Determinants of Obesity and Associated Population Attributability, South Africa: Empirical Evidence from a National Panel Survey, 2008-2012.

<h4>Background</h4>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 a...

Full description

Bibliographic Details
Main Authors: Benn Sartorius, Lennert J Veerman, Mercy Manyema, Lumbwe Chola, Karen Hofman
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0130218
id doaj-d471e5b58fa84f2887c115131b230b76
record_format Article
spelling doaj-d471e5b58fa84f2887c115131b230b762021-03-04T08:04:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01106e013021810.1371/journal.pone.0130218Determinants of Obesity and Associated Population Attributability, South Africa: Empirical Evidence from a National Panel Survey, 2008-2012.Benn SartoriusLennert J VeermanMercy ManyemaLumbwe CholaKaren Hofman<h4>Background</h4>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.<h4>Methods</h4>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 (15 years+).<h4>Results</h4>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.<h4>Conclusions</h4>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".https://doi.org/10.1371/journal.pone.0130218
collection DOAJ
language English
format Article
sources DOAJ
author Benn Sartorius
Lennert J Veerman
Mercy Manyema
Lumbwe Chola
Karen Hofman
spellingShingle Benn Sartorius
Lennert J Veerman
Mercy Manyema
Lumbwe Chola
Karen Hofman
Determinants of Obesity and Associated Population Attributability, South Africa: Empirical Evidence from a National Panel Survey, 2008-2012.
PLoS ONE
author_facet Benn Sartorius
Lennert J Veerman
Mercy Manyema
Lumbwe Chola
Karen Hofman
author_sort Benn Sartorius
title Determinants of Obesity and Associated Population Attributability, South Africa: Empirical Evidence from a National Panel Survey, 2008-2012.
title_short Determinants of Obesity and Associated Population Attributability, South Africa: Empirical Evidence from a National Panel Survey, 2008-2012.
title_full Determinants of Obesity and Associated Population Attributability, South Africa: Empirical Evidence from a National Panel Survey, 2008-2012.
title_fullStr Determinants of Obesity and Associated Population Attributability, South Africa: Empirical Evidence from a National Panel Survey, 2008-2012.
title_full_unstemmed Determinants of Obesity and Associated Population Attributability, South Africa: Empirical Evidence from a National Panel Survey, 2008-2012.
title_sort determinants of obesity and associated population attributability, south africa: empirical evidence from a national panel survey, 2008-2012.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description <h4>Background</h4>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.<h4>Methods</h4>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 (15 years+).<h4>Results</h4>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.<h4>Conclusions</h4>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".
url https://doi.org/10.1371/journal.pone.0130218
work_keys_str_mv AT bennsartorius determinantsofobesityandassociatedpopulationattributabilitysouthafricaempiricalevidencefromanationalpanelsurvey20082012
AT lennertjveerman determinantsofobesityandassociatedpopulationattributabilitysouthafricaempiricalevidencefromanationalpanelsurvey20082012
AT mercymanyema determinantsofobesityandassociatedpopulationattributabilitysouthafricaempiricalevidencefromanationalpanelsurvey20082012
AT lumbwechola determinantsofobesityandassociatedpopulationattributabilitysouthafricaempiricalevidencefromanationalpanelsurvey20082012
AT karenhofman determinantsofobesityandassociatedpopulationattributabilitysouthafricaempiricalevidencefromanationalpanelsurvey20082012
_version_ 1714808211111936000