ArticleHeliyon2023
Associations of smartphone addiction, chronotype, sleep quality, and risk of eating disorders among university students: A cross-sectional study from Sharjah/United Arab Emirates.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Chronotype and disordered eating indicators: A systematic review and meta-analysis.Clinical psychology review · 2026Pooled it
- The Association Between Disordered Eating and Sleep in Non-Clinical Populations-A Systematic Review and Meta-Analysis.Journal of sleep research · 2026Pooled it
- Associations of Problematic Smartphone Use and Smartphone Screen Time With Eating Disorder Psychopathology in Non-Clinical Samples: A Systematic Review.JMIR mental health · 2026Pooled it
- Exploring the link between internet addiction and sleep quality and the implications of this relationship: a systematic review.Trends in psychiatry and psychotherapy · 2025Pooled it
- Smartphone and Internet Addictive Behaviors Are Differentially Associated with Mediterranean Diet Adherence in Young Adults: The EVA-Adic Study.Nutrients · 2026Article
- The relationship between problematic digital media use and food addiction, eating behaviours, and obesity: a cross-sectional study on Turkish university students.BMC psychology · 2026Article
- Article
- Eating Disorders in the Workplace.Nutrients · 2025Article
- Knowledge, attitude, and practice towards sleep disorders among high school students: a cross-sectional study.BMC pediatrics · 2025Article
- Smartphone addiction and sleep quality among nursing students in Meknes, Morocco: A cross-sectional study.Belitung nursing journal · 2025Article
- The impact of physical exercise on mobile phone addiction among college students: a study based on Chinese universities.Frontiers in psychology · 2025Article
- Smartphone dependence predicts poorer mental health outcomes, eating behaviors, activity levels, and body image: a cluster analysis of Brazilian university students.Trends in psychiatry and psychotherapy · 2025Observational
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: As smartphone addiction (SA) becomes more prevalent among young adults, there is growing concern over its impact on dietary and lifestyle habits, such as disturbed sleep and eating patterns. However, limited literature exists particularly on the association between SA and eating disorders (ED). Thus, this study aims to study the prevalence of SA risk, poor sleeping quality, evening chronotype, and ED risk among university students in the UAE. It also aims to assess the associations between them, emphasizing the one between ED and SA risks. Methods: In this cross-sectional study, a self-administered online questionnaire was disseminated via convenience sampling. Pittsburgh Sleep Quality Index, Morningness-Eveningness Questionnaire, Eating Attitude Test-26 items, and Smartphone Addiction Scale-Short Version were used to measure sleep quality, chronotype, ED risk, and SA risk, respectively. Descriptive and analytical statistics were applied, and Results: Out of 552 students (mean age: 21.2 ± 5.1 years), 71% had poor sleep quality, 33.9% reported evening chronotype, 37.9% had ED risk, and 56.2% had SA risk. SA risk was significantly associated with both poor sleep quality (OR = 2.93; 95% CI: 2.01-4.29; Conclusion: High prevalence of SA, ED risk, and poor sleep quality was reported among university students in the UAE. Associations between poor sleep quality, evening chronotype, SA risk, and ED risk were further confirmed, with sleep quality predicting ED risk.
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Registered trials
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.