Active Living Among Older Residents of a Rural Naturally Occurring Retirement Community

Grant-Savela, Stacey D.

doi:10.1177/0733464809341470

Cited by 10 publications

(5 citation statements)

References 32 publications

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“…Individuals with a low belief in powerful others were more likely to state they exercise regularly, consistent with previous research (Grant-Savela, 2009). This finding suggests internal beliefs may be the influencing factor rather than an external source such as the media or PHP recommendation.…”

Section: Discussionsupporting

confidence: 89%

Independent Living Oldest Old and Their Primary Health Provider

et al. 2013

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This convergent mixed methods study examined 35 healthy, independent living individuals' (above 85 years) perceptions of their relationship with their primary health provider (PHP) and health practices. The relationship between PHP relationship perceptions and locus of control (LOC), resilience, and self-efficacy was explored through surveys and interviews. The majority indicated they visited their PHP just for preventative care; the number of PHP visits per year was significantly lower than reported for individuals above 85 by the CDC, possible reasons for this finding are provided. A positive relationship between LOC, resiliency, and self-efficacy for the oldest old was found. Few participants indicated their PHP had discussed normal changes with aging. This study has deepened understanding of the complexity inherent to the healthy oldest olds' relationship with their PHP. The findings suggest this relationship relates to the PHP's personal characteristics, the older adult patients' personality, and the influence of the accompanying patient escort.

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Section: Discussionsupporting

confidence: 89%

Independent Living Oldest Old and Their Primary Health Provider

et al. 2013

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“…Regarding countries, the USA (36%), Australia (13%), the UK (10%), and Canada (10%) conducted the most research. Only 3% of articles specifically studied rural participants [ 67 – 69 ], about half researched those from urban settings (56%), and 32% from a mixture of both.…”

Section: Resultsmentioning

confidence: 99%

Built environmental correlates of older adults’ total physical activity and walking: a systematic review and meta-analysis

Barnett

Nathan

et al. 2017

Int J Behav Nutr Phys Act

560

485

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BackgroundIdentifying attributes of the built environment associated with health-enhancing levels of physical activity (PA) in older adults (≥65 years old) has the potential to inform interventions supporting healthy and active ageing. The aim of this study was to first systematically review and quantify findings on built environmental correlates of older adults’ PA, and second, investigate differences by type of PA and environmental attribute measurement.MethodsOne hundred articles from peer-reviewed and grey literature examining built environmental attributes related to total PA met inclusion criteria and relevant information was extracted. Findings were meta-analysed and weighted by article quality and sample size and then stratified by PA and environmental measurement method. Associations (p < .05) were found in relation to 26 individual built environmental attributes across six categories (walkability, residential density/urbanisation, street connectivity, access to/availability of destinations and services, infrastructure and streetscape, and safety) and total PA and walking specifically. Reported individual- and environmental-level moderators were also examined.ResultsPositive environmental correlates of PA, ranked by strength of evidence, were: walkability (p < .001), safety from crime (p < .001), overall access to destinations and services (p < .001), recreational facilities (p < .001), parks/public open space (p = .002) and shops/commercial destinations (p = .006), greenery and aesthetically pleasing scenery (p = .004), walk-friendly infrastructure (p = .009), and access to public transport (p = .016). There were 26 individual differences in the number of significant associations when the type of PA and environmental measurement method was considered. No consistent moderating effects on the association between built environmental attributes and PA were found.ConclusionsSafe, walkable, and aesthetically pleasing neighbourhoods, with access to overall and specific destinations and services positively influenced older adults’ PA participation. However, when considering the environmental attributes that were sufficiently studied (i.e., in ≥5 separate findings), the strength of evidence of associations of specific categories of environment attributes with PA differed across PA and environmental measurement types. Future research should be mindful of these differences in findings and identify the underlying mechanisms. Higher quality research is also needed.Electronic supplementary materialThe online version of this article (doi:10.1186/s12966-017-0558-z) contains supplementary material, which is available to authorized users.

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“…In the study, lower mean scores in interpersonal relations revealed that the non-participants were unable to achieve a sense of intimacy and meaningful relationship with others [24]. Social support from friends is often highlighted as having an association with participation in physical activity [32].…”

Section: Discussionmentioning

confidence: 99%

Being Old Does Not Necessarily Mean Being Inactive: Health Profile of Elderly Athletes versus Community-Dwelling Older Adults

Tse¹,

Wong²,

Wan³

2014

IJCM

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Introduction: According to the records of the Hong Kong Athletic Gala for the Elderly, some sports events have been won by the same group of elderly participants for several consecutive years. What made these elderly athletes different from others? Method: This was a retrospective quantitative study. The health profile data on a total of 125 elderly participants were collected. 36 and 29 were the winners and losers of the Hong Kong Athletic Gala for the Elderly between 2008 and 2010, respectively. The remaining 60 were non-participants. The non-participants came from six elderly centers in different districts in Hong Kong. Health profile parameters were measured using the Health-Promoting Lifestyle Profile II, which is used to measure healthy behaviors such as physical activity level, nutrition, stress management, health responsibility, interpersonal relations and spiritual growth. Results: About 41.7% (n = 15) and 80.0% (n = 48) of the elderly (mean age = 74 ± 9.0) in the winner and non-participant groups with chronic diseases. There were significant (p < 0.05) differences in fat percentage, mobility, and body mass index among the three groups of elderly. Five out of six domains in the HPLP-II: physical activity, nutrition, interpersonal relations, spiritual growth and health responsibility, were siginificantly different among two groups. Conclusion: It could be concluded that elderly people who had better health status and lifestyle, and who undertook regular exercise, fared better than others in sports events.

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Active Living Among Older Residents of a Rural Naturally Occurring Retirement Community

Cited by 10 publications

References 32 publications

Independent Living Oldest Old and Their Primary Health Provider

Independent Living Oldest Old and Their Primary Health Provider

Built environmental correlates of older adults’ total physical activity and walking: a systematic review and meta-analysis

Being Old Does Not Necessarily Mean Being Inactive: Health Profile of Elderly Athletes versus Community-Dwelling Older Adults

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