Liang Zhenzhen, Jin Wei, Huang Li, Chen Huajian
Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan, China.
Department of Vascular Surgery, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China.
Front Nutr. 2024 Oct 11;11:1459480. doi: 10.3389/fnut.2024.1459480. eCollection 2024.
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).
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), normal weight (18.5-23.9 kg/m) and overweight or obesity (BMI ≥24 kg/m). 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.
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 negative associations of BMI [OR 0.96 (95% CI 0.95-0.98)], WC [OR 0.99 (95% CI 0.98-0.99)] and WHtR [OR 0.18 (95% CI 0.09-0.35)] with poor sleep quality. RCS regression also showed that BMI, WC, WHtR and WWI were all strongly negatively correlated with poor sleep quality.
In elderly Chinese people, overweight/obese elderly people may have a better sleep quality compared to elderly people with normal weight, while underweight elderly people are unfavorable for sleep quality.
在中国老年人中,肥胖指标与睡眠质量之间的关联尚不清楚。因此,我们旨在利用中国健康与养老追踪调查(CLHLS)的数据来评估这种关联。
纳入了2018年CLHLS中10505名65岁及以上的参与者。根据测量的体重、身高和腰围计算体重指数(BMI)、腰围(WC)、腰高比(WHtR)和体重校正腰围指数(WWI)。根据BMI值,将个体分为体重过轻(<18.5kg/m²)、正常体重(18.5-23.9kg/m²)以及超重或肥胖(BMI≥24kg/m²)。在调查中,睡眠质量采用五分制评分(“1 = 非常好”,“2 = 好”,“3 = 一般”,“4 = 差”,或“5 = 非常差”),我们将“1”和“2”归类为睡眠质量好,“3”、“4”和“5”归类为睡眠质量差。使用逻辑回归模型评估比值比(OR)和95%置信区间(CI),并进行亚组分析和限制立方样条(RCS)分析。
睡眠质量差的患病率为47.06%。睡眠质量好和睡眠质量差的两组人群在肥胖指标和其他因素方面存在显著差异。在调整潜在混杂因素(包括人口统计学、社会经济地位、生活方式行为、健康相关问题和日常生活活动)后,我们的分析显示BMI[OR 0.96(95%CI 0.95-0.98)]、WC[OR 0.99(95%CI 0.98-0.99)]和WHtR[OR 0.18(95%CI 0.09-0.35)]与睡眠质量差呈显著负相关。RCS回归还显示BMI、WC、WHtR和WWI均与睡眠质量差呈强烈负相关。
在中国老年人中,超重/肥胖的老年人与正常体重的老年人相比可能睡眠质量更好,而体重过轻的老年人不利于睡眠质量。