本文選題：糖尿病 + 型�。� 參考：《中華疾病控制雜志》2017年11期

【摘要】：目的以2型糖尿病為例,探討具有層次聚集性變量的多水平模型的構(gòu)建。方法用2015年蚌埠市龍子湖區(qū)慢性非傳染性疾病調(diào)查中的2型糖尿病相關(guān)數(shù)據(jù)作為研究案例,采用R 3.3.1軟件對2型糖尿病的影響因素進行單水平和多水平Logistic回歸分析。結(jié)果單水平Logistic回歸和多水平Logistic回歸分析篩選的影響因素不完全一致,主要有年齡、糖尿病家族史、高血壓病史、水果攝入頻率、糖化血紅蛋白和體質(zhì)指數(shù)(body mass index,BMI)。非超重(BMI≤23.9 kg/m~2)與超重(BMI≥24.0 kg/m~2)在單水平Logistic回歸中有差異(均有P0.05),在多水平Logistic回歸中顯示無差異(均有P0.05)。赤池信息準(zhǔn)則(akaike information criterion,AIC)在單水平和多水平Logistic回歸模型的值分別為1 550.2和1 535.3。結(jié)論單水平與多水平Logistic回歸模型所得出的結(jié)論并不完全一致,多水平模型在具有層次聚集性的數(shù)據(jù)分析中更具有優(yōu)勢。基于2型糖尿病的層次聚集性,應(yīng)該以社區(qū)服務(wù)站為基礎(chǔ)開展2型糖尿病的防控工作。
[Abstract]:Objective to study the construction of multi-level model with hierarchical aggregation variables in type 2 diabetes mellitus. Methods the data of type 2 diabetes mellitus in the Longzihu District of Bengbu City in 2015 were used as a case study. The single and multilevel logistic regression analysis was carried out on the influencing factors of type 2 diabetes by R3.3.1 software. Results the influencing factors of single level logistic regression and multilevel logistic regression analysis were different. The main factors were age, family history of diabetes, history of hypertension, frequency of fruit intake, glycosylated hemoglobin and body mass index (body mass). Non-overweight (kg/m~2 鈮，

本文編號：2073921