Association between Internet addiction and depression in Thai medical students at Faculty of Medicine, Ramathibodi Hospital.

To study the extent of Internet addiction (IA) and its association with depression in Thai medical students.A cross-sectional study was conducted at Faculty of Medicine, Ramathibodi Hospital. Participants were first- to fifth-year medical students who agreed to participate in this study. Demographic...

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Main Authors: Thummaporn Boonvisudhi, Sanchai Kuladee
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5358859?pdf=render
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spelling doaj-be4f5f2cf4bd45dda9fd2283ff1e4ed92020-11-25T01:30:48ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01123e017420910.1371/journal.pone.0174209Association between Internet addiction and depression in Thai medical students at Faculty of Medicine, Ramathibodi Hospital.Thummaporn BoonvisudhiSanchai KuladeeTo study the extent of Internet addiction (IA) and its association with depression in Thai medical students.A cross-sectional study was conducted at Faculty of Medicine, Ramathibodi Hospital. Participants were first- to fifth-year medical students who agreed to participate in this study. Demographic characteristics and stress-related factors were derived from self-rated questionnaires. Depression was assessed using the Thai version of Patient Health Questionnaire (PHQ-9). A total score of five or greater derived from the Thai version of Young Diagnostic Questionnaire for Internet Addiction was classified as "possible IA". Then chi-square test and logistic regression were used to evaluate the associations between possible IA, depression and associated factors.From 705 participants, 24.4% had possible IA and 28.8% had depression. There was statistically significant association between possible IA and depression (odds ratio (OR) 1.92, 95% confidence interval (CI): 1.34-2.77, P-value <0.001). Logistic regression analysis illustrated that the odds of depression in possible IA group was 1.58 times of the group of normal Internet use (95% CI: 1.04-2.38, P-value = 0.031). Academic problems were found to be a significant predictor of both possible IA and depression.IA was likely to be a common psychiatric problem among Thai medical students. The research has also shown that possible IA was associated with depression and academic problems. We suggest that surveillance of IA should be considered in medical schools.http://europepmc.org/articles/PMC5358859?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Thummaporn Boonvisudhi
Sanchai Kuladee
spellingShingle Thummaporn Boonvisudhi
Sanchai Kuladee
Association between Internet addiction and depression in Thai medical students at Faculty of Medicine, Ramathibodi Hospital.
PLoS ONE
author_facet Thummaporn Boonvisudhi
Sanchai Kuladee
author_sort Thummaporn Boonvisudhi
title Association between Internet addiction and depression in Thai medical students at Faculty of Medicine, Ramathibodi Hospital.
title_short Association between Internet addiction and depression in Thai medical students at Faculty of Medicine, Ramathibodi Hospital.
title_full Association between Internet addiction and depression in Thai medical students at Faculty of Medicine, Ramathibodi Hospital.
title_fullStr Association between Internet addiction and depression in Thai medical students at Faculty of Medicine, Ramathibodi Hospital.
title_full_unstemmed Association between Internet addiction and depression in Thai medical students at Faculty of Medicine, Ramathibodi Hospital.
title_sort association between internet addiction and depression in thai medical students at faculty of medicine, ramathibodi hospital.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description To study the extent of Internet addiction (IA) and its association with depression in Thai medical students.A cross-sectional study was conducted at Faculty of Medicine, Ramathibodi Hospital. Participants were first- to fifth-year medical students who agreed to participate in this study. Demographic characteristics and stress-related factors were derived from self-rated questionnaires. Depression was assessed using the Thai version of Patient Health Questionnaire (PHQ-9). A total score of five or greater derived from the Thai version of Young Diagnostic Questionnaire for Internet Addiction was classified as "possible IA". Then chi-square test and logistic regression were used to evaluate the associations between possible IA, depression and associated factors.From 705 participants, 24.4% had possible IA and 28.8% had depression. There was statistically significant association between possible IA and depression (odds ratio (OR) 1.92, 95% confidence interval (CI): 1.34-2.77, P-value <0.001). Logistic regression analysis illustrated that the odds of depression in possible IA group was 1.58 times of the group of normal Internet use (95% CI: 1.04-2.38, P-value = 0.031). Academic problems were found to be a significant predictor of both possible IA and depression.IA was likely to be a common psychiatric problem among Thai medical students. The research has also shown that possible IA was associated with depression and academic problems. We suggest that surveillance of IA should be considered in medical schools.
url http://europepmc.org/articles/PMC5358859?pdf=render
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