Development of a composite trauma exposure risk index
| Autor: | Hector F. Myers, Nicole Prause, Muyu Zhang, John K. Williams, Erica Marchand, Tamra Burns Loeb, Dorothy Chin, Gail E. Wyatt, Honghu Liu, Teri D. Davis |
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| Rok vydání: | 2015 |
| Předmět: |
Male
Child abuse Intimate Partner Violence Poison control Suicide prevention Occupational safety and health Stress Disorders Post-Traumatic mental health screening Psychology Mass Screening Child Abuse Stress Disorders Exposure to Violence Depression Adult Survivors of Child Abuse Statistical Middle Aged Psychiatry and Mental health Clinical Psychology Mental Health Cognitive Sciences Female Risk assessment Factor Analysis Clinical psychology Adult medicine.medical_specialty Adolescent ethnic minorities Psychological Trauma Risk Assessment Sensitivity and Specificity Article primary care Young Adult Racism trauma exposure medicine Humans Psychiatry Mass screening Aged Psychiatric Status Rating Scales Depressive Disorder Sexual Business and Management Child Abuse Sexual Mental health Sexual abuse Post-Traumatic Factor Analysis Statistical |
| Zdroj: | Liu, H; Prause, N; Wyatt, GE; Williams, JK; Chin, D; Davis, T; et al.(2015). Development of a composite trauma exposure risk index. Psychological Assessment, 27(3), 965-974. doi: 10.1037/pas0000069. UCLA: Retrieved from: http://www.escholarship.org/uc/item/47r3z0q5 Psychological assessment, vol 27, iss 3 |
| ISSN: | 1939-134X 1040-3590 |
| Popis: | © 2015 American Psychological Association. The high burden of exposure to chronic life adversities and trauma is quite prevalent, but assessment of this risk burden is uncommon in primary care settings. This calls for a brief, multiple dimensional mental health risk screening tool in primary care settings. We aimed to develop such a screening tool named the University of California, Los Angeles (UCLA) Life Adversities Screener (LADS). Using pooled data across 4 studies from the UCLA Center for Culture, Trauma, and Mental Health Disparities, 5 domains of mental health risk including perceived discrimination, sexual abuse histories, family adversity, intimate partner violence, and trauma histories, were identified. Regression models for depression (Centers for Epidemiology Studies Depression Scale) and posttraumatic stress disorder (Posttraumatic Diagnostic Scale), controlling for demographic factors, were fitted to develop a weighted continuous scale score for the UCLA LADS. Confirmatory factor analysis supported the 5-domain structure, while item response theory endorsed the inclusion of each item. Receiver operating characteristic analysis indicated that the score was predictive for classifying subjects as reaching clinical threshold criteria for either depression (Beck Depression Inventory-II ≥ 14 or Patient Health Questionnaire-9 ≥ 10) or anxiety (Patient Health Questionnaire-13 ≥10). An optimal cut of 0.33 is suggested based on maximizing sensitivity and specificity of the LADS score, identifying patients at high risk for mental health problems. Given its predictive utility and ease of administration, the UCLA LADS could be useful as a screener to identify racial minority individuals in primary care settings who have a high trauma burden, needing more extensive evaluation. |
| Databáze: | OpenAIRE |
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