Risk factors for gout: a hospital-based study in urban black South Africans

Rev Rhum Engl Ed. 1998 Apr;65(4):225-31.

Abstract

The clinical features of 90 Black South African patients with gout seen at a large urban hospital were reviewed. The mean age of the patients was 54.3 and 55.3 years for men and women, respectively. The male:female ratio was 3.3:1. All except one of the women were postmenopausal. Seventy-nine percent of patients were from the lower income groups of "blue collar" workers, old-age pensioners or the unemployed. Polyarticular gout was observed in 44.4% of the patients. Tophi were noted in 51.1% of patients but none had a history of renal calculi. Risk factors were assessed by comparing the gouty patients to an equal number of age- and sex-matched hospital controls. Case-control analysis showed a "white collar" occupation (odds ratio = 7.4), obesity (odds ratio = 5.3), alcohol intake (odds ratio = 3.5) and hypertension (odds ratio = 3.3) to be significant risk factors for gout in the overall group of both men and women. In the subgroup of men only, obesity (odds ratio = 7.8), a "white collar" occupation (odds ratio = 6.4), hypertension (odds ratio = 4.9) and alcohol intake (odds ratio = 3.5) were similarly associated with gout. In women, a history of alcohol intake was the only significant risk factor associated with gout (odds ratio = 5.0). These findings suggest that in a population where gout was previously rare, changing dietary habits and lifestyle, together with improving socioeconomic conditions are contributing significantly to the increasing prevalence of the disease.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • African Continental Ancestry Group*
  • Aged
  • Aged, 80 and over
  • Alcohol Drinking
  • Case-Control Studies
  • Cross-Sectional Studies
  • Female
  • Gout / ethnology*
  • Gout / etiology
  • Gout / pathology
  • Hospitals, Urban / statistics & numerical data*
  • Humans
  • Hypertension
  • Male
  • Middle Aged
  • Obesity
  • Occupations
  • Postmenopause
  • Risk Factors
  • South Africa / epidemiology
  • Urban Population*