Research Group 'Chronobiology, Nutrition, and Health', Faculty of Nutrition, Federal University of Alagoas, Maceió, Alagoas, Brazil.
European Ph.D. in Socio-Economic and Statistical Studies, Faculty of Economics, Sapienza University of Rome, Rome, Italy.
Clin Nutr ESPEN. 2024 Apr;60:179-186. doi: 10.1016/j.clnesp.2024.01.022. Epub 2024 Jan 24.
BACKGROUND AND AIMS: The circadian pattern of eating behaviors has garnered increasing interest as a strategy for obesity prevention and weight loss. It is believed that the benefits stem from aligning food intake with the body's natural daily rhythms. However, the existing body of evidence is limited in scale and scope and there has been insufficient evaluation of temporal eating behaviors, such as the specific time of day in which the highest calorie consumption occurs, meal frequency, and distribution. This research aims to explore the association between the timing of the largest meal of the day and eating frequency with Body Mass Index (BMI) and obesity. METHODS: Participants (n = 2050, 18-65y) were part of an exploratory cross-sectional and population-based research, with data collection in a virtual environment. Linear regression analyses and restricted cubic splines evaluated differences in BMI associated with independent eating variables [timing of the largest meal, number of meals/day (as continuous and categorical: ≤3 or >3/day), and each largest meal of the day (breakfast/lunch/dinner)]. Logistic regression models were fitted to assess Odds Ratios (OR) and 95 % Confidence Intervals (CI) of obesity associated with the same independent variables. RESULTS: Our main findings were that the timing of the largest meal and reporting dinner as the largest meal were associated with higher values of BMI (respectively, 0.07 kg/m and 0.85 kg/m) and increased odds of obesity [respectively OR(95%CI):1.04(1.01,1.08), and OR(95%CI):1.67(1.18,2.38)]. Those who realized more than 3 meals/day presented lower values of BMI (-0.14 kg/m) and 32 % lower odds of having obesity [OR(95%CI):0.68(0.52,0.89)]. Reporting lunch as the largest meal also protected against obesity [OR(95%CI):0.71(0.54,0.93)]. These associations were statistically significant and independent of sex, age, marital status, education level, diet quality, sleep duration, and weekly frequency of physical exercise. CONCLUSION: Having the largest meal earlier in the day, concentrating the majority of caloric intake during lunch, and consuming more than three meals a day, may present a promising intervention for preventing and treating obesity/overweight.
背景和目的:人们对饮食行为的昼夜节律越来越感兴趣,认为这是预防肥胖和减肥的一种策略。人们相信,这样做的好处源于使食物摄入与身体的自然昼夜节律保持一致。然而,现有证据的规模和范围有限,并且对时间性饮食行为(例如一天中卡路里摄入量最高的具体时间、进餐频率和分布)的评估还不够充分。本研究旨在探讨一天中最大餐的时间和进食频率与体重指数(BMI)和肥胖之间的关系。
方法:参与者(n=2050,18-65 岁)是一项探索性的横断面和基于人群的研究的一部分,数据是在虚拟环境中收集的。线性回归分析和限制性三次样条评估了与独立饮食变量[最大餐的时间、每天进餐次数(连续和分类:≤3 次或>3 次/天)和一天中的每餐(早餐/午餐/晚餐)]相关的 BMI 差异。拟合了 logistic 回归模型,以评估与相同独立变量相关的肥胖的优势比(OR)和 95%置信区间(CI)。
结果:我们的主要发现是,最大餐的时间和报告晚餐为最大餐与更高的 BMI 值(分别为 0.07kg/m 和 0.85kg/m)和肥胖的更高几率相关[分别为 OR(95%CI):1.04(1.01,1.08)和 OR(95%CI):1.67(1.18,2.38)]。每天进食超过 3 餐的人 BMI 值较低(-0.14kg/m),肥胖的几率降低 32%[OR(95%CI):0.68(0.52,0.89)]。报告午餐为最大餐也能预防肥胖[OR(95%CI):0.71(0.54,0.93)]。这些关联具有统计学意义,并且独立于性别、年龄、婚姻状况、教育水平、饮食质量、睡眠时长和每周体育锻炼频率。
结论:一天中较早时间吃最大餐、午餐时集中摄入大部分热量以及每天进食超过 3 餐,可能是预防和治疗肥胖/超重的一种很有前途的干预措施。
Clin Nutr ESPEN. 2024-4
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