Evidence map›Paper›PMID 33499807›Full record

ArticleBMC geriatrics2021

The change and correlates of healthy ageing among Chinese older adults: findings from the China health and retirement longitudinal study.

Peng Nie, Yan Li, Nan Zhang, Xiaomin Sun, Bao Xin, Youfa Wang

Abstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  6. Cohort profile: Beijing Healthy Aging Cohort Study (BHACS).European journal of epidemiology · 2024
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  7. Review
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  15. Housing Poverty and Healthy Aging in China: Evidence from the China Health and Retirement Longitudinal Study.International journal of environmental research and public health · 2021
    Article
  16. Review
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  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Peng NieSchool of Economics and Finance, Xi'an Jiaotong University, Xi'an, China. Peng_Nie@uni-hohenheim.de.ORCID 0000-0002-5322-6324
Yan LiSchool of Economics and Finance, Xi'an Jiaotong University, Xi'an, China.
Nan ZhangManchester Institute for Collaborative Research on Ageing (MICRA), Social Statistics, School of Social Sciences, The University of Manchester, Manchester, UK.
Xiaomin SunGlobal Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Bao XinDepartment of Food Hygiene and Nutrition, School of Public Health, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
Youfa WangGlobal Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.

Funding

National Key Research and Development Program of China 2017YFC0907200National Key Research and Development Program of China 2017YFC0907201National Natural Science Foundation of China 71804142National Natural Science Foundation of China 72074178Start-Up Fund for Young Talent Support Plan 113055107001
6 · The paper itself

Abstract

backgroundThis study tentatively constructs a composite measure of Chinese Healthy Ageing Index (CHAI) among older adults aged 60+ and investigates change of CHAI during 2011-2015 and its association with sociodemographic characteristics.

methodsData collected from 8182 old adults aged 60+ in the 2011 and 2015 China Health and Retirement Longitudinal Study (CHARLS, a nationally representative sample) were used. Six medical measures of blood pressure, peak expiratory flow, cognitive status score, fasting glucose, kidney function and C-reactive function were used to construct CHAI (range 0-12, 0-2 = healthiest, 7-12 = unhealthiest). Ordinary least squares, logistic and random effects models examined social and spatial determinants of CHAI score and the prevalence of the ideal CHAI. Unconditional quantile regression tested heterogeneous impacts of sociodemographic determinants of CHAI score.

resultsMean CHAI score declined from 5.7 to 5.2, and the proportion of the ideal CHAI (CHAI score = 0-2) increased from 5.6 to 9.4% during 2011-2015, indicating an improvement in healthy ageing over time. During 2011-2015, the highest rates of the ideal CHAI were in Southeast and East of China. Older adults, male, living in the Center and West, smoking, obesity/overweight and having chronic diseases were positively associated with total CHAI score and negatively with a higher prevalence of the ideal CHAI. Being married, having high education and regular social activities were associated with a higher rate of the ideal CHAI. The positive predictors for total CHAI were stronger in those with worse CHAI status.

conclusionsIn China healthy ageing has improved during 2011-2015, but substantial geographical and sociodemographic heterogeneities exist in the improvements, suggesting health equality remains a challenge in China. Future policies and interventions should especially focus on men, those in Central and West China, and combat health problems like obesity, chronic diseases and unhealthy behaviors.

Indexed as

Healthy AgingRetirementAgedChinaHealth StatusHumansLongitudinal StudiesMaleChinaHealthy ageingOlder adultsSpatial characteristics

Identifiers

PMID33499807
PMCPMC7839192

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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.