摘要
目的调查北京市通州区部分事业单位公务人员脂肪肝的患病率及其主要危险因素。方法测定1 336名体检者的体质指数、血压、血糖、血脂水平,并根据腹部B超检查结果诊断脂肪肝;代谢综合症（MS）采用中华医学会糖尿病分会的诊断标准。结果公务人员脂肪肝的患病率为30.4%（406人）,脂肪肝的患病率存在性别差异（P〈0.01）,并具有随年龄增长而增高的趋势（Z=-8.500,P〈0.01）;脂肪肝的患病率与MS有关,合并MS者脂肪肝风险约增加6倍（（OR=7.23,95%CI=4.86-10.76,P〈0.01））,调整年龄、性别及年龄或性别与MS的交互项,Logistic回归显示性别对MS与脂肪肝的相关性具有一定的混杂作用（P〈0.05）;脂肪肝的患病率具有随合并MS的代谢异常数目增加而增高的趋势（（Z=-17.941,P〈0.01））。结论北京市通州区部分事业单位公务人员脂肪肝的患病率较高,且与年龄、性别及MS密切相关,但尚需进一步研究证实原因。
Objective To investigate the prevalence and important risk factors of fatty liver among civil servants in Tongzhou district of Beijing. Methods Totally 1 336 civil servants taking physical examination in hospitals were measured for body mass index （ BMI）, blood pressure （ Bp）, serum triglyceride （ TG）, total cholesterol （ TC）, and blood glucose. Fatty liver cases were diagnosed with type B ultrasonic tomography. Metabolic syndrome （ MS ） was confirmed according to the criteria of Chinese Diabetes Society （CDS） in 2004. Results The prevalence of fatty liver disease in the civil servants was 30. 4% （95% confidence interval [ CI] ： 27. 9% - 32.9% ）, with a significant gender difference （ P 〈 0. 01 ）. There was a trend for the prevalence to be increased with age（Z = -8. 500 ,P 〈0. 001 ）. The prevalence was closely related to MS. The servants with MS showed a higher risk of fatty liver（ odds ratio = 7. 23,95% C1：4. 86 - 10. 76 ;P 〈0. 01 ）. After adjusting for age, gender, and interaction of age and gender for MS, logistic regression analyses showed that gender was a confounder factor for the relation of MS and fatty liver（P 〈0. 05）. The prevalence of fatty liver increased with the number of MS components （Z = - 17. 941 ,P 〈0. 01 ）. Conclusion The fatty liver prevalence among the civil servants of Tongzhou district in Beijing is relatively high and closely related to age, gender, and the development of MS. Further study is needed to explore the risk factors of fatty liver.
出处
《中国公共卫生》
CAS
CSCD
北大核心
2011年第9期1177-1179,共3页
Chinese Journal of Public Health
关键词
脂肪肝
患病率
危险因素
公务人员
fatty liver
prevalence
risk factor
civil servant
