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Internet Use Patterns, Internet Addiction, and Psychological Distress Among Engineering University Students: A Study from India

BACKGROUND: Internet addiction (IA) among university engineering students and its association with psychological distress can impact their educational progress, academic competence, and long-term career goals. Thus, there is a need to investigate the IA among engineering students. OBJECTIVES: This s...

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Detalles Bibliográficos
Autores principales: Anand, Nitin, Jain, Praveen A., Prabhu, Santosh, Thomas, Christofer, Bhat, Aneesh, Prathyusha, P. V., Bhat, Shrinivasa U., Young, Kimberly, Cherian, Anish V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6149312/
https://www.ncbi.nlm.nih.gov/pubmed/30275622
http://dx.doi.org/10.4103/IJPSYM.IJPSYM_135_18
Descripción
Sumario:BACKGROUND: Internet addiction (IA) among university engineering students and its association with psychological distress can impact their educational progress, academic competence, and long-term career goals. Thus, there is a need to investigate the IA among engineering students. OBJECTIVES: This study was a first such attempt to explore internet use behaviors, IA, among a large group of engineering students from India, and its association with psychological distress primarily depressive symptoms. METHODS: One thousand eighty six engineering students aged 18–21 years pursuing bachelors in engineering from the south Indian city of Mangalore participated in the study. The socio-educational and internet use behaviors data sheet was used to gather demographic information and patterns of internet use, Internet Addiction Test (IAT) was utilized to assess IA, and Self-Report Questionnaire (SRQ-20) assessed psychological distress primarily depressive symptoms. RESULTS: Among the total N = 1086, 27.1% of engineering students met criterion for mild addictive internet use, 9.7% for moderate addictive internet use, and 0.4% for severe addiction to internet. IA was higher among engineering students who were male, staying in rented accommodations, accessed internet several times a day, spent more than 3 h per day on internet, and had psychological distress. Gender, duration of use, time spent per day, frequency of internet use, and psychological distress (depressive symptoms) predicted IA. CONCLUSIONS: A substantial proportion of engineering students have IA which can be detrimental for their educational progress in university studies and long-term career goals. Early identification and management of IA and psychological distress among engineering students is crucial.