Evidence map›Paper›PMID 37131938›Full record

ArticleBulletin of the World Health Organization2023

Life-course inequalities in intrinsic capacity and healthy ageing, China.

Yafei Si, Katja Hanewald, Shu Chen, Bingqin Li, Hazel Bateman, John R Beard

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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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.

Yafei SiSchool of Risk & Actuarial Studies, University of New South Wales, 223 Anzac Parade Kensington, SydneyNSW 2052, Australia.
Katja HanewaldSchool of Risk & Actuarial Studies, University of New South Wales, 223 Anzac Parade Kensington, SydneyNSW 2052, Australia.
Shu ChenSchool of Risk & Actuarial Studies, University of New South Wales, 223 Anzac Parade Kensington, SydneyNSW 2052, Australia.
Bingqin LiSocial Policy Research Centre, University of New South Wales, Sydney, Australia.
Hazel BatemanSchool of Risk & Actuarial Studies, University of New South Wales, 223 Anzac Parade Kensington, SydneyNSW 2052, Australia.
John R BeardARC Centre of Excellence in Population Ageing Research, University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the contribution of early-life factors on intrinsic capacity of Chinese adults older than 45 years. Methods: We used data on 21 783 participants from waves 1 (2011) and 2 (2013) of the China Health and Retirement Longitudinal Study (CHARLS), who also participated in the 2014 CHARLS Life History Survey to calculate a previously validated measure of intrinsic capacity. We considered 11 early-life factors and investigated their direct association with participants' intrinsic capacity later in life, as well as their indirect association through four current socioeconomic factors. We used multivariable linear regression and the decomposition of the concentration index to investigate the contribution of each determinant to intrinsic capacity inequalities. Findings: Participants with a favourable environment in early life (that is, parental education, childhood health and neighbourhood environment) had a significantly higher intrinsic capacity score in later life. For example, participants with a literate father recorded a 0.040 (95% confidence interval, CI: 0.020 to 0.051) higher intrinsic capacity score than those with an illiterate father. This inequality was greater for cognitive, sensory and psychological capacities than locomotion and vitality. Overall, early-life factors directly explained 13.92% (95% CI: 12.07 to 15.77) of intrinsic capacity inequalities, and a further 28.57% (95% CI: 28.19 to 28.95) of these inequalities through their influence on current socioeconomic inequalities. Conclusion: Unfavourable early-life factors appear to decrease late-life health status in China, particularly cognitive, sensory and psychological capacities, and these effects are exacerbated by cumulative socioeconomic inequalities over a person's life course.

Indexed as

Healthy AgingLife Change EventsChildChinaHumansLongitudinal StudiesSocioeconomic Factors

Identifiers

PMID37131938
PMCPMC10140694

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Registered trials

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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.