Evidence map›Paper›PMID 42332193›Full record

ArticleDiscover mental health2026

Interplay of academic stress, digital fatigue, and loneliness in predicting university students' mental health in the post-COVID era.

Amjad Islam Amjad, Saira, Saba Firdos, Priyadarshini Muthukrishnan, Mohamad Ahmad Saleem Khasawneh, Thabet Bin Saeed Al-Kahlan

Abstract read
In one paragraph

Article in Discover mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Amjad Islam AmjadDepartment of Education, The University of Lahore, Lahore, Pakistan. a.amjad@faculty.unicaf.org.ORCID http://orcid.org/0000-0002-4250-7526
SairaDepartment of Education, University of Gujrat, Gujrat, Pakistan.ORCID http://orcid.org/0009-0008-1781-148X
Saba FirdosDepartment of Clinical Neurosciences, College of Medicine, King Faisal University, Al Ahsa, Saudi Arabia.ORCID http://orcid.org/0000-0002-7444-606X
Priyadarshini MuthukrishnanFaculty of Education and Liberal Arts, INTI International University, Nilai, Malaysia.ORCID https://orcid.org/0000-0003-1545-0963
Mohamad Ahmad Saleem KhasawnehSpecial Education Department, King Khalid University, 61421, Abha, Saudi Arabia.ORCID https://orcid.org/0000-0002-1390-3765
Thabet Bin Saeed Al-KahlanFaculty of Education, Department of Curricula and Teaching Methods, King Khalid University, 61421, Abha, Saudi Arabia.

Funding

Deanship of Scientific Research, King Khalid University RGP 2/412/46
6 · The paper itself

Abstract

The COVID-19 pandemic created major challenges to students' mental health. Research that university students continue to experience mental health challenges due to the changes in higher education and the increased technology integration in the post-COVID-19 era. The objective of this study was to examine association between academic stress related to technology integration and students' mental health problems (MHPs), with digital fatigue as a mediating variable and loneliness as a moderating variable. The study's research design was a cross-sectional survey. This study was guided by Job-Demands Resources (JD-R) Theory. The data were collected online from 388 university students through the post-COVID-19 University Students' Well-being Scale (PC-USWS). Academic stress was significantly associated with mental health problems (β = .639, SE = .04, 95% CI [.566, .713], t = 17.12, p < .001, R

Indexed as

Academic stressDigital fatigueLonelinessMental healthPost-COVID eraPsychological harm

Identifiers

PMID42332193
PMCPMC13538301

What OpenQuestion holds

Textmetadata
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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.