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广州市30102名公务员痛风及高尿酸血症调查 被引量:1

Investigation of gout and hyperuricemia in 30102 civil servants of Guangzhou
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摘要 目的了解广州市公务员痛风及高尿酸血症(hyperuricemia,HUA)的流行情况,以及与之相关的健康行为、饮食偏好等影响因素,为制定痛风及HUA干预措施提供依据。方法收集广州30102名公务员的体检结果,并进行问卷调查,计算患病率,分析引起痛风及HUA的相关因素。结果被调查的公务员痛风总患病率、男性、女性患病率分别为8.26%、11.73%、2.15%;HUA总患病率为49.11%,男性为60.58%,女性为28.95%,男女的痛风及HUA患病率差异有统计学意义(P<0.05)。痛风及女性HUA患病率随着年龄段增加而增加,中、青年男性HUA患病率高于老年男性。Logistic回归分析结果显示,脂肪肝、体重指数(BMI)增加、高血压、血脂异常、大量运动、吸烟、喝酒,以及进食内脏、肉食、含糖饮料是高尿酸血症的危险因素,而进食豆制品、水果、奶制品、患糖尿病是高尿酸血症的保护因素。结论被检公务员的痛风及HUA患病率较高,应在其中开展健康教育,倡导合理膳食,适量运动,以达到防治痛风及HUA的目的。 Objective To understand the prevalence of gout and hyperuricemia(HUA)among civil servants in Guangzhou,and the related factors such as health behavior and diet preference,so as to provide the evidence for formulating strategies for the prevention and treatment of gout and HUA.Methods The physical examination results of 30102 civil servants in Guangzhou were collected and investigated by questionnaire.The prevalence rate was calculated and the related factors of gout and hyperuricemia were analyzed.Results The overall prevalence of gout was 8.26%,and it was 11.73%in males and 2.15%in females.The overall prevalence of HUA was 49.11%,and it was 60.58%in males and 28.95%in females.There were statistically significant differences in the prevalence rates of gout and hyperuricemia between males and females(P<0.05).The prevalence of gout and HUA in women increased with age increasing.The prevalence of HUA in young and middle-aged men was higher than that in old men.The results of Logistic regression analysis showed that fatty liver,body mass index(BMI)increasing,hypertension,dyslipidemia,heavy exercise,smoking,drinking,and eating internal organs,meat and sugar containing beverages were risk factors for hyperuricemia,while eating soy products,fruits,dairy products and diabetes were protective factors of hyperuricemia.Conclusion The prevalence of gout and HUA in civil servants is high.Health education,reasonable diet and proper exercise should be carried out to prevent and treat gout and HUA.
作者 黄鲁 姜顾礼 强瑞英 王东江 李玥 HUANG Lu;JIANG Guli;QIANG Ruiying;WANG Dongjiang;LI Yue(Guangzhou Center for Cadre Health Management/Guangzhou Eleventh People's Hospital,Guangzhou,Guangdong510530,China)
出处 《河南预防医学杂志》 2021年第10期771-776,共6页 Henan Journal of Preventive Medicine
基金 广州市科技计划项目(202102080634)
关键词 痛风 高尿酸血症 影响因素 患病率 LOGISTIC回归分析 Gout Hyperuricemia Influencing factors Prevalence Logistic regression analysis
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