Evidence map›Paper›PMID 29669406›Full record

ArticlePsychiatry investigation2018

Development and Validation Study of the Internet Overuse Screening Questionnaire.

Han-Kyeong Lee, Hae-Woo Lee, Joo Hyun Han, Subin Park, Seok-Jin Ju, Kwanwoo Choi, Ji Hyeon Lee, Hong Jin Jeon

Abstract read
In one paragraph

Article in Psychiatry investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Han-Kyeong LeeDepartment of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hae-Woo LeeDepartment of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea.
Joo Hyun HanDepartment of Clinical Psychology, National Center for Mental Health, Seoul, Republic of Korea.
Subin ParkDepartment of Research Planning, Mental Health Research Institute, National Center for Mental Health, Seoul, Republic of Korea.
Seok-Jin JuDepartment of Child Welfare, Kosin University, Busan, Republic of Korea.
Kwanwoo ChoiDepartment of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Ji Hyeon LeeDepartment of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hong Jin JeonDepartment of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveConcerns over behavioral and emotional problems caused by excessive internet usage have been developed. This study intended to develop and a standardize questionnaire that can efficiently identify at-risk internet users through their internet usage habits.

methodsParticipants (n=158) were recruited at six I-will-centers located in Seoul, South Korea. From the initial 36 questionnaire item pool, 28 preliminary items were selected through expert evaluation and panel discussions. The construct validity, internal consistency, and concurrent validity were examined. We also conducted Receiver Operating Curve (ROC) analysis to assess diagnostic ability of the Internet Overuse Screening-Questionnaire (IOS-Q).

resultsThe exploratory factor analysis yielded a five factor structure. Four factors with 17 items remained after items that had unclear factor loading were removed. The Cronbach's alpha for the IOS-Q total score was 0.91, and test-retest reliability was 0.72. The correlation between Young's internet addiction scale and K-scale supported concurrent validity. ROC analysis showed that the IOS-Q has superior diagnostic ability with the Area Under the Curve of 0.87. At the cut-off point of 25.5, the sensitivity was 0.93 and specificity was 0.86.

conclusionOverall, this study supports the use of IOS-Q for internet addiction research and for screening high-risk individuals.

Indexed as

Behavioral addictionCut-offProblematic internet useScale validationScreening

Identifiers

PMID29669406
PMCPMC5912483

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.