title: Economic growth and obesity in South African adults: an ecological analysis between 1994 and 2014.
abstract: To assess the trend associations between South Africa's economic growth using various economic growth indicators (EGIs) with adult obesity prevalence over a specified period of time. Data for obesity levels reported were obtained from national surveys conducted in South African adults in 1998, 2003 and 2012. EGIs incorporated in the current analysis were obtained from the World Bank and IHS Global insight databases. Obesity prevalence is presented by gender, urbanisation level and ethnicity. EGIs congruent to the time points where obesity data are available are presented. Unadjusted time trend plots were applied to assess associations between obesity prevalence and EGIs by gender, urbanisation level and ethnicity. Females present higher levels of obesity relative to males for all time points. For both males and females, an overall increase in prevalence was observed in both rural and urban settings over-time, with urban dwellers presenting higher obesity levels. An overall increase in Gross Domestic Product (GDP) per capita and Household Final Consumption Expenditure (HFCE) per capita was observed. The Gini coefficient for all ethnicities except the White population increased between 1998 and 2003 but declined by 2012. Overtime per capita GDP and HFCE increased with increasing obesity prevalence in both genders. The trend association between the Gini coefficient for all ethnicities and obesity prevalence was similar for both genders in that as the Gini coefficient increased obesity prevalence declined, and when the coefficient decreased obesity prevalence increased. Trend associations exist between South Africa's economic growth and adult obesity.
authors.affiliation: Wits RHI, University of the Witwatersrand, Johannesburg, South Africa.
authors.forename: Pedro T
authors.initials: PT
authors.lastname: Pisa
authors.affiliation: Department of Transport and Supply Chain Management, University of Johannesburg, Johannesburg, South Africa.
authors.forename: Noleen M
authors.initials: NM
authors.lastname: Pisa
mesh_terms: D000328:Adult; D057217:Economic Development / Q000706:statistics & numerical data*; D005006:Ethnicity / Q000706:statistics & numerical data; D005260:Female; D059066:Gross Domestic Product / Q000706:statistics & numerical data; D006306:Health Surveys; D006801:Humans; D008297:Male; D009749:Nutrition Surveys; D009765:Obesity / Q000191:economics / Q000453:epidemiology* / Q000209:etiology; D015995:Prevalence; D044469:Racial Groups / Q000706:statistics & numerical data; D012424:Rural Population / Q000706:statistics & numerical data; D012737:Sex Factors; D012959:Socioeconomic Factors; D013019:South Africa / Q000453:epidemiology; D014505:Urban Population / Q000706:statistics & numerical data