PLoS ONE
Volume 10, Issue 4, 2015
Rural,urban and migrant differences in non-communicable disease risk-factors in middle income countries:A cross-sectional study of WHO-SAGE data (Article) (Open Access)
Oyebode O. ,
Pape U.J. ,
Laverty A.A. ,
Lee J.T. ,
Bhan N. ,
Millett C.
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a
Department of Primary Care and Public Health, Imperial College, Reynolds Building, St Dunstand's Road, London, United Kingdom
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b
Department of Primary Care and Public Health, Imperial College, Reynolds Building, St Dunstand's Road, London, United Kingdom
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c
Department of Primary Care and Public Health, Imperial College, Reynolds Building, St Dunstand's Road, London, United Kingdom
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d
Department of Primary Care and Public Health, Imperial College, Reynolds Building, St Dunstand's Road, London, United Kingdom
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e
Public Health Foundation of India, New Delhi, India
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f
Department of Primary Care and Public Health, Imperial College, Reynolds Building, St Dunstand's Road, London, United Kingdom, Public Health Foundation of India, New Delhi, India
Abstract
Background Understanding how urbanisation and rural-urban migration influence risk-factors for noncommunicable disease (NCD) is crucial for developing effective preventative strategies globally. This study compares NCD risk-factor prevalence in urban, rural and migrant populations in China, Ghana, India, Mexico, Russia and South Africa. Methods Study participants were 39,436 adults within the WHO Study on global AGEing and adult health (SAGE), surveyed 2007-2010. Risk ratios (RR) for each risk-factor were calculated using logistic regression in country-specific and all country pooled analyses, adjusted for age, sex and survey design. Fully adjusted models included income quintile, marital status and education. Results Regular alcohol consumption was lower in migrant and urban groups than in rural groups (pooled RR and 95%CI: 0.47 (0.31-0.68); 0.58, (0.46-0.72), respectively). Occupational physical activity was lower (0.86 (0.72-0.98); 0.76 (0.65 -0.85)) while active travel and recreational physical activity were higher (pooled RRs for urban groups; 1.05 (1.00-1.09), 2.36 (1.95-2.83), respectively; for migrant groups: 1.07 (1.0 -1.12), 1.71 (1.11-2.53), respectively). Overweight, raised waist circumference and diagnosed diabetes were higher in urban groups (1.19 (1.04-1.35), 1.24 (1.07-1.42), 1.69 (1.15-2.47), respectively). Exceptions to these trends exist: obesity indicators were higher in rural Russia; active travel was lower in urban groups in Ghana and India; and in South Africa, urban groups had the highest alcohol consumption. © 2015 Oyebode et al.
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Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928894625&doi=10.1371%2fjournal.pone.0122747&partnerID=40&md5=e5a19b20d5fd72d69e3961e326bc948a
DOI: 10.1371/journal.pone.0122747
ISSN: 19326203
Cited by: 30
Original Language: English