scholarly journals Exploring Social and Assistive Domestic Robots for Older Adults: Robot Sociability, Trust, and Acceptance

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 302-302
Author(s):  
Megan Bayles ◽  
Wendy Rogers ◽  
Travis Kadylak
Keyword(s):  
Older Adults ◽  
Social Engagement ◽  
Online Survey ◽  
Social Characteristics ◽  
Assistive Robots ◽  
Age In Place ◽  
Open Questions ◽  
Social Abilities ◽  
Domestic Robots ◽  
Task Types

Abstract Older adults prefer to age in place, to live independently while maintaining social connection and engagement with the community. Though older adults can encounter barriers to these goals, social and assistive domestic robots hold promise for promoting independence and online/offline social engagement. However, social robots must be designed to meet their needs and preferences. Open questions remain regarding how to facilitate the development of trust and acceptance in robot support. We investigated the associations between robot social characteristics, sociability, trust, and acceptance for instrumental activities of daily living. We used an online survey to assess older adults’ perceptions towards social and assistive robots. Robots with more social abilities were rated as more acceptable and trustworthy across different task types. We discuss design implications that may promote the development of robot trust and acceptance by older adults, and ultimately help enable aging in place and social engagement.

scholarly journals Online social engagement, depression, and anxiety among older adults

2021 ◽  
pp. 146144482110543
Author(s):  
Matthias Hofer ◽  
Eszter Hargittai
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Social Interactions ◽  
Information And Communication Technologies ◽  
Social Engagement ◽  
Online Survey ◽  
Communication Technologies ◽  
Depression And Anxiety ◽  
Information And Communication ◽  
Using Data

As opportunities for social interactions proliferate online, questions arise as to how engagement in such activities may relate to mental health. Given older adults’ shrinking networks and increasing use of information and communication technologies (ICTs), online interactions could offer alternatives for connections that could ultimately benefit older users’ mental health. This article examines associations between older adults’ online social engagement and their mental health. Using data from an online survey of older adults ages 60+, we find positive and negative associations between different forms of online social engagement and anxiety. In terms of depression, two forms of online social engagement showed positive associations with this mental health indicator. Our results can help explain inconclusive findings of previous research on ICT use and mental health by looking at how specific online social activities relate to mental health.

scholarly journals Sleep Health, Depression, Pain and Quality of Life among Older Adults during the First Months of the Covid-19 Pandemic

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 865-865
Author(s):  
Rebecca Lorenz ◽  
Devita Stallings ◽  
Janice Palmer ◽  
Helen Lach
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Socioeconomic Status ◽  
Social Engagement ◽  
Online Survey ◽  
Personal Characteristics ◽  
Poor Sleep ◽  
Physical And Mental Health ◽  
Sleep Health

Abstract To slow the spread of Covid-19, many states instituted restrictions on group size for religious services, exercise, and social engagement. We are beginning to understand the effect of these mandates on older adults. The purpose of this study was to examine the relationships between sleep health, depression, pain, and quality of life (QOL) among older adults during the initial months of the Covid-19 pandemic. Older adults completed an anonymous online survey to collect data including personal characteristics, behaviors, and health conditions during May-September 2020. Sleep Health was assessed with a survey of satisfaction, timing, efficiency, and duration of sleep along with daytime alertness. Pearson correlations were used to explore relationships between age, education, socioeconomic status, pain, depression, and QOL. Participants (N=509) were primarily female (n=392, 77%), white (n=466; 92%), college educated (n=471, 93%) and with a mean age of 75.6 years (SD=5.0; range 63-93 years). Mean Sleep Health score was 7.4 (SD=2.1; range 0-10). Higher (better) Sleep Health scores were associated with education (r=.15, p<01) and socioeconomic status (r=.17, p<.01) and lower scores with depression (r= -.35, p<.01), pain (r= -.23, p<.01), and QOL (r= -.26, p<.01). Poorer Sleep Health among older adults during the initial months of the pandemic were associated with depression, pain, and reduced QOL. Sleep, depression, and pain have reciprocal relationships that may have lasting consequences on physical and mental health among older adults. These findings suggest that poor sleep health should be identified and treated to improve QOL among older adults.

scholarly journals Linking Coping Behavior and Mental Well-Being in Older Adults During the COVID-19 Pandemic

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 724-724
Author(s):  
Dugan O'Connor ◽  
Jennifer Smith
Keyword(s):  
Older Adults ◽  
Perceived Stress ◽  
Social Engagement ◽  
Screen Time ◽  
Online Survey ◽  
Negative Impact ◽  
Coping Behavior ◽  
Well Being ◽  
Coping Behaviors ◽  
Watching Tv

Abstract In addition to being a significant source of stress, the COVID-19 pandemic required older adults to drastically alter their behaviors and routines. People cope with stress in various ways; however, the pandemic was a unique situation that warranted investigation of this topic. This study aimed to identify the ways older adults coped with the COVID-19 pandemic, and the relationship between specific coping behaviors and perceived stress and mental health. Two hundred thirty-one older adults, ages 53 to 90, completed an online survey about coping behaviors used to manage stress during the pandemic, as well as measures of loneliness, depression, perceived stress, and the negative impact of the COVID-19 pandemic on their lives. “Talking with friends and family” (83%) and “increased television watching or other screen-time” (68%) were the most common coping behaviors. A series of one-way analyses of covariance (ANCOVA), with race, gender, age, education, and income included as covariates, revealed “eating more often” and “drinking alcohol” were associated with greater loneliness, depression, and stress. “Increased screen time” was also associated with greater depression and stress. “Engaging in more family activities,” was associated with a less negative impact of the pandemic, and “talking with friends and family” was associated with less loneliness. These findings suggest older adults who coped with stress of the COVID-19 pandemic through more eating, drinking, and the second most common behavior—watching TV—were more likely to report poorer well-being, and may benefit from programs to boost virtual social engagement.

scholarly journals Task-Data Taxonomy for Health Data Visualizations: Web-Based Survey With Experts and Older Adults (Preprint)

2017 ◽  
Author(s):  
Sabine Theis ◽  
Peter Wilhelm Victor Rasche ◽  
Christina Bröhl ◽  
Matthias Wille ◽  
Alexander Mertens
Keyword(s):  
Older Adults ◽  
Online Survey ◽  
Empirical Evaluation ◽  
Health Data ◽  
Control Group ◽  
Data Types ◽  
Open Questions ◽  
User Groups ◽  
Health Situation ◽  
Data Visualizations

BACKGROUND Increasingly, eHealth involves health data visualizations to enable users to better understand their health situation. Selecting efficient and ergonomic visualizations requires knowledge about the task that the user wants to carry out and the type of data to be displayed. Taxonomies of abstract tasks and data types bundle this knowledge in a general manner. Task-data taxonomies exist for visualization tasks and data. They also exist for eHealth tasks. However, there is currently no joint task taxonomy available for health data visualizations incorporating the perspective of the prospective users. One of the most prominent prospective user groups of eHealth are older adults, but their perspective is rarely considered when constructing tasks lists. OBJECTIVE The aim of this study was to construct a task-data taxonomy for health data visualizations based on the opinion of older adults as prospective users of eHealth systems. eHealth experts served as a control group against the bias of lacking background knowledge. The resulting taxonomy would then be used as an orientation in system requirement analysis and empirical evaluation and to facilitate a common understanding and language in eHealth data visualization. METHODS Answers from 98 participants (51 older adults and 47 eHealth experts) given in an online survey were quantitatively analyzed, compared between groups, and synthesized into a task-data taxonomy for health data visualizations. RESULTS Consultation, diagnosis, mentoring, and monitoring were confirmed as relevant abstract tasks in eHealth. Experts and older adults disagreed on the importance of mentoring (χ24=14.1, P=.002) and monitoring (χ24=22.1, P<.001). The answers to the open questions validated the findings from the closed questions and added therapy, communication, cooperation, and quality management to the aforementioned tasks. Here, group differences in normalized code counts were identified for “monitoring” between the expert group (mean 0.18, SD 0.23) and the group of older adults (mean 0.08, SD 0.15; t96=2431, P=.02). Time-dependent data was most relevant across all eHealth tasks. Finally, visualization tasks and data types were assigned to eHealth tasks by both experimental groups. CONCLUSIONS We empirically developed a task-data taxonomy for health data visualizations with prospective users. This provides a general framework for theoretical concession and for the prioritization of user-centered system design and evaluation. At the same time, the functionality dimension of the taxonomy for telemedicine—chosen as the basis for the construction of present taxonomy—was confirmed.

scholarly journals LONELINESS AND HEALTH AMONG OLDER ADULTS: RESULTS FROM THE UNIVERSITY OF MICHIGAN NATIONAL POLL ON HEALTHY AGING

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S600-S601
Author(s):  
Erica Solway ◽  
John Piette ◽  
Matthias Kirch ◽  
Dianne Singer ◽  
Jeffrey Kullgren ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Engagement ◽  
Online Survey ◽  
Healthy Aging ◽  
Social Contact ◽  
University Of Michigan ◽  
Healthy Behaviors ◽  
National Poll ◽  
Nationally Representative ◽  
The University

Abstract In October 2018, the University of Michigan National Poll on Healthy Aging conducted an online survey using a nationally representative household sample of adults age 50 to 80. One in three respondents (34%) reported feeling a lack of companionship and 27% reported feeling isolated from others some of the time or often during the past year. Those with fair or poor self-reported physical health, mental health, or hearing were more likely to report feeling a lack of companionship or feel isolated as were those who reported less frequently engaging in healthy behaviors. More than one in four (28%) reported social contact with people outside of their household once a week or less. Given the high prevalence of loneliness and its connection to poor health and health behaviors, research on this important issue and efforts to increase social engagement among older adults deserve increased attention.

Perceived Voice Disorders in Older Adults and Impact on Social Interactions

2021 ◽  
pp. 1-8
Author(s):  
Connie K. Porcaro ◽  
Clare Singer ◽  
Boris Djokic ◽  
Ali A. Danesh ◽  
Ruth Tappen ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Interactions ◽  
Social Engagement ◽  
Leisure Activities ◽  
Treatment Strategies ◽  
Voice Disorders ◽  
Community Dwelling ◽  
Vocal Performance ◽  
Older Individuals ◽  
Cross Sectional

Purpose Many aging individuals, even those who are healthy, report voice changes that can impact their ability to communicate as they once did. While this is commonly reported, most do not seek evaluation or management for this issue. The purpose of this study was to investigate the prevalence and differences in voice disorders in older adults, along with the effect of fatigue on their social interactions. Method This is a cross-sectional investigation of a community-dwelling sample of individuals aged 60 years or older. Participants completed the Questionnaire on Vocal Performance, the Social Engagement Index subset “Engagement in Social or Leisure Activities,” and the Fatigue Severity Scale. Results Results indicated 32.5% of the 332 participants reported symptoms of voice problems with no difference found between male and female respondents. A slight increase in report of voice problems was noted with each year of age. Participants who self-reported voice problems indicated less interaction in social activities involving communication than those who did not. Finally, as severity of self-reported voice problems increased, an increase was reported by the same individuals for signs of fatigue. Conclusions Voice problems and resulting decreased social interaction are commonly experienced by older individuals. Voice symptoms in older adults have been found to benefit from evidence-based treatment strategies. It is critical to provide education to encourage older individuals to seek appropriate evaluation and management for voice issues through a speech-language pathologist or medical professional.

scholarly journals Brain Health: Attitudes towards Technology Adoption in Older Adults

Healthcare ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
Nadir G. Abdelrahman ◽  
Raza Haque ◽  
Molly E. Polverento ◽  
Andrea Wendling ◽  
Courtney M. Goetz ◽  
...  
Keyword(s):  
Older Adults ◽  
Technology Adoption ◽  
Physical Health ◽  
Social Engagement ◽  
Information Technologies ◽  
New Technology ◽  
Handheld Devices ◽  
Brain Health ◽  
Use Of Technology ◽  
Health Related

(1) Background: There is increasing scholarly support for the notion that properly implemented and used, technology can be of substantial benefit for older adults. Use of technology has been associated with improved self-rating of health and fewer chronic conditions. Use of technology such as handheld devices by older adults has the potential to improve engagement and promote cognitive and physical health. However, although, literature suggests some willingness by older adults to use technology, simultaneously there are reports of a more cautious attitude to its adoption. Our objective was to determine the opinions towards information technologies, with special reference to brain health, in healthy older adults either fully retired or still working in some capacity including older adult workers and retired adults living in an independent elderly living community. We were especially interested in further our understanding of factors that may play a role in technology adoption and its relevance to addressing health related issues in this population; (2) Methods: Two focus groups were conducted in an inner-city community. Participants were older adults with an interest in their general health and prevention of cognitive decline. They were asked to discuss their perceptions of and preferences for the use of technology. Transcripts were coded for thematic analysis; (3) Results: Seven common themes emerged from the focus group interviews: physical health, cognitive health, social engagement, organizing information, desire to learn new technology, advancing technology, and privacy/security; and (4) Conclusions: This study suggests that in order to promote the use of technology in older adults, one needs to consider wider contextual issues, not only device design per se, but the older adult’s rationale for using technology and their socio-ecological context.

scholarly journals Social Engagement and Episodic Memory in Non-Hispanic Black and White Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 343-343
Author(s):  
Abbey Hamlin ◽  
A Zarina Kraal ◽  
Laura Zahodne
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Episodic Memory ◽  
Cognitive Aging ◽  
Social Engagement ◽  
Future Research ◽  
Social Activities ◽  
Linear Regression Models ◽  
Significant Positive Association ◽  
Cross Sectional

Abstract Social engagement may confer cognitive benefits in older adulthood, but studies have typically been restricted to largely non-Hispanic White (NHW) samples. Levels of social engagement vary across race such that NHW report larger social networks, more frequent participation in social activities, and greater social support than non-Hispanic Blacks (NHB). Associations between social engagement and cognition may also vary by race, but research is sparse. The current cross-sectional study examined associations between different aspects of social engagement and episodic memory performance, as well as interactions between social engagement and race among NHB and NHW participants in the Michigan Cognitive Aging Project (N = 247; 48.4% NHB; age = 64.19 ± 2.92). Social engagement (network size, activities, support) was self-reported. Episodic memory was a z-score composite of immediate, delayed, and recognition trials of a list-learning task. Separate hierarchical linear regression models quantified interactions between race and each of the three social engagement variables on episodic memory, controlling for sociodemographics, depressive symptoms, and health conditions. Results showed a main effect of more frequent social activity on better episodic memory, as well as an interaction between race and social support indicating a significant positive association in NHB but not NHW. These preliminary findings suggest that participating in social activities may be equally beneficial for episodic memory across NHB and NHW older adults and that social support may be particularly beneficial for NHB. Future research is needed to determine the potential applications of these results in reducing cognitive inequalities through the development of culturally-relevant interventions.

scholarly journals Supporting Older Adults and Caregivers Through Integrative Service Learning During COVID

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 958-958
Author(s):  
Keith Chan ◽  
Sarah LaFave ◽  
Maggie Ratnayake ◽  
Christina Marsack-Topolewski ◽  
Jillian Graves ◽  
...  
Keyword(s):  
Older Adults ◽  
Service Learning ◽  
Community Resources ◽  
Learning Models ◽  
Process Data ◽  
Community Based ◽  
Age In Place ◽  
Home Based ◽  
Hands On ◽  
Hands On Learning

Abstract There is a growing population of older adults who are living longer and acquiring chronic illness and disabilities, making it difficult for them to complete everyday activities and age in place. More than 2 million of these older adults are homebound and 5 million need help leaving their homes. They experience social isolation, food insecurity, and lack of connection to community resources which has intensified since the pandemic. Integrative service learning models can provide home-based support to older adults while offering valuable, hands-on learning experiences for students. This study examined findings for a community-based program which trained university students to provide practical home-based support for older adults and their caregivers. Data was collected for 109 older adults who were connected with student trainees. Students provided services with groceries, companionship, and help accessing needed services. Findings from t-test results using the UCLA Loneliness Scale indicated that older adults reported less loneliness after engagement with students (mean difference = 6.15, t = 3.14, df = 82, p &lt; 0.01). Qualitative process data suggested that older adults benefited from services and a connection to their assigned students prior to and during the pandemic. Student trainees reported that the experience enriched their learning and reaffirmed their commitment to working with older adults. Community-based service learning can address home-based needs of older adults and their caregivers and enhance learning opportunities for students. Policies and practice can support a pipeline of geriatric health professionals through innovative service learning models to benefit older adults, caregivers and students.

scholarly journals The impact of the COVID-19 pandemic on wellbeing and cognitive functioning of older adults

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sarah De Pue ◽  
Céline Gillebert ◽  
Eva Dierckx ◽  
Marie-Anne Vanderhasselt ◽  
Rudi De Raedt ◽  
...  
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
At Risk ◽  
Sleep Quality ◽  
Cognitive Functioning ◽  
Online Survey ◽  
Activity Level ◽  
The Impact

AbstractCOVID-19 took a heavy toll on older adults. In Belgium, by the end of August, 93% of deaths due to COVID-19 were aged 65 or older. Similar trends were observed in other countries. As a consequence, older adults were identified as a group at risk, and strict governmental restrictions were imposed on them. This has caused concerns about their mental health. Using an online survey, this study established the impact of the COVID-19 pandemic on adults aged 65 years or older, and which factors moderate this impact. Participants reported a significant decrease in activity level, sleep quality and wellbeing during the COVID-19 pandemic. Depression was strongly related to reported declines in activity level, sleep quality, wellbeing and cognitive functioning. Our study shows that the COVID-19 pandemic had a severe impact on the mental health of older adults. This implies that this group at risk requires attention of governments and healthcare.

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