A study about frequency, distribution and determinants of internet addiction in medical students of Khyber Pakhtunkhwa, Pakistan

Usman Ahmad; Amna Gilani; Zeeshan Khan; Siddiq Akbar; Muhammad Waqas; Aisha Lareb Memon; Naeem Amin; Hanifullah Hanfi; Yaseen Khan; Kainat Khan; Sadaf Said; Aroosa Akhtar

doi:10.53730/ijhs.v8nS1.14872

Authors

Usman Ahmad Medical Student, MBBS, Gomal Medical College, D I Khan, Pakistan
Amna Gilani Post Graduate Resident, Paediatrics, Ayub Teaching Hospital, Pakistan
Zeeshan Khan Resident physician, General Medicine, Siadu group of teaching hospitals Swat, Pakistan
Siddiq Akbar Resident Urologist, Urology, IKD Peshawar, Pakistan
Muhammad Waqas Medical Student, MBBS, Gomal Medical College, D I Khan, Pakistan
Aisha Lareb Memon House officer, ENT, Shaheed Muhtarma Benazir Bhutto Medical University, Larkana SMBBMU, Pakistan
Naeem Amin Medical Student, MBBS, Gomal Medical College, D.I Khan, Pakistan
Hanifullah Hanfi
hanifhanfi888999@gmail.com
Medical student, Mbbs, Khyber Medical University Peshawar, Pakistan
Yaseen Khan Medical Officer, Khalifa Gul Nawaz Teaching Hospital, Bannu, Pakistan
Kainat Khan Resident physician, Internal Medicine, Lady Reading Hospital Peshawar, Pakistan
Sadaf Said Resident Surgeon, General Surgery, Lady Reading Hospital Peshawar, Pakistan
Aroosa Akhtar House Officer, Physiotherapy, Kashif Welfare Rehabilitation Center Peshawar, Pakistan

Keywords:

Internet addiction disorder, medical students, technology addiction, internet usage behaviors

Abstract

Abstract: Background: Due to ease of access and affordability, globally 4.95 billion people are using the internet for multiple purposes. However, this use has resulted in the emergence of some novel problems. Objective: Our objectives were to find the frequency and distribution of internet addiction by gender and type (public/private sector medical students) in medical student of KPK. Methodology: This was an analytical cross-sectional study. A sample size of 365 was calculated using the Raosoft SPSS calculator. The sampling procedure was conducted through the non-probability consecutive technique. The data collection was carried out by using Young IAT scoring criteria. Demographic variables were sex and the type of medical student of KPK. The Chi-square test was used to find an association between variables. Result: Out of total 365 participants, 205(56%) were male and 160(43.8%) were female. According to the Young’s IAT form, 172(47.1%) were normal users 173(47.4%)were problematic and 20 (5.8%) were internet addicts. There was no statistically significant association between internet addiction with sex and the type of students with a p-value of 0.589 and 0.654. Conclusion: In our study, there was no significant association between internet addiction with gender and the type of medical student.

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