The Influence of Self-Selection on Older Adults' Active Living in a Naturally Occurring Retirement Community

Grant-Savela, Stacey D.

doi:10.1080/02763890903326996

Cited by 6 publications

(8 citation statements)

References 20 publications

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“…The present analyses did not adjust for self selection; active older adults may choose to live in facilities with more supportive recreational environments (Grant-Savela, 2010). Validity analyses remained exploratory as data were only available in 12 sites.…”

Section: Discussionmentioning

confidence: 99%

“…The aim of the present study was to develop an audit tool to objectively assess the physical activity environment in SLRs, evaluate its reliability, and assess validity in relation to objectively measured physical activity, sedentary time and quality of life. Although previous research has found that individuals may self select to live in facilities with more supportive recreational environments (Grant-Savela, 2010), we did not account for self selection in these analyses.…”

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confidence: 99%

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Assessing health-related resources in senior living residences

Kerr

Carlson

Sallis

et al. 2011

Journal of Aging Studies

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This study evaluated a new tool, “The Audit of Physical Activity Resources for Seniors” (APARS), which assesses the physical activity environment in Senior Living Residences (SLRs). Audits were conducted in 29 SLRs and inter-rater reliability was assessed. Pearson correlations were examined between APARS items and objectively measured physical activity and sedentary time, and self-rated health, collected from residents at a subset of 12 SLRs (N=147). Eighty-nine of the 90 items (98.9%) demonstrated Kappa or ICC values above .70 and/or percent agreement above 80%. The 90 items were summarized into nine scales. Two scales (outside supportive physical activity features/functionality and outside exercise facilities) were related to greater physical activity and less sedentary time. Four scales (inside social facilities, onsite services, exercise programs, and social activities) were related to greater sedentary time and better self-rated health. APARS items demonstrated adequate inter-rater reliability and some evidence for construct validity to assess health-related environments in retirement facilities. Social activities in SLRs could benefit residents by incorporating more physical activity. Use of APARS could inform more health-promoting designs of senior living facilities.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

Assessing health-related resources in senior living residences

Kerr

Carlson

Sallis

et al. 2011

Journal of Aging Studies

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“…For example, active older adults may choose to relocate to retirement villages and neighborhoods supportive of physical activity opportunities. Only one study has considered its influence within the context of senior housing settings, providing evidence that older adults did indeed self-select into retirement communities based on the supportive recreational environment (Grant-Savela, 2010).…”

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confidence: 99%

Perceptions of the Built Environment and Associations With Walking Among Retirement Village Residents

Nathan

Wood

Giles-Corti

2012

Environment and Behavior

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Housing options, such as retirement villages, that promote and encourage healthy behaviors are needed to accommodate the growing older adult population. To examine how environmental perceptions relate to walking, residents of retirement villages in Perth, Australia, were sampled, and associations between a wide range of village and neighborhood environmental attributes and walking leisurely, briskly, and for transport were examined. Perceived village features associated with walking included aesthetics (odds ratio [OR] = 1.72), personal safety (OR = 0.43), and services and facilities (OR = 0.80), whereas neighborhood attributes included fewer physical barriers (OR = 1.37) and proximate destinations (OR = 1.93). Findings suggest that locating retirement villages in neighborhoods with many local destinations may encourage more walking than providing many services and facilities within villages. Indeed, safe villages rich with amenities were shown to be related to less walking in residents. These findings have implications for the location, design, and layout of retirement villages.

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“…Village (n = 15) Bookman ( 2008), Davitt et al (2017), Gammonley et al (2019), Graham et al (2014Graham et al ( , 2017Graham et al ( , 2018, Greenfield et al (2012Greenfield et al ( , 2013, Hou (2020), LeFurgy (2017), Lehning et al (2017), McDonough and Davitt (2011, 2014, Wickersham (2015). NORC (n = 20) Bookman ( 2008), Bedney et al (2010), Bronstein et al (2011), Carpenter et al (2007, Cohen-Mansfield et al (2010, Elbert and Neufeld (2010), Grant-Savela (2010a, 2010b, Greenfield (2013Greenfield ( , 2014, Greenfield and Frantz (2016), Greenfield and Mauldin (2016), Greenfield et al (2012Greenfield et al ( , 2013, Guo and Castillo (2012), MacLaren et al (2007), Pine and Pine (2002), Usher ( 2014), Vladeck and Altman (2015). Cohousing (n = 8) Glass (2009Glass ( , 2012Glass ( , 2013Glass ( , 2020, Glass and Vander Plaats (2013), Kramp (2012), Lyon et al (2013), Markle et al ( 2015) UBRC (n = 6) Bookman ( 2008),…”

Section: Historymentioning

confidence: 99%

Promising Aging in Community Models in the U.S.: Village, Naturally Occurring Retirement Community (NORC), Cohousing, and University-Based Retirement Community (UBRC)

Hou

Cao

2021

Gerontology and Geriatric Medicine

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Aging in Community (AIC) is the preferred way to age. This systematic review identified promising AIC models in the U.S. and analyzed model characteristics and push-pull factors from older adults’ perspectives. Push factors are those driving older adults to leave, while pull factors attract them to stay in a community. We conducted a two-phase search strategy using eight databases. Phase I identified promising AIC models and Phase II expanded each specific model identified. Fifty-two of 244 screened articles met the criteria and were analyzed. We identified four promising AIC models with the potential to achieve person-environment (P-E) fit, including village, naturally occurring retirement community (NORC), cohousing, and university-based retirement community (UBRC). Each has a unique way of helping older adults with their aging needs. Similar and unique push-pull factors of each AIC model were discussed. Analyses showed that pull factors were mostly program factors while push factors were often individual circumstances. Continued research is needed to address the challenges of recruiting minority older adults and those of lower socio-economic status, meeting older adults’ diverse and dynamic needs, and conducting comparative studies to share lessons learned across the globe.

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The Influence of Self-Selection on Older Adults' Active Living in a Naturally Occurring Retirement Community

Cited by 6 publications

References 20 publications

Assessing health-related resources in senior living residences

Assessing health-related resources in senior living residences

Perceptions of the Built Environment and Associations With Walking Among Retirement Village Residents

Promising Aging in Community Models in the U.S.: Village, Naturally Occurring Retirement Community (NORC), Cohousing, and University-Based Retirement Community (UBRC)

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