Risk of Internet Addiction Among Undergraduate Medical, Nursing, and Lab Technology Students of a Health Institution from Delhi, India
Digit Med, 1:72-8, 2015
7 Pages Posted: 15 Apr 2016
Date Written: April 8, 2016
Objective: To assess prevalence, usage pattern, and risk of internet addiction (IA) among undergraduate students of a health institution from Delhi.
Materials and Methods: A cross‑sectional descriptive study was carried out during March – April 2015 using 20‑item Young’s IA test, a Likert scale‑based interview schedule with scores ranging from 0 to 100 points with a higher score indicating greater internet dependency. Background variables included sociodemographic details, general health practices, self‑assessment of mental health status, inter‑personal relation (family/friends), personality type, and global satisfaction in life. The scoring pattern was analyzed in the form of low risk (score ≤49 points) and high risk (score ≥50 points) for IA. The proportion, Chi‑square test, adjusted, and un‑adjusted odds ratio (OR) (95% confidence interval) were computed using regression analysis.
Results: Out of 202, 40.6% were MBBS students, followed by 35.6% from nursing, and 23.8% from medical lab technology stream; 68.3% were females; the mean age was 20.3 ± 1.4 years; and 61.9% were residing in hostels. It was observed that 44 (21.8%) and 22 (10.9%) students had ever consumed alcohol and smoked, respectively, while only 42 (20.8%) were engaged in physical activity (≥30 min) during most (≥5) of the days of the week. Based on self‑assessment, 33 (16.3%) were globally dissatisfied and 88 (43.6%) reported themselves to be introverts. The majority of students were using internet for educational purpose (98%), entertainment (95.0%), accessing social sites (92.5%), checking E‑mails (76.2%), and pornographic websites (45%). With regard to IA, 171 (84.7%) were at low risk (score ≤49) and 31 (15.4%) were at high risk (score ≥50). Male students (P = 0.001), ever consumed alcohol (P = 0.003), ever smoker (P = 0.02), and regular physical activity (P = 0.04) were found to be significantly associated with a high risk of IA based on Chi‑square test, but none were found significant at higher levels of analyses (adjusted OR). No significant association of IA was found with mental status, global satisfaction, inter‑personal relationship, or personality type.
Conclusion: A large majority (84.7%) of students in our study are found to be at low risk of internet addiction.
Keywords: education, health practices, hours, leisure, media, mental health, personality, physical activity, satisfaction, screen viewing time, social, web, young’s internet addiction test
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