title: Prevalence of Gout in the Adult Population of France.
abstract: 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.
  
  
  CONCLUSIONS
  Gout prevalence in the adult population of France in 2013 was estimated at 0.9%. Studies using self-reporting only might overestimate the prevalence.
authors.affiliation: Assistance Publique Hôpitaux de Paris, Hôpital Lariboisière, F-75010, University Paris Diderot, Sorbonne Paris Cité, F-75205, and INSERM, UMR 1132, F-75010, Paris, France.
authors.forename: Thomas
authors.initials: T
authors.lastname: Bardin
authors.affiliation: Cemka Statistics, Bourg La Reine, France.
authors.forename: Stéphane
authors.initials: S
authors.lastname: Bouée
authors.affiliation: Orgamétrie Biostatistiques, Roubaix, France.
authors.forename: Pierre
authors.initials: P
authors.lastname: Clerson
authors.affiliation: CHU Rennes, Hôpital Sud, and University of Rennes, Rennes, France.
authors.forename: Gérard
authors.initials: G
authors.lastname: Chalès
authors.affiliation: University of Lille, Lille, France.
authors.forename: René-Marc
authors.initials: RM
authors.lastname: Flipo
authors.affiliation: Assistance Publique Hôpitaux de Paris, Hôpital Lariboisière, F-75010, University Paris Diderot, Sorbonne Paris Cité, F-75205, and INSERM, UMR 1132, F-75010, Paris, France.
authors.forename: Frédéric
authors.initials: F
authors.lastname: Lioté
authors.affiliation: Ménarini France, Rungis, France.
authors.forename: Vincent
authors.initials: V
authors.lastname: Perez
authors.affiliation: Ménarini France, Rungis, France.
authors.forename: Thierry
authors.initials: T
authors.lastname: Poiraud
authors.affiliation: Hôpital Pellegrin 33076 and University Bordeaux, Segalen, France.
authors.forename: Thierry
authors.initials: T
authors.lastname: Schaeverbeke
authors.affiliation: Assistance Publique Hôpitaux de Paris, Hôpital Lariboisière, F-75010, University Paris Diderot, Sorbonne Paris Cité, F-75205, and INSERM, UMR 1132, F-75010, Paris, France.
authors.forename: Pascal
authors.initials: P
authors.lastname: Richette
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D003430:Cross-Sectional Studies; D005260:Female; D005602:France / Q000453:epidemiology; D006073:Gout / Q000453:epidemiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012737:Sex Factors; D055815:Young Adult