the postprandial metabolic response of male night workers the following breakfast. A randomized crossover study was performed with 14 male night workers (40.9 ± 8.9 years old; 29.1 ± 5.3 kg/m2). Participants underwent two different isocaloric dietary conditions at 1:00 h of the night shift: HP-MCHO (45 en% carbohydrate, 35 en% protein and 20 en% fat) and LP-HCHO (65 en% carbohydrate, 15 en% protein and 20 en% fat). Postprandial capillary glucose levels were determined immediately before the intake of the test meal and 30, 60, 90 and 120 min after the end of the meal. At the end of the work shift (6:30 h), participants received a standard breakfast and postprandial levels of glucose, insulin and triglycerides were determined immediately before and then every 30 min for 2 h (30, 60, 90 and 120 min). Higher values of capillary glucose were found after the LP-HCHO condition compared to the HP-MCHO condition (area under the curve (AUC) = 119.46 ± 1.49 mg/dL × min and 102.95 ± 1.28 mg/dL × min, respectively; p < 0.001). For the metabolic response to standard breakfast as the following meal, no significant differences in glucose, insulin, triglyceride, and HOMA-IR levels were found between interventions. A night meal with a higher percentage of protein and a lower percentage of carbohydrate led to minor postprandial glucose levels during the night shift but exerted no effect on the metabolic response of the following meal. This trial was registered at ClinicalTrials.gov as NCT03456219.

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.

Eating Behavior (Duration, Content, and Timing) Among Workers Living under Different Levels of Urbanization.

Urbanization has contributed to extended wakefulness, which may in turn be associated with eating over a longer period. Here, we present a field study conducted in four groups with different work hours and places of living in order to investigate eating behavior (duration, content, and timing). Anthropometric measures were taken from the participants (rural (n = 22); town (n = 19); city-day workers (n = 11); city-night workers (n = 14)). In addition, a sociodemographic questionnaire was self-answered and 24-h food recalls were applied for three days. The 24-h food recalls revealed that fat intake varied according to the groups, with the highest consumption by the city-day workers. By contrast, city-day workers had the lowest intake of carbohydrate, whereas the rural group had the highest. In general, all groups had some degree of inadequacy in food consumption. Eating duration was negatively correlated with total energy intake, fat, and protein consumption in the rural and town groups. There was a positive correlation between body mass index and eating duration in both city groups. The rural group had the earliest start time of eating, and this was associated with a lower body mass index. This study suggested that food content and timing, as well as eating duration, differed according to place of living, which in turn may be linked to lifestyle.

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.

Eating Late Negatively Affects Sleep Pattern and Apnea Severity in Individuals With Sleep Apnea.

STUDY OBJECTIVES: This study aimed to analyze the association between habitual meal timing and sleep parameters, as well as habitual meal timing and apnea severity in individuals with obstructive sleep apnea (OSA). METHODS: Patients in whom mild to severe OSA was diagnosed were included in the study (n = 296). Sleep parameters were analyzed by polysomnography. Dietary pattern was obtained by a food frequency questionnaire and meal timing of the participants. Individuals with OSA were categorized by meal timing (early, late, and skippers). RESULTS: Dinner timing was associated with sleep latency (ß = 0.130, P = .022), apnea-hypopnea index (AHI) (ß = 1.284, P = .033) and poor sleep quality (ß = 1.140, P = .015). Breakfast timing was associated with wake after sleep onset (WASO) (ß = 3.567, P = .003), stage N1 sleep (ß = 0.130, P < .001), and stage R sleep (ß = -1.189, P = .001). Lunch timing also was associated with stage N1 sleep (ß = 0.095, P = .025), sleep latency (ß = 0.293, P = .001), and daytime sleepiness (ß = 1.267, P = .009). Compared to early eaters, late eaters presented lower duration of stage R sleep and greater values of sleep latency, WASO, stage N1 sleep, and AHI, in addition to increased risk of poor sleep quality and daytime sleepiness (P < .005). CONCLUSIONS: Late meal timing was associated with worse sleep pattern and quality and apnea severity than early meal timing. Despite some of these results having limited clinical significance, they can lead to a better understanding about how meal timing affects OSA and sleep parameters.

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.

Effects of Experimental Sleep Restriction on Weight Gain, Caloric Intake, and Meal Timing in Healthy Adults.

STUDY OBJECTIVES: Examine sleep restriction's effects on weight gain, daily caloric intake, and meal timing. DESIGN: Repeated-measures experiments assessing body weight at admittance and discharge in all subjects (N = 225) and caloric intake and meal timing across days following 2 baseline nights, 5 sleep restriction nights and 2 recovery nights or across days following control condition nights in a subset of subjects (n = 37). SETTING: Controlled laboratory environment. PARTICIPANTS: Two hundred twenty-five healthy adults aged 22-50 y (n = 198 sleep-restricted subjects; n = 31 with caloric intake data; n = 27 control subjects; n = 6 with caloric intake data). INTERVENTIONS: Approximately 8-to-1 randomization to an experimental condition (including five consecutive nights of 4 h time in bed [TIB]/night, 04:00-08:00) or to a control condition (all nights 10 h TIB/night, 22:00-08:00). MEASUREMENTS AND RESULTS: Sleep-restricted subjects gained more weight (0.97 ± 1.4 kg) than control subjects (0.11 ± 1.9 kg; d = 0.51, P = 0.007). Among sleep-restricted subjects, African Americans gained more weight than Caucasians (d = 0.37, P = 0.003) and males gained more weight than females (d = 0.38, P = 0.004). Sleep-restricted subjects consumed extra calories (130.0 ± 43.0% of daily caloric requirement) during days with a delayed bedtime (04:00) compared with control subjects who did not consume extra calories (100.6 ± 11.4%; d = 0.94, P = 0.003) during corresponding days. In sleep-restricted subjects, increased daily caloric intake was due to more meals and the consumption of 552.9 ± 265.8 additional calories between 22:00-03:59. The percentage of calories derived from fat was greater during late-night hours (22:00-03:59, 33.0 ± 0.08%) compared to daytime (08:00-14:59, 28.2 ± 0.05%) and evening hours (15:00-21:59, 29.4 ± 0.06%; Ps < 0.05). CONCLUSIONS: In the largest, most diverse healthy sample studied to date under controlled laboratory conditions, sleep restriction promoted weight gain. Chronically sleep-restricted adults with late bedtimes may be more susceptible to weight gain due to greater daily caloric intake and the consumption of calories during late-night hours. CITATION: Spaeth AM; Dinges DF; Goel N. Effects of experimental sleep restriction on weight gain, caloric intake, and meal timing in healthy adults. SLEEP 2013;36(7):981-990.