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Defining Rurality: Structural Relationships Regional Differences and Applications for Research With Older Adults

机译:定义风险:与老年人研究的结构关系区域差异和应用

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摘要

There is no universal definition of rurality due to the heterogeneity in what makes a place “rural” or “urban”. This study explored how elements of rurality are related to each other, and how the elements that define rurality vary by region. Data were abstracted for all 1948 non-metropolitan counties in the contiguous 48 states on rurality. K-means cluster analyses (k=4-8) were conducted to examine classification structures among component variables examining regional differences. In the South region, the majority (51.2%) were “Type 2” counties: low population size and density but higher urbanized population. The Midwest had a majority of “Type 3” counties (56.4%): intermediate for population size and density, but higher distances to metro areas. These exploratory findings underscore the heterogeneity and regional variability in rurality and how those measures are structurally related to each other, and essential to understanding those factors that truly drive rural-urban health disparities for older adults. Part of a symposium sponsored by the Rural Aging Interest Group.
机译:由于在“农村”或“城市”的地方,由于异质性而没有普遍定义风险。本研究探讨了风格的元素彼此如何相关,以及定义rurity的元素如何因地区而异。数据被宣传48个国家的所有1948年的非大都市县提取了数据。进行K-Means群集分析(K = 4-8),以检查检查区域差异的组分变量之间的分类结构。在南部地区,大多数(51.2%)是“2型”县:人口大小和密度低,但城市化人口较高。中西部的大多数“3型”县(56.4%):占人口规模和密度的中间,但与地铁地区的距离高。这些探索调查结果强调了风险性的异质性和区域变异以及这些措施如何彼此结构相关,并且对于理解真正推动老年人的农村城市健康差异的因素至关重要。由农村老龄化兴趣小组赞助的研讨会的一部分。

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