Trajectories of Problem Behaviors and Information Technology Use Among Adolescents: A Latent Growth Model Using the Korean Children and Youth Panel Survey.

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Title: Trajectories of Problem Behaviors and Information Technology Use Among Adolescents: A Latent Growth Model Using the Korean Children and Youth Panel Survey.
Authors: Choe, Chung (AUTHOR), Yu, Seunghee (AUTHOR)
Source: Child Psychiatry & Human Development. Jun2026, Vol. 57 Issue 3, p717-730. 14p.
Subjects: Information technology, Mental depression, Delinquent behavior, Digital technology, Attention-deficit hyperactivity disorder, Growth curves (Statistics), Koreans, Teenagers
Abstract: We investigated the association between computer and mobile phone online activities and adolescents' problem behaviors (e.g., depressive symptoms, withdrawal, somatic complaints, attention deficit, and aggression) using data from the Korean Children and Youth Panel Survey and latent growth model analysis. The results demonstrated that text-related activities lowered withdrawal and attention deficit. Higher use of online communities or personal websites was associated with higher depressive symptoms, withdrawal, somatic symptoms, and aggression. Online gaming increased both attention deficit' initial value and its decrease rate. Taking photos decreased withdrawal. Watching videos increased depressive symptoms, withdrawal, and attention deficit. Listening to music lowered attention deficit' initial value and somatic symptoms' decrease rate. Accessing adult websites increased attention deficit and aggression. Educational information searches reduced attention deficit and aggression. Online transactions increased somatic symptoms. This study indicates that adolescents' problem behaviors may appear differently depending on the type of information technology use. [ABSTRACT FROM AUTHOR]
Copyright of Child Psychiatry & Human Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Trajectories of Problem Behaviors and Information Technology Use Among Adolescents: A Latent Growth Model Using the Korean Children and Youth Panel Survey.
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  Data: <searchLink fieldCode="AR" term="%22Choe%2C+Chung%22">Choe, Chung</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Seunghee%22">Yu, Seunghee</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Child+Psychiatry+%26+Human+Development%22">Child Psychiatry & Human Development</searchLink>. Jun2026, Vol. 57 Issue 3, p717-730. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Delinquent+behavior%22">Delinquent behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Attention-deficit+hyperactivity+disorder%22">Attention-deficit hyperactivity disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Growth+curves+%28Statistics%29%22">Growth curves (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Koreans%22">Koreans</searchLink><br /><searchLink fieldCode="DE" term="%22Teenagers%22">Teenagers</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We investigated the association between computer and mobile phone online activities and adolescents' problem behaviors (e.g., depressive symptoms, withdrawal, somatic complaints, attention deficit, and aggression) using data from the Korean Children and Youth Panel Survey and latent growth model analysis. The results demonstrated that text-related activities lowered withdrawal and attention deficit. Higher use of online communities or personal websites was associated with higher depressive symptoms, withdrawal, somatic symptoms, and aggression. Online gaming increased both attention deficit' initial value and its decrease rate. Taking photos decreased withdrawal. Watching videos increased depressive symptoms, withdrawal, and attention deficit. Listening to music lowered attention deficit' initial value and somatic symptoms' decrease rate. Accessing adult websites increased attention deficit and aggression. Educational information searches reduced attention deficit and aggression. Online transactions increased somatic symptoms. This study indicates that adolescents' problem behaviors may appear differently depending on the type of information technology use. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Child Psychiatry & Human Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10578-024-01736-9
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Mental depression
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      – SubjectFull: Delinquent behavior
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      – SubjectFull: Digital technology
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      – SubjectFull: Attention-deficit hyperactivity disorder
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      – SubjectFull: Growth curves (Statistics)
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      – SubjectFull: Koreans
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      – SubjectFull: Teenagers
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              M: 06
              Text: Jun2026
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              Y: 2026
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