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Improving the Environmental Quality Component of the County Health Rankings Model

机译:改善县健康排名模型的环境质量要素

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摘要

Objectives. We examined the association between environmental quality measures and health outcomes by using the County Health Rankings data, and tested whether a revised environmental quality measure for 1 state could improve the models.Methods. We conducted state-by-state, county-level linear regression analyses to determine how often the model’s 4 health determinants (social and economic factors, health behaviors, clinical care, and physical environment) were associated with mortality and morbidity outcomes. We then developed a revised measure of environmental quality for West Virginia, and tested whether the revised measure was superior to the original measure.Results. Measures of social and economic conditions, and health behaviors, were related to health outcomes in 58% to 88% of state models; measures of environmental quality were related to outcomes in 0% to 8% of models. In West Virginia, the original measure of environmental quality was unrelated to any of the 8 health outcome measures, but the revised measure was significantly related to all 8.Conclusions. The County Health Rankings model underestimates the impact of the physical environment on public health outcomes. Suggestions for other data sources that may contribute to improved measurement of the physical environment are provided.
机译:目标。我们使用县健康排名数据检查了环境质量度量与健康结果之间的关联,并测试了针对1个州的修订版环境质量度量是否可以改善模型。我们进行了逐州,县级的线性回归分析,以确定该模型的4个健康决定因素(社会和经济因素,健康行为,临床护理和身体环境)与死亡率和发病率相关的频率。然后,我们为西弗吉尼亚州制定了修订后的环境质量衡量标准,并测试了修订后的衡量标准是否优于原始衡量标准。在58%至88%的州模型中,对社会和经济状况以及健康行为的度量与健康结果相关;在0%至8%的模型中,环境质量的度量与结果相关。在西弗吉尼亚州,最初的环境质量衡量标准与8种健康结果衡量标准中的任何一项都不相关,但修订后的衡量标准与所有8项结论均显着相关。县健康排名模型低估了自然环境对公共卫生成果的影响。提供了其他可能有助于改善物理环境测量的数据源的建议。

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