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


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

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Publications

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

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]

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