Clinical Rheumatology

, Volume 31, Issue 2, pp 239–245 | Cite as

Gender-specific risk factors for incident gout: a prospective cohort study

  • Jiunn-Horng Chen
  • Wen-Ting Yeh
  • Shao-Yuan Chuang
  • Yi-Ying Wu
  • Wen-Harn PanEmail author
Original Article


Previous reports suggested that gout incidence increased with serum uric acid (sUA) level. In addition to sUA, we aimed to examine the gender-specific risk factors for incident gout. A prospective study was conducted using data of the MJ Health Screening Center and outcome database from Taiwan’s National Health Insurance. Cox proportional hazard model was used for risk analysis of incident gout. During a mean follow-up of 7.31 years for 132,556 individuals aged ≥18 years, 1,606 subjects (1,341 men and 265 women) with clinical gout were defined. Hyperuricemia (sUA ≥7.7 mg/dL for men or ≥6.6 mg/dL for women) was the most important risk factor for gout development with a respective hazard ratio of 9.65 (95% confidence level, 8.53–10.9) for men and 9.28 (7.00–12.3) for women. The age-standardized sUA–gout relationship demonstrated a differential impact of sUA level on gout incidence between men and women. Metabolic comorbidities of hypertension, obesity, and hyperlipidemia were significantly associated with gout with respective HR of 1.32 (1.17–1.48), 1.30 (1.15–1.47), and 1.12 (0.99–1.26) for men and 1.34 (1.02–1.77), 2.15 (1.67–2.76), and 1.70 (1.32–2.19) for women. However, the relationship between diabetes and incident gout was not as prominent. The sex difference of sUA–gout relationship and the association between metabolic comorbidities and incident gout were demonstrated. Generalizability of these findings to other ethnic population needs further investigation.


Cohort study Gout Hyperuricemia Sex 



This study was supported by the grant from the National Science Council in Taiwan (NSC97-2314-B-039-010-MY3) and that from the China Medical University Hospital (DMR-98-010). We thank the Bureau of Health Promotion, Department of Health, R.O.C. (Taiwan) for assisting in linking the MJ Health Screening Centers database to the National Health Insurance Dataset.




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Copyright information

© Clinical Rheumatology 2011

Authors and Affiliations

  • Jiunn-Horng Chen
    • 1
    • 2
  • Wen-Ting Yeh
    • 3
  • Shao-Yuan Chuang
    • 4
  • Yi-Ying Wu
    • 5
  • Wen-Harn Pan
    • 3
    • 4
    Email author
  1. 1.School of MedicineChina Medical UniversityTaichungTaiwan
  2. 2.Division of Rheumatology, Internal Medicine DepartmentChina Medical University HospitalTaichungTaiwan
  3. 3.Division of Epidemiology and Genetics, Institute of Biomedical SciencesAcademia SinicaTaipeiTaiwan
  4. 4.Division of Preventive Medicine and Health Service Research, Institute of Population Health SciencesNational Health Research InstitutesMiaoliTaiwan
  5. 5.Department of Medical Laboratory Science & BiotechnologyChina Medical UniversityTaichungTaiwan

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