Predicting Problematic Internet Use Based on Loneliness and Alexithymia in Students.

Detalles Bibliográficos
Publicado en:Health Management & Information Science Vol. 13; no. 1; pp. 60 - 66
Autores principales: Kadanji, Solmaz Abedi, Hooman, Farzaneh, Khabir, Leila
Formato: research tables/charts Journal Article
Publicado: Shiraz University of Medical Sciences Jan2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2026
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        atl: Predicting Problematic Internet Use Based on Loneliness and Alexithymia in Students.
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        au:
          Kadanji, Solmaz Abedi
          Hooman, Farzaneh
          Khabir, Leila
        affil: Department of Psychology, Ars.C., Islamic Azad University, Arsanjan, Iran.
      sug:
        subj:
          Students, High School Psychosocial Factors
          Internet Addiction Risk Factors
          Loneliness
          Affective Symptoms
          Risk Assessment
          Human
          Iran
          Female
          Adolescence
          Young Adult
          Descriptive Research
          Correlational Studies
          Convenience Sample
          Questionnaires
          Self Report
          Scales
          Descriptive Statistics
          Data Analysis Software
          Pearson's Correlation Coefficient
          Multiple Regression
          Power Analysis
          Adolescent: 13-18 years
          Female
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
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    language: English
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