Personality traits, social support, and psychological distress as predictors of internet addiction among emerging adults
Main Article Content
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.
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Work published in KMUJ is licensed under a
Creative Commons Attribution 4.0 License
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
References
1. Lozano-Blasco R, Robres AQ, Sánchez AS. Internet addiction in young adults: A meta-analysis and systematic review. Comput Hum Behav 2022, 107201.
2. Shaw M, Black DW. Internet addiction: definition, assessment, epidemiology and clinical management. CNS Drugs 2008;22(5):353-65. https://doi.org/10.2165/00023210-200822050-00001
3. Young KS. Internet addiction: symptoms, evaluation and treatment. In: Vandecreek L, Jackson TL, Sarosta FL. (Eds.). Innovations in clinical practice: source book. Volume 17, Professional Resource Press.1999.
4. Masaeli N, Farhadi H. Prevalence of Internet-based addictive behaviors during COVID-19 pandemic: a systematic review. J Addict Dis 2021;39(4):468-88. https://doi.org/10.1080/10550887.2021.1895962
5. Yan W, Li Y, Sui N. The relationship between recent stressful life events, personality traits, perceived family functioning and internet addiction among college students. Stress Health 2014;30(1):3-11. https://doi.org/10.1002/smi.2490
6. Sherer K. College life on-line: Healthy and unhealthy Internet use. J Coll Stud Dev 1997;38(6):655-65.
7. Widiger TA, Trull TJ, Clarkin JF, Sanderson C, Costa Jr PT. A description of the DSM-III-R and DSM-IV personality disorders with the five-factor model of personality. In: In Costa, Jr. PT, Widiger TA. (Eds.), Personality disorders and the five‐factor model of personality, 1994:.41–56. Washington, DC: American Psychological Association.
8. Chang YH, Lee YT, Hsieh S. Internet interpersonal connection mediates the association between personality and internet addiction. Int J Environ Res Public Health. 2019;16(19):3537. https://doi.org/10.3390/ijerph16193537
9. Nwufo IJ, Ike OO. Personality traits and internet addiction among adolescent students: The moderating role of family functioning. Int J Environ Res Public Health. 2024;21(5):520. https://10.3390/ijerph21050520.
10. Berdibayeva S, Garber A, Ivanov D, Massalimova A, Kukubayeva A, Berdibayev S. Psychological prevention of older adolescents’ interpersonal relationships, who are prone to internet addiction. Procedia Soc Behav Sci 2016;217:984-9. https://doi.org/10.1016/j.sbspro.2016.02.081
11. Karacic S, Oreskovic S. Internet addiction and mental health status of adolescents in Croatia and Germany. Psychiatr Danub 2017;29(3):313-21. https://doi.org/10.24869/psyd.2017.313
12. Rashid F, Zeeshan M, Alsaidi N. Internet addiction and its association with personality traits and depression in medical undergraduates, A cross-sectional study from Pakistan: Pak J Health Sci 2024;5(12):293-9. https://doi.org/10.54393/pjhs.v5i12.2230
13. Sarfraz A, Siddiqui S, Galante J, Sikander S. Feasibility and acceptability of an online mindfulness-based intervention for stress reduction and psychological wellbeing of university students in Pakistan: a pilot randomized controlled trial. Int J Environ Res Public Health 2023;20(8):5512. https://doi.org/10.3390/ijerph20085512.
14. Zafar B, Suneel I. Relationship between personality traits, attachment styles and internet addiction among Pakistani university students. Int J Social Sci Edu Studies 2018;5(1):96-109. https://doi.org/10.23918/ijsses.v5i1p96
15. Gazelle H, Ladd GW. Anxious solitude and peer exclusion: a diathesis-stress model of internalizing trajectories in childhood. Child Dev 2003;74(1):257-78. https://doi.org/10.1111/1467-8624.00534
16. Blumler JG, Katz E. (1974). The uses of mass communications: Current perspectives on gratifications research. Beverly Hills, CA: Sage.
17. Serdar CC, Cihan M, Yücel D, Serdar MA. Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies. Biochem Med 2021;31(1):27-53. https://doi.org/10.11613/BM.2021.010502
18. Young KS. Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav 1998;1(3):237-44. https://psycnet.apa.org/doi/10.1089/cpb.1998.1.237
19. Faraci P, Craparo G, Messina R, Severino S. Internet Addiction Test (IAT): which is the best factorial solution? J Med Internet Res 2013;15(10):e225. https://doi.org/10.2196/jmir.2935
20. John OP, Srivastava S. The big five trait taxonomy: history, measurement, and theoretical perspectives. In Pervin LA, John OP (Eds.), Handbook of personality: theory and research. Guilford Press 1999;2(1999):102-38.
21. Merz EL, Roesch SC, Malcarne VL, Penedo FJ, Llabre MM, Weitzman OB, et al. Validation of interpersonal support evaluation list-12 (ISEL-12) scores among English-and Spanish-speaking Hispanics/Latinos from the HCHS/SOL Sociocultural Ancillary Study. Psychol Assess 2014;26(2):384-94. https://doi.org/10.1037/a0035248
22. Mewton L, Kessler RC, Slade T, Hobbs MJ, Brownhill L, Birrell L, et al. The psychometric properties of the Kessler Psychological Distress Scale (K6) in a general population sample of adolescents. Psychol Assess 2016;28(10):1232-42. https://doi.org/10.1037/pas0000239
23. Moghanizadeh Z, Farnam A, Talebi Z, Asvadi M. The mediating relationship between internet addiction with happiness and personality traits in students. J Fundament Ment Health 2018;20(3):236-47.
24. Kircaburun K, Griffiths MD. Instagram addiction and the Big Five of personality: the mediating role of self-liking. J Behav Addic 2018;7(1):158-70. https://doi.org/10.1556/2006.7.2018.15
25. Hamid NA, Ishak MS, Yazam SS. Facebook, youtube and instagram: exploring their effects on undergraduate students’ personality traits. J Social Media Soc 2015;4(2):
26. Pornsakulvanich V. Personality, attitudes, social influences, and social networking site usage predicting online social support. Comput Hum Behav 2017;76:255-62. https://doi.org/10.1016/j.chb.2017.07.021
27. Shaw LH, Gant LM. In defense of the Internet: the relationship between Internet communication and depression, loneliness, self-esteem, and perceived social support. Cyberpsychol Behav 2002;5(2):157-71. https://doi.org/10.1089/109493102753770552
28. Kuss DJ, Griffiths MD. Internet gaming addiction: a systematic review of empirical research. Int J Ment Health Addiction 2012;10(2):278-96. https://doi.org/10.1007/s11469-011-9318-5
29. Nabi RL, Prestin A, So J. Facebook friends with (health) benefits? Exploring social network site use and perceptions of social support, stress, and well-being. Cyberpsychology Behav Soc Netw 2013;16(10):721-7. https://doi.org/10.1089/cyber.2012.0521