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March 5, 2026ANNALS OF ABBASI SHAHEED HOSPITAL AND KARACHI MEDICAL & DENTAL COLLEGE1 citationsOpen Access

Assessment of Internet Addiction among University Students: A Cross-Sectional Analysis of Socio-Demographic and Behavioral Factors

SZSehrish ZahraSBSamira Faiz BariFQFarhan Qureshi

Key Points

  • This research aims to evaluate the prevalence of internet addiction and its associations with socio-demographic and behavioral factors among university students in Karachi.
  • Cross-sectional study design
  • Involved 553 undergraduate and postgraduate students
  • Data collected via a self-administered questionnaire
  • Used Young's Internet Addiction Test (IAT) for assessment
  • Analyzed data using chi-square test and binary logistic regression
  • 20.3% prevalence of internet addiction among students
  • Significant association with lower monthly household income (p=0.001)
  • Regular smokers were 1.8 times more likely to experience internet addiction (AOR: 1.843)
  • Students with an active lifestyle had a lower likelihood of addiction (AOR: 0.498, p=0.003)
  • Highest prevalence observed in households earning less than PKR 50,000/month (40%)

Abstract

Objective: This study aimed to assess the prevalence of Internet addiction and examine its association with socio-demographic and behavioral factors among university students in Karachi, Pakistan. Methodology: A cross-sectional study was conducted from August 2023 to January 2024 involving 553 full-time undergraduate and postgraduate students from various universities in Karachi. Data were collected using a self-administered questionnaire comprising demographic details, lifestyle characteristics, and Young's Internet Addiction Test (IAT). Internet addiction was defined as an IAT score ?50. Data were analyzed using SPSS version 21.0, employing chi-square test and binary logistic regression. Results: The prevalence of Internet addiction was 20.3%. IA was significantly associated with lower monthly household income (p=0.001), smoking status (p=0.045), and a sedentary lifestyle (p=0.011). Students from households earning less than PKR 50,000/month had the highest prevalence (40%). Regular smokers were 1.8 times more likely to experience IA (AOR: 1.843, 95% CI: 1.028–3.304), whereas students with an active lifestyle were significantly less likely to be addicted (AOR: 0.498, p=0.003). Conclusion: Internet addiction is notably prevalent among university students in Karachi and is significantly influenced by socioeconomic status, smoking habits, and physical activity. Early identification and targeted interventions promoting balanced internet use are essential to safeguard the mental health of young adults.

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Cite This Study

Zahra et al. (2026) studied this question.

synapsesocial.com/papers/69a91d8dd6127c7a504c0772https://doi.org/10.58397/27d5g765
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