Senior Centers: Characteristics of Participants and Nonparticipants

Pardasani, Manoj

doi:10.1080/01924780903552295

Cited by 42 publications

(67 citation statements)

References 29 publications

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“…6 Several prior studies have characterized senior center users using data from local and nationwide surveys. Most studies have identified lower income [7][8][9] and older age range (75-84) 7,10,11 as factors associated with senior center use. Women have been found to be more likely to attend senior centers than men 7,11,12 and to have a more positive perception of senior center benefits.…”

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confidence: 99%

“…Most studies have identified lower income [7][8][9] and older age range (75-84) 7,10,11 as factors associated with senior center use. Women have been found to be more likely to attend senior centers than men 7,11,12 and to have a more positive perception of senior center benefits. 13 Some studies have found that Blacks and other minorities are more likely to use senior centers than Whites, but results have not been consistent, potentially reflecting different study settings and designs.…”

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confidence: 99%

“…13 Some studies have found that Blacks and other minorities are more likely to use senior centers than Whites, but results have not been consistent, potentially reflecting different study settings and designs. [7][8][9]11 Data are also inconsistent regarding whether having more 5,7 or fewer 14 social contacts predicts senior center use. Some studies identified that older adults with no or few functional limitations were more likely to attend centers than those with more limitations.…”

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confidence: 99%

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Predictors of Senior Center Use among Older Adults in New York City Public Housing

et al. 2014

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Despite agreement among stakeholders that senior centers can promote physical and mental health, research on senior center use in urban populations is limited. Our objective was to describe demographic and health factors associated with senior center use among urban, low-income older adults in order to inform programming and outreach efforts. We used data from a 2009 telephone survey of 1036 adults randomly selected from rosters of New York City public housing residents aged 65 and older. We analyzed senior center use by race/ethnicity, age, gender, health, housing type, and income, and used a forward selection approach to build best-fit models predicting senior center use. Older adults of all ages and of both genders reported substantial use of senior centers, with nearly one third (31.3%) reporting use. Older adults living alone, at risk of depression, or living in specialized senior housing had the greatest use of centers. Senior center use varied by race/ethnicity, and Englishspeaking Hispanics had a higher prevalence of use than Spanish-speaking Hispanics (adjusted prevalence ratio [PR]=1.69, 95% CI: 1.11-2.59). Spanish-speaking communities and older adults living in non-senior congregate housing are appropriate targets for increased senior center outreach efforts.

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confidence: 99%

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confidence: 99%

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Predictors of Senior Center Use among Older Adults in New York City Public Housing

et al. 2014

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“…Social/Professional Role and Identity Perception that activities are for much older people [33], not selfidentifying as "old" [40] Modelling Perception that activities/senior centres are gendered [47] Modelling Beliefs about capabilities Self-perceived health [48] Education Beliefs about consequences Perception that engagement and socialising will be beneficial/desirable [33,41,43] Persuasion Fear of social rejection [40] Education Desire to benefit from socialising [43] Persuasion Motivation, Automatic…”

Section: Motivation Reflectivementioning

confidence: 99%

“…Lack of appealing activities/social opportunities [40,42,43], A choice of activities [41] Environmental restructuring Availability of private car [44] Traffic/poor driving conditions [45] Environmental restructuring Access to public transport [43,44,46], Cost of public transport [44] Environmental restructuring Lack of money [46] Environmental restructuring…”

Section: Environmental Context and Resourcesmentioning

confidence: 99%

Application of the behaviour change wheel framework to the development of interventions within the City4Age project

Direito

Michie

Lefevre

et al. 2017

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

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Abstract-The probability of an intervention being effective is likely increased if it is designed following a behavioural analysis and with the aid of evidence-based intervention frameworks. For example, the Behaviour Change Wheel (BCW) framework and its associated COM-B model of behaviour have been used successfully as a starting point for designing behaviour change interventions. However, the BCW framework can also be applied at a later stage in the design process, such as when an intervention has been designed but before it is deployed. Here we describe the application of the BCW framework and COM-B model to evaluate and refine already designed interventions. We use a multidisciplinary multi-site project ('City4Age') as a case study. The project aims to promote independent living of older adults through the deployment of interventions using wearable and environment-based technology. We conducted face-to-face interviews with site representatives to identify the target behaviours, perceived barriers and facilitators, intervention functions, and modes of delivery for each planned intervention. Additionally, literature reviews were conducted to identify evidence-based facilitators and barriers for each targeted behaviour. Subsequently, we 1) compared the intervention functions proposed by the project-sites with those most likely to be effective according to the BCW; and 2) assessed the congruency of the barriers and facilitators identified by the pilot-sites with those identified in the literature. For five planned interventions across two project-sites (Birmingham and Singapore), two had intervention functions unlikely to be effective according to the BCW. The two planned interventions to promote social engagement did not address barriers or facilitators evident in the literature, indicating they required refinement. Applying the BCW framework allowed to identify which interventions needed refining. It also helped in providing specific guidance in our recommendations for improvements prior to deployment.

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Senior Centers

Kadowaki

Mahmood

2021

Encyclopedia of Gerontology and Population Aging

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Senior Centers: Characteristics of Participants and Nonparticipants

Cited by 42 publications

References 29 publications

Predictors of Senior Center Use among Older Adults in New York City Public Housing

Predictors of Senior Center Use among Older Adults in New York City Public Housing

Application of the behaviour change wheel framework to the development of interventions within the City4Age project

Senior Centers

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