Longo-Silva Giovana, Serenini Renan, Pedrosa Anny, Lima Márcia, Soares Larissa, Melo Júlia, Menezes Risia
Research Group 'Chronobiology, Nutrition and Health', Faculty of Nutrition, Federal University of Alagoas, Brazil.
European PhD in Socio-Economic and Statistical Studies, Faculty of Economics, Sapienza University of Rome, Italy.
Endocrinol Diabetes Nutr (Engl Ed). 2025 Jan;72(1):4-13. doi: 10.1016/j.endien.2024.12.006.
In recent years, the focus of research on obesity and its management has expanded beyond traditional dietary factors to include the timing of food intake - in relation to the body's circadian rhythms - known as chrononutrition. However, chrononutrition patterns remain largely unexplored in low-medium income countries. Our study aimed to investigate the association between chrononutrition patterns and BMI.
Utilizing data from the virtual Survey SONAR-Brazil (n=2137,18-65 y), we defined the following chrononutrition patterns: 1. The clock time of the first, mid, and last eating events; 2. Morning and evening latencies (from wake-up time until the first eating event, and from the last eating event until bedtime); and 3. Eating window. Linear regression analyses assessed associations between chrononutrition variables and BMI. Quantile regression and restricted cubic splines were used to explore distributional correlations and association shapes.
Among all participants, BMI increased with each additional hour of the first eating event (β=0.17; 95% CI, 0.05,0.29; P=0.005), morning latency (β=0.27; 95% CI, 0.12,0.42; P<0.001), and eating midpoint (β=0.21; 95% CI, 0.05,0.38; P=0.01) and the effect was even stronger with higher BMI percentiles. There was no effect of eating times among intermediate and late chronotypes. However, among early types, positive associations were seen between the BMI and the timing of the first eating event, morning latency, and eating midpoint, as well as a negative association with evening eating.
Our findings suggest that delaying the first eating event, the eating midpoint, and extending morning latency are associated with higher BMI, particularly in early chronotypes. These results highlight the importance of aligning eating patterns with chronotypes and support personalized dietary recommendations.
近年来,肥胖及其管理的研究重点已从传统饮食因素扩展到包括与人体昼夜节律相关的进食时间,即所谓的时间营养学。然而,中低收入国家的时间营养模式在很大程度上仍未得到探索。我们的研究旨在调查时间营养模式与体重指数(BMI)之间的关联。
利用来自巴西虚拟调查SONAR(n = 2137,年龄18 - 65岁)的数据,我们定义了以下时间营养模式:1. 第一餐、中餐和最后一餐的进食时间;2. 早晨和晚上的延迟时间(从醒来时间到第一餐的时间,以及从最后一餐到就寝时间);3. 进食窗口。线性回归分析评估了时间营养变量与BMI之间的关联。分位数回归和受限立方样条用于探索分布相关性和关联形状。
在所有参与者中,随着第一餐进食时间每增加一小时(β = 0.17;95%置信区间,0.05,0.29;P = 0.005)、早晨延迟时间(β = 0.27;95%置信区间,0.12,0.42;P < 0.001)和进食中点时间(β = 0.21;95%置信区间,0.05,0.38;P = 0.01),BMI都会增加,并且在较高的BMI百分位数时这种影响更强。在中间型和晚型生物钟类型中,进食时间没有影响。然而,在早型生物钟类型中,BMI与第一餐进食时间、早晨延迟时间和进食中点时间呈正相关,与晚餐进食呈负相关。
我们的研究结果表明,推迟第一餐进食时间、进食中点时间以及延长早晨延迟时间与较高的BMI相关,特别是在早型生物钟类型中。这些结果凸显了使进食模式与生物钟类型相匹配的重要性,并支持个性化的饮食建议。