Trait-level non-clinical ADHD symptoms in a community sample and their association with technology addictions
Authors: Aydin, T., Parris, B.A., Arabaci, G., Kilintari, M. and Taylor, J.
Journal: Current Psychology
Volume: 43
Issue: 12
Pages: 10682-10692
eISSN: 1936-4733
ISSN: 1046-1310
DOI: 10.1007/s12144-023-05203-x
Abstract:An increasing number of studies have reported the existence of ADHD symptoms to be risk factors for technology addictions among young adults. In contrast to previous studies, the aim of the present study was to examine different dimensions of technology addiction in a community sample of adults and to examine their association with the individual trait-level ADHD symptoms of inattention and hyperactivity-impulsivity. A community sample of one hundred and fifty adults were recruited to participate in this study via convenience sampling. Participants completed the Adult ADHD Self-Report Scale Symptom Checklist, the Bergen Social Media Addiction Scale, the Smartphone Addiction Scale, Young’s Internet Addiction Test, the Compulsive Online Shopping Scale, and a Demographic Information Form. Composite ADHD score, inattention and hyperactivity/impulsivity were positively associated with technology addictions (internet, social media, smartphone, and online shopping addiction). Hierarchical regression analysis revealed inattention and hyperactivity-impulsivity were predictors of social media addiction and smartphone addiction, whereas they were not for online shopping addiction. Furthermore, inattention was the only predictor of internet addiction. People with non-clinical, trait-level ADHD, especially those showing a preponderance of inattention symptoms appear to be more vulnerable to developing some forms of technology addiction.
https://eprints.bournemouth.ac.uk/39029/
Source: Scopus
Trait-level non-clinical ADHD symptoms in a community sample and their association with technology addictions
Authors: Aydin, T., Parris, B.A., Arabaci, G., Kilintari, M. and Taylor, J.
Journal: CURRENT PSYCHOLOGY
Volume: 43
Issue: 12
Pages: 10682-10692
eISSN: 1936-4733
ISSN: 1046-1310
DOI: 10.1007/s12144-023-05203-x
https://eprints.bournemouth.ac.uk/39029/
Source: Web of Science (Lite)
Trait-level non-clinical ADHD symptoms in a community sample and their association with technology addictions
Authors: Aydin, T., Parris, B.A., Arabaci, G., Kilintari, M. and Taylor, J.
Journal: CURRENT PSYCHOLOGY
Volume: 43
Issue: 12
Pages: 10682-10692
eISSN: 1936-4733
ISSN: 1046-1310
DOI: 10.1007/s12144-023-05203-x
https://eprints.bournemouth.ac.uk/39029/
Source: Web of Science (Lite)
Trait-level non-clinical ADHD symptoms in a community sample and their association with technology addictions
Authors: Aydin, T., Parris, B., Arabaci, G., Kilintari, M. and Taylor, J.
Journal: Current Psychology
Publisher: Springer Nature
ISSN: 1046-1310
DOI: 10.1007/s12144-023-05203-x
https://eprints.bournemouth.ac.uk/39029/
Source: Manual
Trait-level non-clinical ADHD symptoms in a community sample and their association with technology addictions
Authors: Aydin, T., Parris, B.A., Arabaci, G., Kilintari, M. and Taylor, J.
Journal: Current Psychology
Publisher: Springer Nature
ISSN: 1046-1310
Abstract:An increasing number of studies have reported the existence of ADHD symptoms to be risk factors for technology addictions among young adults. In contrast to previous studies, the aim of the present study was to examine different dimensions of technology addiction in a community sample of adults and to examine their association with the individual trait-level ADHD symptoms of inattention and hyperactivity-impulsivity. A community sample of one hundred and fifty adults were recruited to participate in this study via convenience sampling. Participants completed the Adult ADHD Self-Report Scale Symptom Checklist, the Bergen Social Media Addiction Scale, the Smartphone Addiction Scale, Young’s Internet Addiction Test, the Compulsive Online Shopping Scale, and a Demographic Information Form. Composite ADHD score, inattention and hyperactivity/impulsivity were positively associated with technology addictions (internet, social media, smartphone, and online shopping addiction). Hierarchical regression analysis revealed inattention and hyperactivity-impulsivity were predictors of social media addiction and smartphone addiction, whereas they were not for online shopping addiction. Furthermore, inattention was the only predictor of internet addiction. People with non-clinical, trait-level ADHD, especially those showing a preponderance of inattention symptoms appear to be more vulnerable to developing some forms of technology addiction.
https://eprints.bournemouth.ac.uk/39029/
Source: BURO EPrints