Which Are the Optimal Screening Tools for Internet Use Disorder in Children and Adolescents? A Systematic Review of Psychometric Evidence Article Swipe
Samantha Schlossarek
,
Lisa Hohls
,
Hannah Schmidt
,
Anja Bischof
,
Gallus Bischof
,
Dominique Brandt
,
Stefan Borgwardt
,
Dillon T. Browne
,
Dimitri Christakis
,
Pamela Hurst-Della Pietra
,
Zsolt Demetrovics
,
Hans‐Jürgen Rumpf
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s40429-024-00568-w
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s40429-024-00568-w
Purpose of Review The early detection of problematic Internet use (PIU) is essential to prevent the development of Internet use disorders (IUD). Although a variety of screening tools have already been developed and validated for this purpose, yet a consensus about optimal IUD assessment is still lacking. In this systematic review, we (i) describe the identified instruments for children and adolescents, (ii) critically examine their psychometric properties, and (iii) derive recommendations for particularly well-validated instruments. Recent Findings We conducted a systematic literature search in five databases on January 15, 2024. Of the initial 11,408 references identified, 511 studies were subjected to a full-text analysis resulting in a final inclusion of 70 studies. These studies validated a total of 31 instruments for PIU and IUD, including the Diagnostic Interview for Internet Addiction (DIA), a semi-structured interview. In terms of validation frequency, the Internet Addition Test (IAT) had the largest evidence base, followed by the Compulsive Internet Use Scale (CIUS). Only two of the measures examined were based on the current DSM-5 criteria for Internet Gaming Disorder. Summary Although no screening instrument was found to be clearly superior, the strongest recommendation can be made for CIUS, and Generalized Problematic Internet Use Scale (GPIUS2). Overall, the quality of the included studies can only be rated as moderate. The IUD research field would benefit from clear cut-off scores and a clinical validation of (screening) instruments.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1007/s40429-024-00568-w
- https://link.springer.com/content/pdf/10.1007/s40429-024-00568-w.pdf
- OA Status
- hybrid
- Cited By
- 6
- References
- 121
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400083999
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400083999Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s40429-024-00568-wDigital Object Identifier
- Title
-
Which Are the Optimal Screening Tools for Internet Use Disorder in Children and Adolescents? A Systematic Review of Psychometric EvidenceWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-06-27Full publication date if available
- Authors
-
Samantha Schlossarek, Lisa Hohls, Hannah Schmidt, Anja Bischof, Gallus Bischof, Dominique Brandt, Stefan Borgwardt, Dillon T. Browne, Dimitri Christakis, Pamela Hurst-Della Pietra, Zsolt Demetrovics, Hans‐Jürgen RumpfList of authors in order
- Landing page
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https://doi.org/10.1007/s40429-024-00568-wPublisher landing page
- PDF URL
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https://link.springer.com/content/pdf/10.1007/s40429-024-00568-w.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://link.springer.com/content/pdf/10.1007/s40429-024-00568-w.pdfDirect OA link when available
- Concepts
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The Internet, Scale (ratio), Psychology, Addiction, Inclusion (mineral), Test (biology), Systematic review, Clinical psychology, MEDLINE, Medicine, Psychiatry, Computer science, Social psychology, World Wide Web, Biology, Quantum mechanics, Law, Physics, Political science, PaleontologyTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 5, 2024: 1Per-year citation counts (last 5 years)
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121Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5016113474 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I9341345 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.41999998688697815 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.97454195 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |