Detecting Subgroups in Children Diagnosed with Pervasive Developmental Disorder - Not Otherwise Specified.

Saved in:
Bibliographic Details
Title: Detecting Subgroups in Children Diagnosed with Pervasive Developmental Disorder - Not Otherwise Specified.
Authors: Brennan, Laura, Barton, Marianne, Chen, Chi-Ming, Green, James, Fein, Deborah
Source: Journal of Autism & Developmental Disorders. May2015, Vol. 45 Issue 5, p1329-1344. 16p.
Subjects: Diagnosis of autism, Analysis of variance, Chi-squared test, Child development, Cluster analysis (Statistics), Communication, Statistical correlation, Demography, Fisher exact test, Multivariate analysis, Play, Questionnaires, Research funding, Statistics, Stereotypes, Visual perception, Data analysis, Severity of illness index, Symptoms, Autism spectrum disorders, Children, Prognosis, Diagnosis
Abstract: Hierarchical cluster analyses were used to detect three subgroups in a sample of children with pervasive developmental disorder-not otherwise specified (PDD-NOS) evaluated at ages 2 and 4. At age 2, Cluster 1 demonstrated few autism symptoms and high cognitive scores; 60 % no longer met criteria for PDD at 4. Cluster 2 exhibited more autism symptoms and lower cognitive scores at 2; 89.5 % met criteria for ASD at 4. Cluster 3 had the lowest cognitive scores and most impaired social/communication skills at 2, but no repetitive behaviors; 60 % diagnosed with Autistic Disorder at 4. Results shed light on outcomes for different PDD-NOS types and raise questions regarding the increased importance of repetitive behaviors in DSM-5. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Autism & Developmental Disorders 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.)
Database: Psychology and Behavioral Sciences Collection
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 102202076
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Detecting Subgroups in Children Diagnosed with Pervasive Developmental Disorder - Not Otherwise Specified.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Brennan%2C+Laura%22">Brennan, Laura</searchLink><br /><searchLink fieldCode="AR" term="%22Barton%2C+Marianne%22">Barton, Marianne</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Chi-Ming%22">Chen, Chi-Ming</searchLink><br /><searchLink fieldCode="AR" term="%22Green%2C+James%22">Green, James</searchLink><br /><searchLink fieldCode="AR" term="%22Fein%2C+Deborah%22">Fein, Deborah</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Autism+%26+Developmental+Disorders%22">Journal of Autism & Developmental Disorders</searchLink>. May2015, Vol. 45 Issue 5, p1329-1344. 16p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Diagnosis+of+autism%22">Diagnosis of autism</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Child+development%22">Child development</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+analysis+%28Statistics%29%22">Cluster analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Communication%22">Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Demography%22">Demography</searchLink><br /><searchLink fieldCode="DE" term="%22Fisher+exact+test%22">Fisher exact test</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Play%22">Play</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Stereotypes%22">Stereotypes</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Severity+of+illness+index%22">Severity of illness index</searchLink><br /><searchLink fieldCode="DE" term="%22Symptoms%22">Symptoms</searchLink><br /><searchLink fieldCode="DE" term="%22Autism+spectrum+disorders%22">Autism spectrum disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink><br /><searchLink fieldCode="DE" term="%22Prognosis%22">Prognosis</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis%22">Diagnosis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Hierarchical cluster analyses were used to detect three subgroups in a sample of children with pervasive developmental disorder-not otherwise specified (PDD-NOS) evaluated at ages 2 and 4. At age 2, Cluster 1 demonstrated few autism symptoms and high cognitive scores; 60 % no longer met criteria for PDD at 4. Cluster 2 exhibited more autism symptoms and lower cognitive scores at 2; 89.5 % met criteria for ASD at 4. Cluster 3 had the lowest cognitive scores and most impaired social/communication skills at 2, but no repetitive behaviors; 60 % diagnosed with Autistic Disorder at 4. Results shed light on outcomes for different PDD-NOS types and raise questions regarding the increased importance of repetitive behaviors in DSM-5. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Autism & Developmental Disorders 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=102202076
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10803-014-2295-3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 1329
    Subjects:
      – SubjectFull: Diagnosis of autism
        Type: general
      – SubjectFull: Analysis of variance
        Type: general
      – SubjectFull: Chi-squared test
        Type: general
      – SubjectFull: Child development
        Type: general
      – SubjectFull: Cluster analysis (Statistics)
        Type: general
      – SubjectFull: Communication
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
      – SubjectFull: Demography
        Type: general
      – SubjectFull: Fisher exact test
        Type: general
      – SubjectFull: Multivariate analysis
        Type: general
      – SubjectFull: Play
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Stereotypes
        Type: general
      – SubjectFull: Visual perception
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Severity of illness index
        Type: general
      – SubjectFull: Symptoms
        Type: general
      – SubjectFull: Autism spectrum disorders
        Type: general
      – SubjectFull: Children
        Type: general
      – SubjectFull: Prognosis
        Type: general
      – SubjectFull: Diagnosis
        Type: general
    Titles:
      – TitleFull: Detecting Subgroups in Children Diagnosed with Pervasive Developmental Disorder - Not Otherwise Specified.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Brennan, Laura
      – PersonEntity:
          Name:
            NameFull: Barton, Marianne
      – PersonEntity:
          Name:
            NameFull: Chen, Chi-Ming
      – PersonEntity:
          Name:
            NameFull: Green, James
      – PersonEntity:
          Name:
            NameFull: Fein, Deborah
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2015
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 01623257
          Numbering:
            – Type: volume
              Value: 45
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Journal of Autism & Developmental Disorders
              Type: main
ResultId 1