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The validity and psychometric properties of the Japanese version of the Compulsive Internet Use Scale (CIUS)

Overview of attention for article published in BMC Psychiatry, May 2017
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Title
The validity and psychometric properties of the Japanese version of the Compulsive Internet Use Scale (CIUS)
Published in
BMC Psychiatry, May 2017
DOI 10.1186/s12888-017-1364-5
Pubmed ID
Authors

Roseline Kim Fong Yong, Akiomi Inoue, Norito Kawakami

Abstract

Prolonged Internet use is often associated with reduced social involvement and comorbid psychopathologies, including depression, anxiety, attention-deficit/hyperactivity disorder, and obsessive-compulsive disorder. Asian countries where Internet access is widely available have high reported levels of Internet addiction. As Internet use has changed drastically since concerns about Internet addiction were first raised, the results of recent studies may be inaccurate because the scales they employed to measure Internet addiction were formulated for different Internet usage from the present. It is thus necessary to develop more-up-to-date scales to assess problematic private use of the Internet. The Compulsive Internet Use Scale (CIUS) was translated into Japanese. An online sample whose ages and sexes reflected that of the national population of Internet users was recruited to test the scale's reliability and validity. Correlations between the scale and Internet-related parameters (such as time spent online, motivation for going online, and applications used) and psychosocial factors (such as psychological distress symptoms and loneliness) were examined. Psychometric properties were examined by the split-half method using both exploratory and confirmatory factor analysis. Model fits were compared across gender. CIUS was found to have a high reliability and good concurrent, correlation and construct validity. Both exploratory and confirmatory factors revealed that the one-factor solution yielded a satisfactory result across gender. However, the three-factor structural model in which compulsiveness was gauged by "excessive absorption", "difficulty in setting priorities", and "mood regulation" gave the best fit of the model for the general population as well as across gender. Compulsive Internet behavior in Japan can be assessed in terms of absorption, priorities, and mood. CIUS is a valid scale for screening compulsive Internet behavior in the general Japanese population regardless of age and gender.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 152 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 16%
Student > Master 17 11%
Student > Bachelor 16 10%
Researcher 14 9%
Student > Doctoral Student 10 7%
Other 31 20%
Unknown 41 27%
Readers by discipline Count As %
Psychology 45 29%
Medicine and Dentistry 17 11%
Social Sciences 13 8%
Nursing and Health Professions 10 7%
Computer Science 9 6%
Other 10 7%
Unknown 49 32%
Attention Score in Context

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 10 January 2018.
All research outputs
#14,286,628
of 22,977,819 outputs
Outputs from BMC Psychiatry
#3,082
of 4,734 outputs
Outputs of similar age
#175,383
of 316,100 outputs
Outputs of similar age from BMC Psychiatry
#63
of 113 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,734 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,100 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.