Risk factors of gout in Jinchang cohort: a Cox regression analysis

Abstract

Objective: To explore the incidence and risk factors of gout in Jinchang cohort and provide scientific evidence for the prevention and control of gout. Methods: People without gout detected by baseline survey in Jinchang cohort were selected as study subjects. All the subjects were followed up through questionnaire interview, physical examination as well as laboratory test from January 24, 2013 to November 24, 2015. Cox regression model was used to analyze the risk factors for gout in Jinchang cohort. In addition, log-linear model was used to analyze the interaction between risk factors. Results: A total of 33 153 subjects were followed up, and there were 277 newly diagnosed gout cases in the cohort. The overall incidence of gout was 0.8%. The incidence of gout in males was higher than that in the females, but the incidence of gout in males and females was similar after the age of 60 years. Cox regression analysis showed that age >40 years (at age 40 to 59 years: HR=2.982, 95%CI: 1.503-5.981; at age 60 to 91 years: HR=2.588, 95%CI: 1.107-6.049), alcohol abuse (HR=2.234, 95% CI: 1.128-4.427), obesity (HR=2.204, 95% CI: 1.216-3.997), diabetes (HR=2.725, 95% CI: 1.500-4.950) and high uric acid (HR=5.963, 95%CI: 3.577-9.943) were risk factors for gout, while weekly beans intake ≥0.25 kg (HR=0.528, 95%CI: 0.345-0.808) and regular physical exercise (HR=0.499, 95% CI: 0.286-0.869) were protective factors for gout. The analysis with log-linear model showed that there were two order effects between the risk factors. Conclusions: Age, beans intake, alcohol abuse, physical exercises, obesity, diabetes and high uric acid were important factors influencing the incidence of gout. It is important to have healthy lifestyle and dietary habits, receive regular health examination to prevent and control the incidence of gout in this cohort.