[Risk factors of gout in Jinchang cohort: a Cox regression analysis]
1Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
Insights
Gout incidence in the Jinchang cohort was 0.8%, with age, alcohol, obesity, diabetes, and high uric acid as key risk factors. Healthy lifestyle choices like regular exercise and bean consumption can help prevent gout.
Area of Science:
- Epidemiology
- Public Health
- Rheumatology
Background:
- Gout is a prevalent inflammatory arthritis.
- Understanding its incidence and risk factors is crucial for public health strategies.
- The Jinchang cohort provides a unique population for studying gout epidemiology.
Purpose of the Study:
- To determine the incidence of gout in the Jinchang cohort.
- To identify significant risk and protective factors associated with gout development.
- To provide evidence for gout prevention and control measures.
Main Methods:
- A prospective cohort study involving 33,153 participants without gout at baseline.
- Data collection via questionnaire, physical examination, and laboratory tests from 2013 to 2015.
- Statistical analysis using Cox regression and log-linear models to identify risk factors and interactions.
Main Results:
- The overall gout incidence was 0.8% over the study period.
- Significant risk factors included age over 40, alcohol abuse, obesity, diabetes, and elevated uric acid levels.
- Protective factors were weekly bean intake (≥0.25 kg) and regular physical exercise.
Conclusions:
- Age, alcohol consumption, obesity, diabetes, and high uric acid are modifiable risk factors for gout.
- Dietary habits (bean intake) and physical activity play a protective role.
- Promoting healthy lifestyles and regular health check-ups is essential for gout prevention in this population.
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.
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