Nowcasting and forecasting the care needs of the older population in China: analysis of data from the China Health and Retirement Longitudinal Study (CHARLS)

日常生活活动 依赖关系(UML) 中国 纵向研究 老年学 人口老龄化 人口 医学 基线(sea) 分层抽样 人口学 地理 环境卫生 物理疗法 海洋学 地质学 工程类 病理 社会学 考古 系统工程
作者
Jinquan Gong,Gewei Wang,Yafeng Wang,Xinxin Chen,Yanfeng Chen,Qinqin Meng,Peng Yang,Yao Yao,Yaohui Zhao
出处
期刊:The Lancet. Public health [Elsevier BV]
卷期号:7 (12): e1005-e1013 被引量:319
标识
DOI:10.1016/s2468-2667(22)00203-1
摘要

BACKGROUND: An ageing population coupled with an increase in morbidity places a considerable burden on health and social care systems. The aim of our study was to estimate the trends in functional dependency and project future care needs for older people in China. METHODS: We analysed data from the China Health and Retirement Longitudinal Study, a nationally representative survey of a cohort of Chinese people (aged ≥45 years) from 150 counties or districts and 450 villages or urban communities across 28 provinces, who were selected by use of multistage stratified probability-proportionate-to-size sampling. The baseline survey was conducted in 2011 and follow-up surveys were conducted in 2013, 2015, 2018, and 2020. We excluded people younger than 60 years or people who had missing variables on dependency in the five follow-up interviews. Three dependency levels were determined on the basis of activities of daily living (ADLs) and instrumental activities of daily living (IADLs): any ADL items (level 1 dependency); any ADL items or difficulty cooking, shopping, or taking medications (level 2 dependency); and difficulty in any ADL or IADL items (level 3 dependency). The dependency rates were extrapolated to derive the number of people older than 60 years with dependency in China from 2011 to 2020. We used a regression model to project future changes and forecast the size of the older population with dependency between 2021 and 2030. FINDINGS: A total of 89 031 individuals across five waves completed the surveys, of whom 46 619 were eligible for inclusion. The prevalence of level 1 dependency among older Chinese adults declined from 11·7% (95% CI 10·6-12·8) in 2011 to 8·1% (7·5-8·7) in 2020. Level 2 and level 3 dependency also declined. The total number of older people requiring care in 2020 was 20·61 million (95% CI 19·01-22·20) with level 1 dependency, 36·33 million (34·27-38·40) with level 2 dependency, and 45·30 million (43·02-47·59) with level 3 dependency. Improved education, housing, and access to health care was associated with 41·84% of the decline in level 3 dependency prevalence between 2011 and 2020. By 2030, the projected dependency rates could decline to 8·04% for level 1 dependency, 13·28% for level 2 dependency, and 16·05% for level 3 dependency. Nonetheless, the cohort size will grow, resulting in more older Chinese people who need care (29·71 million [27·07-32·36] in level 1, 49·07 million [45·98-52·16] in level 2, and 59·32 million [55·94-62·70] in level 3) in 2030. By 2030, we estimate that 14·02 million more older Chinese people will need care than in 2020. INTERPRETATION: Rapid ageing of the population could offset the decline in dependency and result in a substantial increase in the population with complex care needs. Promoting healthy ageing and investing in an age-friendly environment are important in reducing care burdens in China. FUNDING: National Institute on Aging, Natural Science Foundation of China, China Medical Board. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.
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
刚刚
英姑应助YI123456采纳,获得10
1秒前
爱的魔力转圈圈完成签到,获得积分0
1秒前
水穷云起完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
威武蜜蜂发布了新的文献求助10
2秒前
埋头赶路发布了新的文献求助10
3秒前
skycause完成签到,获得积分10
3秒前
彭仲康发布了新的文献求助20
4秒前
所所应助凉笙采纳,获得10
5秒前
mxr完成签到,获得积分10
5秒前
山谷完成签到,获得积分10
6秒前
6秒前
7秒前
YI123456完成签到,获得积分10
7秒前
在水一方应助一篇大paper采纳,获得10
8秒前
埋头赶路完成签到,获得积分10
8秒前
星辰大海应助lxf采纳,获得10
8秒前
HEYATIAN发布了新的文献求助10
8秒前
微笑猎豹发布了新的文献求助30
8秒前
健壮柚子完成签到,获得积分10
9秒前
9秒前
10秒前
10秒前
科研通AI6.2应助ZZZ采纳,获得10
10秒前
10秒前
cheesy发布了新的文献求助10
13秒前
13秒前
大白兔完成签到 ,获得积分10
13秒前
霓虹灯下发布了新的文献求助10
14秒前
14秒前
完美世界应助嚯嚯嚯采纳,获得10
15秒前
小高发布了新的文献求助30
15秒前
15秒前
15秒前
打打应助Rainy采纳,获得10
15秒前
SIREN发布了新的文献求助10
15秒前
小白发布了新的文献求助10
16秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
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 7191330
求助须知:如何正确求助?哪些是违规求助? 8828296
关于积分的说明 18638791
捐赠科研通 6825766
什么是DOI,文献DOI怎么找? 3175368
关于科研通互助平台的介绍 2326809
邀请新用户注册赠送积分活动 2149738