Evidence map›Paper›PMID 36423656›Full record

ArticleThe Lancet. Public health2022

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

Jinquan Gong, Gewei Wang, Yafeng Wang, Xinxin Chen, Yanfeng Chen, Qinqin Meng, Peng Yang, Yao Yao, Yaohui Zhao

Erratum issuedAbstract read
In one paragraph

Article in The Lancet. Public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 200 papers.

0numbers the graph read from it
0cells of the map it votes in
200citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

200 citing papers in PubMed.

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  6. Does long-term care insurance affect labor supply? Empirical evidence from China.International journal of health economics and management · 2026
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140 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jinquan GongInstitute of Social Science Survey, Peking University, Beijing, China.
Gewei WangInstitute of Social Science Survey, Peking University, Beijing, China.
Yafeng WangInstitute of Social Science Survey, Peking University, Beijing, China.
Xinxin ChenInstitute of Social Science Survey, Peking University, Beijing, China.
Yanfeng ChenNorth China Electric Power University, Beijing, China.
Qinqin MengInstitute of Social Science Survey, Peking University, Beijing, China.
Peng YangHubei University of Technology, Wuhan, China.
Yao YaoChina Center for Health Development Studies, Peking University, Beijing, China.
Yaohui ZhaoChina Center for Economic Research, National School of Development, Peking University, Beijing, China. Electronic address: yhzhao@nsd.pku.edu.cn.

Funding

China Health and Retirement Longitudinal StudyR01AG037031 · NIA · PEKING UNIVERSITY · PI STRAUSS, JOHN A, WANG, YAFENG · 2010 to 2024
$15.1M
Influences of Early and Later Life Events on Cognition and All-Cause Dementia in ChinaR01AG067625 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI STRAUSS, JOHN A · 2019 to 2024
$2.7M
Harmonized Cognitive and Dementia Assessment in ChinaR01AG053228 · NIA · PEKING UNIVERSITY · PI HUANG, YUEQIN, STRAUSS, JOHN A · 2016 to 2019
$1.7M
NIA NIH HHS R01 AG037031NIA NIH HHS R01 AG053228NIA NIH HHS R01 AG067625
6 · The paper itself

Abstract

backgroundAn 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.

methodsWe 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.

findingsA 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.

interpretationRapid 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.

fundingNational Institute on Aging, Natural Science Foundation of China, China Medical Board. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.

Indexed as

Activities of Daily LivingRetirementAdultAgedAgingChinaHumansLongitudinal StudiesMiddle Aged

Identifiers

PMID36423656
PMCPMC9741660

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.