Clinical Usefulness of a Short Version of the Internet Addiction Test to Screen for Probable Internet Addiction in Adolescents with Autism Spectrum Disorder
Bibliographic Data
| ID | 15471371 |
|---|---|
| Authors | Masaru Tateno (0000-0002-5084-0193, Sapporo Medical University, corresponding author), Kazumasa Horie (0000-0002-8006-1932, Kyushu University), Tomohiro Shirasaka (0000-0003-2873-4025, Teine Keijinkai Hospital), Kotaro Nanba, Eri Shiraishi, Yukie Tateno, Takahiro A Kato (0000-0001-5169-2930, Kyushu University) |
| Year | 2023 |
| Volume | 20 |
| Issue | 5 |
| Pages | 4670-4670 |
| Publication date | 2023-03-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20054670 |
| PMID | 36901680 |
| OpenAlex | W4323362622 |
| Language | EN |
| Citations received | 2 |
| References cited | 17 |
Internet addiction (IA) is defined as the condition of being addicted to all sorts of activities on the Internet. Individuals with neurodevelopmental disorders, including autism spectrum disorder (ASD), may be susceptible to IA. Early detection and intervention for probable IA are important to prevent severe IA. In this study, we investigated the clinical usefulness of a short version of the Internet Addiction Test (s-IAT) for the screening of IA among autistic adolescents. The subjects were 104 adolescents with a confirmed diagnosis of ASD. They were requested to answer 20 questions from the original Internet Addiction Test (IAT). In the data analysis process, we comparatively calculated the sum of scores to the 12 questions of s-IAT. In total, 14 of the 104 subjects were diagnosed as having IA based on the face-to-face clinical interview that was regarded as the gold standard. Statistical analysis suggested that the optimal cut-off for s-IAT was at 35. When we applied the cut-off of 70 on the IAT, only 2 of 14 subjects (14.3%) with IA were screened positive, whereas 10 (71.4%) of them were screened by using the cut-off point of 35 on s-IAT. The s-IAT might be useful for the screening of IA in adolescents with ASD
Addiction · Autism · Autism spectrum disorder · Behavioral addiction · Gold standard (test · Internet addiction disorder · Intervention (counseling · Psychiatry · Test (biology · The Internet · World Wide Web · Autism Spectrum Disorder Research · Child Development and Digital Technology · Clinical Psychology · Computer Science · Impact of Technology on Adolescents · Medicine · Psychology · Internal Medicine
Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms
Autism
Development and validation of a nine-item short screening test for ICD-11 gaming disorder (Games test) and estimation of the prevalence in the general young population
Validation of the Ten-Item Internet Gaming Disorder Test (IGDT-10) based on the clinical diagnosis of IGD in Japan
Factors Associated with Internet Addiction among Adolescents
Internet Addiction
The Compulsive Internet Use Scale (Cius)
Validation and psychometric properties of a short version of Young’s Internet Addiction Test
Epidemiology of Internet Behaviors and Addiction Among Adolescents in Six Asian Countries
Structural and Functional Brain Abnormalities in Internet Gaming Disorder and Attention-Deficit/Hyperactivity Disorder
Increasing important roles of child and adolescent psychiatrists in the treatment of gaming disorder
Assessing the Psychometric Properties of the Internet Addiction Test in Peruvian University Students
Psychometric property and measurement invariance of internet addiction test
Validation and psychometric analysis of the Internet Addiction Test in Spanish among college students
The Short French Internet Addiction Test Adapted to Online Sexual Activities
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |