title: Determinants and treatment of hypertension in South Africans: the first Demographic and Health Survey.
abstract: OBJECTIVE
  To identify the groups of patients with high prevalence and poor control of hypertension in South Africa.
  
  
  METHODS
  In the first national Demographic and Health Survey, 12 952 randomly selected South Africans aged 15 years and older were surveyed. Trained interviewers completed questionnaires on socio-demographic characteristics, lifestyle and the management of hypertension. This cross-sectional survey included blood pressure, height and weight measurements. Logistic regression analyses identified the determinants of hypertension and the treatment status.
  
  
  RESULTS
  A high risk of hypertension was associated with less than tertiary education, older age groups, overweight and obese people, excess alcohol use, and a family history of stroke and hypertension. Hypertension risk was lowest in rural blacks and significantly higher in obese black women than in women with a normal body mass index. Improved hypertension control was found in the wealthy, women, older persons, Asians, and persons with medical insurance.
  
  
  CONCLUSIONS
  Rural black people had lower hypertension prevalence rates than the other groups. Poorer, younger men without health insurance had the worst level of hypertension control.
authors.affiliation: Chronic Diseases of Lifestyle Unit and Department of Medicine, University of Cape Town. krisela.steyn@mrc.ac.za
authors.forename: Krisela
authors.initials: K
authors.lastname: Steyn
authors.forename: Debbie
authors.initials: D
authors.lastname: Bradshaw
authors.forename: Rosana
authors.initials: R
authors.lastname: Norman
authors.forename: Ria
authors.initials: R
authors.lastname: Laubscher
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D044383:Black People / Q000706:statistics & numerical data*; D005260:Female; D006306:Health Surveys; D006801:Humans; D006973:Hypertension / Q000208:ethnology* / Q000628:therapy; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D017678:Sex Distribution; D012959:Socioeconomic Factors; D013019:South Africa / Q000453:epidemiology