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The association between parental depression and adolescent’s Internet addiction in South Korea

Overview of attention for article published in Annals of General Psychiatry, May 2018
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Title
The association between parental depression and adolescent’s Internet addiction in South Korea
Published in
Annals of General Psychiatry, May 2018
DOI 10.1186/s12991-018-0187-1
Pubmed ID
Authors

Dong-Woo Choi, Sung-Youn Chun, Sang Ah Lee, Kyu-Tae Han, Eun-Cheol Park

Abstract

A number of risk factors for Internet addiction among adolescents have been identified to be associated with their behavior, familial, and parental factors. However, few studies have focused on the relationship between parental mental health and Internet addiction among adolescents. Therefore, we investigated the association between parental mental health and children's Internet addiction by controlling for several risk factors. This study used panel data collected by the Korea Welfare Panel Study in 2012 and 2015. We focused primarily on the association between Internet addiction which was assessed by the Internet Addiction Scale (IAS) and parental depression which was measured with the 11-item version of the Center for Epidemiologic Studies Depression Scale. To analyze the association between parental depression and log-transformed IAS, we conducted multiple regression analysis after adjusting for covariates. Among 587 children, depressed mothers and fathers comprised 4.75 and 4.19%, respectively. The mean IAS score of the adolescents was 23.62 ± 4.38. Only maternal depression (β = 0.0960, p = 0.0033) showed higher IAS among children compared to nonmaternal depression. Strongly positive associations between parental depression and children's Internet addiction were observed for high maternal education level, adolescents' gender, and adolescent's academic performance. Maternal depression is related to children's Internet addiction; particularly, mothers who had graduated from the university level or above, male children, and children's normal or better academic performance show the strongest relationship with children's Internet addiction.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 28%
Student > Ph. D. Student 5 17%
Student > Master 4 14%
Researcher 2 7%
Professor 1 3%
Other 3 10%
Unknown 6 21%
Readers by discipline Count As %
Psychology 10 34%
Social Sciences 5 17%
Neuroscience 2 7%
Computer Science 1 3%
Nursing and Health Professions 1 3%
Other 3 10%
Unknown 7 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 May 2018.
All research outputs
#10,326,748
of 12,942,974 outputs
Outputs from Annals of General Psychiatry
#236
of 313 outputs
Outputs of similar age
#202,805
of 270,691 outputs
Outputs of similar age from Annals of General Psychiatry
#1
of 1 outputs
Altmetric has tracked 12,942,974 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 313 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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