Obesity in South Africa: the South African demographic and health survey

Obes Res. 2002 Oct;10(10):1038-48. doi: 10.1038/oby.2002.141.

Abstract

Objectives: To ascertain the anthropometric profile and determinants of obesity in South Africans who participated in the Demographic and Health Survey in 1998.

Research methods and procedures: A sample of 13,089 men and women (age, > or =15 years) were randomly selected and then stratified by province and urban and nonurban areas. Height, weight, mid-upper arm circumference, and waist and hip circumference were measured. Body mass index (BMI) was used as an indicator of obesity, and the waist/hip ratio (WHR) was used as an indicator of abdominal obesity. Multivariate regression identified sociodemographic predictors of BMI and waist circumference in the data.

Results: Mean BMI values for men and women were 22.9 kg/m(2) and 27.1 kg/m(2), respectively. For men, 29.2% were overweight or obese (> or =25 kg/m(2)) and 9.2% had abdominal obesity (WHR > or =1.0), whereas 56.6% of women were overweight or obese and 42% had abdominal obesity (WHR >0.85). Underweight (BMI <18.5 kg/m(2)) was found in 12.2% of men and 5.6% of women. For men, 19% of the variation of BMI and 34% of the variation in waist circumference could be explained by age, level of education, population group, and area of residence. For women, these variables explained 16% of the variation of BMI and 24% of the variation in waist circumference. Obesity increased with age, and higher levels of obesity were found in urban African women.

Discussion: Overnutrition is prevalent among adult South Africans, particularly women. Determinants of overnutrition include age, level of education, ethnicity, and area of residence.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Body Constitution / physiology
  • Body Mass Index
  • Cross-Sectional Studies
  • Educational Status
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Obesity / epidemiology*
  • Regression Analysis
  • Rural Population
  • Socioeconomic Factors
  • South Africa / epidemiology
  • Surveys and Questionnaires
  • Urban Population