Analysis of serum uric acid levels and associated factors among primary and middle school students in Tongzhou District, Beijing
10.16835/j.cnki.1000-9817.2021.03.028
- VernacularTitle:北京市通州区中小学生血尿酸水平与影响因素分析
- Author:
JIANG Nan, WANG Shuang, WU Chang
1
Author Information
1. Department of Nutrition and Food Hygiene, Tongzhou District Center for Disease Control and Prevention, Beijing(101100), China
- Publication Type:期刊文章
- Keywords:
Uric acid;
Blood chemical analysis;
Hyperuricemia;
Regression analysis;
Students
- From:
Chinese Journal of School Health
2021;42(3):436-439
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To examine uric acid (UA) levels and their influencing factors among primary and middle school students in the Tongzhou District of Beijing, and to provide referential guidance for the prevention and control of hyperuricemia in teenagers.
Methods:A total of 1 483 students from four middle schools and four primary schools in three cities and three towns in Tongzhou District were selected for a questionnaire survey, physical examination, and blood examination using a multi-stage stratified cluster sampling method. The results of the serum uric acid (SUA) examinations were statistically analyzed and the influencing factors were evaluated.
Results:The UA level of the students was skewed, with a median value of 296.0 mol/L and an interquartile distance of 96.0 mol/L. The overall detection rate of hyperuricemia was 14.83% (220/1 483). Middle school students (342 μmol/L), students from villages and towns (307 μmol/L), males (309 μmol/L), family dining students (298 μmol/L), students with high levels of triglyceride (TG) (318 μmol/L), students with low levels of high-density lipoprotein cholesterol (HDL-C) (329 μmol/L), and obese students (303 μmol/L) all had statistically higher SUA levels(H/U value was 119 938, 229 525, 212 043, 156 347, 42 052, 63 375, 33.49, P<0.05). The univariate analysis showed that the HUA detection rate was higher in older age groups, middle school students, township students, overweight or obese students, and low HDL-C students(χ 2=614.55, 73.20, 6.16, 30.56, 14.50, P<0.05). Multivariate Logistic regression showed that older age, being male, low HDL-C, high LDL-C, overweight, and obesity were risk factors for HUA(P<0.05).
Conclusion:The SUA level and the detection rate of hyperuricemia among primary and middle school students in Tongzhou District were high, and the risk of disease and influencing factors had significant characteristics. Therefore, targeted prevention and control measures should be strengthened.
