| Title |
Factor Structure of the Internet Addiction Scale and Its Associations with Psychiatric Symptoms for Korean Adolescents
|
|---|---|
| Published in |
Community Mental Health Journal, December 2013
|
| DOI | 10.1007/s10597-013-9689-0 |
| Pubmed ID | |
| Authors |
Minje Sung, Yun-Mi Shin, Sun-Mi Cho |
| Abstract |
In this paper, we explore underlying factors of Internet Addiction Scale (IAS) and examine how the dimensions of the IAS relate to psychiatric symptoms in Korean adolescents. Exploratory factor analysis with a sample of N = 1,722 consisted of 13-15 year old Korean adolescents identified three distinctive factors of IAS and they were labeled 'time management', 'withdrawal behaviors' and 'neglect work'. Then, multiple regression models were applied to assess the association between each factor and eight psychological problems, which were evaluated by Youth Self Report. The overall IAS was significantly associated with Somatic, Immature, Thought, Attention, Delinquent and Aggressive behaviors. However, three factor scores showed different association patterns and indicated multidimensional aspects of problematic Internet use. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 1% |
| Germany | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 79 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 15% |
| Student > Ph. D. Student | 11 | 13% |
| Student > Master | 11 | 13% |
| Researcher | 8 | 10% |
| Other | 6 | 7% |
| Other | 17 | 21% |
| Unknown | 17 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 27 | 33% |
| Medicine and Dentistry | 16 | 20% |
| Social Sciences | 8 | 10% |
| Nursing and Health Professions | 6 | 7% |
| Computer Science | 3 | 4% |
| Other | 2 | 2% |
| Unknown | 20 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 February 2015.
All research outputs
#14,768,891
of 22,736,112 outputs
Outputs from Community Mental Health Journal
#764
of 1,280 outputs
Outputs of similar age
#184,326
of 305,967 outputs
Outputs of similar age from Community Mental Health Journal
#12
of 23 outputs
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