Social function and psychological wellbeing among older Australian users of computer-mediated communication
Does social distancing impact use
Bibliographic Data
| ID | 21452104 |
|---|---|
| Authors | Belinda G Fuss (0000-0002-7766-533X, The University of Adelaide), Belinda Fuss (The University of Adelaide, corresponding author), Diana S Dorstyn (0000-0002-7799-8177, The University of Adelaide), Lynn Ward (0000-0002-3006-8247, The University of Adelaide) |
| Year | 2022 |
| Volume | 41 |
| Issue | 14 |
| Pages | 3001-3012 |
| Publication date | 2022-10-26 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Behaviour and Information Technology (JOURNAL) |
| Journal identifiers | ISSN: 0144-929X • E-ISSN: 1362-3001 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0144929x.2021.1968952 |
| OpenAlex | W3195797393 |
| Language | EN |
| Citations received | 2 |
| References cited | 55 |
Older adults were at particular risk for loneliness during the height of the COVID-19 pandemic. In this instance, the use of computers for communication (i.e. computer-mediated communication, CMC) may help to enhance older people’s social interactions and relationships. In the present study, 113 community-dwelling users of CMC, aged 65 years and over, were surveyed in order to better understand the effects of CMC in addition to the individual characteristics contributing to patterns of online communication. An opportunity to examine the impact of the pandemic on CMC behaviours presented approximately 12 months after the initial study with 70 participants resurveyed. High levels of social functioning, in addition to good physical and psychological health, were reported by this group of digitally active users. A positive association between high CMC use and social functioning was noted, even after controlling for differences in personality, frequency of face-to-face communication, health, gender, and relationship status. Interestingly, the pandemic saw a reduction in weekly CMC use, although CMC-based behaviours remained unchanged. The present findings highlight the important role that technology has in facilitating and maintaining supports and, potentially, reducing social isolation by helping older adults stay in touch with family and friends
Computer-mediated communication · Coronavirus disease 2019 (COVID-19) · Developmental psychology · Loneliness · Psychiatry · Social distance · Social isolation · Social support · The Internet · World Wide Web · Aging and Gerontology Research · Clinical Psychology · Health disparities and outcomes · Medicine · Psychology · Social Psychology · Technology Use by Older Adults · Gerontology
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Barriers to Social Participation among Lonely Older Adults
The Digital Divide Among Low-Income Homebound Older Adults
Mini-Markers
Social connectedness, dysfunctional interpersonal behaviors, and psychological distress
Facebook as a source of social connectedness in older adults
Social Support and “Playing Around”
The Effect of Information Communication Technology Interventions on Reducing Social Isolation in the Elderly
Computer use by older adults
Case-Fatality Rate and Characteristics of Patients Dying in Relation to Covid-19 in Italy
Older adults’ experiences and perceptions of digital technology
The Depression Anxiety Stress Scales (Dass)
Human Aging
An Updated Guideline for Assessing Discriminant Validity
Measuring belongingness
The Need to Belong
The Development of the 2-Way Social Support Scale
Impact of Covid-19 pandemic on mental health in the general population
The Satisfaction With Life Scale
Loneliness and Social Engagement in Older Adults Based in Lombardy during the Covid-19 Lockdown
Multimodal Computer-Mediated Communication and Social Support among Older Chinese Internet Users
Cultivating Social Resources on Social Network Sites
Information and Communication Technology Use Is Related to Higher Well-Being Among the Oldest-Old
IT Use and Declining Social Capital
Sense of Belonging as a Predictor of Reasons for Living in Older Adults
Percentile Norms and Accompanying Interval Estimates from an Australian General Adult Population Sample for Self‐Report Mood Scales (BAI, BDI, CRSD, CES‐D, Dass, Dass‐21, STAI‐X, STAI‐Y, SRDS, and SRAS)
The relationships that matter
A very brief measure of the Big-Five personality domains
Discriminant validity of well-being measures
Stress, social support, and the buffering hypothesis
| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |