Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
Prev Chronic Dis. 2010 Sep;7(5):A104. Epub 2010 Aug 15.
We 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.
We 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.
Controlling 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.
Residents 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.
我们比较了阿巴拉契亚县居民和非阿巴拉契亚县居民的糖尿病风险,在控制了至少包含一个阿巴拉契亚县的州中选择的风险因素后。
我们结合了 2006 年和 2007 年的行为风险因素监测系统数据,并进行了逻辑回归分析,以自我报告的糖尿病为因变量。我们考虑了居住的县(基于经济发展的 5 种阿巴拉契亚县分类和 1 种非阿巴拉契亚县分类)、年龄、性别、种族/民族、教育、家庭收入、吸烟状况、身体活动水平和肥胖情况作为独立变量。“贫困”分类是指与全国相比,失业率、人均收入和贫困率三年来最差的 10%的县。
在控制了协变量后,报告患有糖尿病的贫困阿巴拉契亚县居民的几率比非阿巴拉契亚县居民高 33%(95%置信区间,1.10-1.60)。我们没有发现其他阿巴拉契亚县分类与非阿巴拉契亚县之间存在显著差异。
贫困阿巴拉契亚县的居民患糖尿病的风险高于其他县的居民。有贫困阿巴拉契亚县的州应实施具有文化敏感性的计划来预防糖尿病。