scholarly journals The use of ICT in older adults strengthens their social network and reduces social isolation: Literature Review and Research Agenda

2021 ◽  
Vol 54 (13) ◽  
pp. 645-650
Author(s):  
Mihael Nedeljko ◽  
David Bogataj ◽  
Boris Miha Kaučič
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 328-328
Author(s):  
Simona Kwon ◽  
Deborah Min ◽  
Stella Chong

Abstract Asian Americans are the fastest growing racial and ethnic minority group in the United States, whose population is aging considerably. Previous studies indicate that social isolation and loneliness disproportionately affects older adults and predicts greater physical, mental, and cognitive decline. A systematic literature review using PRISMA guidelines was conducted to address this emerging need to understand the scope of research focused on social isolation and loneliness among the disparity population of older Asian Americans. Four interdisciplinary databases were searched: PubMed, CINAHL, PsycINFO, and AgeLine; search terms included variations on social isolation, loneliness, Asian Americans, and older adults. Articles were reviewed based on six eligibility criteria: (1) research topic relevance, (2) study participants aged >60 years, (3) Asian immigrants as main participants, (4) conducted in the United States, (5) published between 1995-2019, and (6) printed in the English language. The search yielded 799 articles across the four databases and 61 duplicate articles were removed. Abstracts were screened for the 738 remaining studies, 107 of which underwent full-text review. A total of 56 articles met the eligibility criteria. Synthesis of our review indicates that existing research focuses heavily on Chinese and Korean American immigrant communities, despite the heterogeneity of the diverse Asian American population. Studies were largely observational and employed community-based sampling. Critical literature gaps exist surrounding social isolation and loneliness in Asian American older adults, including the lack of studies on South Asian populations. Future studies should prioritize health promotion intervention research and focus on diverse understudied Asian subgroups.


2021 ◽  
Author(s):  
Rita Latikka ◽  
Rosana Rubio-Hernández ◽  
Elena Simona Lohan ◽  
Juho Rantala ◽  
Fernando Nieto Fernández ◽  
...  

BACKGROUND Loneliness and social isolation can have severe effects on human health and well-being. Partial solutions to combat these circumstances in demographically aging societies have been sought from the field of information and communication technology (ICT). OBJECTIVE This systematic literature review investigates the research conducted on older adults’ loneliness and social isolation, and physical ICTs, namely robots, wearables, and smart homes, in the era of ambient assisted living (AAL). The aim is to gain insight into how technology can help overcome loneliness and social isolation other than by fostering social communication with people and what the main open-ended challenges according to the reviewed studies are. METHODS The data were collected from 7 bibliographic databases. A preliminary search resulted in 1271 entries that were screened based on predefined inclusion criteria. The characteristics of the selected studies were coded, and the results were summarized to answer our research questions. RESULTS The final data set consisted of 23 empirical studies. We found out that ICT solutions such as smart homes can help detect and predict loneliness and social isolation, and technologies such as robotic pets and some other social robots can help alleviate loneliness to some extent. The main open-ended challenges across studies relate to the need for more robust study samples and study designs. Further, the reviewed studies report technology- and topic-specific open-ended challenges. CONCLUSIONS Technology can help assess older adults’ loneliness and social isolation, and alleviate loneliness without direct interaction with other people. The results are highly relevant in the COVID-19 era, where various social restrictions have been introduced all over the world, and the amount of research literature in this regard has increased recently.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 563-563
Author(s):  
Amber Seidel ◽  
Jeremy Yorgason ◽  
Áine Humble ◽  
Roxanne Humphris

Abstract Social support has a rich foundation in family gerontology benefiting older adults, such as bolstering mental health, decreasing social isolation, and connecting them in families and communities. This study draws from a decade review of 995 empirical articles focusing on family gerontology from 13 of the top journals in gerontology, family, and relationships. Of the 995 articles, 86 were coded as social support or social network. Of these 86 articles, less than 3% included dyadic analyses, 95% were quantitative with just over 30% longitudinal. Over 30 different theories were identified with many building their work off multiple theories. Two key theories appear in over 30% of the articles, social support and socioemotional selectivity. Only 4% did not cite any theoretical framework. Overall, this presentation will review the methods, theories, and key findings of the social network/social support subtheme of a decade review of family gerontology and identify related gaps.


2021 ◽  
Vol 12 ◽  
Author(s):  
Sara J. Czaja ◽  
Jerad H. Moxley ◽  
Wendy A. Rogers

Objectives: Social isolation and loneliness are serious public health issues given the association with negative physical, mental; and cognitive health outcomes and increased risk for mortality. Due to changes in life circumstances many aging adults are socially isolated and experience loneliness. We examined the relationships among four correlated but distinct constructs: social network size, social support, social isolation, and loneliness as they relate to indices of health and wellbeing among diverse subpopulations of older adults. Guided by WHO’s International Classification of Functioning, Disability and Health (ICF) we also examined factors that predict loneliness and social isolation.Methods: Analyses of baseline data from sample of older adults who participated in an intervention trial that examined the beneficial effects of a software system designed to support access to resources and information, and social connectivity. Participants included 300 individuals aged 65–98, who lived alone, were primarily of lower socio-economic status and ethnically diverse. Participants completed a demographics questionnaire, self-report measures of health, depression, social network size, social support, and loneliness.Results: Loneliness was strongly associated with depression and self-ratings of health. In turn, greater social isolation and less social support were associated with greater loneliness. Social isolation was associated with depression and lower self-ratings of health. The association between social isolation and health was mediated by loneliness. Individuals in the older cohorts (80+) reported less social support. With respect to loneliness, having a smaller social network, more functional limitations, and limitations in engaging meaningful activities was associated with higher levels of loneliness and greater social isolation.Conclusion: The findings underscore the importance of social connectively to wellbeing for older adults and suggest that those in the older cohorts, who have a small social network, and with greater physical and functional impairments may be particularly vulnerable to being socially isolated and lonely. The findings provide guidance for future interventions. In this regard, we discuss how Information and Communication Technologies (ICTs) may be used to promote social connectivity and engagement. Strategies to make the usability and availability of these applications for aging adults are highlighted.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 426-426
Author(s):  
Brielle Ross ◽  
Allura Lothary ◽  
Dillon Myer ◽  
Raksha Mudar ◽  
Wendy Rogers ◽  
...  

Abstract Concerns about loneliness and social isolation for older adults were already evident but have been exacerbated during the pandemic. Home and Community Based Organizations (HCBOs) provide support for their older clients in the community and need to support their staff, who may be working remotely. We are exploring the potential of video chat technology to connect older adults with their friends, families, and other support. We review the technologies available to older adults in the community and staff working with older adults to promote social engagement. We are collaborating with OneClick.chat to identify the needs of the HCBOs through a literature review and qualitative interviews of staff members from different senior living environments. Their challenges and successes of engaging older adults through video chat technologies will provide guidance for design of an HCBO dashboard for OneClick.chat that will support diverse needs.


2017 ◽  
Vol 40 (8) ◽  
pp. 715-739 ◽  
Author(s):  
Oksana Harasemiw ◽  
Nancy Newall ◽  
Shahin Shooshtari ◽  
Corey Mackenzie ◽  
Verena Menec

It is well-documented that social isolation is detrimental to health and well-being. What is less clear is what types of social networks allow older adults to get the social support they need to promote health and well-being. In this study, we identified social network types in a national sample of older Canadians and explored whether they are associated with perceived availability of different types of social support (affectionate, emotional, or tangible, and positive social interactions). Data were drawn from the baseline questionnaire of the Canadian Longitudinal Study on Aging for participants aged 65–85 (unweighted n = 8,782). Cluster analyses revealed six social network groups. Social support generally declined as social networks became more restricted; however, different patterns of social support availability emerged for different social network groups. These findings suggest that certain types of social networks place older adults at risk of not having met specific social support needs.


2013 ◽  
Vol 25 (9) ◽  
pp. 1493-1502 ◽  
Author(s):  
Denise Burnette ◽  
Sugarmaa Myagmarjav

ABSTRACTBackground:In Mongolia, social, demographic, and geographic factors have heightened the need for a reliable means to assess social isolation of older adults. The purpose of this study was to identify, translate, and validate such a measure.Methods:The study was conducted in two phases: translation and back translation of the 18-item Lubben Social Network Scale to Mongolian (LSNS-18-M) and field testing to establish reliability and validity and to explore potential cut-off points. The sample comprised 198 Mongolians aged ≥55 years selected from six hospitals in Ulaanbaatar, Mongolia.Results:Internal consistency and intraclass correlations for the LSNS-18-M were excellent, indicating high reliability. The scale showed strong convergence with social disconnectedness and perceived isolation scales and with the Geriatric Depression Scale. It was also inversely related to self-rated health status, but not to the physical or mental health subscales of the Short Form-12 (SF-12) survey. The LSNS-18-M scores discriminated among three levels of social disconnectedness and three levels of perceived isolation. Regarding content validity, the 18 items loaded cleanly on the same three factors as the original LSNS-18, inter-factor correlations were good, all factors were correlated with the LSNS-18-M, and they accounted for two-thirds of variance in scores.Conclusions:The LSNS-18-M had excellent reliability and good validity with a sample of older Mongolians and should be useful for screening, assessment, and monitoring social isolation. Future studies should examine lack of association with the SF-12 and should assess the scale's use with non-hospitalized and non-urban older adults in Mongolia and with Mongolian speakers outside the country.


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