Maricruz Rivera-Hernandez1, Takashi Yamashita2, Jennifer M Kinney3. 1. Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island. Maricruz_Rivera-Hernandez@Brown.edu. 2. Department of Sociology, University of Nevada, Las Vegas. 3. Department of Sociology & Gerontology, Miami University, Oxford, Ohio.
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.
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.
Authors: Lori P Montross; Colin Depp; John Daly; Jennifer Reichstadt; Shahrokh Golshan; David Moore; David Sitzer; Dilip V Jeste Journal: Am J Geriatr Psychiatry Date: 2006-01 Impact factor: 4.105
Authors: Jason W Smith; Jennifer Knight Davis; Catherine C Quatman-Yates; Brittany L Waterman; Scott A Strassels; Jen D Wong; Victor K Heh; Holly E Baselice; Guy N Brock; Brian C Clark; John F P Bridges; Heena P Santry Journal: J Am Geriatr Soc Date: 2019-07-13 Impact factor: 5.562