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Residence in a Distressed County in Appalachia as a Risk Factor for Diabetes, Behavioral Risk Factor Surveillance System, 2006-2007

机译:2006-2007年,行为危险因素监测系统,将阿巴拉契亚州贫困县的居民作为糖尿病的危险因素

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IntroductionWe compared the risk of diabetes for residents of Appalachian counties to that of residents of non-Appalachian counties after controlling for selected risk factors in states containing at least 1 Appalachian county.MethodsWe combined Behavioral Risk Factor Surveillance System data from 2006 and 2007 and conducted a logistic regression analysis, with self-reported diabetes as the dependent variable. We considered county of residence (5 classifications for Appalachian counties, based on economic development, and 1 for non-Appalachian counties), age, sex, race/ethnicity, education, household income, smoking status, physical activity level, and obesity to be independent variables. The classification “distressed”refers to counties in the worst 10%, compared with the nation as a whole, in terms of 3-year unemployment rate, per capita income, and poverty.ResultsControlling for covariates, residents in distressed Appalachian counties had 33% higher odds (95% confidence interval, 1.10-1.60) of reporting diabetes than residents of non-Appalachian counties. We found no significant differences between other classifications of Appalachian counties and non-Appalachian counties.ConclusionsResidents of distressed Appalachian counties are at higher risk of diabetes than are residents of other counties. States with distressed Appalachian counties should implement culturally sensitive programs to prevent diabetes.
机译:简介在控制了包含至少一个阿巴拉契亚县的州的选定风险因素后,我们比较了阿巴拉契亚县居民与非阿巴拉契亚县居民的糖尿病风险。方法我们结合2006年和2007年的行为风险因素监测系统数据,进行了Logistic回归分析,以自我报告的糖尿病为因变量。我们认为居住县(根据经济发展情况,阿巴拉契亚县有5种分类,非阿巴拉契亚县有1种分类),年龄,性别,种族/民族,教育程度,家庭收入,吸烟状况,体育活动水平和肥胖症自变量。在3年失业率,人均收入和贫困方面,“陷入困境”的类别指的是与整个国家相比最糟糕的10%的郡。结果在控制协变量的情况下,陷入困境的阿巴拉契亚郡居民中有33%报告糖尿病的几率(非阿巴拉契亚县居民)更高(95%置信区间,1.10-1.60)。我们发现阿巴拉契亚县的其他类别与非阿巴拉契亚县之间没有显着差异。结论阿巴拉契亚县的居民患糖尿病的风险比其他县城的居民高。阿巴拉契亚县陷入困境的国家应实施文化敏感计划以预防糖尿病。

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