The variance shared across forms of childhood trauma is strongly associated with liability for psychiatric and substance use disorders
Year: 2016
Type: article
Abstract: INTRODUCTION: Forms of childhood trauma tend to co-occur and are associated with increased risk for psychiatric and substance use disorders. Commonly used binary measures of trauma exposure have substantial limitations. METHODS: We performed multigroup confirmatory factor analysis (CFA), separately by sex, using data from the Childhood Trauma (CT) Study's sample of twins and siblings (N = 2594) to derive three first-order factors (childhood physical abuse, childhood sexual abuse, and parental partner abuse) and, as hypothesized, one higher order, childhood trauma factor (CTF) representing a measure of their common variance. RESULTS: CFA produced a good-fitting model in the CT Study; we replicated the model in the Comorbidity and Trauma (CAT) Study's sample (N = 1981) of opioid-dependent cases and controls. In both samples, first-order factors are moderately correlated (indicating they measure largely unique, but related constructs) and their loadings on the CTF suggest it provides a reasonable measure of their common variance. We examined the association of CTF score with risk for psychiatric and substance use disorders in these samples and the OZ-ALC GWAS sample (N = 1538) in which CT Study factor loadings were applied. We found that CTF scores are strongly associated with liability for psychiatric and substance use disorders in all three samples; estimates of risk are extremely consistent across samples. CONCLUSIONS: The CTF is a continuous, robust measure that captures the common variance across forms of childhood trauma and provides a means to estimate shared liability while avoiding multicollinearity.
Source: Brain and Behavior
DOI: 10.1002/brb3.432
Language: English
Topic: Child Abuse and Trauma
Subfield: Clinical Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,630
Funders: ABMRF/The Foundation for Alcohol Research, Australian Government, National Institutes of Health, Medical Research Council, National Health and Medical Research Council, National Drug and Alcohol Research Centre, National Institute on Alcohol Abuse and Alcoholism, National Institute on Drug Abuse
Awards: G129414216, The Genetics of Vulnerability to Nicotine Addictions, G1498031517, G1811656938, G2050042542, G2209209622, G2328879485, G238373470, Childhood Trauma, Parental Alcoholism,and Comorbidity, G2561471519, G2741066797, G2866984321, Assessing the population health impact of illicit drug use: prevalence, trajectories, and contributions to disease burden, G3030251630, G3060666555, G3311744809, MARC: Genetic Epidemiology of Alcoholism & Comorbidity, RESEARCH EDUCATION PROGRAM ON COMPUTATIONAL AND STATISTICAL TOOL DEVELOPMENT FOR ADDICTION GENETICS, G4217546565, GENETIC AND EPIDEMIOLOGICAL MODELS OF ALCOHOL ABUSE, G4471409110, Molecular Epidemiology of Alcoholism 1: Candidate Gene, G4836680773, G5522237854, G6037094575, G6129226368, Alcoholism: Epidemiologic High Risk Family Study - MOFAM, G688335393, Uncoupled Research Fellowship, Predictors of Alcohol Recovery and Relapse Among Female Drunk Drivers, G7428295059, G8811263028, G9000154965, G9000248262
OpenAlex ID: W2294640226
