Evidence map›Paper›PMID 32172235›Full record

ArticleEuropean addiction research2020

Development and Validation of a Short-Form Internet Overuse Screening Questionnaire for Adults.

Soowon Park, Seungchan Lee, Boungho Choi, Seunghee Cho, Jin-Pyo Hong, Hong Jin Jeon, Jeongsim Kim, Jee Eun Park, Jun-Young Lee

Open access · hybridAbstract read
In one paragraph

Article in European addiction research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 28% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 5 institutions in 2 countries.

Soowon ParkDepartment of Education, Sejong University, Seoul, Republic of Korea.
Seungchan LeeSeoul National University College of Medicine, Seoul, Republic of Korea.
Boungho ChoiDepartment of Criminology, Graduate School of Police Studies, Korean National Police University, Asan, Republic of Korea.
Seunghee ChoDepartment of Psychology, University of California, Los Angeles, California, USA.
Jin-Pyo HongDepartment 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.
Jeongsim KimDepartment of Psychiatry and Neuroscience Research Institute, Seoul National University College of Medicine and SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.
Jee Eun ParkDepartment of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
Jun-Young LeeDepartment of Psychiatry and Neuroscience Research Institute, Seoul National University College of Medicine and SMG-SNU Boramae Medical Center, Seoul, Republic of Korea, benji@snu.ac.kr.
Seoul National University · KRSamsung Medical Center · KRKorean National Police University · KRSejong University · KRUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of the current study was to develop and validate a short-form of the internet overuse screening questionnaire (IOS-Qs).

methodsA total of 571 adults were recruited from a representative, stratified, and multistage cluster sample. Among participants, 188 and 383 were used in the development and validation of the IOS-Qs, respectively.

resultsExperts' ratings and Rasch model analyses led to the selection of 8 items from the IOS-Qs; latent-class analysis using these 8 items revealed an estimated prevalence of 8.6% (33 out of 383) of problematic internet over-users. Problematic internet over-users were positively associated with a 1-year prevalence rate of any mental disorder (OR 3.08, p = 0.008), mood disorder (OR 7.11, p = 0.003), and depressive disorder (OR 5.22, p = 0.016). The receiver operating characteristic curves identified an optimal cutoff score of 9.5 for differentiating problematic internet over-users from unproblematic internet users with 94% sensitivity and 94% specificity.

conclusionThe results suggest that the IOS-Qs was valid, and items including social isolation were crucial to the brief distinction of at-risk internet users. Because of its brevity, the questionnaire can be effectively administered as a large-scale survey.

Indexed as

Internet Addiction DisorderMass ScreeningSurveys and QuestionnairesAdultFemaleHumansMaleReproducibility of ResultsComorbidityInternet overuse screening questionnaireRasch modelValidation

Identifiers

PMID32172235
PMCPMC7845426
OpenAlexW3010844396

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.