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综合生活方式因素对老年人群死亡率的影响:来自中国队列研究的证据。

Combined lifestyle factors on mortality among the elder population: evidence from a Chinese cohort study.

机构信息

School of Public Health, Zhengzhou University, Zhengzhou, China.

School of Nursing and Health, Zhengzhou University, Zhengzhou, China.

出版信息

BMC Geriatr. 2022 Jun 1;22(1):474. doi: 10.1186/s12877-022-03017-3.

Abstract

BACKGROUND

Numerous studies have suggested that lifestyle-related factors are associated with mortality, however limited evidence is available for the Chinese elder population.

METHODS

The data of this study was obtained from the Chinese Longitudinal Health Survey (CLHLS) during 2008 - 2018, lifestyle-related factors including body mass index (BMI), smoking, drinking, consumption of vegetables and fruits, physical activity and sleep duration were included as dependent variables in the analysis. A lifestyle risk score was created using six unhealthy behaviors: smoking, drinking, unhealthy weight, physical inactivity, not eat vegetables or fruits and short or prolonged sleep. The Kaplan-Meier curves were used to illustrate the cumulative effect of lifestyle factors on mortality and cox regression models were conducted to estimate the combined effects of lifestyle-related factors on total mortality.

RESULTS

The results illustrated that low BMI, smoking, no fruit eating, and no physical inactivity were risk factors for total mortality. KM curves showed significant cumulative effect of unhealthy lifestyle factors on mortality. Compared with participants without any unhealthy factors, the hazard ratio (HR) for participants with six unhealthy factors was 1.335 (1.015,1.757) for all-cause mortality.

CONCLUSIONS

This study demonstrated poor adherence to a healthy lifestyle may increase all-cause mortality and specific combinations of lifestyle related factors have different effects on mortality among Chinese elderly population.

摘要

背景

许多研究表明,与生活方式相关的因素与死亡率有关,但针对中国老年人群体的证据有限。

方法

本研究的数据来自 2008 年至 2018 年的中国健康与养老追踪调查(CLHLS),将包括体重指数(BMI)、吸烟、饮酒、蔬菜和水果摄入、身体活动和睡眠时间在内的与生活方式相关的因素作为分析的因变量。使用六种不健康行为(吸烟、饮酒、不健康体重、缺乏身体活动、不吃蔬菜或水果以及睡眠过短或过长)创建生活方式风险评分。采用 Kaplan-Meier 曲线说明生活方式因素对死亡率的累积效应,并采用 Cox 回归模型估计与生活方式相关的因素对总死亡率的综合影响。

结果

结果表明,低 BMI、吸烟、不吃水果和缺乏身体活动是总死亡率的危险因素。KM 曲线显示不健康生活方式因素对死亡率有显著的累积效应。与没有任何不健康因素的参与者相比,具有 6 种不健康因素的参与者的全因死亡率的危险比(HR)为 1.335(1.015,1.757)。

结论

本研究表明,不良的健康生活方式习惯可能会增加全因死亡率,而特定组合的生活方式相关因素对中国老年人群体的死亡率有不同的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f1/9158191/c6e2ed83c04e/12877_2022_3017_Fig1_HTML.jpg

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