Evidence map›Paper›PMID 35664681›Full record

ArticleJournal of social and personal relationships2022

Divergent effects of social media use on meaning in life via loneliness and existential isolation during the coronavirus pandemic.

Peter J Helm, Tyler Jimenez, Madhwa S Galgali, Megan E Edwards, Kenneth E Vail, Jamie Arndt

Open access · greenAbstract read
In one paragraph

Article in Journal of social and personal relationships, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 32 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Peter J HelmUniversity of Missouri, USA.ORCID https://orcid.org/0000-0002-3316-4699
Tyler JimenezUniversity of Washington, USA.
Madhwa S GalgaliUniversity of Missouri, USA.ORCID https://orcid.org/0000-0003-0323-1202
Megan E EdwardsUniversity of Missouri, USA.
Kenneth E VailCleveland State University, USA.
Jamie ArndtUniversity of Missouri, USA.
University of Missouri · USCleveland State University · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stay-at-home orders issued to combat the growing number of infections during the coronavirus pandemic in 2020 had many psychological consequences for people including elevated stress, anxiety, and difficulty maintaining meaning in their lives. The present studies utilized cross-sectional designs and were conducted to better understand how social media usage related to people's subjective isolation (i.e., social loneliness, emotional loneliness, and existential isolation) and meaning in life (MIL) during the early months of the pandemic within the United States. Study 1 found that general social media use indirectly predicted higher MIL via lower existential isolation and social isolation. Study 2 replicated these patterns and found that social media use also predicted lower MIL via higher emotional loneliness, and that the aforementioned effects occurred with active, but not passive, social media use. Findings suggest social media use may be a viable means to validate one's experiences (i.e., reduce existential isolation) during the pandemic but may also lead to intensified feelings concerning missing others (i.e., increased emotional loneliness). This research also helps to identify potential divergent effects of social media on MIL and helps to clarify the relationships among varying types of subjective isolation.

Indexed as

Coronavirusexistential isolationlonelinessmeaningsocial media

Identifiers

PMID35664681
PMCPMC9096014
OpenAlexW4206439331

What OpenQuestion holds

Textmetadata
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.