scholarly journals Too old for technology? Use of wearable healthcare devices by older adults and their willingness to share health data with providers

2021 ◽  
Vol 27 (4) ◽  
pp. 146045822110580
Author(s):  
Ranganathan Chandrasekaran ◽  
Vipanchi Katthula ◽  
Evangelos Moustakas
Keyword(s):  
Older Adults ◽  
Technology Use ◽  
Self Efficacy ◽  
Healthcare Providers ◽  
Well Being ◽  
Sociodemographic Factors ◽  
Wearable Devices ◽  
Health Data ◽  
Health Conditions ◽  
Annual Household Income

Wearable healthcare devices offer tremendous promise to effectively track and improve the well-being of older adults. Yet, little is known about the use of wearable devices by older adults. Drawing upon a national survey in US with 1481 older adults, we examine the use of wearable healthcare devices and the key predictors of use viz. sociodemographic factors, health conditions, and technology self-efficacy. We also examine if the predictors are associated with elders’ willingness to share health data from wearable devices with healthcare providers. We find low level of wearable use (17.49%) among US older adults. We find significant positive associations between technology self-efficacy, health conditions, and demographic factors (gender, race, education, and annual household income) and use of wearable devices. Men were less likely (OR = 0.62, 95% CI 0.36–1.04) and Asians were more likely (OR = 2.60, 95% CI 0.89–7.64) to use wearables, as did healthy adults (OR = 1.98, 95% CI 1.37–2.87). Those who electronically communicated with their doctors (OR = 1.86, 95% CI 1.16–2.97), and those who searched online for health information (OR = 1.79, 95% CI 1.03–3.10) were more likely to use wearables. Though 80.15% of wearable users are willing to share health data with providers, those with greater technology self-efficacy and favorable attitudes toward exercise are more willing.

scholarly journals Older Adults and Technology Use: A Systematic Literature Review

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 823-823
Author(s):  
Hyung Wook Choi ◽  
Rose Ann DiMaria-Ghalili ◽  
Mat Kelly ◽  
Alexander Poole ◽  
Erjia Yan ◽  
...  
Keyword(s):  
Older Adults ◽  
Technology Use ◽  
Age Groups ◽  
Well Being ◽  
Sample Population ◽  
Age Cohorts ◽  
Fine Grained ◽  
Nuanced Understanding ◽  
Smart Technologies ◽  
Age Range

Abstract Researchers are increasingly interested in leveraging technology to support the physical and mental well-being of older adults. We systematically reviewed previous scholars’ criteria for sampling older adult populations, focusing on age cohorts (namely adults over 65) and their use of internet and smart technologies. We iteratively developed keyword combinations that represent older adults and technology from the retrieved literature. Between 2011 and 2020, 70 systematic reviews were identified, 26 of which met our inclusion criteria for full review. Most important, not one of the 26 papers used a sample population classification more fine-grained than “65 and older.” A knowledge gap thus exists; researchers lack a nuanced understanding of differences within this extraordinarily broad age-range. Demographics that we propose to analyze empirically include not only finer measures of age (e.g., 65-70 or 71-75, as opposed to “65 and older”), but also those age groups’ attitudes toward and capacity for technology use.

scholarly journals Older Adults’ Adaptations to the Call for Social Distancing and Use of Technology: Insights From Socioemotional Selectivity Theory and Lived Experiences

2021 ◽  
pp. 073346482199686
Author(s):  
Shoshana H. Bardach ◽  
Elizabeth K. Rhodus ◽  
Kelly Parsons ◽  
Allison K. Gibson
Keyword(s):  
Older Adults ◽  
Technology Use ◽  
Technology Training ◽  
Well Being ◽  
Socioemotional Selectivity Theory ◽  
Structured Interviews ◽  
Socioemotional Selectivity ◽  
Social Distancing ◽  
Use Of Technology ◽  
Comparison Approach

Social distancing guidelines during COVID can be isolating, especially for older adults, with potential for poor health outcomes. Technology offers opportunities for remote connection, yet, older adults’ use of and perspectives on technology during this time remain largely unknown. The purpose of this study was to gain insight into older adults’ technology use and preferences to inform the development of a technology training intervention to support older adult well-being. Semi-structured interviews were conducted with 30 older adults. Interviews were analyzed using an iterative, constant comparison approach. Findings were consistent with Socioemotional Selectivity Theory; respondents were primarily interested in technology to support emotionally meaningful goals. Participants indicated limited interest in technology training, referencing diminished future time perspectives to explain disinterest. Findings suggest that efforts to encourage older adults’ expanded technology adoption should highlight how use supports emotionally meaningful goals and provide low-effort, timely training, tied to specific and clear applications.

scholarly journals Love Hurts: The Influence of Social Relations on Exercise Self-Efficacy for Older Adults with Osteoarthritis

2008 ◽  
Vol 16 (4) ◽  
pp. 465-483 ◽  
Author(s):  
Kelly A. Cotter ◽  
Aurora M. Sherman
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Relations ◽  
Self Efficacy ◽  
Structural Equation ◽  
Physical Activity Behavior ◽  
Well Being ◽  
Equation Model ◽  
Cross Sectional ◽  
Social Strain

Exercise self-efficacy is a powerful predictor of physical activity behavior, which enhances health and well-being for older adults. Social relations have been proposed as influential precursors for exercise self-efficacy. In a longitudinal study of 160 older adults with osteoarthritis (76.9% women), the authors found that social support (but not social strain) significantly predicted exercise self-efficacy in a structural equation model examining cross-sectional data: χ2(178, N = 160) = 264.57, p < .01; RMSEA = .06; CFI = .92; TLI = .90. When data were examined longitudinally, however, social strain (but not social support) significantly predicted lower exercise self-efficacy 1 year later: χ2(233, N = 160) = 288.64, p < .01; RMSEA = .04; CFI = .96; TLI = .95. Results support the negativity effect, suggesting that social strain might be the more potent aspect of social relations and should be the target of interventions.

Older Adults and Their Internet Behaviors

2012 ◽  
pp. 608-619 ◽  
Author(s):  
Elizabeth Mazur ◽  
Margaret L. Signorella ◽  
Michelle Hough
Keyword(s):  
Older Adults ◽  
Technology Use ◽  
Age Groups ◽  
Well Being ◽  
Future Research ◽  
The Internet ◽  
Attitudinal Barriers ◽  
Cognitive Limitations ◽  
Future Research Directions ◽  
Use Of The Internet

Early research on older adult computer users focused on the possibility for technology to increase social interaction and alleviate loneliness. Subsequent research has been equivocal on the possible benefits of the Internet for well-being. Nonetheless, in spite of an initial “gray gap,” older adults are increasingly joining younger cohorts in using the Internet. Barriers to older adults’ use of the Internet remain, such as physical and cognitive limitations. Attitudinal barriers may exist, but it is unclear whether these result from lack of experience or differences in income or health status. Business researchers have found that older persons differ from other age groups in their Internet engagement patterns, including online buying. Future research directions include whether computers can improve cognitive functioning and quality of life, how to increase engagement levels, and if there will always be a lag in technology use among older adults.

Well-Being, Self-Efficacy and Independence in older adults: A Randomized Trial of Occupational Therapy

2019 ◽  
Vol 83 ◽  
pp. 277-284 ◽  
Author(s):  
Abel Toledano-González ◽  
Teresa Labajos-Manzanares ◽  
Dulce Romero-Ayuso
Keyword(s):  
Older Adults ◽  
Occupational Therapy ◽  
Randomized Trial ◽  
Self Efficacy ◽  
Well Being

scholarly journals OLDER ADULTS’ SOCIAL RELATIONSHIPS AND WELL-BEING IN A DIGITAL WORLD

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S14-S14
Author(s):  
Shannon T Mejia ◽  
Sara J Czaja
Keyword(s):  
Older Adults ◽  
Technology Adoption ◽  
Social Integration ◽  
Social Relationships ◽  
Technology Use ◽  
Internet Use ◽  
Well Being ◽  
Digital World ◽  
Use Of Technology ◽  
Challenges And Opportunities

Abstract As adults age into a digitally connected world, communication technologies such as the internet, email, social media, and video chats offer new opportunities to connect with others. The implications of older adults’ use of technology in the context of their social relationships—such as the implications for social integration, the relational circumstances of technology adoption, implications for daily experiences of well-being, and opportunities to form new relationships—are less understood. This symposium brings together diverse and complementary perspectives on the contribution of technology to older adults’ social experiences. We begin with inquiry into implications of internet use for social integration. Hees and colleagues use data from the German Ageing Survey to examine how internet use is associated with change in loneliness over a three-year period in older adults who are either before or after retirement. Our symposium continues with papers on technology use within the context of older adults’ existing close relationships. Chopik examines individual and dyadic predictors of technology adoption. Mejía and colleagues consider the implications for digital social interactions for older adult’s well-being on that day. Our final paper discusses the potential for technology to aid in the development of new relationships. Rogers and colleagues describe findings from their OneClick.chat project, a web-based video chat application that connects older adults based on their shared interests. Our session concludes with a discussion led by Czaja, who will integrate the four papers and discuss the challenges and opportunities of using technology to support older adults’ social relationships and well-being.

scholarly journals THE GOOD, THE BAD, AND THE UGLY: EXAMINING OUTCOMES OF TECHNOLOGY USE AMONG OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S194-S194
Author(s):  
Shelia Cotten ◽  
Shelia R Cotten ◽  
Travis Kadylak
Keyword(s):  
Older Adults ◽  
Information And Communication Technologies ◽  
Technology Use ◽  
Well Being ◽  
The United States ◽  
Negative Outcomes ◽  
Mobile Phone Use ◽  
Ict Use ◽  
Information And Communication ◽  
Nationally Representative

Abstract Older adults are increasingly using information and communication technologies (ICTs) to communicate with social ties, gather information to make decisions, and for entertainment purposes. Research is increasingly showing that using ICTs has a range of potential benefits for older adults. However, less research examines the potential negative outcomes of ICT use for older adults. Data from a nationally representative sample of older adults in the United States is used to examine positive and negative outcomes of ICT use. Traditional well-being and social connection outcomes are examined as well as new stressors associated with mobile phone use. Our findings suggest that ICT use has varying effects on older adults, depending upon the type, level, and purposes of use. Implications are discussed for entities seeking to encourage ICT use to enhance health and quality of life among older adults.

Resistance Training and Older Adults’ Beliefs about Psychological Benefits: The Importance of Self-Efficacy and Social Interaction

2007 ◽  
Vol 29 (6) ◽  
pp. 723-746 ◽  
Author(s):  
Rylee Dionigi
Keyword(s):  
Older Adults ◽  
Social Interaction ◽  
Resistance Training ◽  
Older People ◽  
Self Efficacy ◽  
Well Being ◽  
Psychological Benefits ◽  
Psychological Well Being ◽  
Training Interventions ◽  
Quantitative Studies

The purpose of this study was to determine the perceived psychological benefits and explore the mechanisms underlying the link between exercise and psychological well-being for a group of older adults (65-72 years; 6 women; 4 men) who participated in a 12-week program of moderate-to-high intensity resistance training. They were interviewed in-depth at 1 week preintervention, 1 month after commencement, and 1 week after completion. The participants believed that resistance training enhanced their well-being, and they gave various physical, mental, and social reasons to explain this link. In particular, self-efficacy and social interaction were found to be key mechanisms underlying this relationship. This study exposed meaningful perceived improvements in psychological well-being that have not been uncovered in quantitative studies of healthy older people undertaking resistance training. The findings highlight the importance of using qualitative methods to enrich understandings of the positive effect of exercise on psychological well-being. The findings also have implications for designing effective resistance training interventions for older people.

scholarly journals Use of Wearable Healthcare Devices by US adults: Patterns of Use and Key Predictors (Preprint)

2020 ◽  
Author(s):  
Ranganathan Chandrasekaran ◽  
Vipanchi Katthula ◽  
Evangelos Moustakas
Keyword(s):  
Self Efficacy ◽  
College Graduates ◽  
College Education ◽  
Wearable Devices ◽  
Health Data ◽  
Care Providers ◽  
Factors Affecting ◽  
Usage Patterns ◽  
Household Incomes ◽  
Personal Demographics

BACKGROUND Despite growing popularity of wearable healthcare devices, we have limited understanding about the actual use of these devices by US adults and the key factors affecting the use. OBJECTIVE To examine the use of wearable healthcare devices by US adults, and key predictors of wearables' use. We examine predictors related to an individual’s health, technology self-efficacy and personal demographics and their associations with the use of wearable health devices. METHODS Using a national survey of 4551 respondents, we examine the usage patterns of wearable healthcare devices (use of wearables, frequency of their use and willingness to share health data from wearable with a provider), and a set of predictors that pertain to personal demographics (age, gender, race, education, marital status and household income), individual's health (general health, presence of chronic conditions, weight perceptions and frequency of provider visits, attitude towards exercise), and technology self-efficacy using logistic regression. RESULTS About 30% US adults use wearable healthcare devices. Among the users, nearly half (47.33%) use the devices every day with a majority (82.38%) willing to share the health data from wearables with their care providers. Women (16.25%), Whites (19.74%), adults aged between 18-50 (19.52%), those with some level of college education or college graduates (25.6%), and annual household incomes above $75K (17.66%) were most likely to report using wearable healthcare devices. We found that use of wearables declines with age: adults aged over 50 are less likely to use wearables as compared to those who are aged between 18-34 (Odds ratio OR values between 0.46 to 0.57. Women (OR = 1.26; 95% CI 0.96 -1.65), Whites (OR = 1.65; 95% CI 0.97 - 2.79), college graduates (OR = 1.05; 95% CI 0.31-3.51), and those annual household incomes above $75K (OR = 2.6; 95% CI 1.39 - 4.86 ) are more likely to use wearables. US adults who felt healthier (OR = 1.17; 95% CI 0.98 - 1.39), overweight (OR = 1.16; 95% CI = 1.06-1.27), enjoyed exercise (OR = 1.23; 95% CI 1.06 - 1.43) and those with higher levels of technology self-efficacy (OR = 1.33; 95% CI 1.21 - 1.46) are more likely to adopt and use wearables for tracking or monitoring their health . CONCLUSIONS The potential of healthcare wearable devices is under realized with less than one-third of US adults actively using it. With only young, healthier, wealthier, educated, techno-literate adults using wearables, other groups have been left behind. More concentrated efforts by clinicians, device makers and healthcare policy makers are needed to bridge this divide and improve the use of wearable devices among larger sections of American society. CLINICALTRIAL

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