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Overlapping geographic clusters of food security and health: Where do social determinants and health outcomes converge in the U.S?

机译:重叠的粮食安全和卫生地理区域:在美国,社会决定因素和健康结果在哪里融合?

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We identified overlapping geographic clusters of food insecurity and health across U.S. counties to identify potential shared mechanisms for geographic disparities in health and food insecurity. By analyzing health variables compiled as part of the 2014 Robert Wood Johnson Foundation County Health Rankings, we constructed four health indices and compared their spatial patterns to spatial patterns found in food insecurity data obtained from 2014 Feeding America's County Map the Meal Gap data. Clusters of low and high food security that overlapped with clusters of good or poor health were identified using Local Moran's I statistics. Next, multinomial logistic regressions were estimated to identify sociodemographic, urban/rural, and economic correlates of counties lying within overlapping clusters. In general, poor health and high food insecurity clusters, “unfavorable cluster overlaps”, were present in the Mississippi Delta, Black Belt, Appalachia, and Alaska. Overlapping good health and low food insecurity clusters, “favorable cluster overlaps”, were less common and located in the Corn Belt and New England. Counties with higher black populations and higher poverty were associated with an increased likelihood of lying within overlapping clusters of poor health and high food insecurity. Generally consistent patterns in spatial overlaps between food security and health indicate potential for shared causal mechanisms. Identified regions and county-level characteristics associated with being located inside of overlapping clusters may be used in future place-based intervention and policy. Highlights ? Overlapping geographic clusters of poor health and food insecurity were examined. ? Overlapping clusters of unfavorable outcomes (i.e. poor health and high food insecurity) were more frequent than overlapping clusters of favorable outcomes. ? Counties with higher black populations and higher poverty were associated with an increased likelihood of lying in overlapping clusters of unfavorable outcomes.
机译:我们确定了美国各县之间粮食安全和卫生状况重叠的地理区域,以确定潜在的共享机制来解决卫生和粮食不安全状况的地理差异。通过分析作为2014年罗伯特伍德·约翰逊基金会县健康排名的一部分而编制的健康变量,我们构建了四个健康指数,并将它们的空间格局与从2014年《美国喂养的县地图上的膳食差距》数据获得的食品不安全数据中发现的空间格局进行了比较。根据当地Moran的I统计资料,可以确定低食品安全水平和高食品安全水平与健康状况好坏之间的重叠。接下来,估计多项式逻辑回归,以识别重叠集群内各县的社会人口统计学,城市/农村和经济相关性。总体而言,密西西比河三角洲,黑带,阿巴拉契亚和阿拉斯加存在着不良的健康状况和高度的粮食不安全状况,即“不利的状况重叠”。良好的健康状况和低粮食不安全状况的重叠,“有利的重叠重叠”在玉米带和新英格兰很少见。黑人人口较多,贫困程度较高的县与健康状况差和粮食不安全程度高的重叠群体处于同一个可能性有关。粮食安全与卫生之间空间重叠的总体上一致的模式表明了潜在的共同因果机制。与将来位于重叠集群内部相关联的已识别区域和县级特征可用于将来的基于位置的干预和政策。强调 ?检查了健康状况差和粮食不安全的重叠地理区域。 ?重叠的不利结果(即健康状况不佳和高度粮食不安全)集群比重叠的有利结果集群更为频繁。 ?黑人人口较多和贫困程度较高的县与处于不利结果重叠部分的可能性增加有关。

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