Administration of Clinical Nutrition, King Abdullah Medical City, Makkah, Saudi Arabia.
The David Greenfield Human Physiology Unit, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Faculty of Medicine and Health Sciences, Nottingham, UK.
J Hum Nutr Diet. 2024 Feb;37(1):316-353. doi: 10.1111/jhn.13260. Epub 2023 Nov 28.
Meal pattern is a potential health determinant. Previously, mean values for properties of meal pattern, such as daily meal frequency, have been considered. Means, however, obscure variability between-day (irregular or chaotic eating). This systematic review aimed to identify and critique published methods used to characterise between-day variability in meal pattern, and to explore relationships between this and obesity, as well as associated health outcomes.
Using relevant databases, a systematic search was undertaken for studies with adults and children in which between-day variability in meal pattern was measured, and related to body weight, metabolic syndrome components and cognitive function.
In 34 papers identified (28 observational and six intervention studies), between-day variability in meal pattern was characterised by a variety of methods. These ranged from single questions about intake regularity to more complex methods quantifying the degree of variability. Assumptions were made, such as there being three main meals, resulting in dissociation from the "clock time" of eating. In 24 of the papers, between-day variability in meal pattern was associated with negative weight and health outcomes including higher weight, reduced thermogenic response to meals and poorer academic achievement.
Between-day variability in meal pattern is a promising research area that might inform low-cost public health interventions. However, current methods of characterising between-day variability tend to make assumptions and be inconsistent in the meal pattern properties considered. Well controlled dietary intervention studies are required to confirm causation.
饮食模式是一个潜在的健康决定因素。此前,人们已经考虑了饮食模式属性的平均值,如每日用餐频率。然而,平均值掩盖了日常饮食的不规律或混乱。本系统评价旨在确定和评价已发表的用于描述饮食模式日内变异性的方法,并探讨这种变异性与肥胖以及相关健康结果之间的关系。
使用相关数据库,对成年人和儿童的研究进行了系统检索,这些研究测量了饮食模式的日内变异性,并将其与体重、代谢综合征成分和认知功能相关联。
在确定的 34 篇论文中(28 项观察性研究和 6 项干预性研究),饮食模式的日内变异性通过各种方法进行了描述。这些方法从关于摄入规律的单一问题到更复杂的量化变异性程度的方法不等。做出了一些假设,例如存在三顿主要餐食,从而与进食的“时钟时间”分离。在 24 篇论文中,饮食模式的日内变异性与负面的体重和健康结果相关,包括体重增加、餐后热效应降低和学业成绩下降。
饮食模式的日内变异性是一个很有前途的研究领域,可能为低成本的公共卫生干预提供信息。然而,目前描述日内变异性的方法往往存在假设,并且考虑的饮食模式属性不一致。需要进行良好控制的饮食干预研究来确认因果关系。