Network analysis of distress, suicidality, and resilience in a treatment seeking sample of first responders.

Autor: Ponder WN; One Tribe Foundation, Fort Worth, TX, United States of America. Electronic address: warren@1tribefoundation.org., Walters K; University of South Dakota, Department of Psychology, United States of America., Simons JS; University of South Dakota, Department of Psychology, United States of America., Simons RM; Disaster Mental Health Institute Faculty, Center for Brain and Behavior Research, Department of Psychology, University of South Dakota, 414 East Clark Street, SDU 101; Vermillion, SD 57069, United States of America., Jetelina KK; Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center, School of Public Health, Dallas, TX, United States of America., Carbajal J; Stephen F. Austin State University, Nacogdoches, Texas, United States of America.
Jazyk: angličtina
Zdroj: Journal of affective disorders [J Affect Disord] 2023 Jan 01; Vol. 320, pp. 742-750. Date of Electronic Publication: 2022 Sep 28.
DOI: 10.1016/j.jad.2022.09.097
Abstrakt: Introduction: First responders are routinely and regularly exposed to traumatic events that can clinically manifest with a symptom constellation of posttraumatic stress disorder (PTSD), generalized anxiety, depression, and suicidality.
Methods: We used network analysis to examine baseline data from treatment seeking first responders (n = 308) to examine the interrelatedness of those constructs, including a measure of resilience. We estimated two models: a regularized partial correlation network and a Bayesian Directed Acyclic Graph (DAG).
Results: The models reveal converging evidence highlighting the central role of negative alterations in cognitions and mood PTSD cluster along with affective depression. These nodes did not significantly differ, though they were among the strongest in the partial correlation network and shared the most variance with the other nodes. The DAG results suggested that the negative alterations in cognitions and mood PTSD cluster predicted downstream constructs of affective depression; intrusion, hyperarousal, and avoidance PTSD clusters; and resilience. Only resilience and affective depression exhibited direct effects on suicidality. Both somatic depression and suicidality were endogenous endpoints in the DAG. Resilience exhibited an inverse path to suicide. However, resilience was relatively independent of the other constructs in the models and the DAG suggested that it was a consequence of PTSD related distress.
Limitations: The data is cross-sectional in nature that should be followed up in longitudinal studies.
Conclusion: Findings are discussed in respect to the role of distress and emotional dysregulation as common factors underlying a broad range of internalizing problems.
Competing Interests: Conflict of interest None.
(Copyright © 2022 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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