Multisource Longitudinal Network and Latent Variable Model Analyses of ADHD Symptoms in Children.

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Title: Multisource Longitudinal Network and Latent Variable Model Analyses of ADHD Symptoms in Children.
Authors: Preszler, Jonathan (AUTHOR), Burns, G. Leonard (AUTHOR), Becker, Stephen P. (AUTHOR), Servera, Mateu (AUTHOR)
Source: Journal of Clinical Child & Adolescent Psychology. Mar/Apr2022, Vol. 51 Issue 2, p211-218. 8p.
Subjects: Latent variables, Attention-deficit hyperactivity disorder, Symptoms, Mothers, Hyperactivity
Abstract: Objective: Multisource longitudinal network analysis was used to determine if between-child and within-child variance of attention-deficit/hyperactivity disorder (ADHD) symptoms provided unique findings of ADHD relative to latent variable model (LVM) analyses. Method: Mothers and fathers of 802 Spanish first-grade children (54% boys) provided ratings of ADHD symptoms at two time points six weeks apart (assessment 1: 723 mothers and 603 fathers; assessment 2: 667 mothers and 584 fathers). Network and latent variable models were applied to the ratings. Results: Inattention, hyperactivity, and mixed hyperactive/impulsive symptom communities occurred for the within- and between-children's symptom networks with the results being consistent across mothers and fathers, especially for the between-children's symptom networks. LVM analyses identified three factors with the same symptoms on each factor as in the symptom communities. These models also showed invariance across mothers and fathers as well as assessments. Conclusions: Longitudinal networks provided several useful insights for ADHD, including centrality symptoms that differed across between- and within-child levels. However, many findings were also largely consistent with the LVM analyses. Future studies should use novel methods (e.g., intensive longitudinal measurement) and analytic tools to determine if more unique theoretical and clinical findings emerge when applying network analysis to longitudinally measured ADHD symptoms. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Clinical Child & Adolescent Psychology is the property of Taylor & Francis Ltd 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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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Multisource Longitudinal Network and Latent Variable Model Analyses of ADHD Symptoms in Children.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Preszler%2C+Jonathan%22">Preszler, Jonathan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burns%2C+G%2E+Leonard%22">Burns, G. Leonard</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Becker%2C+Stephen+P%2E%22">Becker, Stephen P.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Servera%2C+Mateu%22">Servera, Mateu</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Clinical+Child+%26+Adolescent+Psychology%22">Journal of Clinical Child & Adolescent Psychology</searchLink>. Mar/Apr2022, Vol. 51 Issue 2, p211-218. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Latent+variables%22">Latent variables</searchLink><br /><searchLink fieldCode="DE" term="%22Attention-deficit+hyperactivity+disorder%22">Attention-deficit hyperactivity disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Symptoms%22">Symptoms</searchLink><br /><searchLink fieldCode="DE" term="%22Mothers%22">Mothers</searchLink><br /><searchLink fieldCode="DE" term="%22Hyperactivity%22">Hyperactivity</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: Multisource longitudinal network analysis was used to determine if between-child and within-child variance of attention-deficit/hyperactivity disorder (ADHD) symptoms provided unique findings of ADHD relative to latent variable model (LVM) analyses. Method: Mothers and fathers of 802 Spanish first-grade children (54% boys) provided ratings of ADHD symptoms at two time points six weeks apart (assessment 1: 723 mothers and 603 fathers; assessment 2: 667 mothers and 584 fathers). Network and latent variable models were applied to the ratings. Results: Inattention, hyperactivity, and mixed hyperactive/impulsive symptom communities occurred for the within- and between-children's symptom networks with the results being consistent across mothers and fathers, especially for the between-children's symptom networks. LVM analyses identified three factors with the same symptoms on each factor as in the symptom communities. These models also showed invariance across mothers and fathers as well as assessments. Conclusions: Longitudinal networks provided several useful insights for ADHD, including centrality symptoms that differed across between- and within-child levels. However, many findings were also largely consistent with the LVM analyses. Future studies should use novel methods (e.g., intensive longitudinal measurement) and analytic tools to determine if more unique theoretical and clinical findings emerge when applying network analysis to longitudinally measured ADHD symptoms. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Clinical Child & Adolescent Psychology is the property of Taylor & Francis Ltd 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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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/15374416.2020.1756297
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Attention-deficit hyperactivity disorder
        Type: general
      – SubjectFull: Symptoms
        Type: general
      – SubjectFull: Mothers
        Type: general
      – SubjectFull: Hyperactivity
        Type: general
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            NameFull: Burns, G. Leonard
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            NameFull: Becker, Stephen P.
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            NameFull: Servera, Mateu
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            – D: 01
              M: 03
              Text: Mar/Apr2022
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              Y: 2022
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