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识别自然形成的退休社区:一项空间分析。

Identifying naturally occurring retirement communities: a spatial analysis.

作者信息

Rivera-Hernandez Maricruz, Yamashita Takashi, Kinney Jennifer M

机构信息

Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island.

Department of Sociology, University of Nevada, Las Vegas.

出版信息

J Gerontol B Psychol Sci Soc Sci. 2015 Jul;70(4):619-27. doi: 10.1093/geronb/gbu077. Epub 2014 Jun 23.

DOI:10.1093/geronb/gbu077
PMID:24958694
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4786298/
Abstract

OBJECTIVES

Guided by the concept of "aging in place" and potential policy implications, the study analyzed naturally occurring retirement communities (NORCs; 40% or greater house owners and renters aged 65 years and older) and whether there were spatiotemporal patterns in Ohio between 2000 and 2010.

METHOD

Data were derived from the 2000 and 2010 census tracts. Geovisualization was used to visually examine the distribution of NORCs in 2000 and 2010. Global Moran's I was used to quantify the spatial distribution of NORCs in Ohio and Local Moran's I was used to identify clusters of NORCs (i.e., hot spots).

RESULTS

The number of NORCs slightly decreased despite the overall increase of the older population from 2000 to 2010. NORCs were identified in one of the 3 most populous counties (i.e., Cuyahoga) and its neighboring counties. A number of hot spots were identified in Cuyahoga County (among Ohio's most populous and NORC-rich counties), both in 2000 and 2010. There were different patterns including emerging, disappearing, and enduring NORCs and disproportionate distributions of NORCs across the state between 2000 and 2010.

DISCUSSION

Locating NORCs could aid governments to create "aging in place" sensitive policies to address issues of independence, social care, health care, volunteerism, and community participation.

摘要

目的

以“就地养老”理念及潜在政策影响为指导,本研究分析了自然形成的退休社区(NORCs;65岁及以上业主和租户占比40%或更高),以及2000年至2010年俄亥俄州是否存在时空模式。

方法

数据来源于2000年和2010年的人口普查区。利用地理可视化直观检查2000年和2010年NORCs的分布情况。使用全局莫兰指数(Global Moran's I)量化俄亥俄州NORCs的空间分布,使用局部莫兰指数(Local Moran's I)识别NORCs的集群(即热点)。

结果

尽管2000年至2010年老年人口总体增加,但NORCs的数量略有下降。在人口最多的3个县之一(即凯霍加县)及其周边县发现了NORCs。2000年和2010年,在凯霍加县(俄亥俄州人口最多且NORCs丰富的县之一)都发现了一些热点。2000年至2010年期间,存在不同的模式,包括新兴、消失和持久的NORCs,以及该州NORCs分布不均衡的情况。

讨论

确定NORCs的位置有助于政府制定对“就地养老”敏感的政策,以解决独立、社会护理、医疗保健、志愿服务和社区参与等问题。

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Naturally Occurring Retirement Communities: Scoping Review.自然形成的退休社区:范围综述
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Am J Public Health. 2006 Jul;96(7):1164-70. doi: 10.2105/AJPH.2005.068262. Epub 2006 May 30.
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