Proportion and Risk Factors of Internet Addiction among Medical Students in A Medical College in A Non-Metropolitan City in West Bengal

Abstract Introduction: Internet addiction (IA) is an emerging public health problem worldwide, especially among adolescents and young adults. Medical students, due to high academic pressure and easy access to digital platforms, are particularly vulnerable. This study aimed to determine the prevalence of internet addiction and factors associated with moderate to severe internet addiction among undergraduate medical students in a government medical college of West Bengal. Materials and Methods: A descriptive cross-sectional study was conducted June to August 2024 among 63 second-year MBBS students at Jalpaiguri Government Medical College. Data were collected using a pretested questionnaire and the Young’s Internet Addiction Test (IAT). Sociodemographic variables and internet use patterns were assessed. Univariate logistic regression was used to identify predictors of moderate to severe internet addiction. Results: The mean age of participants was 21.9 (±1.5) years; 69.8% were male. Overall, 41.3% showed some level of internet addiction—23.8% mild, 14.3% moderate, and 3.2% severe. On univariate analysis, using more than one gadget for internet access (OR=3.7, 95% CI:1.0–13.9), internet use >6 hours/day (OR=13.2, 95% CI:1.2–140.7), and father’s postgraduate education (OR=6.6, 95% CI:1.5–28.5) were significant predictors. Initiating internet use at 16–20 years was protective (OR=0.22, 95% CI:0.07–0.69). Conclusion: A substantial proportion of medical undergraduates were affected by internet addiction. Longer screen time, access via multiple devices, and socio-familial factors were strongly associated with higher odds of moderate to severe addiction.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-16
DOI
https://doi.org/10.5281/zenodo.17361906
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proportion and Risk Factors of Internet Addiction among Medical Students in A Medical College in A Non-Metropolitan City in West Bengal

Zenodo (CERN European Organization for Nuclear Research)
Impact of Technology on Adolescents
article

Proportion and Risk Factors of Internet Addiction among Medical Students in A Medical College in A Non-Metropolitan City in West Bengal

article en

Abstract

Abstract Introduction: Internet addiction (IA) is an emerging public health problem worldwide, especially among adolescents and young adults. Medical students, due to high academic pressure and easy access to digital platforms, are particularly vulnerable. This study aimed to determine the prevalence of internet addiction and factors associated with moderate to severe internet addiction among undergraduate medical students in a government medical college of West Bengal. Materials and Methods: A descriptive cross-sectional study was conducted June to August 2024 among 63 second-year MBBS students at Jalpaiguri Government Medical College. Data were collected using a pretested questionnaire and the Young’s Internet Addiction Test (IAT). Sociodemographic variables and internet use patterns were assessed. Univariate logistic regression was used to identify predictors of moderate to severe internet addiction. Results: The mean age of participants was 21.9 (±1.5) years; 69.8% were male. Overall, 41.3% showed some level of internet addiction—23.8% mild, 14.3% moderate, and 3.2% severe. On univariate analysis, using more than one gadget for internet access (OR=3.7, 95% CI:1.0–13.9), internet use >6 hours/day (OR=13.2, 95% CI:1.2–140.7), and father’s postgraduate education (OR=6.6, 95% CI:1.5–28.5) were significant predictors. Initiating internet use at 16–20 years was protective (OR=0.22, 95% CI:0.07–0.69). Conclusion: A substantial proportion of medical undergraduates were affected by internet addiction. Longer screen time, access via multiple devices, and socio-familial factors were strongly associated with higher odds of moderate to severe addiction.

Zenodo (CERN European Organization for Nuclear Research)
Government Medical College (IN)
Openalex Percentile: Top 36%
Impact of Technology on Adolescents
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.