Mapping PTSD, depression, and anxiety: A network analysis of co-occurring symptoms in treatment-seeking first responders

First responders are at high risk for a range of co-occurring mental health conditions due to their repeated exposure to traumatic events. When first responders present for treatment, their complex presentation of symptoms including posttraumatic stress disorder (PTSD), depression, and generalized anxiety disorder (GAD) can prove challenging to differentiate for clinical purposes. Network analysis provides a means to identify the nuanced associations between the symptoms of these conditions and to identify groups of related symptoms. In this study, a treatment-seeking sample of first responders (N = 432) completed self-report measures of PTSD, depression, and GAD. Network analysis was used to identify symptom clusters within the sample. Our cross-sectional data yielded six empirically distinct communities: depression symptoms, GAD symptoms, and four communities comprising PTSD symptoms - intrusion and avoidance; irritability and aggression; negative affect; and arousal and sleep. Network associations underscore the heterogeneity of PTSD and also highlight overlapping and diverging symptoms of depression and GAD. These findings are discussed within the context of existing research on first responders, and recommendations for further study and treatment interventions are provided.

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

BACKGROUND

First responders, including firefighters and emergency medical technicians (EMTs), are under extreme stress from repeated exposure to potentially traumatic events. To optimize treatment for this population, it is critical to understand how the various posttraumatic stress disorder (PTSD) symptom factors are associated with one another so these relations may be targeted in treatment.

METHOD

Using a sample of treatment-seeking firefighters/EMTs (N = 342), we conducted a partial correlation network analysis of the eight-factor model. A Bayesian directed acyclic graph (DAG) was used to estimate causal associations between clusters.

RESULTS

Approximately 37 % of the sample screened positive for probable PTSD. Internal re-experiencing and external re-experiencing had the strongest edges. In the DAG, internal re-experiencing was the parent node and was potentially predictive of external re-experiencing, negative affect, dysphoric arousal, and avoidance.

LIMITATIONS

Data were drawn from a treatment-seeking sample that may not generalize to all firefighters/EMTs.

CONCLUSIONS

The current findings are consistent with prior research suggesting re-experiencing plays a critical role in developing and maintaining PTSD symptoms. Future research should investigate non-treatment-seeking first responders, as well as EMTs and firefighters as individual populations.

Validation of the PCL-5, PHQ-9, and GAD-7 in a Sample of Veterans

OBJECTIVE

Veterans can present at nongovernment (Department of Defense, Department of Veterans Affairs) mental health agencies with complex symptom constellations that frequently include posttraumatic stress disorder, depression, and generalized anxiety. To date, no veteran study has validated these measures on a treatment-seeking sample of veterans outside the DoD and VA.

METHODS

We used a treatment-seeking sample of veterans ( N = 493) to validate measures that assess these constructs (PTSD Checklist 5, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7).

RESULTS

The seven-factor posttraumatic stress disorder hybrid configuration was the best fit. The best fitting model of the depression measure was a two-factor structure, cognitive-affective, and somatic depression. The measure of generalized anxiety was a unidimensional model.

LIMITATIONS

Follow-up studies should validate these measures on nontreatment-seeking discharged veterans.

CONCLUSIONS

We interpret these findings within the veteran scholarship and explore clinical implications for providers.

Predictors of Suicide and Differences in Attachment Styles and Resilience Among Treatment-Seeking First-Responder Subtypes

OBJECTIVE

To identify the predictors of suicide for firefighters (FFs), emergency medical technicians (EMTs), and law enforcement officers (LEOs).

METHODS

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.

RESULTS

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.

LIMITATIONS

These data are cross-sectional and should be modeled longitudinally over the course of treatment.

CONCLUSION

Separate constructs influence suicide for LEOs and FFs/EMTs.

[Outbreak of Shigella boydii dysentery in the county of El Bierzo]

BACKGROUND

Investigation of an outbreak of bacillar dysentery of possible transmission by water produced by Shigella boydii.

METHODS

The strains were isolated in the stools and studies of identification, serotyping, susceptibility to antibiotics and plasmid profile were carried out according to standard methods. The epidemiological investigation was carried out retrospectively.

RESULTS

51 strains were isolated from 48 patients. All were identified as S. boydii serotype 4. The pattern of susceptibility was variable, all of them showed resistance to ampicillin, tetracycline and chloramphenicol. The plasmid profile was homogeneous. Of the 41 patients who completed the questionnaire all were living in the same town or nearby localities.

CONCLUSIONS

The serotype 4 of S. boydii, infrequent in Spain, the homogeneous plasmid profile and the relationship between time and place of the cases, suggest that we find ourselves faced with an outbreak epidemiologically relationed. The localisation of the cases and the network of the drinking water supply represented on the plan of the town, support the hypothesis of the origin of hte outbreak as being in the lack of chlorination of one of the tanks of the network of supply.