Parent-adolescent interaction and risk of adolescent internet addiction: a population-based study in Shanghai
- PMID: 24731648
- PMCID: PMC3999889
- DOI: 10.1186/1471-244X-14-112
Parent-adolescent interaction and risk of adolescent internet addiction: a population-based study in Shanghai
Abstract
Background: Family-based intervention is essential for adolescents with behavioral problems. However, limited data are available on the relationship between family-based factors and adolescent internet addiction (AIA). We aimed to examine this relationship using a representative sample of Shanghai adolescents.
Methods: In October 2007, a total of 5122 adolescents were investigated from 16 high schools via stratified-random sampling in Shanghai. Self-reported and anonymous questionnaires were used to assess parent-adolescent interaction and family environments. AIA was assessed by DRM-52 Scale, developed from Young's Internet-addiction Scale, using seven subscales to evaluate psychological symptoms of AIA.
Results: Adjusting for adolescents' ages, genders, socio-economic status, school performances and levels of the consumption expenditure, strong parental disapproval of internet-use was associated with AIA (vs. parental approval, OR = 2.20, 95% CI: 1.24-3.91). Worse mother-adolescent relationships were more significantly associated with AIA (OR = 3.79, 95% CI: 2.22-6.48) than worse father-adolescent relationships (OR = 1.76, 95% CI: 1.10-2.80). Marital status of "married-but-separated" and family structure of "left-behind adolescents" were associated with symptoms of some subscales. When having high monthly allowance, resident students tended to develop AIA but commuter students did not. Family social-economic status was not associated with the development of AIA.
Conclusions: The quality of parent-adolescent relationship/communication was closely associated with the development of AIA, and maternal factors were more significantly associated with development of AIA than paternal factors. Family social-economic status moderated adolescent internet-use levels but not the development of AIA.
Similar articles
-
Parental control and adolescent internet addiction: the moderating effect of parent-child relationships.Front Public Health. 2023 May 25;11:1190534. doi: 10.3389/fpubh.2023.1190534. eCollection 2023. Front Public Health. 2023. PMID: 37304126 Free PMC article.
-
Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China.BMC Public Health. 2012 Dec 22;12:1106. doi: 10.1186/1471-2458-12-1106. BMC Public Health. 2012. PMID: 23259906 Free PMC article.
-
Analysis of deviant behaviors and family functions in the population at risk of internet addiction among primary and secondary school students in Chengdu city, Sichuan province of China.Front Public Health. 2024 Nov 27;12:1498466. doi: 10.3389/fpubh.2024.1498466. eCollection 2024. Front Public Health. 2024. PMID: 39664540 Free PMC article.
-
[Relationships between family interactions and pathological internet use in adolescents: an review].Z Kinder Jugendpsychiatr Psychother. 2015 Jan;43(1):9-17; quiz 18-9. doi: 10.1024/1422-4917/a000328. Z Kinder Jugendpsychiatr Psychother. 2015. PMID: 25536892 Review. German.
-
[Parental factors in internet and computer game addiction in adolescence: An overview].Z Kinder Jugendpsychiatr Psychother. 2021 Jan;50(1):37-50. doi: 10.1024/1422-4917/a000817. Epub 2021 Jul 9. Z Kinder Jugendpsychiatr Psychother. 2021. PMID: 34238056 Review. German.
Cited by
-
Epidemiology of gaming disorder and its effect on anxiety and insomnia in Chinese ethnic minority adolescents.BMC Psychiatry. 2022 Apr 12;22(1):260. doi: 10.1186/s12888-022-03894-3. BMC Psychiatry. 2022. PMID: 35413829 Free PMC article.
-
Maybe you should blame your parents: Parental attachment, gender, and problematic Internet use.J Behav Addict. 2016 Sep;5(3):524-8. doi: 10.1556/2006.5.2016.059. Epub 2016 Aug 24. J Behav Addict. 2016. PMID: 27554503 Free PMC article.
-
Effects of pocket money on weight status among junior high school students: A longitudinal study in China.Medicine (Baltimore). 2023 Oct 13;102(41):e34513. doi: 10.1097/MD.0000000000034513. Medicine (Baltimore). 2023. PMID: 37832134 Free PMC article.
-
Of Young People and Internet Cafés.Front Psychol. 2021 Sep 16;12:603992. doi: 10.3389/fpsyg.2021.603992. eCollection 2021. Front Psychol. 2021. PMID: 34603113 Free PMC article.
-
Parental control and adolescent internet addiction: the moderating effect of parent-child relationships.Front Public Health. 2023 May 25;11:1190534. doi: 10.3389/fpubh.2023.1190534. eCollection 2023. Front Public Health. 2023. PMID: 37304126 Free PMC article.
References
-
- Durkee T, Kaess M, Carli V, Parzer P, Wasserman C, Floderus B, Apter A, Balazs J, Barzilay S, Bobes J, Brunner R, Corcoran P, Cosman D, Cotter P, Despalins R, Graber N, Guillemin F, Haring C, Kahn JP, Mandelli L, Marusic D, Mészáros G, Musa GJ, Postuvan V, Resch F, Saiz PA, Sisask M, Varnik A, Sarchiapone M, Hoven CW. et al.Prevalence of pathological Internet use among adolescents in Europe: demographic and social factors. Addiction. 2012;107:2210–2222. doi: 10.1111/j.1360-0443.2012.03946.x. - DOI - PubMed
-
- Xu J, Shen LX, Yan CH, Hu H, Yang F, Wang L, Kotha SR, Zhang LN, Liao XP, Zhang J, Ouyang FX, Zhang JS, Shen XM. Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China. BMC Public Health. 2012;12:1106. doi: 10.1186/1471-2458-12-1106. - DOI - PMC - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical