Parent-adolescent interaction and risk of adolescent internet addiction: a population-based study in Shanghai
dc.contributor.author | Xu, Jian | |
dc.contributor.author | Shen, Li-xiao | |
dc.contributor.author | Yan, Chong-huai | |
dc.contributor.author | Hu, Howard | |
dc.contributor.author | Yang, Fang | |
dc.contributor.author | Wang, Lu | |
dc.contributor.author | Kotha, Sudha R | |
dc.contributor.author | Ouyang, Fengxiu | |
dc.contributor.author | Zhang, Li-na | |
dc.contributor.author | Liao, Xiang-peng | |
dc.contributor.author | Zhang, Jun | |
dc.contributor.author | Zhang, Jin-song | |
dc.contributor.author | Shen, Xiao-ming | |
dc.date.accessioned | 2014-12-08T17:45:06Z | |
dc.date.available | 2014-12-08T17:45:06Z | |
dc.date.issued | 2014-04-15 | |
dc.identifier.citation | BMC Psychiatry. 2014 Apr 15;14(1):112 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/109471 | en_US |
dc.description.abstract | 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. | |
dc.title | Parent-adolescent interaction and risk of adolescent internet addiction: a population-based study in Shanghai | |
dc.type | Article | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/109471/1/12888_2014_Article_1616.pdf | |
dc.identifier.doi | 10.1186/1471-244X-14-112 | en_US |
dc.language.rfc3066 | en | |
dc.rights.holder | Xu et al.; licensee BioMed Central Ltd. | |
dc.date.updated | 2014-12-08T17:45:06Z | |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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