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Association between the food and physical activity environment, obesity, and cardiovascular health across Maine counties

机译:在缅因州母县的食物和身体活动环境,肥胖和心血管健康之间的关联

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Accounting for nearly one-third of all deaths, cardiovascular disease is the leading cause of mortality and morbidity in the United States. Adverse health behaviors are major determinants of this high incidence of disease. Examining local food and physical activity environments and population characteristics in a poor, rural state may highlight underlying drivers of these behaviors. We aimed to identify demographic and environmental factors associated with both obesity and overall poor cardiovascular health (CVH) behaviors in Maine counties. Our cross-sectional study analyzed 40,398 Behavioral Risk Factor Surveillance System (BRFSS) 2011-2014 respondents alongside county-level United States Department of Agriculture (USDA) Food Environment Atlas 2010-2012 measures of the built environment (i.e., density of restaurants, convenience stores, grocery stores, and fitness facilities; food store access; and county income). Poor CVH score was defined as exhibiting greater than 5 out of the 7 risk factors defined by the American Heart Association (current smoking, physical inactivity, obesity, poor diet, hypertension, diabetes, and high cholesterol). Multivariable logistic regression models described the contributions of built environment variables to obesity and overall poor CVH score after adjustment for demographic controls. Both demographic and environmental factors were associated with obesity and overall poor CVH. After adjustment for demographics (age, sex, personal income, and education), environmental characteristics most strongly associated with obesity included low full-service restaurant density (OR 1.34; 95% CI 1.24-1.45), low county median household income (OR 1.31; 95% CI 1.21-1.42) and high convenience store density (OR 1.21; 95% CI 1.12-1.32). The strongest predictors of overall poor CVH behaviors were low county median household income (OR 1.30; 95% CI 1.13-1.51), low full-service restaurant density (OR 1.38; 95% CI 1.19-1.59), and low fitness facility density (OR 1.27; 95% CI 1.11-1.46). In a rural state, both demographic and environmental factors predict overall poor CVH. These findings may help inform communities and policymakers of the impact of both social determinants of health and local environments on health outcomes.
机译:占所有死亡的近三分之一,心血管疾病是美国死亡率和发病率的主要原因。不良健康行为是这种高发病率的主要决定因素。检查当地的食物和身体活动环境和贫困人口特征,乡村国家可能突出这些行为的潜在司机。我们旨在识别缅因州敌对肥胖和整体贫困心血管健康(CVH)行为相关的人口统计和环境因素。我们的横截面研究分析了40,398个行为风险因素监测系统(BRFSS)2011-2014受访者与县级美国农业部(USDA)食品环境阿特拉斯2010-2012建筑环境(即餐馆密度,方便商店,杂货店和健身设施;食品店访问;和县收入)。糟糕的CVH得分被定义为展出美国心脏协会(目前吸烟,物理不活跃,肥胖,饮食,高血压,糖尿病患者,饮食,高血压,糖尿病和高胆固醇)的7种风险因素中的展出大于5。多变量逻辑回归模型描述了在调整人口控制后,构建环境变量对肥胖和整体差的CVH分数的贡献。人口统计和环境因素都与肥胖和整体贫困的CVH相关。在调整人口统计学(年龄,性别,个人收入和教育)后,与肥胖有关的环境特征包括低全方位服务的餐厅密度(或1.34; 95%CI 1.24-1.45),低县中位数家庭收入(或1.31 ; 95%CI 1.21-1.42)和高便利储存密度(或1.21; 95%CI 1.12-1.32)。整体贫困性CVH行为的最强预测因子是低县中位数家庭收入(或1.30; 95%CI 1.13-1.51),低全方位服务的餐厅密度(或1.38; 95%CI 1.19-1.59),以及低健身设施密度(或1.27; 95%CI 1.11-1.46)。在农村国家,人口统计和环境因素都预测了整体差的CVH。这些调查结果可以帮助社区和政策制定者提供健​​康和当地环境的社会决定因素对健康结果的影响。

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