ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2015
Identifying naturally occurring retirement communities: a spatial analysis.
Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Factors associated with transition to a nursing home in older adults living in naturally occurring retirement communities.Journal of the American Geriatrics Society · 2025Article
- A portrait of older adults in naturally occurring retirement communities in Ontario, Canada: A population-based study.Journal of the American Geriatrics Society · 2025Article
- Identification and engagement of naturally occurring retirement communities to support healthy aging in Canada: A set of methods for replication.BMC geriatrics · 2022Article
- Naturally Occurring Retirement Communities: Scoping Review.JMIR aging · 2022Article
- Loss of Community-Dwelling Status Among Survivors of High-Acuity Emergency General Surgery Disease.Journal of the American Geriatrics Society · 2019Article
- Do long-term care services match population needs? A spatial analysis of nursing homes in Chile.PloS one · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
objectivesGuided 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.
methodData 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).
resultsThe 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.
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