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ABSTRACT: Aims
The aim of the current study was to develop and validate a short-form of the internet overuse screening questionnaire (IOS-Qs).Methods
A 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.Results
Experts' 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.Conclusion
The 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.
SUBMITTER: Park S
PROVIDER: S-EPMC7845426 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Park Soowon S Lee Seungchan S Choi Boungho B Cho Seunghee S Hong Jin-Pyo JP Jeon Hong Jin HJ Kim Jeongsim J Park Jee Eun JE Lee Jun-Young JY
European addiction research 20200313 6
<h4>Aims</h4>The aim of the current study was to develop and validate a short-form of the internet overuse screening questionnaire (IOS-Qs).<h4>Methods</h4>A 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.<h4>Results</h4>Experts' ratings and Rasch model analyses led to the selection of 8 items from the IOS-Qs; latent-class analysis using th ...[more]