Evidence map›Paper›PMID 30634916›Full record

ArticleBMC geriatrics2019

Geographical variations in self-rated health and functional limitations among older Chinese in eight WHO-SAGE provinces.

Vasoontara Yiengprugsawan, Catherine D'Este, Julie Byles, Hal Kendig

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

4 authors.

Vasoontara YiengprugsawanCentre for Research on Ageing, Health and Wellbeing (CRAHW), Research School of Population Health, College of Health and Medicine, The Australian National University, 54 Mills Road, Acton, Canberra, 2601, Australia. vasoontara.yieng@anu.edu.au.ORCID 0000-0001-9101-4704
Catherine D'EsteNational Centre for Epidemiology and Population Health (NCEPH), Research School of Population Health, The Australian National University, Canberra, Australia.
Julie BylesResearch Centre for Generational Health and Ageing, School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, New South Wales, Australia.
Hal KendigCentre for Research on Ageing, Health and Wellbeing (CRAHW), Research School of Population Health, College of Health and Medicine, The Australian National University, 54 Mills Road, Acton, Canberra, 2601, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe proportion of population ageing in China will grow significantly in the next few decades but the pace of population ageing and social change vary considerably across regions. Notably, Eastern coastal areas are economically more advanced compared to the Western region. These economic disparities could result in differing adverse health outcomes.

methodsWe investigate geographical variations in self-rated overall health and functional limitations in a national representative sample of Chinese aged 50 years and older (n = 13,175) using the WHO Study on global AGEing and adult health (WHO SAGE). We used multivariable logistic regression to investigate urban-rural inequalities across regions, adjusting for sociodemographic and health covariates. Two main outcomes were self-rated overall health and functional limitations based on the WHO Disability Assessment Schedule 2.0 for a range of daily activities.

resultsThe largest urban-rural differences in adverse health outcomes were in Shandong (AORs for urban versus rural of 6.32 [95% Confidence Interval 4.53-8.82] for poor or very poor self-rated overall health and 5.14 [CI 3.55-7.44] for functional limitations), followed by Jilin (AORs 2.71 [CI 2.04-3.61] and 4.72 [CI 3.43-6.49]), and Hubei (AORs 2.36 [CI 1.82-3.07] and 4.11 [CI 2.80-6.04]), respectively. Covariates significantly associated with both adverse health outcomes were older age, poor income, no health insurance, and increasing number of chronic diseases.

conclusionOur study reveals substantial disparities between urban and rural areas observed in both the well-developed areas (eg Shandong) and also the lower end of the economic spectrum (eg Hubei and Jilin). Targeted economic development policy and systematic health prevention and healthcare policies could be beneficial in improving health in later life whilst minimising geographical inequalities.

Indexed as

Health StatusMobility LimitationRural PopulationSocioeconomic FactorsUrban PopulationAgedAgingChinaChronic DiseaseFemaleHumansIncomeInsurance, HealthMaleMiddle AgedAgeing populationChinaFunctional limitationsHealth disparitiesSelf-rated healthUrban-rural inequalities

Identifiers

PMID30634916
PMCPMC6330469

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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.