Higher eating frequency is associated with lower adiposity and robust circadian rhythms: a cross-sectional study (original) (raw)
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Circadian rhythms and meal timing: impact on energy balance and body weight
Current Opinion in Biotechnology, 2021
Energy metabolism and appetite regulating hormones follow circadian rhythms which, when disrupted, could lead to adverse metabolic consequences. Such circadian misalignment, a mismatch between endogenous circadian rhythms and behavior, is most severely experienced by shift workers, due to nighttime wake, daytime sleep, and eating at night. However, circadian misalignment is not restricted to shift workers; milder shifts in sleep and mealtimes, termed social and eating jetlag, are highly prevalent in the general population. Social and eating jetlag result in later mealtimes, which may promote positive energy balance and weight gain. Earlier meal timing, specific to individual endogenous circadian patterns, could serve to reduce cardiometabolic disease burden and aid in weight loss and interventions should be done to test this.
Nutrients, 2019
The timing of caloric intake is a risk factor for excess weight and disease. Growing evidence suggests, however, that the impact of caloric consumption on metabolic health depends on its circadian phase, not clock hour. The objective of the current study was to identify how individuals consume calories and macronutrients relative to circadian phase in real-world settings. Young adults (n = 106; aged 19 ± 1 years; 45 females) photographically recorded the timing and content of all calories for seven consecutive days using a smartphone application during a 30-day study. Circadian phase was determined from in-laboratory assessment of dim-light melatonin onset (DLMO). Meals were assigned a circadian phase relative to each participant’s DLMO (0°, ~23:17 h) and binned into 60° bins. Lean (n = 68; 15 females) and non-lean (n = 38, 30 females) body composition was determined via bioelectrical impedance. The DLMO time range was ~10 h, allowing separation of clock time and circadian phase. Ea...
Behavioral circadian phenotypes are associated with the risk of elevated body mass index
Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, 2021
Background: Metabolic dysfunction and obesity rates are on the rise. While the central modes of circadian disruption has been studied in relation to the risk of obesity, the role of eating time has remained unclear. Here, we aimed to assess circadian behavioral phenotypes and their association with the risk of elevated body mass index (BMI). Methods: This was a prospective cross-sectional study of individuals presenting for colorectal cancer screening colonoscopy. Participants completed demographic questionnaires, The Munich ChronoType Questionnaire (MCTQ), and Food Timing Screener (FTS). The primary outcome of the study was the association between circadian phenotypes and elevated BMI. Results: A total of 488 individuals completed the survey, with a mean (SD) age of 57.5 (10.8) years. The mean body mass index (BMI) was 28.8 (6.1) kg/m 2 , with 72.3% of individuals met criteria for elevated BMI. Four circadian behavioral phenotypes were generated: early chronotype with regular food timing (ER) (34.7%), early chronotype with irregular food timing (EI) (11.7%), intermediate/late chronotype with regular food timing (LR) (33.9%), and intermediate/ late chronotype with irregular food timing (LI) (19.7%). In a multivariable regression analysis, LI phenotype had 2.9 times higher odds of elevated BMI compared to ER phenotype (OR 2.9, 95% CI 1.3-6.7, P=0.01). Conclusion: The combination of late chronotype and irregular food timing, representative of a behavioral circadian rhythm disruption, is associated with higher rates of elevated BMI. The majority of individuals with this abnormal circadian phenotype were younger than 60 years old. This observation is especially relevant because of the ongoing rise in the obesity rates among young adults.
Zanjan University of Medical Sciences, 2019
Article Info ABSTRACT 10.30699/jambs.27.124.31 Background & Objective: Recent studies have shown a relationship between energy regulation and the circadian rhythm at behavioral, molecular, and physiological levels. The present study investigated the effect of chronotype on meal timing and obesity in Iranian housewives. Materials & Methods: This cross-sectional study was carried out using a convenience-sampling method through the participation of housewives living in Ahvaz in 2018. Anthropometric information was collected. To assess food intake timing, energy intake and sleep patterns during seven days of normal living were recorded by the researchers. Dietary information was obtained by using a 24-hour recall questionnaire and analyzed by NUT IV software. The morningness-eveningness questionnaire (MEQ) was used to determine chronotypes. Results: There was a significant difference between the morning and evening groups in terms of the timing of lunch (P=0.004) and mid-afternoon snacks (P=0.04). There was no significant difference between mean energy intake in the morning and evening chronotypes in women who were overweight or obese (P=0.31). There was also no significant difference between morning and evening chronotypes in terms of the percentage of energy intake of meals and snacks (P>0.05). The only significant difference, detected between morning and evening chronotypes in normal-weight women, was for the percentage of energy intake after 3:00 PM. (P=0.008). Conclusion: The present study showed no effect of chronotype on obesity. However, energy intake calculations were based on self-reports, which could lead to information bias. Therefore, in future studies, researchers should carry out clinical trials while controlling food intake and considering meal timing.
Advances in Nutrition
The timing and nutritional composition of food intake are important zeitgebers for the biological clocks in humans. Thus, eating at an inappropriate time, e.g., during the night, may have a desynchronizing effect on the biological clocks and in the long-term, may result in adverse health outcomes e.g., weight gain, obesity, and poor metabolic function. Being a very late or early chronotype not only determine preferred sleep- and wake-times but may also influence subsequent mealtimes which may impact the circadian timing system. In recent years, an increased number of studies have examined the relationship between chronotype and health outcomes, with a main focus on absolute food intake and metabolic markers, and to a lesser extent, on dietary intake distribution and eating behavior. Therefore, this scoping review aimed to systematically determine whether chronotype indirectly impacts eating behaviors, dietary intake (timing, choice, nutrients), and biomarkers leading to body composi...
The Big Breakfast Study: Chrono-nutrition influence on energy expenditure and bodyweight
Nutrition Bulletin, 2018
A growing body of evidence highlights the importance of the biological clock as a modulator of energy balance and metabolism. Recent studies in humans have shown that ingested calories are apparently utilised more efficiently in the morning than in the evening and this is manifest through improved weight loss, even under iso-energetic calorie intake. The mechanisms behind this enhanced morning energy metabolism are not yet clear, although it may result from behavioural adaptations or circadian driven variations in physiology and energy metabolism. A major objective of the newly funded Big Breakfast Study therefore is to investigate the mechanistic basis of this amplified morning thermogenesis leading to enhanced weight loss, by exploring behavioural and physiological adaptations in energy expenditure alongside the underlying circadian biology. This report briefly discusses the current research linking meal timing, circadian rhythms and metabolism; highlights the research gaps; and provides an overview of the studies being undertaken as part of the Medical Research Council-funded Big Breakfast Study.
Nutrients, 2021
Background: Chronotype is the pattern of the circadian rhythm that allows an individual to optimize times of sleep and activity. It has been observed that chronotypes may associate with some conditions and diseases, including obesity. It is not known, however, whether chronotypes determine the effectiveness of weight loss regimens. Therefore, in the present study, we compared the outcomes of a 3-week moderate calorie restriction undertaken by individuals with obesity under the same controlled hospital conditions. Methods: A total of 131 participants with obesity (median BMI 40.0) were studied. The subjects underwent the same dietary intervention over 3 weeks, with a 30% reduction in daily caloric intake. The individual chronotypes were assessed by the morning and evening questionnaire (MEQ) according to Horne and Östberg. Anthropometric and biochemical parameters were assessed by routine methods. Results: Of all patients examined, 75% had the morning (lark) chronotype and 25% had th...
The Impact of Time of Day on Energy Expenditure: Implications for Long-Term Energy Balance
Nutrients
There is evidence to indicate that the central biological clock (i.e., our endogenous circadian system) plays a role in physiological processes in the body that impact energy regulation and metabolism. Cross-sectional data suggest that energy consumption later in the day and during the night is associated with weight gain. These findings have led to speculation that when, as well as what, we eat may be important for maintaining energy balance. Emerging literature suggests that prioritising energy intake to earlier during the day may help with body weight maintenance. Evidence from tightly controlled acute experimental studies indicates a disparity in the body’s ability to utilise (expend) energy equally across the day and night. Energy expenditure both at rest (resting metabolic rate) and after eating (thermic effect of food) is typically more efficient earlier during the day. In this review, we discuss the key evidence for a circadian pattern in energy utilisation and balance, whic...
Advances in Obesity, Weight Management & Control, 2017
Obesity, an epidemic health concern that related with high levels of worldwide morbidity and mortality levels, showed marked increase to last years. Studies focus on the factors leading such rise to make effective and long lasting intervensions intended for obesity. Decreased nightly sleep duration,compared to the past century,is considered as one of these factors and studies emphasize the relation between changing sleep patterns and obesity and accompanying health disorders as impaired glucose metabolism, cardiovascular diseases,type 2 diabetes mellitus, hypertension those also have high prevelances. Current thesis was created in the form of literature review with the articles those taken from Pubmed and Science Direct especially were published after 2010 to comply with the aim of demonstrating the association of sleep with obesity and mentioned health disorders, basic mechanisms undelying this association and factors affecting the functioning of these mechanism.
International journal of environmental research and public health, 2016
Body weight is regulated by energy intake which occurs several times a day in humans. In this meta-analysis, we evaluated whether eating frequency (EF) is associated with obesity risk and energy intake in adults without any dietary restriction. Experimental and observational studies published before July 2015 were selected through English-language literature searches in several databases. These studies reported the association between EF and obesity risk (odd ratios, ORs) in adults who were not in dietary restriction. R software was used to perform statistical analyses. Ten cross-sectional studies, consisting of 65,742 participants, were included in this analysis. ORs were considered as effect size for the analysis about the effect of EF on obesity risk. Results showed that the increase of EF was associated with 0.83 time lower odds of obesity (i.e., OR = 0.83, 95% confidence intervals (CI) 0.70-0.99, p = 0.040). Analysis about the effect of EF on differences in participants' en...