摘要
目的 了解大学生人群高尿酸血症的检出情况及相关因素,为大学生高尿酸血症的防治提供依据。方法 选取苏州大学2021年参加入学体检的11 858名学生体检数据,比较不同特征组高尿酸血症的检出率,并采用多因素Logistic回归探讨大学生高尿酸血症的影响因素。结果 高尿酸血症检出3 372例,检出率为28.4%。男生检出率(42.4%)高于女生(14.6%),检出率随体质量指数(BMI)值升高而上升,高血压患者及本科生中检出率高于其他组(χ^(2)值分别为1 126.2,180.7,138.2,107.9,P值均<0.01)。多因素Logistic回归分析发现,男性、低龄、高BMI、高血压和高血红蛋白水平均与大学生高尿酸血症的发生呈正相关,而高肾小球滤过率与高尿酸血症的发生呈负相关(P值均<0.01)。结论 针对高尿酸血症的高检出率,应加强对大学生尤其是本科生、男生、超重肥胖者、高血压患者及高血红蛋白水平者进行有针对性的健康宣教。
Objective To understand the prevalence of hyperuricemia in university students and examine associated factors,and to provide evidence for the prevention and treatment of hyperuricemia.Methods Health examination data of 11 858 students for admission in October 2021 were used to compare the detection rates between groups with different characteristics.Multivariable Logistic regression was performed to identify potential factors associated with hyperuricemia.Results A total of 3 372 cases of hyperuricemia were found,with a detection rate of 28.4%.The detection rate of male students was significantly higher than that of female students(42.4%,14.6%).The rate increased with higher BMI.Moreover,the detection rate was higher among undergraduates and those with hypertension(χ^(2)=1 126.2,180.7,138.2,107.9,P<0.01).Multivariable Logistic regression analysis showed that male sex,younger age,higher BMI,hypertension and higher hemoglobin level were positively associated with hyperuricemia,whereas higher glomerular filtration rate was negatively associated among the students(P<0.01).Conclusion Greater attention should be given to hyperuricemia in university students,and targeted health education should be strengthened for them,especially undergraduates,boys,overweight and obese students,and those with hypertension or high hemoglobin levels.
作者
郭丽
张秀花
朱旻
GUO Li;ZHANG Xiuhua;ZHU Min(Department of Disease Prevention and Health Care,Soochow University Hospital,Suzhou 215006,Jiangsu Province,China)
出处
《中国学校卫生》
CAS
北大核心
2022年第7期1083-1085,共3页
Chinese Journal of School Health
关键词
高尿酸血症
人体质量指数
血压
回归分析
学生
Hyperuricemia
Body mass index
Blood pressure
Regression analysis
Students