Epidemiological investigation of risk factors for gout patients in Changsha city, Hunan province
ZHANG Yang-nan1,3, ZHANG Meng-yu2, GAO Ying1,3, CHEN Ying1,3, YAN Yan2, NING Wang-bin1
1. Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; 2. School of Mathematics and Statistics, Central South University, Changsha, Hunan 410083, China 3. Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China
Abstract：Objective To survey the characteristics of risk factors for gout patients in Changsha city, Hunan province, and to provide a scientific basis for clinical prevention and treatment of gout. Methods We randomly selected 102 gout patients (the gout group) and 105 non-gout patients (the control group) confirmed by Rheumatology and Immunology Department of Xiangya Hospital in Changsha city from July 2017 to October 2018 to serve as the research subjects. Questionnaire surveys were conducted, and then single factor and multiple factor analyses were performed to identify the correlation between each factor and pathogenesis of gout. Results There were statistically significant differences in the constituent ratio of male and female (male: 95.10% vs. 42.86%), age ((46.02±14.49) years old vs. (36.88±13.40) years old), body mass index ((24.70±0.28) kg/m2vs. (22.95±0.46) kg/m2), the constituent ratio of labor intensity (high labor intensity: 54.90% vs. 7.62%), the proportion of history of drinking (52.94% vs. 14.29%), the proportion of history of smoking (36.28% vs. 15.24%), the proportion of history of hypertension (28.43% vs. 8.57%), the proportion of history of hyperlipoidemia (42.16% vs. 9.52%) and the proportion of history of kidney diseases (21.57% vs. 1.91%) between the gout group and the control group (all P<0.05). Multi-factor unconditional logistic regression analysis based on considering whether suffering gout as a dependent variable indicated that male (OR=6.245, 95%CI:1.647-23.669), history of drinking (OR=2.404, 95%CI:1.231-7.039), history of kidney diseases (OR=12.669, 95%CI:1.609-99.737) and high labor intensity (OR=4.415, 95%CI:1.605-12.148) were independent risk factors for gout. Conclusions It is very important for the male, the elderly, the obese, workers with high labor intensity, drinkers, smokers and people with history of hypertension, hyperlipidemia and kidney diseases to maintain strict and constant vigilance over gout.
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2019, Vol. 26 
