Evidence map›Paper›PMID 42651623›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Sleep Characteristics and Mental Health Among Kuwait University Students: Sensitivity Analyses for Item Overlap.

Fatima Al-Ghadban, Ahmad Salman

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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

2 authors.

Fatima Al-GhadbanDepartment of Public Health Practice, College of Public Health, Health Sciences Center, Kuwait University, Safat 13110, Kuwait.ORCID 0000-0002-1959-3817
Ahmad SalmanDepartment of Public Health Practice, College of Public Health, Health Sciences Center, Kuwait University, Safat 13110, Kuwait.ORCID 0000-0003-2204-3565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesSleep is a potentially modifiable correlate of student mental health, but associations may be inflated by content overlap between sleep and mental health measures. We examined four self-reported sleep characteristics in relation to depressive symptoms and well-being, with sensitivity analyses reducing item overlap. MATERIALS AND

methodsIn this cross-sectional study, questionnaire data were collected from 389 Kuwait University students recruited by convenience from students who were concurrently participating in a campus-based physical-assessment study. Depressive symptoms used a nine-item PHQ-9-based measure (items 3, 9 modified); well-being used five WHO-5 items with modified frequency anchors. Associations used multivariable linear regression with sequential covariate adjustment.

resultsFor PHQ-9-based scores, independent associations were found for better sleep quality (B = -1.22, 95% CI -1.84 to -0.60; β = -0.20), more frequent disturbance (1.11, 0.49 to 1.73; β = 0.18), longer sleep duration (-0.48, -0.74 to -0.21; β = -0.17), and longer latency (0.54, 0.08 to 0.99; β = 0.11). Quality (4.01, 1.72 to 6.30; β = 0.19) and duration (1.35, 0.37 to 2.33; β = 0.14) were associated with well-being. No statistically significant sleep-by-sex interactions were detected; latency was not robust to item-3 removal.

conclusionsThese findings support considering sleep health within university mental health initiatives; longitudinal studies are needed to establish directionality and intervention effects.

Indexed as

cross-sectional studydepressive symptomsKuwaitPHQ-9psychological well-beingsleep disturbancesleep durationsleep qualityuniversity studentsWHO-5

Identifiers

PMID42651623
PMCPMC13509799

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.