Evidence map›Paper›PMID 35936989›Full record

ArticleComputers in human behavior2022

International students' psychosocial well-being and social media use at the onset of the COVID-19 pandemic: A latent profile analysis.

Y Anthony Chen, Tingting Fan, Catalina L Toma, Sebastian Scherr

Open access · greenAbstract read
In one paragraph

Article in Computers in human behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.8field-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

9 citing papers in PubMed, 35 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

4 authors at 2 institutions in 1 country.

Y Anthony ChenDepartment of Communication Arts, University of Wisconsin-Madison, United States.
Tingting FanDepartment of Educational Psychology, University of Wisconsin-Madison, United States.
Catalina L TomaDepartment of Communication Arts, University of Wisconsin-Madison, United States.
Sebastian ScherrDepartment of Communication, Texas A&M University, United States.
University of Wisconsin–Madison · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the link between the psychosocial well-being and social media use of international students in the US at the onset of the COVID-19 pandemic, when social isolation was mandated. Unlike prior research, which has typically focused on a single aspect of psychosocial well-being, we conceptualized international students' well-being as a multidimensional construct including internalizing symptoms (i.e., depression, anxiety, loneliness) as well as markers of intercultural difficulties. We then investigated social media use as a function of international students' idiosyncratic well-being vulnerabilities. A latent profile analysis revealed four groups with distinctive psychosocial profiles: well-adjusted students, interculturally adjusted students with internalizing symptoms, students with low internalizing symptoms but high intercultural difficulties, and maladjusted students with high internalizing symptoms and high intercultural difficulties. Supporting the social compensation perspective, maladjusted international students reported the highest engagement with social media compared to the other groups. These findings shed light on the unique and heterogenous experiences of international students at the onset of the pandemic. They also add nuance to the social compensation hypothesis by delineating person-specific associations between psychosocial well-being and social media use.

Indexed as

COVID-19 pandemicIntercultural difficultiesInternalizing symptomsInternational studentsLatent profile analysisPsychosocial well-beingSocial compensationSocial media

Identifiers

PMID35936989
PMCPMC9338770
OpenAlexW4288844077

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.