Evidence map›Paper›PMID 28434029›Full record

ArticleInternational journal of public health2017

Health of midlife and older adults in China: the role of regional economic development, inequality, and institutional setting.

Xuejie Ding, Francesco C Billari, Stuart Gietel-Basten

Abstract read
In one paragraph

Article in International journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

3 authors.

Xuejie DingDepartment of Sociology, University of Oxford, Oxford, UK. odeta.xjd@gmail.com.ORCID http://orcid.org/0000-0002-0280-8463
Francesco C BillariCarlo F. Dondena Centre for Research on Social Dynamics and Public Policies and Department of Policy Analysis and Public Management, Bocconi University, Milan, Italy.
Stuart Gietel-BastenDepartment of Social Policy and Intervention, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo document the association between economic development, income inequality, and health-related public infrastructure, and health outcomes among Chinese adults in midlife and older age.

methodsWe use a series of multi-level regression models with individual-level baseline data from the China Health and Retirement Longitudinal Survey (CHARLS). Provincial-level data are obtained both from official statistics and from CHARLS itself. Multi-level models are estimated with different subjective and objective health outcomes.

resultsEconomic growth is associated with better self-rated health, but also with obesity. Better health infrastructure tends to be negatively associated with health outcomes, indicating the likely presence of reverse causality. No supportive evidence is found for the hypothesis that income inequality leads to worse health outcomes.

conclusionsOur study shows that on top of individual characteristics, provincial variations in economic development, income inequality, and health infrastructure are associated with a range of health outcomes for Chinese midlife and older adults. Economic development in China might also bring adverse health outcomes for this age group; as such specific policy responses need to be developed.

Indexed as

Health Status DisparitiesAgedChinaEconomic DevelopmentFemaleHealth FacilitiesHealth SurveysHumansIncomeLongitudinal StudiesMaleMiddle AgedSocioeconomic FactorsBiomarkersChinaEconomic developmentHealth-related public infrastructureIncome inequalityMidlife and older adults

Identifiers

PMID28434029
PMCPMC5641278

What OpenQuestion holds

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LicenceCC BY
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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.