View in EDS HTML Full Text PDF Full Text

Developing Empirical Latent Profiles of Impulsive Aggression and Mood in Youths across Three Outpatient Samples.

Saved in:
Bibliographic Details
Title: Developing Empirical Latent Profiles of Impulsive Aggression and Mood in Youths across Three Outpatient Samples.
Authors: Youngstrom, Eric A. (AUTHOR), Young, Andrea S. (AUTHOR), Van Eck, Katherine (AUTHOR), Stepanova, Ekaterina (AUTHOR), Langfus, Joshua A. (AUTHOR), Carlson, Gabrielle (AUTHOR), Findling, Robert L. (AUTHOR)
Source: Journal of Clinical Child & Adolescent Psychology. Mar/Apr2023, Vol. 52 Issue 2, p196-211. 16p.
Subjects: Affective disorders, Aggression (Psychology), Mental depression, Demographic characteristics, Characteristic functions, Hypomania
Abstract: Aggression with impulsivity and reactivity (AIR) may distinguish a subset of youth from those with attention problems, rule-breaking behavior, or mood disorders, potentially with differential treatment response. Yet, DSM-5 and ICD-10 do not include an AIR diagnosis. Thus, we empirically grouped youths into profiles based on AIR, manic, depressive, rule-breaking, and self-harm behaviors; examined which profiles replicated across three samples; and characterized profile sets on demographic and clinical features. After harmonizing data from three samples (n = 679, n = 392, n = 634), Latent Profile Analysis (LPA) assigned youth to profiles based on caregiver-reported measures of AIR, manic, depressive, rule-breaking, and self-harm behaviors. Profiles from each sample were grouped into sets based on profile similarity. Analyses tested differences in diagnoses, sex, and race, age, functioning, and mood severity. Eight-profile solutions fit best. Seven profiles replicated across samples: high AIR and self-harm, lower depressive and manic scores; high AIR, manic symptoms, and self-harm; high depression symptoms; three smaller sets with high manic and depressive symptoms and moderate AIR; and two high rates of bipolar diagnoses and family bipolar history. Two sets were high on both AIR and mood symptoms, were the most impaired, and had the highest comorbidity. Analyses support an empirical definition of AIR, separate from mood disorders. Profile sets distinguished by level of AIR and mood symptoms differed in demographic and diagnostic characteristics as well as functioning. Importantly, a set emerged with high AIR but low mood indicators and with high rates of ADHD and ODD, but not mood disorder. [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.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 162202393
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Developing Empirical Latent Profiles of Impulsive Aggression and Mood in Youths across Three Outpatient Samples.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Youngstrom%2C+Eric+A%2E%22">Youngstrom, Eric A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Young%2C+Andrea+S%2E%22">Young, Andrea S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Van+Eck%2C+Katherine%22">Van Eck, Katherine</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stepanova%2C+Ekaterina%22">Stepanova, Ekaterina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Langfus%2C+Joshua+A%2E%22">Langfus, Joshua A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Carlson%2C+Gabrielle%22">Carlson, Gabrielle</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Findling%2C+Robert+L%2E%22">Findling, Robert L.</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Clinical+Child+%26+Adolescent+Psychology%22">Journal of Clinical Child & Adolescent Psychology</searchLink>. Mar/Apr2023, Vol. 52 Issue 2, p196-211. 16p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Affective+disorders%22">Affective disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Aggression+%28Psychology%29%22">Aggression (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Demographic+characteristics%22">Demographic characteristics</searchLink><br /><searchLink fieldCode="DE" term="%22Characteristic+functions%22">Characteristic functions</searchLink><br /><searchLink fieldCode="DE" term="%22Hypomania%22">Hypomania</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Aggression with impulsivity and reactivity (AIR) may distinguish a subset of youth from those with attention problems, rule-breaking behavior, or mood disorders, potentially with differential treatment response. Yet, DSM-5 and ICD-10 do not include an AIR diagnosis. Thus, we empirically grouped youths into profiles based on AIR, manic, depressive, rule-breaking, and self-harm behaviors; examined which profiles replicated across three samples; and characterized profile sets on demographic and clinical features. After harmonizing data from three samples (n = 679, n = 392, n = 634), Latent Profile Analysis (LPA) assigned youth to profiles based on caregiver-reported measures of AIR, manic, depressive, rule-breaking, and self-harm behaviors. Profiles from each sample were grouped into sets based on profile similarity. Analyses tested differences in diagnoses, sex, and race, age, functioning, and mood severity. Eight-profile solutions fit best. Seven profiles replicated across samples: high AIR and self-harm, lower depressive and manic scores; high AIR, manic symptoms, and self-harm; high depression symptoms; three smaller sets with high manic and depressive symptoms and moderate AIR; and two high rates of bipolar diagnoses and family bipolar history. Two sets were high on both AIR and mood symptoms, were the most impaired, and had the highest comorbidity. Analyses support an empirical definition of AIR, separate from mood disorders. Profile sets distinguished by level of AIR and mood symptoms differed in demographic and diagnostic characteristics as well as functioning. Importantly, a set emerged with high AIR but low mood indicators and with high rates of ADHD and ODD, but not mood disorder. [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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=162202393
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/15374416.2021.1929251
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 196
    Subjects:
      – SubjectFull: Affective disorders
        Type: general
      – SubjectFull: Aggression (Psychology)
        Type: general
      – SubjectFull: Mental depression
        Type: general
      – SubjectFull: Demographic characteristics
        Type: general
      – SubjectFull: Characteristic functions
        Type: general
      – SubjectFull: Hypomania
        Type: general
    Titles:
      – TitleFull: Developing Empirical Latent Profiles of Impulsive Aggression and Mood in Youths across Three Outpatient Samples.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Youngstrom, Eric A.
      – PersonEntity:
          Name:
            NameFull: Young, Andrea S.
      – PersonEntity:
          Name:
            NameFull: Van Eck, Katherine
      – PersonEntity:
          Name:
            NameFull: Stepanova, Ekaterina
      – PersonEntity:
          Name:
            NameFull: Langfus, Joshua A.
      – PersonEntity:
          Name:
            NameFull: Carlson, Gabrielle
      – PersonEntity:
          Name:
            NameFull: Findling, Robert L.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar/Apr2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 15374416
          Numbering:
            – Type: volume
              Value: 52
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of Clinical Child & Adolescent Psychology
              Type: main
ResultId 1