Analysis on the associated factors of hyperuricemia: based on classification tree model
10.16462/j.cnki.zhjbkz.2019.11.013
- Author:
Xue-ying WANG
1
;
Nan LI
;
Jia-tong GUO
;
Song LENG
Author Information
1. Health Management Center, Second Affiliated Hospital of Dalian Medical University，Dalian 116023,China
- Publication Type:Research Article
- Keywords:
Serum uric acid;
Hyperuricemia;
Risk factors
- From:
Chinese Journal of Disease Control & Prevention
2019;23(11):1364-1369
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the associations between physiological factors, psychosocial factors, dietary habits, lifestyles and hyperuricemia (HUA) and provide the evidence for hyperuricemia intervention. Methods From 2016 to 2017, adults during their checkup in the health management center of the Second Affiliated Hospital of Dalian Medical University were interviewed with self-designed questionnaire and received the health examinations. To determine the influence of socio-economic data, life style habits and psychological factors on the risk of HUA, the classification tree model was adopted. Results A total of 4 118 subjects were enrolled in the study, with an average age of (52.8±7.9) years. The results showed that the prevalence of HUA was higher among people under 30 years old and 40-50 years old who are smoking, drinking and doing the sedentary work, who unsatisfied with their work and under a great mental stress. Factor analysis model identified three dietary patterns, traditional model,fried and smoked food and dessert model and high quality protein model, the cumulative variance contribution rate was 53.886%. In multivariate model, it was found that high-quality protein pattern, physical exercise and fasting plasma glucose (FPG) were negatively associated with HUA. Male, smoking, drinking, having dyslipidemia, higher body mass index (BMI) were risk factors for HUA. Subgroup analysis showed that in both male and female, the high-quality protein patterns were negatively associated with HUA. The pattern of fried and smoked food and dessert patterns was the independent risk factors for HUA in female. Classification tree model showed that male, dyslipidemia, higher BMI grade, and the fried and smoked food and dessert pattern were the risk factors for HUA. Conclusions The influencing factors of HUA in different gender were different, which indicate the individualized health management should be adopted. Male who is overweight or obese should quit smoking and drinking. Women should pay more attention to avoid of the excess intake of fried and smoked food and dessert. Meanwhile, a high-quality protein diet and more physical exercise should be encouraged.
