Network analysis of posttraumatic stress disorder in a treatment-seeking sample of US firefighters and emergency medical technicians

  • Emily Beattie
  • , Katharine Thomas
  • , Warren N. Ponder
  • , Eric C. Meyer
  • , Nathan A. Kimbrel
  • , Claire Cammarata
  • , Elizabeth Coe
  • , Michelle L. Pennington
  • , Angelo Sacco
  • , Brian Nee
  • , Frank Leto
  • , William Ostiguy
  • , R. Andrew Yockey
  • , Jose Carbajal
  • , Donna L. Schuman
  • , Suzy B. Gulliver

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: First responders, like firefighters and EMTs, face high stress due to regular exposure to traumatic events. To provide effective treatment, understanding the relationship between PTSD symptoms is essential.

METHOD: A study with 342 treatment-seeking firefighters/EMTs was done using a partial correlation network analysis of an eight-factor model. A Bayesian directed acyclic graph was utilized to estimate the causal relationships between symptom clusters.

RESULTS: About 37% of the participants showed probable PTSD signs. The strongest connections were between internal and external re-experiencing. The Bayesian graph indicated that internal re-experiencing might predict other PTSD symptoms such as external re-experiencing, negative feelings, dysphoric arousal, and avoidance.

LIMITATIONS: The study's participants were seeking treatment, so the results might not be applicable to all firefighters/EMTs.

CONCLUSIONS: The findings reinforce previous research highlighting the significant role of re-experiencing in PTSD development and persistence. Further studies should explore non-treatment-seeking first responders and consider firefighters and EMTs separately.
Original languageEnglish
Pages (from-to)686-693
Number of pages8
JournalJournal of Affective Disorders
Volume340
DOIs
StatePublished - Nov 1 2023

ASJC Scopus Subject Areas

  • Clinical Psychology
  • Psychiatry and Mental health

Keywords

  • Emergency medical service
  • Emergency medical technicians
  • Firefighters
  • First responder
  • Network analysis
  • Posttraumatic stress

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