Loneliness Among Older Adults: A National Survey of Adults 45+: Dataset

Anderson, G. Oscar

doi:10.26419/res.00064.003

Cited by 52 publications

(64 citation statements)

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“…In addition, participants self-reported their chronic cardiometabolic disease history (i.e., transient ischemic attack or stroke, heart attack, hypertension, hyperlipidemia and diabetes). We collected information on physical activity, 11 , 12 , 24 alcohol use (any alcohol consumption v. nondrinker), 29 , 30 current smoking status (current smoker v. former or never), 3 , 31 income security 11 , 25 and self-reported general health, 11 , 26 based on literature associating these factors with social isolation. We measured health-related quality of life using 5 domains from the EQ-5D-3L tool, namely mobility, self-care, usual activities, pain or discomfort, and anxiety or depression.…”

Section: Methodsmentioning

confidence: 99%

Subjective social isolation or loneliness in older adults residing in social housing in Ontario: a cross-sectional study

Agarwal

Pirrie

Gao

et al. 2021

cmajo

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Background: Older adults face greater risk of social isolation, but the extent of social isolation among low-income older adults living in social housing is unknown. This study aims to explore the rate of, and risk factors contributing to, subjective social isolation or loneliness among older adults in social housing. Methods: We conducted a cross-sectional study of data collected from a community program held in the common rooms of 55 social housing buildings in 14 communities across Ontario, Canada, from May 2018 to April 2019. Participants were program attendees aged 55 years and older who resided in the buildings. Program implementers assessed social isolation using the 3-Item Loneliness Scale from the University of California, Los Angeles and risk factors using common primary care screening tools. We extracted data for this study from the program database. We compared the rate of social isolation to Canadian Community Health Survey data using a 1-sample χ 2 test, and evaluated associations between risk factors and social isolation using univariate and multivariate logistic regressions. Results: We included 806 residents in 30 buildings for older adults and 25 mixed-tenant buildings. Based on the 3-Item UCLA Loneliness Scale, 161 (20.0%) of the 806 participants were socially isolated. For those aged 65 and older, the rate of social isolation was nearly twice that observed in the same age group of the general population (36.1% v. 19.6%; p < 0.001). Risk factors were age (65–84 yr v. 55–64 yr adjusted odds ratio [OR] 1.99, 95% confidence interval [CI] 1.01–3.93), alcohol consumption (adjusted OR 2.45, 95% CI 1.09–5.54), anxiety or depression (adjusted OR 6.05, 95% CI 3.65–10.03) and income insecurity (adjusted OR 2.10, 95% CI 1.24–3.53). Protective factors were having at least 1 chronic cardiometabolic disease (adjusted OR 0.44, 95% CI 0.24–0.80), being physically active (adjusted OR 0.47, 95% CI 0.30–0.73) and having good to excellent general health (adjusted OR 0.60, 95% CI 0.39–0.90). Interpretation: The high rate of social isolation in low-income older adults living in social housing compared with the general population is concerning. Structural barriers could prevent engagement in social activities or maintenance of social support, especially for older adults with income insecurity and anxiety or depression; interventions are needed to reduce subjective social isolation in this population.

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Section: Methodsmentioning

confidence: 99%

Subjective social isolation or loneliness in older adults residing in social housing in Ontario: a cross-sectional study

Agarwal

Pirrie

Gao

et al. 2021

cmajo

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“…While our study highlights the importance of limitations in IADLs, educational attainment, and attitude toward technologies, we note that this sample was comprised of older adult Internet users. Though our sample was reflective of the sociodemographic characteristics of the U.S. older adult population, about 34% of US older adults do not use the Internet ( Anderson & Perrin, 2017 )—thus, our sample may have more experience using technology than the actual U.S. older adult population. In addition, the data used in this study were collected in Fall 2017; since that time, additional pilot demonstrations of AVs have begun in various parts of the U.S.…”

Section: Discussionmentioning

confidence: 99%

Willingness to Use Automated Vehicles: Results From a Large and Diverse Sample of U.S. Older Adults

Kadylak

Cotten

Fennell

2021

Gerontology and Geriatric Medicine

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The diffusion of fully automated vehicles (AVs), or self-driving vehicles, is expected to provide many affordances for older adults. If older adults are not willing to use AVs, they will not be able to reap these affordances. Understanding factors related to older adults’ willingness to use AVs is key to ensuring that successful strategies can be devised to promote their utilization in the future. In this study, we investigate U.S. older adults’ willingness to use AVs among a large and diverse sample ( N = 1,231). We assessed sociodemographic, population density, health, and attitudinal determinants of willingness to use AVs. Our binary logistic regression results showed that older adults with higher levels of educational attainment, transportation limitations, and positive attitudes toward new technology adoption were more likely to be willing to use AVs. Our study indicates that older adults’ willingness to use AVs are complex and vary among U.S. older adults. Practical implications and study limitations are discussed.

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“…Although the innovation of these technologies is exciting and commendable, the translation from concept to use within aged care services has been slow and fragmented (Pilotto et al, 2018; Peine & Neven, 2019). Uptake of technology has been increasing over the last decade (Anderson & Perrin, 2017), but remains dependent on older adults’ usability of the technology (Gettel et al, 2021). To move beyond this, two key issues have been identified to better harness the potential of technologies used within aged care: (1) a more comprehensive understanding of end-users’ technology needs and preferences (Pilotto et al, 2018; Peine & Neven, 2019; Pruchno, 2019) and (2) greater synergistic and multidisciplinary working collaborations between specialists in gerontology and technology.…”

Section: Introductionmentioning

confidence: 99%

Consumer and Provider Perspectives on Technologies Used Within Aged Care: An Australian Qualitative Needs Assessment Survey

Moyle

Murfield

et al. 2022

J Appl Gerontol

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We undertook a qualitative assessment of aged care technology needs from the perspective of consumers and providers using a cross-sectional survey that assumed a largely open-response format. We recruited a convenience sample of individuals aged 18 years or older, lived in Australia, and self-identified as either an older adult ( n = 133), an informal caregiver of an older adult ( n = 27), and/or clinician, healthcare practitioner, and aged care provider ( n = 148). Survey responses were analyzed using a descriptive qualitative content analysis approach to interpret meaning from written survey responses. We identified seven themes reporting that technologies used in aged care do not appear to be meeting end-user needs. Supporting the Technology Acceptance Model, consumers and providers perceive usefulness of the technology and its actual ease of use as drivers of acceptance toward gerontechnology. Ten recommendations are proposed to support technology use and the quality of aged care.

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Loneliness Among Older Adults: A National Survey of Adults 45+: Dataset

Cited by 52 publications

References 0 publications

Subjective social isolation or loneliness in older adults residing in social housing in Ontario: a cross-sectional study

Subjective social isolation or loneliness in older adults residing in social housing in Ontario: a cross-sectional study

Willingness to Use Automated Vehicles: Results From a Large and Diverse Sample of U.S. Older Adults

Consumer and Provider Perspectives on Technologies Used Within Aged Care: An Australian Qualitative Needs Assessment Survey

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