Determinants of obesity and associated population attributability, South Africa: empirical evidence from a national panel survey, 2008-2012

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dc.date.accessioned 2015-07-02 en
dc.date.accessioned 2022-08-17T16:27:28Z
dc.date.available 2022-08-17T16:27:28Z
dc.date.issued 2015-08-25 en
dc.identifier.uri http://hdl.handle.net/20.500.11910/1902
dc.description.abstract Obesity is a major risk factor for emerging non-communicable diseases (NCDS) in middle income countries including South Africa (SA). Understanding the multiple and complex determinants of obesity and their true population attributable impact is critical for informing and developing effective prevention efforts using scientific based evidence. This study identified contextualised high impact factors associated with obesity in South Africa. Analysis of three national cross sectional (repeated panel) surveys, using a multilevel logistic regression and population attributable fraction estimation allowed for identification of contextualised high impact factors associated with obesity (BMI>30 kg/m2) among adults (15years+). Obesity prevalence increased significantly from 23.5% in 2008 to 27.2% in 2012, with a significantly (p-value<0.001) higher prevalence among females (37.9% in 2012) compared to males (13.3% in 2012). Living in formal urban areas, white ethnicity, being married, not exercising and/or in higher socio-economic category were significantly associated with male obesity. Females living in formal or informal urban areas, higher crime areas, African/ White ethnicity, married, not exercising, in a higher socio-economic category and/or living in households with proportionate higher spending on food (and unhealthy food options) were significantly more likely to be obese. The identified determinants appeared to account for 75% and 43% of male and female obesity respectively. White males had the highest relative gain in obesity from 2008 to 2012. The rising prevalence of obesity in South Africa is significant and over the past 5 years the rising prevalence of Type-2 diabetes has mirrored this pattern, especially among females. Targeting young adolescent girls should be a priority. Addressing determinants of obesity will involve a multifaceted strategy and requires at individual and population levels. With rising costs in the private and public sector to combat obesity related NCDS, this analysis can inform culturally sensitive mass communications and wellness campaigns. Knowledge of social determinants is critical to develop best buys. en
dc.format.medium Print en
dc.publisher Public Library Science en
dc.subject OBESITY en
dc.subject WEIGHT MANAGEMENT en
dc.subject HEALTH en
dc.title Determinants of obesity and associated population attributability, South Africa: empirical evidence from a national panel survey, 2008-2012 en
dc.type Journal Article en
dc.description.version Y en
dc.ProjectNumber N/A en
dc.Volume 10(6) en
dc.BudgetYear 2015/16 en
dc.ResearchGroup Population Health, Health Systems and Innovation en
dc.SourceTitle PLoS One en
dc.PlaceOfPublication San Francisco, USA en
dc.ArchiveNumber 8668 en
dc.URL http://ktree.hsrc.ac.za/doc_read_all.php?docid=18172 en
dc.PageNumber Online en
dc.outputnumber 7440 en
dc.bibliographictitle Sartorius, B., Veerman, L.J., Manyema, M., Chola, L. & Kofman, K. (2015) Determinants of obesity and associated population attributability, South Africa: empirical evidence from a national panel survey, 2008-2012. PLoS One. 10(6):Online. http://hdl.handle.net/20.500.11910/1902 en
dc.publicationyear 2015 en
dc.contributor.author1 Sartorius, B. en
dc.contributor.author2 Veerman, L.J. en
dc.contributor.author3 Manyema, M. en
dc.contributor.author4 Chola, L. en
dc.contributor.author5 Kofman, K. en


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