Evidence map›Paper›PMID 42354279›Full record

ArticleInternational journal of environmental research and public health2026

The Mediating Role of Social Support on the Relationship Between Alexithymia and Internet Addiction Among Jordanian University Students: A Cross-Sectional Study.

Shaher H Hamaideh, Abdallah Abu Khait, Sawsan Abuhammad, Hanan Al-Modallal, Ayman Hamdan-Mansour, Rami Masa'deh, Mohammed ALBashtawy

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Article in International journal of environmental research and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shaher H HamaidehCommunity and Mental Health Nursing Department, Faculty of Nursing, The Hashemite University, Zarqa 13133, Jordan.
Abdallah Abu KhaitCommunity and Mental Health Nursing Department, Faculty of Nursing, The Hashemite University, Zarqa 13133, Jordan.ORCID 0000-0003-2031-3496
Sawsan AbuhammadDepartment of Nursing, Collage of Heath Sciences, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates.
Hanan Al-ModallalCommunity and Mental Health Nursing Department, Faculty of Nursing, The Hashemite University, Zarqa 13133, Jordan.
Ayman Hamdan-MansourCommunity Health Department, School of Nursing, The University of Jordan, Amman 11942, Jordan.ORCID 0000-0002-9855-951X
Rami Masa'dehNursing Department, Faculty of Nursing, Applied Science Private University, Amman 11973, Jordan.ORCID 0000-0003-2762-7375
Mohammed ALBashtawyPrincess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq 25113, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlexithymia and Internet addiction are emerging concerns among university students, and perceived social support may help explain how difficulties in identifying and expressing emotions relate to problematic Internet use. This study examined the mediating role of perceived social support in the relationship between alexithymia and Internet addiction among Jordanian university students.

methodsA descriptive cross-sectional online survey was conducted among 300 university students in Jordan during the 2022/2023 academic year using Google Forms distributed through Facebook and Microsoft Teams. Participants completed the Toronto Alexithymia Scale (TAS-20), Internet Addiction Test (IAT), Multidimensional Scale of Perceived Social Support (MSPSS), and demographic questions. Data were analyzed using descriptive statistics, Pearson correlations, multiple regression, and Hayes PROCESS macro Model 4 with 5000 bootstrap samples.

resultsThe overall mean scores for alexithymia, Internet addiction, and social support were 62.57, 46.05, and 55.13, respectively. Alexithymia was positively correlated with Internet addiction and negatively correlated with social support. Social support partially mediated the relationship between alexithymia and Internet addiction, indicating that higher alexithymia was associated with lower perceived social support, which in turn was associated with higher Internet addiction.

conclusionsThe findings support the need for university-based screening and prevention programs that address emotional awareness, healthy Internet use, and social support. Theoretically, the results suggest that social support is a meaningful psychosocial pathway linking alexithymia with problematic Internet use among university students.

Indexed as

Affective SymptomsBehavior, AddictiveInternet Addiction DisorderSocial SupportStudentsAdolescentAdultCross-Sectional StudiesFemaleHumansInternetJordanMaleSurveys and QuestionnairesUniversitiesYoung Adultalexithymiainternet addictionJordansocial supportuniversity students

Identifiers

PMID42354279
PMCPMC13300143

What OpenQuestion holds

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LicenceCC BY
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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.