Adult Attention Deficit and Hyperactivity Disorder Symptoms and Internet Addiction in College Students: Prevalence and Differential Associations
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| Title: | Adult Attention Deficit and Hyperactivity Disorder Symptoms and Internet Addiction in College Students: Prevalence and Differential Associations |
|---|---|
| Language: | English |
| Authors: | Zhang, Wei, Jiang, Xu (ORCID |
| Source: | European Journal of Psychology and Educational Research. 2022 5(1):33-43. |
| Availability: | Eurasian Society of Educational Research. 7321 Parkway Drive South, Hanover, MD 21076. e-mail: publisher@ejper.com; Web site: https://www.ejper.com/about-us |
| Peer Reviewed: | Y |
| Page Count: | 11 |
| Publication Date: | 2022 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Foreign Countries, College Students, Attention Deficit Hyperactivity Disorder, Internet, Addictive Behavior, Rating Scales, Symptoms (Individual Disorders), Computer Use, Time |
| Geographic Terms: | China |
| Assessment and Survey Identifiers: | Conners Rating Scales |
| ISSN: | 2589-949X |
| Abstract: | This paper presents an investigation that aims to: (1) explore the relations between core symptoms of adult Attention Deficit and Hyperactivity Disorder (ADHD) and several typical Internet activities, and (2) compare the predictive power of two core symptoms of ADHD- inattention and hyperactivity/impulsivity- in predicting Internet addiction. Methods: A total of 2016 Chinese college students participated in this study. The ADHD symptoms were assessed using Conners self-rating scales and DSM-5 semistructured interviews. Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (SCID-5) was used to exclude other psychiatric disorders. Chen's Internet addiction scale (CIAS) was used to evaluate Internet addiction. Information about Internet activities (e.g., online gaming) was collected through a self-constructed questionnaire. Results: The ratio of Internet addiction problems among individuals with ADHD symptoms is significantly higher than in ordinary individuals (48.9% vs. 14.3%). Further, each core ADHD symptom has unique relations with different types of Internet activities. Specifically, both core ADHD symptoms are negatively associated with information downloading and online learning, and positively associated with online gaming, while online shopping is only associated with hyperactivity/impulsivity. Furthermore, both core ADHD symptoms are significant predictors of Internet addiction, especially inattention. Conclusion: College students with ADHD symptoms are at a higher risk of having Internet addiction than peers without ADHD symptoms. For individuals with ADHD symptoms and excessive online gaming and/or online shopping behaviors, the probability of having Internet addiction is even higher. These findings have important implications for identifying risk factors of Internet addiction and preventing Internet addiction in Higher Education settings. |
| Abstractor: | As Provided |
| Entry Date: | 2022 |
| Accession Number: | EJ1353274 |
| Database: | ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1353274 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Adult Attention Deficit and Hyperactivity Disorder Symptoms and Internet Addiction in College Students: Prevalence and Differential Associations – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Wei%22">Zhang, Wei</searchLink><br /><searchLink fieldCode="AR" term="%22Jiang%2C+Xu%22">Jiang, Xu</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-7324-7125">0000-0001-7324-7125</externalLink>)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Lu%22">Yang, Lu</searchLink><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Wanling%22">Zhu, Wanling</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22European+Journal+of+Psychology+and+Educational+Research%22"><i>European Journal of Psychology and Educational Research</i></searchLink>. 2022 5(1):33-43. – Name: Avail Label: Availability Group: Avail Data: Eurasian Society of Educational Research. 7321 Parkway Drive South, Hanover, MD 21076. e-mail: publisher@ejper.com; Web site: https://www.ejper.com/about-us – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 11 – Name: DatePubCY Label: Publication Date Group: Date Data: 2022 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Attention+Deficit+Hyperactivity+Disorder%22">Attention Deficit Hyperactivity Disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Addictive+Behavior%22">Addictive Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Rating+Scales%22">Rating Scales</searchLink><br /><searchLink fieldCode="DE" term="%22Symptoms+%28Individual+Disorders%29%22">Symptoms (Individual Disorders)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Use%22">Computer Use</searchLink><br /><searchLink fieldCode="DE" term="%22Time%22">Time</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: SubjectThesaurus Label: Assessment and Survey Identifiers Group: Su Data: <searchLink fieldCode="SU" term="%22Conners+Rating+Scales%22">Conners Rating Scales</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 2589-949X – Name: Abstract Label: Abstract Group: Ab Data: This paper presents an investigation that aims to: (1) explore the relations between core symptoms of adult Attention Deficit and Hyperactivity Disorder (ADHD) and several typical Internet activities, and (2) compare the predictive power of two core symptoms of ADHD- inattention and hyperactivity/impulsivity- in predicting Internet addiction. Methods: A total of 2016 Chinese college students participated in this study. The ADHD symptoms were assessed using Conners self-rating scales and DSM-5 semistructured interviews. Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (SCID-5) was used to exclude other psychiatric disorders. Chen's Internet addiction scale (CIAS) was used to evaluate Internet addiction. Information about Internet activities (e.g., online gaming) was collected through a self-constructed questionnaire. Results: The ratio of Internet addiction problems among individuals with ADHD symptoms is significantly higher than in ordinary individuals (48.9% vs. 14.3%). Further, each core ADHD symptom has unique relations with different types of Internet activities. Specifically, both core ADHD symptoms are negatively associated with information downloading and online learning, and positively associated with online gaming, while online shopping is only associated with hyperactivity/impulsivity. Furthermore, both core ADHD symptoms are significant predictors of Internet addiction, especially inattention. Conclusion: College students with ADHD symptoms are at a higher risk of having Internet addiction than peers without ADHD symptoms. For individuals with ADHD symptoms and excessive online gaming and/or online shopping behaviors, the probability of having Internet addiction is even higher. These findings have important implications for identifying risk factors of Internet addiction and preventing Internet addiction in Higher Education settings. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2022 – Name: AN Label: Accession Number Group: ID Data: EJ1353274 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 33 Subjects: – SubjectFull: Foreign Countries Type: general – SubjectFull: College Students Type: general – SubjectFull: Attention Deficit Hyperactivity Disorder Type: general – SubjectFull: Internet Type: general – SubjectFull: Addictive Behavior Type: general – SubjectFull: Rating Scales Type: general – SubjectFull: Symptoms (Individual Disorders) Type: general – SubjectFull: Computer Use Type: general – SubjectFull: Time Type: general – SubjectFull: China Type: general – SubjectFull: Conners Rating Scales Type: general Titles: – TitleFull: Adult Attention Deficit and Hyperactivity Disorder Symptoms and Internet Addiction in College Students: Prevalence and Differential Associations Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Wei – PersonEntity: Name: NameFull: Jiang, Xu – PersonEntity: Name: NameFull: Yang, Lu – PersonEntity: Name: NameFull: Zhu, Wanling IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 2589-949X Numbering: – Type: volume Value: 5 – Type: issue Value: 1 Titles: – TitleFull: European Journal of Psychology and Educational Research Type: main |
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