@article{ref1,
title="Do latent profiles of self-reported anxiety, depression, and PTSD map onto clinician ratings? An examination with intimate partner violence survivors",
journal="Journal of anxiety disorders",
year="2023",
author="Woodward, Matthew J. and Griffith, Elizabeth L. and Free, Bre'Anna L. and Bowen, Mya E. and Majeed, Rimsha and Beyer, Melissa S. and Beck, J. Gayle",
volume="101",
number="",
pages="e102806-e102806",
abstract="OBJECTIVE: Studies exploring latent profiles of mental health in trauma survivors have largely relied on self-report, making it unclear whether these patterns correspond with clinician-assessed psychopathology. The purpose of the current study was to examine latent profiles of self-reported PTSD, depression, and anxiety in a sample of 387 women who had experienced intimate partner violence (IPV) and investigate whether profiles mapped onto clinician-rated measures of the same outcomes. <br><br>METHOD: Participants completed a series of semi-structured interviews and self-report measures assessing PTSD, depression, and anxiety. <br><br>RESULTS: Latent profile analyses revealed a 3-profile solution characterized by Low (22.48 %), Moderate (37.98 %), and High (39.53 %) self-reported symptomology. Clinician ratings were significant predictors of membership in the low vs. moderate vs. high symptomology profiles. However, normalized means showed discrepancies between self-report and clinician assessment regarding which issue was rated most severe. <br><br>CONCLUSIONS: Results suggest that while latent modeling approaches relying on self-report may adequately approximate common underlying patterns of psychopathology, they have limitations in identifying which disorders are most salient for clinical intervention.<p /> <p>Language: en</p>",
language="en",
issn="0887-6185",
doi="10.1016/j.janxdis.2023.102806",
url="http://dx.doi.org/10.1016/j.janxdis.2023.102806"
}