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Geographical variations in self-rated health and functional limitations among older Chinese in eight WHO-SAGE provinces.
Yiengprugsawan, Vasoontara; D'Este, Catherine; Byles, Julie; Kendig, Hal.
Afiliação
  • Yiengprugsawan V; Centre 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.
  • D'Este C; Australian Research Council Centre of Excellence in Population Ageing Research (CEPAR), Canberra, Australia. vasoontara.yieng@anu.edu.au.
  • Byles J; National Centre for Epidemiology and Population Health (NCEPH), Research School of Population Health, The Australian National University, Canberra, Australia.
  • Kendig H; School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, New South Wales, Australia.
BMC Geriatr ; 19(1): 10, 2019 01 11.
Article em En | MEDLINE | ID: mdl-30634916
BACKGROUND: 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População Rural / Fatores Socioeconômicos / População Urbana / Envelhecimento / Nível de Saúde / Limitação da Mobilidade Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População Rural / Fatores Socioeconômicos / População Urbana / Envelhecimento / Nível de Saúde / Limitação da Mobilidade Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Ano de publicação: 2019 Tipo de documento: Article