Behavioral circadian phenotypes are associated with the risk of elevated body mass index

Association of late eating with colorectal adenomas: a cross-sectional study

PURPOSE

Colorectal cancer (CRC) is linked to lifestyle exposures. However, changes in the CRC rates among younger populations remain poorly understood and suggest the existence of yet unidentified factor(s) that may contribute to colon carcinogenesis. Here, we investigated the potential role of time of eating in the risk of pre-cancerous colonic neoplasms (tubular adenoma: TA).

METHODS

We enrolled 663 participants undergoing screening colonoscopies. Data on food timing, dietary intake, sleep/wake patterns, and chronotype were collected through structured questionnaires. Late eating was defined as the consumption of food or snack within a 3-hour window of sleep onset for at least four days a week. Pathology reports confirmed the histology of colonic polyps, and adenomas were further classified into risk categories.

RESULTS

A total of 644 patients met criteria for our study. There were 270 (42.2%) participants classified as late eaters. Compared to non-late eaters, the odds of TA were higher in late eaters (OR = 1.46, 95% CI = 1.05-2.03, p = 0.023), an association which was strengthened after adjusting for multiple confounders (OR 1.98, 95% CI 1.19-3.28, p = 0.008). Late eating remained an independent risk factor for high-risk as well as multiple TAs.

CONCLUSION

This study proposes late eating as a risk factor for colon tubular adenomas and underscores the potential role of less studied forms of circadian disruption imposed by time of eating in the development of colon neoplastic formation.

Associations between temporal eating patterns and body composition in young adults: a cross-sectional study

PURPOSE

The aim of this study was to examine the associations between body composition and temporal eating patterns, including time of first eating occasion, time of last eating occasion, eating window, and eating jet lag (the variability in meal timing between weekdays and weekends).

METHODS

A total of 131 participants were included in the study. Temporal eating pattern information was collected through consecutive 7-day eat timing questionnaires and photographic food records. Body composition was assessed by bioelectrical impedance analysis. Multiple linear regression models were used to evaluate the relationships of temporal eating patterns with body composition, and age was adjusted. Eating midpoint was additionally adjusted in the analysis of eating window.

RESULTS

On weekdays, both later first eating occasion and last eating occasion were associated with lower lean mass, and longer eating window was associated with lower body fat percentage. On weekends, both later first eating occasion and last eating occasion were associated with lower lean mass, and longer eating window was associated with higher FFMI. Longer first eating occasion jet lag was associated with lower lean mass.

CONCLUSION

Our study suggested that earlier and more regular eating patterns may have a benefit on body composition.

Association of Chrononutrition Indices with Anthropometric Parameters, Academic Performance, and Psychoemotional State of Adolescents: A Cross-Sectional Study

Adolescents are an at-risk group for circadian misalignment. The contribution of sleep-wake rhythm instability to the psychoemotional, cognitive, and weight disorders of adolescents has been studied in sufficient detail. At the same time, there is insufficient information about the association between chrononutrition indices and the well-being of adolescents. The aim of this study is to investigate the relationship between chrononutrition indices and academic achievement, psychoemotional state, and anthropometric indicators in adolescents. The study involved 12,759 students in grades 6-11 of secondary schools, aged 14.2 ± 1.7 years old; 57.2% of whom were girls. Participants provided personal data, frequency and time of meals during the day and at night, on weekdays and weekends, and completed the Zung Self-Rating Depression Scale and the Yale Food Addiction Scale. There is a U-shaped association between eating mid-phase (EPFc), eating jetlag (EJL), and eating window (EW) with GPA, ZSDSI, and FA. At the same time, the frequency of night eating (NE) is linearly associated with the studied parameters. NE is the strongest predictor of ZSDSI (β = 0.24), FA (β = 0.04), and GPA (β = -0.22). EPFc, EJL, and EW practically do not differ in the strength of their association with the studied indicators. ZSDSI is most closely associated with the chrononutrition indices. There is a weak negative association between BMI and EW (β = -0.03) and NE (β = -0.04). Thus, circadian eating disorders are more often observed in adolescents with poor academic performance, high levels of depression, and food addiction.

Inconsistent eating time is associated with obesity: A prospective study

Obesity is characterized by an accumulation of redundant body fat linked to metabolic dysregulation and low-grade systemic inflammation. Lifestyle choices are imperative determining factors of obesity. The contemporary lifestyle is associated with behaviors that disrupt circadian rhythms, impacting metabolic homeostasis. Our animal and human studies suggest that circadian phenotypes could be related to the risk of metabolic dysregulation and obesity. The purpose of this study is to examine the role of inconsistent eating habits on body weight in adults. Individuals who presented for colon cancer screening were enrolled. Subjects received structured questionnaires to capture 7-day eating and sleeping times in a week prospectively. Bodyweight and height were extracted from medical records, and Body Mass Index (BMI) was calculated. Inconsistent eating times were defined as an average difference of >2 hours between the largest meal on weekdays and weekends. Forty-nine of the 61 (80.3 %) individuals enrolled in the study completed the questionnaires. The mean age and standard deviation (SD) were 60.8 (7.9), and 27 (55.1 %) were male. Subjects with inconsistent eating times had a significantly higher BMI (33.8 ± 3.6 SD, n = 9) than subjects who did not (27.5 ± 6.5 SD, n = 40; p = 0.001). The highest BMI was observed in subjects who ate inconsistently and late (35.8 ± 4.6 SD). In this cross-sectional study, time of eating habits was associated with BMI. Controlled cohort studies are needed to determine the potential link between eating time and the risk of obesity in the long term.