發(fā)布時間：2018-05-24 23:31

  本文選題：限制性立方樣條 + 糖尿病��； 參考：《中國衛(wèi)生統(tǒng)計》2017年06期

【摘要】：目的使用限制性立方樣條模型探討B(tài)MI連續(xù)變化與糖尿病患病關(guān)聯(lián)強度的劑量-反應(yīng)關(guān)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(yǎng)老追蹤的基線調(diào)查數(shù)據(jù),共納入受訪者9708名。應(yīng)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(guān)聯(lián)及劑量-反應(yīng)關(guān)系。結(jié)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(diào)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(yīng)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(guān)具有統(tǒng)計學(xué)意義。限制性立方樣條分析結(jié)果顯示,不論性別和年齡分層,BMI連續(xù)變化與糖尿病患病的關(guān)聯(lián)強度都呈非線性劑量-反應(yīng)關(guān)系(非線性檢驗,P0.001)。結(jié)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(guān)注BMI連續(xù)變化(而非傳統(tǒng)BMI水平)為重點的糖尿病預(yù)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(xué)湘雅公共衛(wèi)生學(xué)院流行病與衛(wèi)生統(tǒng)計學(xué)系;
【分類號】：O212;R587.1
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本文編號：1931083