Association between diverse obesity indicators and sleep quality in elderly Chinese people: a National Study

作者：Zhenzhen Liang, Wei Jin, Li Huang, Huajian Chen · 发表于：Frontiers in Nutrition · 年份：2024 · DOI：10.3389/fnut.2024.1459480 · 被引用次数：12 · 研究领域：Sleep and related disorders、Health disparities and outcomes、Chronic Disease Management Strategies

Background The association between obesity indicators and sleep quality remains unclear among elderly Chinese people. Therefore, we aimed to assess this association by utilizing data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Methods A total of 10,505 participants aged 65 and above from the 2018 CLHLS were included. Calculate body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and weight-adjusted-waist index (WWI) based on measured weight, height, and waist circumference. Based on BMI values, individuals were classified as underweight (<18.5 kg/m 2 ), normal weight (18.5–23.9 kg/m 2 ) and overweight or obesity (BMI ≥24 kg/m 2 ). In the survey, sleep quality was rated in a 5-point format (“1 = very good,” “2 = good,” “3 = fair,” “4 = poor,” or “5 = very poor”), and we categorized “1” and “2” as good sleep quality and “3,” “4,” and “5” as poor sleep quality. Logistic regression models were used to evaluate odds ratios (ORs) and 95% confidence intervals (CIs), with subgroup analysis and restricted-cubic-spline (RCS) conducted. Results The prevalence of poor sleep quality was 47.06%. There are significant differences in obesity indicators and other factors between the two groups of people with good sleep and poor sleep. After adjusting for potential confounding factors (including demographics, socioeconomic status, lifestyle behaviors, health-related issues and activities of daily living), our analyses revealed significant neg...