From the One Tribe Foundation, Fort Worth, Texas (W.N.P.); Stephen F. Austin State University (J.C.); University of Central Florida (J.W.); University of Texas at Arlington (D.L.S.); Private Practice, Dallas Texas (J.M.G.); and University of North Texas Health Science Center (A.Y.).
J Occup Environ Med. 2023 Apr 1;65(4):321-329. doi: 10.1097/JOM.0000000000002750. Epub 2022 Nov 9.
To identify the predictors of suicide for firefighters (FFs), emergency medical technicians (EMTs), and law enforcement officers (LEOs).
We used baseline data from FFs/EMTs (n = 69) and LEOs (n = 81) to investigate the unique predictors for both first-responder subtypes. We conducted confirmatory factor analysis on validated assessments of posttraumatic stress disorder (PTSD) and depression. Measures of attachment, resilience, PTSD, depression, generalized anxiety, trauma history, and substance use were the independent variables in two backward stepwise regressions predicting suicide.
Substance use and somatic depression were significant predictors for LEOs, whereas affective depression, anhedonia, externalizing behaviors, trauma history, and generalized anxiety were significant predictors for FFs/EMTs.
These data are cross-sectional and should be modeled longitudinally over the course of treatment.
Separate constructs influence suicide for LEOs and FFs/EMTs.
确定消防员（FFs）、急救医疗技术员（EMTs）和执法人员（LEOs）自杀的预测因素。
我们使用 FFs/EMTs（n=69）和 LEOs（n=81）的基线数据，调查这两种一线响应者亚类的独特预测因素。我们对创伤后应激障碍（PTSD）和抑郁的经过验证的评估进行了验证性因素分析。依恋、韧性、PTSD、抑郁、广泛性焦虑、创伤史和物质使用是两个向后逐步回归预测自杀的自变量，分别用于预测 LEOs 和 FFs/EMTs。
物质使用和躯体抑郁是 LEOs 的显著预测因素，而情感抑郁、快感缺失、外化行为、创伤史和广泛性焦虑是 FFs/EMTs 的显著预测因素。
这些数据是横断面的，应该在治疗过程中进行纵向建模。
不同的结构影响 LEOs 和 FFs/EMTs 的自杀。
