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Urban-rural and geographic differences in overweight and obesity in four sub-Saharan African adult populations: a multi-country cross-sectional study.
Ajayi, IkeOluwapo O; Adebamowo, Clement; Adami, Hans-Olov; Dalal, Shona; Diamond, Megan B; Bajunirwe, Francis; Guwatudde, David; Njelekela, Marina; Nankya-Mutyoba, Joan; Chiwanga, Faraja S; Volmink, Jimmy; Kalyesubula, Robert; Laurence, Carien; Reid, Todd G; Dockery, Douglas; Hemenway, David; Spiegelman, Donna; Holmes, Michelle D.
Afiliação
  • Ajayi IO; Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria. ikeajayi2003@yahoo.com.
  • Adebamowo C; Institute of Human Virology, Abuja, Nigeria.
  • Adami HO; School of Medicine Greenbaum Cancer Center and Institute of Human Virology, University of Maryland, Baltimore, MD, USA.
  • Dalal S; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
  • Diamond MB; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Bajunirwe F; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Guwatudde D; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Njelekela M; Department of Community Health, Mbarara University of Science and Technology, Mbarara, Uganda.
  • Nankya-Mutyoba J; Department of Epidemiology & Biostatistics, Makerere School of Public Health, Kampala, Uganda.
  • Chiwanga FS; Department of Physiology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
  • Volmink J; Department of Epidemiology & Biostatistics, Makerere School of Public Health, Kampala, Uganda.
  • Kalyesubula R; Department of Internal Medicine, Muhimbili National Hospital, Dar es Salaam, Tanzania.
  • Laurence C; The South African Cochrane Centre, South African Medical Research Council, Cape Town, South Africa.
  • Reid TG; Centre for Evidence-based Health Care, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
  • Dockery D; Department of Epidemiology & Biostatistics, Makerere School of Public Health, Kampala, Uganda.
  • Hemenway D; Centre for Evidence-based Health Care, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
  • Spiegelman D; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
  • Holmes MD; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
BMC Public Health ; 16(1): 1126, 2016 10 28.
Article em En | MEDLINE | ID: mdl-27793143
ABSTRACT

BACKGROUND:

Overweight and obesity are on the rise in developing countries including sub-Saharan Africa. We undertook a four-country survey to show the collective burden of these health conditions as they occur currently in sub-Saharan Africa and to determine the differences between urban and rural populations and other socio-economic factors.

METHODS:

Participants were nurses in two hospitals in Nigeria (200), school teachers in South Africa (489) and Tanzania (229), and village residents in one peri-urban (297) and one rural location in Uganda (200) who completed a standardised questionnaire. Their height and weight were measured and body mass index calculated. Factor analysis procedure (Principal component) was used to generate a wealth index. Univariate and multivariate analyses with binary logistic regression models were conducted to examine the associations between potential correlates and the prevalence of overweight and obesity with 95 % confidence intervals.

RESULTS:

The prevalence of overweight and obese (combined) was 46 %, 48 %, 68 %, 75 % and 85 % in rural Uganda, peri-urban Uganda, Nigeria, Tanzania and South Africa (SA), respectively. Rural Uganda, Peri- urban Uganda, Nigeria, Tanzania and SA had obesity prevalence of 10 %, 14 %, 31 %, 40 % and 54 %, respectively (p < 0.001). Overall, prevalence of overweight was 374 (31 %) and obesity, 414 (34 %). Female sex was a predictor of overweight and obesity (combined) in peri-urban Uganda [AOR = 8.01; 95 % CI 4.02, 15.96) and obesity in rural Uganda [AOR = 11.22; 95%CI 2.27, 55.40), peri-urban Uganda [AOR = 27.80; 95 % CI 7.13, 108.41) and SA [AOR = 2.17; 95 % CI 1.19, 4.00). Increasing age was a predictor of BMI > =25 kg/m2 in Nigeria [Age > =45 - AOR = 9.11; 95 % CI 1.72, 48.16] and SA [AOR = 6.22; 95 % CI 2.75, 14.07], while marital status was predictor of BMI > =25 kg/m2 only in peri-urban Uganda. [Married - AOR = 4.49; 95 % CI 1.74, 11.57]. Those in Nigeria [AOR = 2.56; 95 % CI 1.45, 4.53], SA [AOR = 4.97; 95 % CI 3.18, 7.78], and Tanzania [AOR = 2.68; 95 % CI 1.60, 4.49] were more likely to have BMI > =25 kg/m2 compared with the rural and peri-urban sites.

CONCLUSION:

The high prevalence of overweight and obesity in these sub-Saharan African countries and the differentials in prevalence and risk factors further highlights the need for urgent focused intervention to stem this trend, especially among women, professionals and urban dwellers.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População Rural / População Urbana / Características de Residência / Obesidade Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: Africa Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População Rural / População Urbana / Características de Residência / Obesidade Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: Africa Idioma: En Ano de publicação: 2016 Tipo de documento: Article