Meal-timing patterns and chronic disease prevalence in two representative Austrian studies.

ABSTRACT:

Purpose

This study aimed at describing meal-timing patterns using cluster analysis and explore their association with sleep and chronic diseases, before and during COVID-19 mitigation measures in Austria.

Methods

Information was collected in two surveys in 2017 (N = 1004) and 2020 (N = 1010) in representative samples of the Austrian population. Timing of main meals, nighttime fasting interval, last-meal-to-bed time, breakfast skipping and eating midpoint were calculated using self-reported information. Cluster analysis was applied to identify meal-timing clusters. Multivariable-adjusted logistic regression models were used to study the association of meal-timing clusters with prevalence of chronic insomnia, depression, diabetes, hypertension, obesity and self-rated bad healt

SUBMITTER: Santonja I 

PROVIDER: S-EPMC9980854 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature