Personality traits, social support, and psychological distress as predictors of internet addiction among emerging adults

Objectives: To examine the relationship between internet addiction (IA), personality traits, interpersonal support, and psychological distress among male and female adolescents and young adults in Pakistan; and to assess whether IA mediates the relationship between interpersonal support and psychological distress. Methods: This cross-sectional survey was conducted among 300 university students (150 males, 150 females), aged 15–30 years, from four Islamabad-based institutions. Standardized tools were used: Internet Addiction Test (IAT), Big Five Inventory (BFI-44), Interpersonal Support Evaluation List-12 (ISEL-12), and a 10-item Psychological Distress Scale. Data were analyzed using SPSS, employing descriptive statistics, Pearson correlations, hierarchical regressions, and mediation analysis. Results: IA showed significant negative correlations with agreeableness, conscientiousness, extraversion, and openness to change, and a significant positive correlation with psychological distress. Neuroticism was positively associated with psychological distress (r=.45, p <.01) but did not correlate significantly with IA. Hierarchical regression analysis identified agreeableness (β = –0.17, p=.005) as a negative predictor and psychological distress (β=0.19, p=.005) as a positive predictor of IA. Mediation analysis showed IA partially mediated the relationship between interpersonal support and psychological distress (β=–0.04; 95% CI [–0.08, –0.006]). Gender comparisons revealed that males reported significantly higher IA scores (p=.001), while females scored higher on neuroticism and openness to change. Effect sizes indicate moderate gender differences in these domains. Conclusion: The findings highlight the interplay between personality traits, social support, and psychological well-being in predicting IA. Interventions aimed at enhancing interpersonal support and addressing psychological distress may mitigate IA risk, particularly in male university students.

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Publication Details

Journal
Khyber Medical University Journal
Published
2025-06-30
DOI
https://doi.org/10.35845/kmuj.2025.22748
Primary Topic
Impact of Technology on Adolescents
Type
article
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article

Personality traits, social support, and psychological distress as predictors of internet addiction among emerging adults

Khyber Medical University Journal
Impact of Technology on Adolescents
article

Personality traits, social support, and psychological distress as predictors of internet addiction among emerging adults

article en

Abstract

Objectives: To examine the relationship between internet addiction (IA), personality traits, interpersonal support, and psychological distress among male and female adolescents and young adults in Pakistan; and to assess whether IA mediates the relationship between interpersonal support and psychological distress. Methods: This cross-sectional survey was conducted among 300 university students (150 males, 150 females), aged 15–30 years, from four Islamabad-based institutions. Standardized tools were used: Internet Addiction Test (IAT), Big Five Inventory (BFI-44), Interpersonal Support Evaluation List-12 (ISEL-12), and a 10-item Psychological Distress Scale. Data were analyzed using SPSS, employing descriptive statistics, Pearson correlations, hierarchical regressions, and mediation analysis. Results: IA showed significant negative correlations with agreeableness, conscientiousness, extraversion, and openness to change, and a significant positive correlation with psychological distress. Neuroticism was positively associated with psychological distress (r=.45, p <.01) but did not correlate significantly with IA. Hierarchical regression analysis identified agreeableness (β = –0.17, p=.005) as a negative predictor and psychological distress (β=0.19, p=.005) as a positive predictor of IA. Mediation analysis showed IA partially mediated the relationship between interpersonal support and psychological distress (β=–0.04; 95% CI [–0.08, –0.006]). Gender comparisons revealed that males reported significantly higher IA scores (p=.001), while females scored higher on neuroticism and openness to change. Effect sizes indicate moderate gender differences in these domains. Conclusion: The findings highlight the interplay between personality traits, social support, and psychological well-being in predicting IA. Interventions aimed at enhancing interpersonal support and addressing psychological distress may mitigate IA risk, particularly in male university students.

Khyber Medical University Journal
International Islamic University, Islamabad (PK)
Openalex Percentile: Top 79%
Impact of Technology on Adolescents
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