Evidence map›Paper›PMID 41801543›Full record

ArticleDiscover mental health2026

Internet addiction and internet gaming disorder levels as predictors of alexithymia traits among university students.

Wasimah Amanullah, Hawa Jama, Suresh Kumar Srinivasamurthy, Laxminarayana Kurady Bairy, Talat Matar Tadross

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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. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wasimah AmanullahRAK College of Medical Sciences, RAK Medical and Health Sciences University, RAK, UAE.
Hawa JamaRAK College of Medical Sciences, RAK Medical and Health Sciences University, RAK, UAE.
Suresh Kumar SrinivasamurthyDepartment of Pharmacology, RAK College of Medicine, RAK Medical and Health Sciences University, Ras Al Khaimah, UAE. suresh@rakmhsu.ac.ae.
Laxminarayana Kurady BairyDepartment of Pharmacology, RAK College of Medicine, RAK Medical and Health Sciences University, Ras Al Khaimah, UAE.
Talat Matar TadrossDepartment of Psychiatry, RAK College of Medicine, RAK Medical and Health Sciences University, Ras Al Khaimah, UAE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, there have been increasing concerns over internet addiction (IA) and internet gaming disorder (IGD) among young adults. Concurrently, alexithymia, a personality construct characterized by difficulty in recognizing, understanding, and expressing emotions, has been associated with a range of addictive disorders.

objectivesThe study aims to identify the likely occurrence of alexithymia, IA, and IGD, and explore correlations between them among students in a medical and health sciences university in the United Arab Emirates.

methodsIn this cross-sectional study; the 20-item Toronto alexithymia scale (TAS-20), the 9-item internet disorder scale short form (IDS9-SF), and the 9-item internet gaming disorder scale short form (IGDS9-SF) were used to assess 403 students aged 16–25 upon obtaining informed consent.

resultsThe possible occurrences of alexithymia, IA, and IGD were 29.528%, 5.21%, and 3.225% respectively, and 0.744% of the participants were likely to have all three simultaneously. We found a mutually positive correlation between the scores obtained in the three scales. Subsequent multiple linear regression analysis revealed that IA and IGD were positive predictors of alexithymia severity.

conclusionWe identified a significant occurrence of alexithymia, IA, and IGD in the sample, with IA and IGD being strong predictors of alexithymia. Identifying the occurrence and correlation of such conditions may aid in enabling early interventions, and provide a groundwork for future studies investigating preventive and novel therapeutic approaches.

Indexed as

Addictive behaviourAlexithymiaCross-sectional studyInternet addictionInternet gaming disorderMental health

Identifiers

PMID41801543
PMCPMC13087062

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