Problematic internet use as an age-related multifaceted problem: Evidence from a two-site survey
Problematic internet use as an age-related multifaceted problem: Evidence from a two-site survey
Background and aims: Problematic internet use (PIU; otherwise known as Internet Addiction) is a growing problem in modern societies. There is scarce knowledge of the demographic variables and specific internet activities associated with PIU and a limited understanding of how PIU should be conceptualized. Our aim was to identify specific internet activities associated with PIU and explore the moderating role of age and gender in those associations. Methods: We recruited 1749 participants aged 18 and above via media advertisements in an Internet-based survey at two sites, one in the US, and one in South Africa; we utilized Lasso regression for the analysis. Results: Specific internet activities were associated with higher problematic internet use scores, including general surfing (lasso β: 2.1), internet gaming (β: 0.6), online shopping (β: 1.4), use of online auction websites (β: 0.027), social networking (β: 0.46) and use of online pornography (β: 1.0). Age moderated the relationship between PIU and role-playing-games (β: 0.33), online gambling (β: 0.15), use of auction websites (β: 0.35) and streaming media (β: 0.35), with older age associated with higher levels of PIU. There was inconclusive evidence for gender and gender × internet activities being associated with problematic internet use scores. Attention-deficit hyperactivity disorder (ADHD) and social anxiety disorder were associated with high PIU scores in young participants (age ≤ 25, β: 0.35 and 0.65 respectively), whereas generalized anxiety disorder (GAD) and obsessive-compulsive disorder (OCD) were associated with high PIU scores in the older participants (age > 55, β: 6.4 and 4.3 respectively). Conclusions: Many types of online behavior (e.g. shopping, pornography, general surfing) bear a stronger relationship with maladaptive use of the internet than gaming supporting the diagnostic classification of problematic internet use as a multifaceted disorder. Furthermore, internet activities and psychiatric diagnoses associated with problematic internet use vary with age, with public health implications.
Behavioral addiction, Internet addiction, Internet gaming disorder, Lasso, Machine learning, Problematic internet use
157-166
Ioannidis, Konstantinos
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Treder, Matthias S.
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Chamberlain, Samuel R.
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Kiraly, Franz
e98cef70-4d86-4b1a-9b05-d2e6a9f69a6a
Redden, Sarah A.
f2109178-7158-46c7-971f-4a602a3adf59
Stein, Dan J.
07cf0cbd-837d-49ac-aceb-1c393a2f3e00
Lochner, Christine
8e428f81-855d-467b-9805-49e387f66683
Grant, Jon E.
07372bd5-8a0d-42b4-b41b-e376c652acf3
SU/UCT MRC Unit on Risk and Resilience in Mental Disorders
June 2018
Ioannidis, Konstantinos
0dfc1d89-41be-4d02-ae50-698117e80141
Treder, Matthias S.
48260d27-8260-47a7-a688-d312a76adada
Chamberlain, Samuel R.
8a0e09e6-f51f-4039-9287-88debe8d8b6f
Kiraly, Franz
e98cef70-4d86-4b1a-9b05-d2e6a9f69a6a
Redden, Sarah A.
f2109178-7158-46c7-971f-4a602a3adf59
Stein, Dan J.
07cf0cbd-837d-49ac-aceb-1c393a2f3e00
Lochner, Christine
8e428f81-855d-467b-9805-49e387f66683
Grant, Jon E.
07372bd5-8a0d-42b4-b41b-e376c652acf3
Ioannidis, Konstantinos, Treder, Matthias S. and Chamberlain, Samuel R.
,
SU/UCT MRC Unit on Risk and Resilience in Mental Disorders
(2018)
Problematic internet use as an age-related multifaceted problem: Evidence from a two-site survey.
Addictive Behaviors, 81 (6), .
(doi:10.1016/j.addbeh.2018.02.017).
Abstract
Background and aims: Problematic internet use (PIU; otherwise known as Internet Addiction) is a growing problem in modern societies. There is scarce knowledge of the demographic variables and specific internet activities associated with PIU and a limited understanding of how PIU should be conceptualized. Our aim was to identify specific internet activities associated with PIU and explore the moderating role of age and gender in those associations. Methods: We recruited 1749 participants aged 18 and above via media advertisements in an Internet-based survey at two sites, one in the US, and one in South Africa; we utilized Lasso regression for the analysis. Results: Specific internet activities were associated with higher problematic internet use scores, including general surfing (lasso β: 2.1), internet gaming (β: 0.6), online shopping (β: 1.4), use of online auction websites (β: 0.027), social networking (β: 0.46) and use of online pornography (β: 1.0). Age moderated the relationship between PIU and role-playing-games (β: 0.33), online gambling (β: 0.15), use of auction websites (β: 0.35) and streaming media (β: 0.35), with older age associated with higher levels of PIU. There was inconclusive evidence for gender and gender × internet activities being associated with problematic internet use scores. Attention-deficit hyperactivity disorder (ADHD) and social anxiety disorder were associated with high PIU scores in young participants (age ≤ 25, β: 0.35 and 0.65 respectively), whereas generalized anxiety disorder (GAD) and obsessive-compulsive disorder (OCD) were associated with high PIU scores in the older participants (age > 55, β: 6.4 and 4.3 respectively). Conclusions: Many types of online behavior (e.g. shopping, pornography, general surfing) bear a stronger relationship with maladaptive use of the internet than gaming supporting the diagnostic classification of problematic internet use as a multifaceted disorder. Furthermore, internet activities and psychiatric diagnoses associated with problematic internet use vary with age, with public health implications.
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Accepted/In Press date: 10 February 2018
Published date: June 2018
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© 2018
Keywords:
Behavioral addiction, Internet addiction, Internet gaming disorder, Lasso, Machine learning, Problematic internet use
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Local EPrints ID: 492981
URI: http://eprints.soton.ac.uk/id/eprint/492981
ISSN: 0306-4603
PURE UUID: 1a7d9948-de08-40a3-a47e-b560f77b7042
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Date deposited: 21 Aug 2024 17:06
Last modified: 30 Aug 2024 02:00
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Contributors
Author:
Konstantinos Ioannidis
Author:
Matthias S. Treder
Author:
Samuel R. Chamberlain
Author:
Franz Kiraly
Author:
Sarah A. Redden
Author:
Dan J. Stein
Author:
Christine Lochner
Author:
Jon E. Grant
Corporate Author: SU/UCT MRC Unit on Risk and Resilience in Mental Disorders
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