Late eating and shortened fasting are associated with higher ultra-processed food intake across all age groups: a population-based study.

IF 4.3 2区 医学 Q2 NUTRITION & DIETETICS European Journal of Nutrition Pub Date : 2025-03-21 DOI:10.1007/s00394-025-03633-w
Cibele A Crispim, Catarina M Azeredo, Ana E M Rinaldi, Alexessander Couto Alves, Debra J Skene, Claudia R C Moreno
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引用次数: 0

Abstract

Purpose: 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.

Methods: 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).

Results: 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.

Conclusion: 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.

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一项基于人群的研究表明,在所有年龄组中,晚吃饭和禁食时间缩短与超加工食品摄入量增加有关。
目的:全球饮食模式越来越多地受到超加工食品的驱动——廉价、美味和即食的选择。探索与时间相关的饮食模式及其与超加工食品的关系可能有助于干预工作,但关于这一主题的知识仍然有限。这项研究评估了与时间相关的饮食模式与不同人生阶段的未加工/最低加工和超加工食品消费之间的关系。方法:从巴西一个具有全国代表性的样本中进行两次24小时食品召回(巴西家庭预算调查,POF, 2017-2018;N = 46,164)用于估计首次和最后一次摄入时间、进食中点、热量中点时间和夜间禁食(自变量)的分位数。所有食用的食物都按照Nova分类系统进行分类,研究的结果是未加工/最低加工和超加工食品的消费。对所有个体进行多元线性回归模型,并对每个年龄组进行分层:青少年(10-19岁,n = 8469)、成人(20-59岁,n = 29,332)和老年人(≥60岁,n = 8322)。结果:首次进食时间、最后一次进食时间、热量中点、进食中点与超加工食品消费呈正相关(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),并与未加工或最低限度加工食品的消费负相关(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),与第一个“较早”的五分位数(参考文献)相比。与夜间禁食呈负相关(β=-1.74, 95%CI=-2.28, -1.22和β= 1.52, 95%CI= 0.98, 2.06),分别为超加工和未加工/最低加工食品。这些关联在所有年龄组中都是一致的。结论:在所有年龄组中,以摄入时间较晚和夜间禁食时间缩短为特征的时间营养模式与超加工食品的高消费量和未加工/最低加工食品的低摄入量有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.20
自引率
2.00%
发文量
295
审稿时长
6 months
期刊介绍: The European Journal of Nutrition publishes original papers, reviews, and short communications in the nutritional sciences. The manuscripts submitted to the European Journal of Nutrition should have their major focus on the impact of nutrients and non-nutrients on immunology and inflammation, gene expression, metabolism, chronic diseases, or carcinogenesis, or a major focus on epidemiology, including intervention studies with healthy subjects and with patients, biofunctionality of food and food components, or the impact of diet on the environment.
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