Crispim Cibele A, Azeredo Catarina M, Rinaldi Ana E M, Alves Alexessander Couto, Skene Debra J, Moreno Claudia R C
Graduate Program in Health Sciences, Faculty of Medicine, Federal University of Uberlândia, Minas Gerais, Av. Pará, 1720, Bloco 2U, Sala 20. Campus Umuarama, Uberlândia, MG, 38405-320, Brazil.
Chronobiology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, UK.
Eur J Nutr. 2025 Mar 21;64(3):134. doi: 10.1007/s00394-025-03633-w.
Global dietary patterns are increasingly driven by ultra-processed foods-cheap, highly palatable, and ready-to-eat options. Exploring time-related eating patterns and its association with ultra-processed foods could help in intervention efforts, but knowledge on this topic is still limited. This study assessed the association of time-related eating patterns with unprocessed/minimally processed and ultra-processed food consumption across different life stages.
Two 24-hour food recalls from a nationally representative sample in Brazil (Brazilian Household Budget Survey, POF, 2017-2018; n = 46,164) were used to estimate tertiles of first and last intake times, eating midpoint, caloric midpoint time, and night fasting (independent variables). All consumed foods were classified according to the Nova classification system, and the outcomes of interest were consumption of unprocessed/minimally processed and ultra-processed foods. Multiple linear regression models were performed for all individuals and stratified for each age group: adolescents (10-19 years, n = 8,469), adults (20-59 years, n = 29,332), and older individuals (≥ 60 years, n = 8,322).
The later tertile of first food intake time, last food intake time, caloric midpoint, and eating midpoint were positively associated with consumption of ultra-processed foods (β = 3.69, 95%CI = 3.04, 4.34; β = 1.89, 95%CI = 1.32, 2.47; β = 5.20, 95%CI = 4.60, 5.81; β = 3.10, 95%CI = 2.49, 3.71, respectively) and negatively associated with consumption of unprocessed or minimally processed foods (β=-2.79, 95%CI=-3.37; -2.22; β=-1.65, 95%CI=-2.24, -1.05; β=-3.94, 95%CI=-4.44, -3.44; β=- 2.35, 95%CI=-2.93, -1.78, respectively) compared to the first "earlier" tertile (reference). An inverse association was found for night fasting (β=-1.74, 95%CI=-2.28, -1.22 and β = 1.52, 95%CI = 0.98, 2.06 for ultra-processed and unprocessed/minimally processed foods, respectively). These associations were consistent across all age groups.
Chrononutrition patterns characterized by late intake timing and shortened overnight fasting were associated with higher consumption of ultra-processed foods and lower intake of unprocessed/minimally processed foods across all age groups.
全球饮食模式越来越受到超加工食品的驱动,这类食品价格低廉、美味可口且即食。探索与时间相关的饮食模式及其与超加工食品的关联可能有助于干预措施的开展,但关于这一主题的知识仍然有限。本研究评估了不同生命阶段与时间相关的饮食模式与未加工/最少加工食品和超加工食品消费之间的关联。
利用来自巴西全国代表性样本(巴西家庭预算调查,POF,2017 - 2018;n = 46164)的两份24小时食物回忆来估计首次和末次进食时间、进食中点、热量中点时间以及夜间禁食(自变量)的三分位数。所有摄入的食物根据诺瓦分类系统进行分类,感兴趣的结果是未加工/最少加工食品和超加工食品的消费情况。对所有个体进行多元线性回归模型分析,并按每个年龄组进行分层:青少年(10 - 19岁,n = 8469)、成年人(20 - 59岁,n = 29332)和老年人(≥60岁,n = 8322)。
与第一个“较早”三分位数(参照)相比,首次食物摄入时间、末次食物摄入时间、热量中点和进食中点的较后三分位数与超加工食品的消费呈正相关(β = 3.69,95%置信区间 = 3.04,4.34;β = 1.89,95%置信区间 = 1.32,2.47;β = 5.20,95%置信区间 = 4.60,5.81;β = 3.10,95%置信区间 = 2.49,3.71),与未加工或最少加工食品的消费呈负相关(β = -2.79,95%置信区间 = -3.37,-2.22;β = -1.65,95%置信区间 = -2.24,-1.05;β = -3.94,95%置信区间 = -4.44,-3.44;β = -2.35,95%置信区间 = -2.93,-1.78)。夜间禁食呈负相关(超加工食品和未加工/最少加工食品的β分别为 -1.74,95%置信区间 = -2.28,-1.22和β = 1.52,95%置信区间 = 0.98,2.06)。这些关联在所有年龄组中都是一致的。
以进食时间晚和夜间禁食时间缩短为特征的时间营养学模式与所有年龄组中超加工食品的较高消费和未加工/最少加工食品的较低摄入有关。