RESUMO
OBJECTIVE: To estimate adult gout prevalence in France. METHODS: We used a previously established phone questionnaire that allowed for classifying patients as gouty or nongouty by 2 logistic regression models and 1 classification and regression tree (CART) model, the sensitivity and specificity of which were all more than 80%. The full questionnaire was administered by phone to subjects who acknowledged present or past nontraumatic acute pain in a peripheral joint, the others being classified as nongouty. A random sample of adults residing in France was derived from the national telephone directory (home and mobile) by the quota method and further redressed to match the French population. The target size for the interview survey conducted in March and June 2013 was 10,000 participants. RESULTS: We interviewed 10,026 participants. All 3 models (2 logistic regression models and a CART model) converged to an estimated gout prevalence of 0.9%. This prevalence was lower than that estimated by self-reporting only (3.7% [95% confidence interval 3.3-4.1]). The prevalence was higher for men than women and increased with age but did not differ by area of France. CONCLUSION: Gout prevalence in the adult population of France in 2013 was estimated at 0.9%. Studies using self-reporting only might overestimate the prevalence.