Evidence map›Paper›PMID 41080245›Full record

ArticleCureus2025

The Digital Dilemma: Patterns of Screen Time, Sleep Quality, and Mental Health Among Saudi University Students.

Abdulaziz Alkaabba, Ghaiath Hussein, Mohammed Albader, Osama F Assiri, Basel M Alosaimi, Muath N Al Musaad, Mohammed A Khamsah, Bandar M Alzahrani, Abdullah H Al Sharani, Nawaf A Asiri and 3 more

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

13 authors.

Abdulaziz AlkaabbaFamily Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU.
Ghaiath HusseinDiscipline of Medical Education, The University of Dublin, Dublin, IRL.
Mohammed AlbaderFamily Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU.
Osama F AssiriFamily Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU.
Basel M AlosaimiMedicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU.
Muath N Al MusaadFamily Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU.
Mohammed A KhamsahFamily Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU.
Bandar M AlzahraniFamily Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU.
Abdullah H Al SharaniFamily Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU.
Nawaf A AsiriFamily Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU.
Abdulaziz F AlotaibiMedicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU.
Abdulrahman AlshahwanFamily Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU.
Mosfer A AlwalahPhysical Medicine and Rehabilitation, Taif University, Taif, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The digital transformation of higher education in Saudi Arabia has coincided with rising mental health concerns among university students. This study examines the complex relationships between screen time patterns, sleep quality, and mental health outcomes among Saudi health sciences students. Methods We conducted a cross-sectional study of 102 university students from Imam Muhammad Ibn Saud Islamic University (IMSIU) using a convenience sampling approach. Participants completed an online questionnaire integrating validated instruments: the Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and Perceived Stress Scale-10 (PSS-10), alongside comprehensive assessments of screen time behaviors and sleep characteristics. Results Participants averaged 5.2 hours of daily smartphone use, with social media (n = 92, 90%) and academic activities (n = 87, 85%) being primary uses. Clinically significant anxiety symptoms (GAD-7 ≥10) affected 41 participants (40.2%), while moderate to severe depressive symptoms were present in 31 participants (30.4%). Three to four hours of daily social media use was significantly associated with anxiety symptoms (χ² = 6.89, df = 2, N = 102, p = 0.001). Pre-bedtime screen exposure exceeding one hour demonstrated strong correlations with relaxation difficulties (χ² = 12.45, df = 2, N = 102, p < 0.001) and showed associations with depressive symptoms (OR = 2.1-2.3). Social media use was significantly linked to sleep initiation problems (χ² = 6.54, df = 2, N = 102, p = 0.04). Conclusions The findings indicate concerning links between excessive screen time, especially during the evening, and high levels of mental health symptoms among university students. It is important to interpret these results with caution due to the study's limitations. These associations highlight the need for targeted digital wellness interventions, as well as the development of institutional policies and comprehensive support programs within higher education in Saudi Arabia.

Indexed as

anxietydepressiondigital wellnesshealth sciences educationmental healthsaudi arabiascreen timesleep qualitysocial media

Identifiers

PMID41080245
PMCPMC12510793

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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.