What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use

Kyoung Min Kim,1 Haebin Kim,2 Jae-Won Choi,3 Soo Yeon Kim,4 Jun Won Kim5 1Department of Psychiatry, College of Medicine, Dankook University, Cheonan, Republic of Korea; 2Department of Psychiatry, Kyung Hee University Hospital, Seoul, Republic of Korea; 3Department of Psychiatry, Gyeongsang National...

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Autores principales:	Kim KM, Kim H, Choi JW, Kim SY, Kim JW
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2020
Materias:	addiction adolescence sex differences internet usage Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/2e85758b55684a119af7bbb2a390942d
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spelling	oai:doaj.org-article:2e85758b55684a119af7bbb2a390942d2021-12-02T11:23:52ZWhat Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use1178-2021https://doaj.org/article/2e85758b55684a119af7bbb2a390942d2020-04-01T00:00:00Zhttps://www.dovepress.com/what-types-of-internet-services-make-adolescents-addicted-correlates-o-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Kyoung Min Kim,1 Haebin Kim,2 Jae-Won Choi,3 Soo Yeon Kim,4 Jun Won Kim5 1Department of Psychiatry, College of Medicine, Dankook University, Cheonan, Republic of Korea; 2Department of Psychiatry, Kyung Hee University Hospital, Seoul, Republic of Korea; 3Department of Psychiatry, Gyeongsang National University Hospital, Jinju, Republic of Korea; 4Department of Psychiatry, Pusan National University Hospital, Busan, Republic of Korea; 5Department of Psychiatry, Catholic University of Daegu School of Medicine, Daegu, Republic of KoreaCorrespondence: Jun Won KimDepartment of Psychiatry, Catholic University of Daegu School of Medicine, 3056-6 Daemyeong-4 Dong, Nam-gu, Daegu 705-718, Republic of KoreaTel +82 53 650 4332Fax +82 53 623 1694Email f_affection@naver.comPurpose: This study investigated the prevalence and correlates of problematic internet use (PIU) in a large sample of adolescents based on the type of internet service used.Materials and Methods: The study was conducted from 2008 to 2010, and 223,542 adolescents aged 12 to 18 years participated in the study. The participants responded to a self-report questionnaire including items for demographic factors, internet usage time, most used internet service and mental health. The PIU was assessed with the Internet Addiction Proneness Scale for Youth-Short Form.Results: The overall prevalence rate of PIU was 5.2%, and the prevalence rates stratified by sex were 7.7% in boys and 3.8% in girls. The distribution of most used internet services was significantly different across sexes. The most commonly used internet services were gaming (58.1%) in boys and blogging (22.1%) and messenger/chatting (20.3%) in girls. The odds ratio for PIU was significantly different according to the most used internet service; using the internet mostly for pornography compared to information searching had the highest odds ratio (4.526-fold higher). Depressive episodes, suicidal ideation, and suicidal attempts were significantly associated with higher odds ratios for PIU (1.725-, 1.747- and 1.361-fold, respectively).Conclusion: The present study identified clinically important information about PIU in adolescents. The distribution of PIU has different patterns based on sex and specific internet services. Studies of PIU with well-defined methodology and assessment tools for PIU of each specific internet service are needed.Keywords: addiction, adolescence, sex differences, internet usageKim KMKim HChoi JWKim SYKim JWDove Medical Pressarticleaddictionadolescencesex differencesinternet usageNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol Volume 16, Pp 1031-1041 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	addiction adolescence sex differences internet usage Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
spellingShingle	addiction adolescence sex differences internet usage Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Kim KM Kim H Choi JW Kim SY Kim JW What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use
description	Kyoung Min Kim,1 Haebin Kim,2 Jae-Won Choi,3 Soo Yeon Kim,4 Jun Won Kim5 1Department of Psychiatry, College of Medicine, Dankook University, Cheonan, Republic of Korea; 2Department of Psychiatry, Kyung Hee University Hospital, Seoul, Republic of Korea; 3Department of Psychiatry, Gyeongsang National University Hospital, Jinju, Republic of Korea; 4Department of Psychiatry, Pusan National University Hospital, Busan, Republic of Korea; 5Department of Psychiatry, Catholic University of Daegu School of Medicine, Daegu, Republic of KoreaCorrespondence: Jun Won KimDepartment of Psychiatry, Catholic University of Daegu School of Medicine, 3056-6 Daemyeong-4 Dong, Nam-gu, Daegu 705-718, Republic of KoreaTel +82 53 650 4332Fax +82 53 623 1694Email f_affection@naver.comPurpose: This study investigated the prevalence and correlates of problematic internet use (PIU) in a large sample of adolescents based on the type of internet service used.Materials and Methods: The study was conducted from 2008 to 2010, and 223,542 adolescents aged 12 to 18 years participated in the study. The participants responded to a self-report questionnaire including items for demographic factors, internet usage time, most used internet service and mental health. The PIU was assessed with the Internet Addiction Proneness Scale for Youth-Short Form.Results: The overall prevalence rate of PIU was 5.2%, and the prevalence rates stratified by sex were 7.7% in boys and 3.8% in girls. The distribution of most used internet services was significantly different across sexes. The most commonly used internet services were gaming (58.1%) in boys and blogging (22.1%) and messenger/chatting (20.3%) in girls. The odds ratio for PIU was significantly different according to the most used internet service; using the internet mostly for pornography compared to information searching had the highest odds ratio (4.526-fold higher). Depressive episodes, suicidal ideation, and suicidal attempts were significantly associated with higher odds ratios for PIU (1.725-, 1.747- and 1.361-fold, respectively).Conclusion: The present study identified clinically important information about PIU in adolescents. The distribution of PIU has different patterns based on sex and specific internet services. Studies of PIU with well-defined methodology and assessment tools for PIU of each specific internet service are needed.Keywords: addiction, adolescence, sex differences, internet usage
format	article
author	Kim KM Kim H Choi JW Kim SY Kim JW
author_facet	Kim KM Kim H Choi JW Kim SY Kim JW
author_sort	Kim KM
title	What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use
title_short	What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use
title_full	What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use
title_fullStr	What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use
title_full_unstemmed	What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use
title_sort	what types of internet services make adolescents addicted? correlates of problematic internet use
publisher	Dove Medical Press
publishDate	2020
url	https://doaj.org/article/2e85758b55684a119af7bbb2a390942d
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What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use

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