Evidence map›Paper›PMID 37876716›Full record

ArticleFrontiers in public health2023

"If you weren't connected to the Internet, you were not alive": experience of using social technology during COVID-19 in adults 50.

Katrina Ling, Danielle Langlois, Harrison Preusse, Jennifer M Rheman, Danya Parson, Sarah Kuballa, Martin Simecek, Katherine M Tsui, Marlena R Fraune

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
6.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Katrina LingIntergroup Human-Robot Interaction Lab, Department of Psychology, New Mexico State University, Las Cruces, NM, United States.
Danielle LangloisFaculty of Informatics, Masaryk University, Brno, Czechia.
Harrison PreusseIntergroup Human-Robot Interaction Lab, Department of Psychology, New Mexico State University, Las Cruces, NM, United States.
Jennifer M RhemanIntergroup Human-Robot Interaction Lab, Department of Psychology, New Mexico State University, Las Cruces, NM, United States.
Danya ParsonIntergroup Human-Robot Interaction Lab, Department of Psychology, New Mexico State University, Las Cruces, NM, United States.
Sarah KuballaIntergroup Human-Robot Interaction Lab, Department of Psychology, New Mexico State University, Las Cruces, NM, United States.
Martin SimecekIntergroup Human-Robot Interaction Lab, Department of Psychology, New Mexico State University, Las Cruces, NM, United States.
Katherine M TsuiToyota Research Institute, Cambridge, MA, United States.
Marlena R FrauneIntergroup Human-Robot Interaction Lab, Department of Psychology, New Mexico State University, Las Cruces, NM, United States.
New Mexico State University · USMasaryk University · CZToyota Research Institute

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Loneliness and social isolation reduce physical and mental wellbeing. Older adults are particularly prone to social isolation due to decreased connection with previous social networks such as at workplaces. Social technology can decrease loneliness and improve wellbeing. The COVID-19 pandemic prompted quarantine and social distancing for many people, creating a context of widespread social isolation. Method: In the current study, we interviewed middle-aged and older adults' (n = 20) about their use of social technology when social isolation was common: during the early part of the pandemic while social isolation and masking were still required in the United States, between August 2020 and June 2021.We analyzed the data using three-phase coding. We compare our results against the model of the bidirectional and dynamic relationship between social internet use and loneliness. Results: We found that during the COVID-19 pandemic, our participants experienced decreased social interaction and moved toward online interaction. Participant use of social technology supported the stimulation hypothesis - that is, they used it to maintain existing relationships and social connection. The findings also add novel evidence that the stimulation hypothesis endures for older adults during enforced isolation (in this case due to the COVID- 19 pandemic). Discussion: Based on our data, we also propose adding the presence or realism of connection via social technology as a main factor to the model and engaging with construal level theory of social presence to fill in critical variables of this relationship. We further find that digital exclusion acts as a barrier to obtaining benefits from stimulation via social technology and recommend that further research examined digital exclusion in relation to the bidirectional and dynamic model. Finally, we discuss recommendations for improving social technology to benefit middle-aged and older adults.

Indexed as

COVID-19PandemicsAgedHumansInternetInternet UseMiddle AgedTechnologyCOVID-19lonelinessmental healtholder adultssocial technology

Identifiers

PMID37876716
PMCPMC10590895
OpenAlexW4387458531

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.