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https://doi.org/10.1371/journal.pone.0122747
DC Field | Value | |
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dc.title | Rural,urban and migrant differences in non-communicable disease risk-factors in middle income countries:A cross-sectional study of WHO-SAGE data | |
dc.contributor.author | Oyebode O. | |
dc.contributor.author | Pape U.J. | |
dc.contributor.author | Laverty A.A. | |
dc.contributor.author | Lee J.T. | |
dc.contributor.author | Bhan N. | |
dc.contributor.author | Millett C. | |
dc.date.accessioned | 2019-11-06T01:32:53Z | |
dc.date.available | 2019-11-06T01:32:53Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Oyebode O., Pape U.J., Laverty A.A., Lee J.T., Bhan N., Millett C. (2015). Rural,urban and migrant differences in non-communicable disease risk-factors in middle income countries:A cross-sectional study of WHO-SAGE data. PLoS ONE 10 (4). ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0122747 | |
dc.identifier.issn | 19326203 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/161523 | |
dc.description.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. | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Unpaywall 20191101 | |
dc.subject | adult | |
dc.subject | age | |
dc.subject | alcohol consumption | |
dc.subject | Article | |
dc.subject | body mass | |
dc.subject | China | |
dc.subject | clinical study | |
dc.subject | controlled study | |
dc.subject | cross-sectional study | |
dc.subject | diabetes mellitus | |
dc.subject | diastolic blood pressure | |
dc.subject | education | |
dc.subject | exercise | |
dc.subject | food intake | |
dc.subject | fruit | |
dc.subject | Ghana | |
dc.subject | health survey | |
dc.subject | human | |
dc.subject | hypertension | |
dc.subject | income | |
dc.subject | India | |
dc.subject | leisure | |
dc.subject | logistic regression analysis | |
dc.subject | major clinical study | |
dc.subject | marriage | |
dc.subject | Mexico | |
dc.subject | migrant | |
dc.subject | non communicable disease | |
dc.subject | obesity | |
dc.subject | occupation | |
dc.subject | physical activity | |
dc.subject | prevalence | |
dc.subject | risk factor | |
dc.subject | Russian Federation | |
dc.subject | sex difference | |
dc.subject | smoking | |
dc.subject | South Africa | |
dc.subject | systolic blood pressure | |
dc.subject | trend study | |
dc.subject | urban rural difference | |
dc.subject | vegetable | |
dc.subject | waist circumference | |
dc.subject | world health organization | |
dc.subject | adolescent | |
dc.subject | aging | |
dc.subject | comparative study | |
dc.subject | developed country | |
dc.subject | feeding behavior | |
dc.subject | female | |
dc.subject | male | |
dc.subject | middle aged | |
dc.subject | migration | |
dc.subject | obesity | |
dc.subject | risk factor | |
dc.subject | rural population | |
dc.subject | urban population | |
dc.subject | young adult | |
dc.subject | Adolescent | |
dc.subject | Adult | |
dc.subject | Aging | |
dc.subject | Cross-Sectional Studies | |
dc.subject | Developed Countries | |
dc.subject | Feeding Behavior | |
dc.subject | Female | |
dc.subject | Human Migration | |
dc.subject | Humans | |
dc.subject | Male | |
dc.subject | Middle Aged | |
dc.subject | Obesity | |
dc.subject | Risk Factors | |
dc.subject | Rural Population | |
dc.subject | Smoking | |
dc.subject | Transients and Migrants | |
dc.subject | Urban Population | |
dc.subject | World Health Organization | |
dc.subject | Young Adult | |
dc.type | Article | |
dc.contributor.department | SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH | |
dc.description.doi | 10.1371/journal.pone.0122747 | |
dc.description.sourcetitle | PLoS ONE | |
dc.description.volume | 10 | |
dc.description.issue | 4 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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