摘要
目的了解社会经济发展水平与35~74岁人群糖尿病流行状况的关联,为地区糖尿病流行的风险评价和疾病防控政策、措施制定提供参考。方法利用2010年中国慢性病及其危险因素监测资料,人口普查和年鉴数据,用主成分分析法对社会经济发展指标进行降维处理。以个体为水平1,以县(区)为水平2,利用两水平logistic回归随机截距模型分析社会经济发展水平与35~74岁人群糖尿病流行状况的关联性。共纳入156个县(区)的35~74岁居民68415人进行研究。采用SAS 9.4和MLwiN 2.30进行统计分析。结果15个经济学社会发展指标降维得到5个公因子,分别代表社会发展、工业发展、污染物排放、城市建设和人口老龄化,累积贡献率为80.47%。社会发展中三分位数组和上三分位数组的糖尿病患病风险高于下三分位数组,OR值分别为1.247(95%CI:1.047~1.485)和1.520(95%CI:1.299~1.778);污染物排放上三分位数组的患病风险高于下三分位数组,OR值为1.309(95%CI:1.122~1.529);城市建设中三分位数和上三分位数组的患病风险高于下三分位数组,OR值分别为1.210(95%CI:1.032~1.418)和1.253(95%CI:1.061~1.480)。控制混杂因素后,社会发展和污染物排放上三分位数组的患病风险仍然高于下三分位数组,校正OR值分别为1.256(95%CI:1.082~1.457)和1.174(95%CI:1.018~1.355),其他社会经济发展水平之间糖尿病患病风险差异无统计学意义(P>0.05)。结论社会发展和污染物排放水平高地区的糖尿病患病风险高于水平低地区,应该引起政府及有关部门的广泛重视。
Objective To study the association of socioeconomic development with diabetes in Chinese adults(35-74 years old),and to provide the reference for the risk assessment of diabetes epidemic,for the formulation of disease prevention and control policies and measures.Methods The data were from the 2010 survey of China Chronic Diseases and Risk Factors Surveillance,census and yearbook;the principal components analysis was used to reduce the dimension of indicators of socioeconomic development.The individual level served as 1,county(district)level served as 2,the logistic regression of two levels was used to analyze the association of socioeconomic development with diabetes in Chinese adults(35-74 years old).In this study,68415 subjects(35-74 years old)from 156 districts or counties were included.The used software were SAS 9.4 and MLwiN 2.30.Results The 15 socioeconomic development indicators were reduced to 5 common factors by principal component analysis,which respectively represented the social development,industrial development,pollutant emission,urban construction and population aging,with a cumulative contribution rate of 80.46%.The diabetes risks of middle-level(Tertile 2)group and high-level(Tertile 3)group of social development were higher than that of low-level(Tertile 1),OR values were 1.247(95%CI:1.047-1.485)and 1.520(95%CI:1.299-1.778);the diabetes risk of high-level(Tertile 3)group of pollutant emission was higher than that of low-level(Tertile 1),OR value was 1.309(95%CI:1.122-1.529);the diabetes risks of middle-level(Tertile 2)group and high-level(Tertile 3)group of urban construction were higher than those of low-level(Tertile 1),OR values were 1.210(95%CI:1.032-1.418)and 1.253(95%CI:1.061-1.480).After adjusting the confused factors,the diabetes risks of high-level(Tertile 3)groups of social development and pollutant emission were still higher than that of low-level(Tertile 1),OR values were 1.256(95%CI:1.082-1.457)and 1.174(95%CI:1.018-1.355);there were no significant differences of diabetes risks among other socioeconomic development levels(P>0.05).Conclusion The diabetes risks in areas with high social development and pollutant emission levels are higher than those of low-level,so the government should pay attention to this issue.
作者
王琦琦
于石成
徐成东
刘剑君
李媛秋
张曼晖
龙晓娟
刘韫宁
毕宇芳
赵文华
么鸿雁
WANG Qi-qi;YU Shi-cheng;XU Cheng-dong;LIU Jian-jun;LI Yuan-qiu;ZHANG Man-hui;LONG Xiao-juan;LIU Yun-ning;BI Yu-fang;ZHAO Wen-hua;YAO Hong-yan(Chinese Center for Disease Control and Prevention,Beijing 102206,China;不详)
出处
《中国慢性病预防与控制》
CAS
CSCD
北大核心
2020年第2期115-120,共6页
Chinese Journal of Prevention and Control of Chronic Diseases
基金
国家重点研发计划(2018YFC1315305)
中国疾病预防控制中心科研项目(JY18-2-22)
中国疾病预防控制中心公共卫生突发应急反应机制运行项目(131031001000150001).
关键词
糖尿病
社会经济发展
主成分分析
多水平模型
Diabetes
Socioeconomic development
Principal component analysis
Multilevel model