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即时预测和预测中国老年人口的护理需求:基于中国健康与养老追踪调查(CHARLS)数据的分析。

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

机构信息

Institute of Social Science Survey, Peking University, Beijing, China.

North China Electric Power University, Beijing, China.

出版信息

Lancet Public Health. 2022 Dec;7(12):e1005-e1013. doi: 10.1016/S2468-2667(22)00203-1. Epub 2022 Nov 21.

Abstract

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.

摘要

背景

人口老龄化加上发病率的增加,给卫生和社会保健系统带来了相当大的负担。我们研究的目的是估计中国老年人功能依赖的趋势,并预测未来的护理需求。

方法

我们分析了来自中国健康与退休纵向研究的数据,这是一项对来自中国 28 个省份的 150 个县或区和 450 个村庄或城市社区的中国人群(年龄≥45 岁)的队列进行的全国代表性调查,这些人群是通过多阶段分层概率比例抽样选择的。基线调查于 2011 年进行,随后在 2013 年、2015 年、2018 年和 2020 年进行了随访调查。我们排除了年龄小于 60 岁或在五次随访访谈中缺乏依赖变量的人。根据日常生活活动(ADL)和工具性日常生活活动(IADL)确定了三个依赖水平:任何 ADL 项目(一级依赖);任何 ADL 项目或有困难做饭、购物或服药(二级依赖);以及任何 ADL 或 IADL 项目有困难(三级依赖)。依赖率被推断出来,以得出 2011 年至 2020 年中国 60 岁以上有依赖的人数。我们使用回归模型预测未来变化,并预测 2021 年至 2030 年期间依赖型老年人口的规模。

结果

共有 89031 人参加了五次调查,其中 46619 人符合纳入标准。中国老年人一级依赖的患病率从 2011 年的 11.7%(95%CI 10.6-12.8)下降到 2020 年的 8.1%(7.5-8.7)。二级和三级依赖也有所下降。2020 年需要护理的老年人总数为 2061 万人(95%CI 1901-2220),其中一级依赖为 3633 万人(34.27-38.40),二级依赖为 4530 万人(43.02-47.59),三级依赖为 4530 万人(43.02-47.59)。教育、住房和医疗保健的改善与 2011 年至 2020 年三级依赖患病率下降的 41.84%有关。到 2030 年,预计一级依赖的依赖率可能下降到 8.04%,二级依赖的依赖率为 13.28%,三级依赖的依赖率为 16.05%。然而,该队列的规模将会增长,导致更多的中国老年人需要护理(一级依赖为 2971 万人[27.07-32.36],二级依赖为 4907 万人[45.98-52.16],三级依赖为 5932 万人[55.94-62.70])在 2030 年。到 2030 年,我们估计将有 1402 万以上的中国老年人需要护理,比 2020 年多。

解释

人口的快速老龄化可能会抵消依赖程度的下降,并导致需要复杂护理的人口大量增加。促进健康老龄化和投资于一个适合老年人的环境对于减轻中国的护理负担非常重要。

资助

美国国立卫生研究院、中国自然科学基金会、中国医学基金会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c879/9741660/9ada3257a6c8/nihms-1854400-f0001.jpg

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