Associations of area-level socioeconomic status and individual factors with mortality in China: a nationwide prospective cohort study

社会经济地位 医学 人口学 队列 前瞻性队列研究 队列研究 人口 比例危险模型 环境卫生 老年学 内科学 社会学
作者
Qiuyu Cao,Mian Li,Ruizhi Zheng,Hong Lin,Yu Xu,Zhicheng Wang,Guijun Qin,Yan Li,Min Xu,Tiange Wang,Yu‐Hong Chen,Shuangyuan Wang,Zhiyun Zhao,Jie Zheng,Zhengnan Gao,Tianshu Zeng,Ruying Hu,Xuefeng Yu,Gang Chen,Qing Su
出处
期刊:Journal of Epidemiology and Community Health [BMJ]
卷期号:79 (10): 772-778 被引量:2
标识
DOI:10.1136/jech-2024-223570
摘要

BACKGROUND: Although socioeconomic inequality in mortality has long been a public health focus, the associations of area-level socioeconomic status (SES) and individual-level factors with mortality have not been well investigated, especially in China with rapid industrial development. METHODS: In this nationwide, population-based, prospective cohort study, adults aged over 40 from 29 counties were included in the China Cardiometabolic Disease and Cancer Cohort study. The composite area deprivation index of area-level SES was generated from national census data and categorised into tertiles. Cox proportional hazards models were fitted to calculate HRs and 95% CIs for area-level SES with the risk of mortality, and comprehensive individual socioeconomic, lifestyle, and metabolic factors were examined as potential mediators. RESULTS: A total of 174 004 participants were included. During a median follow-up of 10.1 years, low area-level SES was associated with 34% increased risk of all-cause mortality (95% CI 1.27 to 1.42), 76% increased risk of cardiovascular disease (CVD) mortality (95% CI 1.59 to 1.94) and 13% increased risk of non-CVD mortality (95% CI 1.05 to 1.21) compared with high area-level SES. The association between area-level SES and all-cause mortality was partly mediated by individual socioeconomic, lifestyle and metabolic factors, contributing 3.8%, 20.7% and 8.9%, respectively. Furthermore, individuals with low area-level SES and low individual SES, unhealthy lifestyles, or poor metabolic status had the highest risk of mortality. CONCLUSIONS: Significant area-level socioeconomic inequalities in mortality exist in China. Comprehensive interventions targeting both area-level circumstances and individual socioeconomic, lifestyle and metabolic factors were key strategies to reduce these inequalities.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
shouhao完成签到,获得积分10
1秒前
鱼儿游发布了新的文献求助10
1秒前
1秒前
2秒前
Orange应助SW冒险家采纳,获得10
3秒前
Lucas应助渴望者采纳,获得10
3秒前
852应助ky600539采纳,获得10
4秒前
4秒前
felix发布了新的文献求助10
4秒前
5秒前
5秒前
Zero完成签到 ,获得积分10
5秒前
5秒前
wsyyyyy完成签到,获得积分10
5秒前
cdx发布了新的文献求助10
5秒前
Jin发布了新的文献求助50
6秒前
6秒前
7秒前
7秒前
felix发布了新的文献求助10
7秒前
felix发布了新的文献求助10
10秒前
felix发布了新的文献求助10
10秒前
felix发布了新的文献求助10
10秒前
felix发布了新的文献求助10
10秒前
11秒前
11秒前
freefys完成签到,获得积分10
11秒前
LQ完成签到,获得积分10
12秒前
12秒前
强健的心锁完成签到,获得积分10
12秒前
三三完成签到,获得积分10
13秒前
cdercder应助薄荷味采纳,获得10
14秒前
liufengjie完成签到,获得积分10
14秒前
何先生完成签到 ,获得积分10
14秒前
15秒前
帕芙芙完成签到,获得积分10
15秒前
15秒前
SW冒险家发布了新的文献求助10
16秒前
要减肥的之云完成签到 ,获得积分10
16秒前
科研通AI6.4应助倾心采纳,获得10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7587533
求助须知:如何正确求助?哪些是违规求助? 9165919
关于积分的说明 19617071
捐赠科研通 7167922
什么是DOI,文献DOI怎么找? 3266920
关于科研通互助平台的介绍 2431831
邀请新用户注册赠送积分活动 2258781