本文選題：限制性立方樣條 + 糖尿病��； 參考：《中國衛生統計》2017年06期

【摘要】：目的使用限制性立方樣條模型探討BMI連續變化與糖尿病患病關聯強度的劑量-反應關系。方法采用代表中國45歲及以上中老年人群的2011年中國健康與養老追蹤的基線調查數據,共納入受訪者9708名。應用非條件logistic回歸和限制性立方樣條模型分析BMI與糖尿病患病關聯及劑量-反應關系。結果 2011年我國45歲及以上中老年人糖尿病患病率(95%CI)為14.77%(14.06%~15.48%)。調整混雜因素(性別、年齡、文化程度、飲酒、午睡、腰圍、總膽固醇和C反應蛋白)之后,超重(OR=1.21,95%CI:1.04~1.41)、肥胖(OR=1.64,95%CI:1.37~1.97)與糖尿病患病相關具有統計學意義。限制性立方樣條分析結果顯示,不論性別和年齡分層,BMI連續變化與糖尿病患病的關聯強度都呈非線性劑量-反應關系(非線性檢驗,P0.001)。結論高BMI(超重/肥胖)是糖尿病患病的獨立、劑量依賴性的危險因素,提示以關注BMI連續變化(而非傳統BMI水平)為重點的糖尿病預防將變得更為迫切。
[Abstract]:Objective using a restrictive cubic spline model to explore the dose response relationship between the continuous changes of BMI and the intensity of diabetes mellitus. Methods the baseline survey data of Chinese health and pension tracking in 2011, representing 45 years and older in China, were used to include 9708 people. The non conditional logistic regression and restrictive cube were used. A spline model was used to analyze the relationship between BMI and diabetes and the dose response relationship. Results the prevalence rate of diabetes (95%CI) was 14.77% (14.06%~15.48%) in Chinese aged 45 and older in 2011. After adjusting for confounding factors (sex, age, education, drinking, siesta, waist, total cholesterol and C reactive protein), overweight (OR=1.21,95%CI:1.04~1.41), The correlation between obesity (OR=1.64,95%CI:1.37~1.97) and diabetes was statistically significant. Restrictive cubic spline analysis showed that the continuous changes in BMI and diabetes were both nonlinear dose response relationship (nonlinear test, P0.001), regardless of sex and age stratification. Conclusion high BMI (overweight / obesity) is a diabetes disease. The independent, dose-dependent risk factors suggest that diabetes prevention, which focuses on continuous BMI changes (rather than traditional BMI levels), will become more urgent.
【作者單位】： 中南大學湘雅公共衛生學院流行病與衛生統計學系;
【分類號】：O212;R587.1
，

本文編號：1931083