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Bullying Involvement and Subtypes of Disabilities: Who is Likely to be Affected by What?

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Title: Bullying Involvement and Subtypes of Disabilities: Who is Likely to be Affected by What?
Authors: Hong, Jun Sung (AUTHOR), Lee, Jin Hyuk (AUTHOR), Rose, Chad A. (AUTHOR), Marsack Topolewski, Christina N. (AUTHOR), Daniels, Derek E. (AUTHOR), Grmusa, Adrijana (AUTHOR)
Source: Journal of Autism & Developmental Disorders. Jan2026, Vol. 56 Issue 1, p45-55. 11p.
Subjects: Risk assessment, Juvenile offenders, Mathematical variables, Psychology of children with disabilities, Victim psychology, Secondary analysis, Questionnaires, Logistic regression analysis, Structural equation modeling, Descriptive statistics, Developmental disabilities, Intellectual disabilities, Surveys, Odds ratio, Bullying, Child development deviations, Language disorders, Research, Speech disorders, Comparative studies, Data analysis software, Learning disabilities, Children
Geographic Terms: United States
Abstract: The current study uses latent class analysis (LCA) and binary logistic regression analysis to explore profiles of bullying and how they might be associated with the types of disabilities. LCA was used to determine a categorization of involvement in bullying among youth with various types of disabilities. Binary logistic regression analysis was conducted to explore how profiles of bullying involvement might be associated with types of disabilities. The study uses the 2016 National Survey of Children's Health, a large-scale survey completed on children's health, ages 0–17, in the United States. A total of 139,923 households were screened for eligibility. The study participants consisted of 50,212 caregivers of a child who completed the survey. Findings revealed that among caregivers of children without disabilities, 79.5% reported that their child was uninvolved, and 20.5% reported that their child was a victim of bullying. Children in the developmental disabilities, speech and/or language disorders, and learning disabilities groups, showed significant odds of being in the bullying victim group compared to those without any disabilities. The study did not find that children in any disability groups were likely to be in the perpetrator group. [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
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  Data: Bullying Involvement and Subtypes of Disabilities: Who is Likely to be Affected by What?
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  Data: <searchLink fieldCode="AR" term="%22Hong%2C+Jun+Sung%22">Hong, Jun Sung</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Jin+Hyuk%22">Lee, Jin Hyuk</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rose%2C+Chad+A%2E%22">Rose, Chad A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marsack+Topolewski%2C+Christina+N%2E%22">Marsack Topolewski, Christina N.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Daniels%2C+Derek+E%2E%22">Daniels, Derek E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grmusa%2C+Adrijana%22">Grmusa, Adrijana</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Autism+%26+Developmental+Disorders%22">Journal of Autism & Developmental Disorders</searchLink>. Jan2026, Vol. 56 Issue 1, p45-55. 11p.
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  Data: The current study uses latent class analysis (LCA) and binary logistic regression analysis to explore profiles of bullying and how they might be associated with the types of disabilities. LCA was used to determine a categorization of involvement in bullying among youth with various types of disabilities. Binary logistic regression analysis was conducted to explore how profiles of bullying involvement might be associated with types of disabilities. The study uses the 2016 National Survey of Children's Health, a large-scale survey completed on children's health, ages 0–17, in the United States. A total of 139,923 households were screened for eligibility. The study participants consisted of 50,212 caregivers of a child who completed the survey. Findings revealed that among caregivers of children without disabilities, 79.5% reported that their child was uninvolved, and 20.5% reported that their child was a victim of bullying. Children in the developmental disabilities, speech and/or language disorders, and learning disabilities groups, showed significant odds of being in the bullying victim group compared to those without any disabilities. The study did not find that children in any disability groups were likely to be in the perpetrator group. [ABSTRACT FROM AUTHOR]
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  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=191290305
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10803-024-06547-4
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 45
    Subjects:
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Juvenile offenders
        Type: general
      – SubjectFull: Mathematical variables
        Type: general
      – SubjectFull: Psychology of children with disabilities
        Type: general
      – SubjectFull: Victim psychology
        Type: general
      – SubjectFull: Secondary analysis
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Structural equation modeling
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Developmental disabilities
        Type: general
      – SubjectFull: Intellectual disabilities
        Type: general
      – SubjectFull: Surveys
        Type: general
      – SubjectFull: Odds ratio
        Type: general
      – SubjectFull: Bullying
        Type: general
      – SubjectFull: Child development deviations
        Type: general
      – SubjectFull: Language disorders
        Type: general
      – SubjectFull: Research
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      – SubjectFull: Speech disorders
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      – SubjectFull: Data analysis software
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      – SubjectFull: Learning disabilities
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      – SubjectFull: Children
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      – SubjectFull: United States
        Type: general
    Titles:
      – TitleFull: Bullying Involvement and Subtypes of Disabilities: Who is Likely to be Affected by What?
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            NameFull: Hong, Jun Sung
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              Text: Jan2026
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              Y: 2026
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