nach oben

Social Psychiatry and Psychiatric Epidemiology

Erschienen in:

25.09.2018 | Original Paper

Prevalence of pathological and maladaptive Internet use and the association with depression and health-related quality of life in Japanese elementary and junior high school-aged children

verfasst von: Michio Takahashi, Masaki Adachi, Tomoko Nishimura, Tomoya Hirota, Sayura Yasuda, Michito Kuribayashi, Kazuhiko Nakamura

Erschienen in: Social Psychiatry and Psychiatric Epidemiology | Ausgabe 12/2018

Einloggen, um Zugang zu erhalten

Abstract

Purpose

Pathological Internet use has been predominantly studied in junior high/middle school-aged or older children; data from elementary/primary school-aged children, however, are scarce. The current study aimed to examine the prevalence of problematic Internet use, including pathological and maladaptive Internet use, in elementary and junior high school-aged children and the relationships between problematic Internet use and mental health problems and health-related quality of life.

Methods

The survey was conducted among children who attend national and public elementary and junior high schools in a medium-sized city in Japan; data were received from 3845 elementary school-aged and 4364 junior high school-aged children.

Results

Based on the Young’s Diagnostic Questionnaire score, the prevalence of pathological and maladaptive Internet use was 3.6% and 9.4% and 7.1% and 15.8% in elementary and junior high school-aged children, respectively. The prevalence of problematic Internet use, including pathological and maladaptive Internet use, consistently increased from the 4th grade to the 8th grade. In addition, the prevalence sharply increased between the 7th grade and the 8th grade. Our study revealed that children with pathological and maladaptive Internet use exhibited more severe depression and decreased health-related quality of life than those with adaptive Internet use.

Conclusions

Our results demonstrated that pathological Internet use is not uncommon even in elementary school-aged children and that those with pathological and maladaptive Internet use have severe mental health problems and decreased health-related quality of life, supporting the importance of providing these children with educational and preventive interventions against problematic Internet use and associated risk factors.

Nur mit Berechtigung zugänglich

Young KS (1998) Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav 1:237–244. https://doi.org/10.1089/cpb.1998.1.237 CrossRef

Banz BC, Yip SW, Yau YHC, Potenza MN (2016) Behavioral addictions in addiction medicine. In: Progress in brain research, 1st edn. Elsevier B.V., New York, pp 311–328. https://doi.org/10.1016/bs.pbr.2015.08.003 CrossRef

Brezing C, Derevensky JL, Potenza MN (2010) Non-substance-addictive behaviors in youth: pathological gambling and problematic Internet use. Child Adolesc Psychiatr Clin N Am 19:625–641. https://doi.org/10.1016/j.chc.2010.03.012 CrossRefPubMedPubMedCentral

Brand M, Young KS, Laier C (2014) Prefrontal control and Internet addiction: a theoretical model and review of neuropsychological and neuroimaging findings. Front Hum Neurosci 8:1–13. https://doi.org/10.3389/fnhum.2014.00375 CrossRef

Suckling J, Nestor LJ (2017) The neurobiology of addiction: the perspective from magnetic resonance imaging present and future. Addiction 112:360–369. https://doi.org/10.1111/add.13474 CrossRefPubMed

Weinstein A, Livny A, Weizman A (2017) New developments in brain research of internet and gaming disorder. Neurosci Biobehav Rev 75:314–330. https://doi.org/10.1016/j.neubiorev.2017.01.040 CrossRefPubMed

Grant JE, Chamberlain SR (2014) Impulsive action and impulsive choice across substance and behavioral addictions: cause or consequence? Addict Behav 39:1632–1639. https://doi.org/10.1016/j.addbeh.2014.04.022 CrossRefPubMed

Cabinet Office (2017) Survey on the Internet environment of youth. Web site of Cabinet Office, Government of Japan. http://www8.cao.go.jp/youth/youth-harm/chousa/net-jittai_list.html. Accessed 31 Dec 2017

Durkee T, Kaess M, Carli V et al (2012) Prevalence of pathological internet use among adolescents in Europe: demographic and social factors. Addiction 107:2210–2222. https://doi.org/10.1111/j.1360-0443.2012.03946.x CrossRefPubMed

10.

Morioka H, Itani O, Osaki Y et al (2016) Association between smoking and problematic Internet use among Japanese adolescents: large-scale nationwide epidemiological study. Cyberpsychol Behav Soc Netw 19:557–561. https://doi.org/10.1089/cyber.2016.0182 CrossRefPubMed

11.

Cao H, Sun Y, Wan Y et al (2011) Problematic Internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction. BMC Public Health 11:802. https://doi.org/10.1186/1471-2458-11-802 CrossRefPubMedPubMedCentral

12.

Li Y, Zhang X, Lu F et al (2014) Internet addiction among elementary and middle school students in China: a nationally representative sample study. Cyberpsychol Behav Soc Netw 17:111–116. https://doi.org/10.1089/cyber.2012.0482 CrossRefPubMedPubMedCentral

13.

Lau JTF, Gross DL, Wu AMS et al (2017) Incidence and predictive factors of Internet addiction among Chinese secondary school students in Hong Kong: a longitudinal study. Soc Psychiatry Psychiatr Epidemiol 52:657–667. https://doi.org/10.1007/s00127-017-1356-2 CrossRefPubMed

14.

Kaess M, Durkee T, Brunner R et al (2014) Pathological Internet use among European adolescents: psychopathology and self-destructive behaviours. Eur Child Adolesc Psychiatry 23:1093–1102. https://doi.org/10.1007/s00787-014-0562-7 CrossRefPubMedPubMedCentral

15.

Kawabe K, Horiuchi F, Ochi M et al (2016) Internet addiction: prevalence and relation with mental states in adolescents. Psychiatry Clin Neurosci 70:405–412. https://doi.org/10.1111/pcn.12402 CrossRefPubMed

16.

Kim K, Ryu E, Chon M-Y et al (2006) Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: a questionnaire survey. Int J Nurs Stud 43:185–192. https://doi.org/10.1016/j.ijnurstu.2005.02.005 CrossRefPubMed

17.

Morgan C, Cotten SR (2003) The relationship between Internet activities and depressive symptoms in a sample of college freshmen. Cyberpsychol Behav 6:133–142. https://doi.org/10.1089/109493103321640329 CrossRefPubMed

18.

Fu KW, Chan WSC, Wong PWC, Yip PSF (2010) Internet addiction: prevalence, discriminant validity and correlates among adolescents in Hong Kong. Br J Psychiatry 196:486–492. https://doi.org/10.1192/bjp.bp.109.075002 CrossRefPubMed

19.

Zhou P, Zhang C, Liu J, Wang Z (2017) The relationship between resilience and Internet addiction: a multiple mediation model through peer relationship and depression. Cyberpsychol Behav Soc Netw 20:634–639. https://doi.org/10.1089/cyber.2017.0319 CrossRefPubMed

20.

Park S, Hong K-EM, Park EJ et al (2013) The association between problematic internet use and depression, suicidal ideation and bipolar disorder symptoms in Korean adolescents. Aust N Z J Psychiatry 47:153–159. https://doi.org/10.1177/0004867412463613 CrossRefPubMed

21.

Lin I-H, Ko C-H, Chang Y-P et al (2014) The association between suicidality and Internet addiction and activities in Taiwanese adolescents. Compr Psychiatry 55:504–510. https://doi.org/10.1016/j.comppsych.2013.11.012 CrossRefPubMed

22.

Valkenburg PM, Peter J, Schouten AP (2006) Friend networking sites and their relationship to adolescents’ well-being and social self-esteem. Cyberpsychol Behav 9:584–590. https://doi.org/10.1089/cpb.2006.9.584 CrossRefPubMed

23.

Shaw LH, Gant LM (2002) In defense of the Internet: the relationship between Internet communication and depression, loneliness, self-esteem, and perceived social support. Cyberpsychol Behav 5:157–171. https://doi.org/10.1089/109493102753770552 CrossRefPubMed

24.

Tran BX, Huong LT, Hinh ND et al (2017) A study on the influence of internet addiction and online interpersonal influences on health-related quality of life in young Vietnamese. BMC Public Health 17:138. https://doi.org/10.1186/s12889-016-3983-z CrossRefPubMedPubMedCentral

25.

Mei S, Yau YHC, Chai J et al (2016) Problematic Internet use, well-being, self-esteem and self-control: data from a high-school survey in China. Addict Behav 61:74–79. https://doi.org/10.1016/j.addbeh.2016.05.009 CrossRefPubMedPubMedCentral

26.

Kuss DJ, van Rooij AJ, Shorter GW et al (2013) Internet addiction in adolescents: prevalence and risk factors. Comput Hum Behav 29:1987–1996. https://doi.org/10.1016/j.chb.2013.04.002 CrossRef

27.

American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders, 5th edn. American Psychiatric Association, Washington, DCCrossRef

28.

Johansson A, Gotestam KG (2004) Internet addiction: characteristics of a questionnaire and prevalence in Norwegian youth (12–18 years). Scand J Psychol 45:223–229. https://doi.org/10.1111/j.1467-9450.2004.00398.x CrossRefPubMed

29.

Birleson P, Hudson I, Buchanan DG, Wolff S (1987) Clinical evaluation of a self-rating scale for depressive disorder in childhood (Depression Self-Rating Scale). J Child Psychol Psychiatry 28:43–60. https://doi.org/10.1111/j.1469-7610.1987.tb00651.x CrossRefPubMed

30.

Varni JW, Seid M, Rode CA (1999) The PedsQL™: measurement model for the pediatric quality of life inventory. Med Care 37:126–139. https://doi.org/10.1097/00005650-199902000-00003 CrossRefPubMed

31.

Kobayashi K, Kamibeppu K (2010) Measuring quality of life in Japanese children: development of the Japanese version of PedsQL. Pediatr Int 52:80–88. https://doi.org/10.1111/j.1442-200X.2009.02889.x CrossRefPubMed

32.

Mak K-K, Lai C-M, Watanabe H et al (2014) Epidemiology of Internet behaviors and addiction among adolescents in six Asian countries. Cyberpsychol Behav Soc Netw 17:720–728. https://doi.org/10.1089/cyber.2014.0139 CrossRefPubMed

33.

Vigna-Taglianti F, Brambilla R, Priotto B et al (2017) Problematic internet use among high school students: prevalence, associated factors and gender differences. Psychiatry Res 257:163–171. https://doi.org/10.1016/j.psychres.2017.07.039 CrossRefPubMed

34.

Gentile DA, Choo H, Liau A et al (2011) Pathological video game use among youths: a two-year longitudinal study. Pediatrics 127:e319–e329. https://doi.org/10.1542/peds.2010-1353 CrossRefPubMed

35.

Hellström C, Nilsson KW, Leppert J, Åslund C (2012) Influences of motives to play and time spent gaming on the negative consequences of adolescent online computer gaming. Comput Hum Behav 28:1379–1387. https://doi.org/10.1016/j.chb.2012.02.023 CrossRef

36.

Wang C-W, Ho RTH, Chan CLW, Tse S (2015) Exploring personality characteristics of Chinese adolescents with internet-related addictive behaviors: trait differences for gaming addiction and social networking addiction. Addict Behav 42:32–35. https://doi.org/10.1016/j.addbeh.2014.10.039 CrossRefPubMed

37.

Tateno M, Teo AR, Shirasaka T et al (2016) Internet addiction and self-evaluated attention-deficit hyperactivity disorder traits among Japanese college students. Psychiatry Clin Neurosci 70:567–572. https://doi.org/10.1111/pcn.12454 CrossRefPubMedPubMedCentral

38.

An J, Sun Y, Wan Y et al (2014) Associations between problematic Internet use and adolescents’ physical and psychological symptoms. J Addict Med 8:282–287. https://doi.org/10.1097/ADM.0000000000000026 CrossRefPubMed

39.

Eliacik K, Bolat N, Koçyiğit C et al (2016) Internet addiction, sleep and health-related life quality among obese individuals: a comparison study of the growing problems in adolescent health. Eat Weight Disord 21:709–717. https://doi.org/10.1007/s40519-016-0327-z CrossRefPubMed

40.

Wang H, Zhou X, Lu C et al (2011) Problematic Internet use in high school students in Guangdong Province, China. PLoS One 6:e19660. https://doi.org/10.1371/journal.pone.0019660 CrossRefPubMedPubMedCentral

41.

Stavropoulos V, Alexandraki K, Motti-Stefanidi F (2013) Recognizing internet addiction: prevalence and relationship to academic achievement in adolescents enrolled in urban and rural Greek high schools. J Adolesc 36:565–576. https://doi.org/10.1016/j.adolescence.2013.03.008 CrossRefPubMed

42.

Yang SC, Tung C-J (2007) Comparison of Internet addicts and non-addicts in Taiwanese high school. Comput Hum Behav 23:79–96. https://doi.org/10.1016/j.chb.2004.03.037 CrossRef

43.

Wang C-W, Chan CLW, Mak K-K et al (2014) Prevalence and correlates of video and Internet gaming addiction among Hong Kong adolescents: a pilot study. Sci World J. https://doi.org/10.1155/2014/874648 (Article ID 874648) CrossRef

44.

Floros G, Siomos K (2013) The relationship between optimal parenting, Internet addiction and motives for social networking in adolescence. Psychiatry Res 209:529–534. https://doi.org/10.1016/j.psychres.2013.01.010 CrossRefPubMed

45.

Strittmatter E, Parzer P, Brunner R et al (2016) A 2-year longitudinal study of prospective predictors of pathological Internet use in adolescents. Eur Child Adolesc Psychiatry 25:725–734. https://doi.org/10.1007/s00787-015-0779-0 CrossRefPubMed

46.

Lam LT, Peng Z-W (2010) Effect of pathological use of the Internet on adolescent mental health. Arch Pediatr Adolesc Med 164:901–906. https://doi.org/10.1001/archpediatrics.2010.159 CrossRefPubMed

47.

Ko C-H, Liu T-L, Wang P-W et al (2014) The exacerbation of depression, hostility, and social anxiety in the course of Internet addiction among adolescents: a prospective study. Compr Psychiatry 55:1377–1384. https://doi.org/10.1016/j.comppsych.2014.05.003 CrossRefPubMed

Titel: Prevalence of pathological and maladaptive Internet use and the association with depression and health-related quality of life in Japanese elementary and junior high school-aged children
verfasst von: Michio Takahashi
Masaki Adachi
Tomoko Nishimura
Tomoya Hirota
Sayura Yasuda
Michito Kuribayashi
Kazuhiko Nakamura
Publikationsdatum: 25.09.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Social Psychiatry and Psychiatric Epidemiology / Ausgabe 12/2018
Print ISSN: 0933-7954
Elektronische ISSN: 1433-9285
DOI: https://doi.org/10.1007/s00127-018-1605-z

Neu im Fachgebiet Psychiatrie

18.04.2024 | Arterielle Hypertonie | Nachrichten

Update Psychiatrie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Prevalence of pathological and maladaptive Internet use and the association with depression and health-related quality of life in Japanese elementary and junior high school-aged children

Abstract

Purpose

Methods

Results

Conclusions

Neu im Fachgebiet Psychiatrie

Antihypertensiva schützen auch alte Menschen noch vor Demenz

Delir kann Demenz begünstigen

Zunahme von Geschlechtsinkongruenz und -dysphorie registriert

Vitiligo: Prävalenz steigt und viele Erkrankte werden spät behandelt

Update Psychiatrie

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

Purpose

Methods

Results

Conclusions

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 12/2018

A NEET distinction: youths not in employment, education or training follow different pathways to illness and care in psychosis

Girls get by with a little help from their friends: gender differences in protective effects of social support for psychotic phenomena amongst poly-victimised adolescents

Violent interpersonal trauma predicts aggressive thoughts and behaviors towards self and others: findings from the National Comorbidity Survey-Adolescent Supplement

Primary prevention of dementia: from modifiable risk factors to a public brain health agenda?

Correction to: Girls get by with a little help from their friends: gender differences in protective effects of social support for psychotic phenomena amongst poly-victimised adolescents

Development and predictors of mental ill-health and wellbeing from childhood to adolescence

Neu im Fachgebiet Psychiatrie

Antihypertensiva schützen auch alte Menschen noch vor Demenz

Delir kann Demenz begünstigen

Zunahme von Geschlechtsinkongruenz und -dysphorie registriert

Vitiligo: Prävalenz steigt und viele Erkrankte werden spät behandelt

Update Psychiatrie