Relationship Between Adverse Childhood Experience Survey Items and Psychiatric Disorders.

Autor: Cawthorpe, David, Marriott, Brian, Paget, Jaime, Moulai, Iraj, Cheung, Sandra
Předmět:
Zdroj: Permanente Journal; Fall2018, Vol. 22 Issue 4, p1-5, 5p
Abstrakt: Context: Developmental psychopathology theory suggests a relationship between early childhood adversity and mental disorder. Objective: To examine the relationship between the specific items on the Adverse Childhood Experiences (ACE) survey and the International Classification of Diseases, Tenth Revision (ICD-10) categories of psychiatric diagnoses in a pediatric sample. Design: The sample included patients enrolled in the Child and Adolescent Addiction Mental Health and Psychiatry Program with both a completed ACE survey and at least 1 diagnosis of record (per admission). These criteria yielded 2 samples for each sex (ACE survey item frequencies and values in collapsed and multiple-admission groups). Data were analyzed employing tetrachoric correlation, hierarchical regression, and polychoric factor analysis. Results: Hierarchical regression analysis identified tha t ICD-10 diagnostic categories, except for substance disorders, were not consistently related to ACE total score and tended to reduce the magnitude of the ACE total score in the multiple-admission group. Tetrachoric correlation revealed very low (< 0.4) positive and negative correlations between ICD-10 categories and ACE items in both multiple-admission and collapsed sample groups. Polychoric factor analysis indicated that the ACE survey items and the ICD-10 categories for both sexes were independent, with only the diagnostic ICD-10 category substance disorders being marginally associated with the ACE items factor for females. Conclusion: The nominal relationship between ACE items and ICD-10 diagnostic categories indicates the need to include ACE assessment in advance of differential diagnosis and implementation of conventional mental health interventions for children and adolescents. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index