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Predictors of Mental Health Diagnoses Among Youth in Psychiatric Residential Care: A Retrospective Case Record Analysis.
- Source :
-
Child & Adolescent Social Work Journal . Aug2022, Vol. 39 Issue 4, p425-435. 11p. - Publication Year :
- 2022
-
Abstract
- In this study the relation between familial risk factors and maltreatment types and mental health diagnoses among youth in residential care were examined. Using data from a larger study, six separate hierarchical logistic regression models were specified using family risk factors and maltreatment type to predict risk for attention deficit hyperactivity disorder (ADHD), conduct disorder, generalized anxiety disorder, post-traumatic stress disorder (PTSD), reactive attachment disorder, and major depressive disorder. The results show that, for this population, demographic characteristics are more predictive of diagnoses compared to family risk factors and maltreatment. Specifically, age and gender significantly predicted four out of the six diagnoses. Maltreatment types were associated with two diagnoses, ADHD and PTSD. Findings from this study suggest residential treatment programs should include person-centered treatment plans considering demographics and maltreatment experiences. [ABSTRACT FROM AUTHOR]
- Subjects :
- *PREVENTION of child abuse
*PSYCHIATRIC diagnosis
*MENTAL illness genetics
*MENTAL illness risk factors
*REACTIVE attachment disorder
*AGE distribution
*RETROSPECTIVE studies
*REGRESSION analysis
*POST-traumatic stress disorder
*PATIENT-centered care
*RISK assessment
*ATTENTION-deficit hyperactivity disorder
*BEHAVIOR disorders in children
*SEX distribution
*RESIDENTIAL care
*MENTAL depression
*LOGISTIC regression analysis
*STATISTICAL models
*GENERALIZED anxiety disorder
*PREDICTION models
*PSYCHIATRIC treatment
*ADOLESCENCE
Subjects
Details
- Language :
- English
- ISSN :
- 07380151
- Volume :
- 39
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Child & Adolescent Social Work Journal
- Publication Type :
- Academic Journal
- Accession number :
- 158277133
- Full Text :
- https://doi.org/10.1007/s10560-020-00728-7