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Abedi Kadanji, Solmaz, Hooman, Farzaneh, Khabir, Leila. (1404). Predicting Problematic Internet Use Based on Loneliness and Alexithymia in Students. سامانه مدیریت نشریات علمی, 13(1), 60-65. doi: 10.30476/jhmi.2025.108662.1316
Solmaz Abedi Kadanji; Farzaneh Hooman; Leila Khabir. "Predicting Problematic Internet Use Based on Loneliness and Alexithymia in Students". سامانه مدیریت نشریات علمی, 13, 1, 1404, 60-65. doi: 10.30476/jhmi.2025.108662.1316
Abedi Kadanji, Solmaz, Hooman, Farzaneh, Khabir, Leila. (1404). 'Predicting Problematic Internet Use Based on Loneliness and Alexithymia in Students', سامانه مدیریت نشریات علمی, 13(1), pp. 60-65. doi: 10.30476/jhmi.2025.108662.1316
Abedi Kadanji, Solmaz, Hooman, Farzaneh, Khabir, Leila. Predicting Problematic Internet Use Based on Loneliness and Alexithymia in Students. سامانه مدیریت نشریات علمی, 1404; 13(1): 60-65. doi: 10.30476/jhmi.2025.108662.1316

Predicting Problematic Internet Use Based on Loneliness and Alexithymia in Students

Health Management & Information Science
دوره 13، شماره 1، فروردین 2026، صفحه 60-65    اصل مقاله (245.74 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.30476/jhmi.2025.108662.1316
نویسندگان
Solmaz Abedi Kadanji1؛ Farzaneh Hooman* 2؛ Leila Khabir2
1Department of Psychology, Ars.C., Islamic Azad University, Arsanjan, Iran
2Department of Psychology, Shi.C., Islamic Azad University, Shiraz, Iran
چکیده
Introduction: Problematic internet use (PIU) is a complex and increasingly prevalent
phenomenon in contemporary societies, posing a significant challenge, particularly for
adolescents and young adults, and predominantly female upper secondary school students
in Shiraz, Iran. Consequently, the primary objective of the present study was to predict PIU
based on loneliness and alexithymia in female high school students.
Methods: In this descriptive-correlational study, the target population consisted of all
female high school students in Shiraz during the 2023–2024 academic year. For this study, a
sample of 259 students was recruited using convenience sampling. Data were collected using
the Problematic Internet Use Questionnaire, the UCLA Loneliness Scale, and the Toronto
Alexithymia Scale-20. Statistical analysis was performed using the Pearson correlation
coefficient and simultaneous multiple regression.
Results: The results indicated significant positive relationships between loneliness and
PIU (r=0.47, P<0.001) and between alexithymia and PIU (r=0.58, P<0.001). Simultaneous
multiple regression showed that loneliness and alexithymia together explained 39.8% of the
variance in PIU (R²=0.398, adjusted R²=0.394, F=84.83, P<0.001), with alexithymia (β=0.48,
P<0.001) as the stronger predictor than loneliness (β=0.28, P<0.001).
Conclusion: The findings demonstrate that both loneliness and alexithymia are significant
positive predictors of problematic internet use in female upper secondary students in Shiraz,
Iran. Consequently, these results strongly suggest that interventions targeting the reduction of
loneliness and the enhancement of emotional identification and expression skills are crucial
for effectively addressing PIU within this population.

تازه های تحقیق

Solmaz Abedi Kadanji: Google Scholar

Farzaneh Hooman: Google Scholar

کلیدواژه‌ها
Internet addiction disorder؛ Loneliness؛ Alexithymia؛ Students
مراجع

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