Incidence and risk factors for gout in white men

JAMA. 1991 Dec 4;266(21):3004-7.

Abstract

Objective: To identify potentially modifiable risk factors for the development of gout.

Design: Longitudinal cohort study (The Johns Hopkins Precursors Study).

Participants: Of 1337 eligible medical students, 1271 (95%) received a standardized medical examination and questionnaire during medical school. The participants were predominantly male (91%), white (97%), and young (median age, 22 years) at cohort entry.

Outcome measure: The development of gout.

Results: Sixty cases of gout (47 primary and 13 secondary) were identified among 1216 men; none occurred among 121 women (P = .01). The cumulative incidence of all gout was 8.6% among men (95% confidence interval, 5.9% to 11.3%). Body mass index at age 35 years (P = .01), excessive weight gain (greater than 1.88 kg/m2) between cohort entry and age 35 years (P = .007), and development of hypertension (P = .004) were significant risk factors for all gout in univariate analysis. Multivariate Cox proportional hazards models confirmed the association of body mass index at age 35 years (relative risk [RR] = 1.12; P = .02), excessive weight gain (RR = 2.07; P = .02), and hypertension (RR = 3.26; P = .002) as risk factors for all gout. Hypertension, however, was not a significant risk factor for primary gout.

Conclusions: Obesity, excessive weight gain in young adulthood, and hypertension are risk factors for the development of gout. Prevention of obesity and hypertension may decrease the incidence of and morbidity from gout; studies of weight reduction in the primary and secondary prevention of gout are indicated.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Cohort Studies
  • European Continental Ancestry Group
  • Follow-Up Studies
  • Gout / epidemiology*
  • Humans
  • Hypertension / complications
  • Incidence
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Obesity / complications
  • Proportional Hazards Models
  • Risk Factors
  • United States / epidemiology