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

dc.contributor.authorYiengprugsawan, Vas
dc.contributor.authorD'Este, Catherine
dc.contributor.authorByles, Julie
dc.contributor.authorKendig, Hal
dc.date.accessioned2019-03-04T03:44:00Z
dc.date.available2019-03-04T03:44:00Z
dc.date.issued2019-01-11
dc.description.abstractBACKGROUND The 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. METHODS We 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. RESULTS The 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. CONCLUSION Our 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.en_AU
dc.description.sponsorshipThis study was supported by the Australian Research Council Centre of Excellence in Population Ageing Research (CE1101029) and the ARC Discovery Project Understanding ageing in China and Australia (DP160103023).en_AU
dc.format10 pagesen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.urihttp://hdl.handle.net/1885/156814
dc.language.isoen_AUen_AU
dc.provenanceThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
dc.publisherBMCen_AU
dc.relationhttp://purl.org/au-research/grants/arc/CE1101029en_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP160103023en_AU
dc.rights© 2019 The Author(s).en_AU
dc.rights.licenseCreative Commons Attribution 4.0 International License
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceBMC geriatricsen_AU
dc.subjectageing populationen_AU
dc.subjectChinaen_AU
dc.subjectfunctional limitationsen_AU
dc.subjecthealth disparitiesen_AU
dc.subjectself-rated healthen_AU
dc.subjecturban-rural inequalitiesen_AU
dc.titleGeographical variations in self-rated health and functional limitations among older Chinese in eight WHO-SAGE provincesen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
dcterms.dateAccepted2018-12-05
local.bibliographicCitation.issue10en_AU
local.contributor.affiliationYiengprugsawan, Vasoontara, Centre for Research on Ageing Health and Wellbeing, CHM Research School of Population Health, The Australian National Universityen_AU
local.contributor.affiliationD'Este, Catherine, National Centre for Epidemiology & Population Health, CHM Research School of Population Health, The Australian National Universityen_AU
local.contributor.affiliationKendig, Hal, Centre for Research on Ageing Health and Wellbeing, CHM Research School of Population Health, The Australian National Universityen_AU
local.contributor.authoruidu4199004en_AU
local.identifier.ariespublicationu3102795xPUB610
local.identifier.citationvolume19en_AU
local.identifier.doi10.1186/s12877-018-1005-yen_AU
local.identifier.essn1471-2318en_AU
local.publisher.urlhttps://www.biomedcentral.com/en_AU
local.type.statusPublished Versionen_AU

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