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社区医务人员高尿酸血症与生活方式的相关性
引用本文:王云轩1,冯 妍1,朱平辉2,张淼淼1,张 军1,王以新1. 社区医务人员高尿酸血症与生活方式的相关性[J]. 医学信息, 2019, 0(19): 114-115118. DOI: 10.3969/j.issn.1006-1959.2019.19.036
作者姓名:王云轩1  冯 妍1  朱平辉2  张淼淼1  张 军1  王以新1
作者单位:(1.首都医科大学附属北京安贞医院/北京市心肺血管疾病研究所,北京 100029;2.北京市昌平区医院,北京 102200)
摘    要:目的 分析社区医务人员高尿酸血症与生活方式的相关性。方法 对2018年7月18日~8月17日北京市某三级医院432名工作人员进行问卷调查及血尿酸水平检测,采用单因素分析及多因素Logistic回归分析高尿酸血症与生活方式的相关性。结果 共调查院内工作人员365名,高血尿酸血症患者49例,患病率为13.42%(49/365),其中男性高尿酸血症患病率高于女性,差异有统计学意义(P<0.05);35~45岁年龄人群高尿酸血症患病率高于其余年龄人群,差异有统计学意义(P<0.05);不同婚姻状态及岗位类别人群中高尿酸血症患病率比较,差异无统计学意义(P>0.05)。不同锻炼时间人群中高尿酸血症患病率比较,差异无统计学意义(P>0.05);不同主食量、肉类量、鱼类量、锻炼次数、工作时间人群中高尿酸血症患病率比较,差异有统计学意义(P<0.05)。Logistic回归分析结果显示,主食量、鱼类量、锻炼次数、工作时间是高尿酸血症患病率的独立危险因素。结论 北京市某三级医院院内工作人员高尿酸血症患病率男性高于女性,在对高尿酸血症患者采取生活方式干预时,应从每日主食总量和鱼类总量、锻炼频率和工作时间这几方面进行,提倡合理科学饮食,加强体育锻炼,改变生活方式。

关 键 词:高尿酸血症  生活方式  影响因素

Correlation Between Hyperuricemia and Lifestyle in Community Medical Staff
WANG Yun-xuan1,FENG Yan1,ZHU Ping-hui2,ZHANG Miao-miao1,ZHANG Jun1,WANG Yi-xin1. Correlation Between Hyperuricemia and Lifestyle in Community Medical Staff[J]. Medical Information, 2019, 0(19): 114-115118. DOI: 10.3969/j.issn.1006-1959.2019.19.036
Authors:WANG Yun-xuan1  FENG Yan1  ZHU Ping-hui2  ZHANG Miao-miao1  ZHANG Jun1  WANG Yi-xin1
Affiliation:(1.Beijing Anzhen Hospital,Capital Medical University/Beijing Institute of Heart Lung and Blood Vessel Diseases,Beijing 100029,China;2.Beijing Changping District Hospital,Beijing 102200,China)
Abstract:Objective Analysis of factors related to hyperuricemia and lifestyle in community health workers. Methods Through a questionnaire survey and blood uric acid level testing of 432 staff members from a third-grade hospital in Beijing from July 18 to August 17, 2018, the factors related to lifestyle were analyzed by univariate analysis and multivariate logistic regression.Results A total of 365 staff members and 49 patients with hyperuricemia were enrolled. The prevalence rate was 13.42% (49/365). The prevalence of hyperuricemia in men was higher than that in women,the difference was statistically significant (P<0.05); the prevalence of hyperuricemia in the 35-45 age group was higher than that in the other age groups,the difference was statistically significant (P<0.05). There was no significant difference in the prevalence of hyperuricemia between different marital status and post categories (P>0.05). There was no significant difference in the prevalence of patients with hyperuricemia in different exercise time groups (P>0.05).There were statistically significant difference in the prevalence of hyperuricemia among people with difference amount of staple food, meat, fish, exercise and working hours(P<0.05). Logistic regression analysis showed that the main food intake, fish volume, exercise times, and working time were independent risk factors for the prevalence of hyperuricemia.Conclusion The prevalence of hyperuricemia in hospital staff in a third-grade hospital in Beijing is higher than that in women. In the case of lifestyle intervention for patients with hyperuricemia, the total daily staple food and total fish, exercise frequency and Intervention in working hours, promoting a rational scientific diet, strengthening physical exercise, and changing lifestyles.
Keywords:Hyperuricemia  Lifestyle  Influencing factors
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