Evidence map›Paper›PMID 41111677›Full record

ArticleCureus2025

The Relationship Between Internet Addiction and Sleep Disturbance Among Health Sciences Students From Two Universities in Riyadh, Saudi Arabia: A Cross-Sectional Study.

Meshal M Zuraie, Meshal R Alotaibi, Alaa M Alzamil, Leen F AlSadun, Daniah O Alsayegh

Abstract read
In one paragraph

Article in Cureus, 2025. 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

5 authors.

Meshal M ZuraiePsychiatry, King Abdulaziz Medical City, Riyadh, SAU.
Meshal R AlotaibiPsychiatry, King Abdulaziz Medical City, Riyadh, SAU.
Alaa M AlzamilPsychiatry, Ministry of Health Holdings, Riyadh, SAU.
Leen F AlSadunCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Daniah O AlsayeghPsychosomatic and Psychiatry, King Abdulaziz Medical City, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimInternet addiction (IA) is a compulsive-impulsive spectrum disorder with detrimental effects on social interactions, academic performance, energy levels, and sleep quality. This study aimed to examine the relationship between IA and sleep disturbances among health sciences students at King Saud University and King Saud bin Abdulaziz University for Health Sciences in Riyadh, Saudi Arabia.

methodsA cross-sectional study was conducted in Riyadh, Saudi Arabia, from April 2023 to October 2023, using a self-administered questionnaire. The survey included demographic questions, the Young's Internet Addiction Test (YIAT), and the Pittsburgh Sleep Quality Index (PSQI). The target sample size was 400 participants. Data were analyzed using chi-square and Fisher's exact tests, as well as the Mann-Whitney U test. A p<0.05 was considered statistically significant.

resultsThe study found that 74.2% of normal internet users were poor sleepers compared to 88.5% of moderate-to-severe internet users. A chi-square test revealed a highly significant association between IA and sleep quality (p<0.05).

conclusionThe findings of this study highlight the importance of promoting healthy internet use habits and indicate the need for further research into other potential causes of sleep disturbances.

Indexed as

excessive smartphone usemedical school studentsnon-substance dependencepittsburgh sleep quality index (psqi)young’s internet addiction test

Identifiers

PMID41111677
PMCPMC12532276

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.