Conceptualizing comorbid PTSD and depression among treatment-seeking, active duty military service members

Physiotherapy Within Inpatient Mental Health Wards: Involvement, Diagnoses, and Lifestyle Characteristics

BACKGROUND

Severe mental illness (SMI) is often linked to physical health issues, including multiple comorbidities. Physiotherapists are increasingly recognized for their role in addressing these health disparities. This study investigated the role of physiotherapy in managing physical health conditions in individuals admitted to inpatient mental health services.

OBJECTIVE

The primary aim was to examine the prevalence of physical comorbidities among individuals admitted to inpatient mental health services, comparing those referred to physiotherapy versus those not referred. Secondary aims included assessing the relationship between physiotherapy referral and admission duration and identifying patterns in referral likelihood based on primary and comorbid diagnoses.

METHODS

A data linkage analysis was conducted using records from Tees, Esk and Wear Valleys NHS Foundation Trust, encompassing admissions from September 2020 to January 2023. Demographic data, physiotherapy referral status, and SNOMED-CT coded diagnoses were analyzed.

RESULTS

Among 2150 admissions, 505 (23.5%) were referred for physiotherapy. Multimorbidity was present in 58.1% of admissions, with a higher prevalence (67.8%) in those referred to physiotherapy versus those not referred (55.1%). Individuals referred to physiotherapy had longer lengths of stay (117.3 days), compared to those not referred (44.1 days), suggesting that extended stays may indirectly facilitate the identification and management of physiotherapy needs. Referral likelihood was influenced by primary diagnoses and comorbidities.

CONCLUSIONS

Approximately one in four inpatient admissions resulted in a physiotherapy referral, with a higher prevalence of multimorbidity in those referred. Further research is warranted to explore the long-term impacts of physiotherapy interventions on physical and mental health outcomes.

A Bifactor Evaluation of Self-Report and Clinician-Administered Measures of PTSD in Veterans

The PTSD Checklist for DSM-5 (PCL-5) and the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) are two of the most widely used and well-validated PTSD measures providing total and subscale scores that correspond with DSM-5 PTSD symptoms. However, there is little information about the utility of subscale scores above and beyond the total score for either measure. The current study compared the proposed DSM-5 four-factor model to a bifactor model across both measures using a sample of veterans (N = 1,240) presenting to a Veterans Affairs (VA) PTSD specialty clinic. The correlated factors and bifactor models for both measures evidenced marginal-to-acceptable fit and were retained for further evaluation. Bifactor specific indices suggested that both measures exhibited a strong general factor but weak lower-order factors. Structural regressions revealed that most of the lower-order factors provided little utility in predicting relevant outcomes. Although additional research is needed to make definitive statements about the utility of PCL-5 and CAPS-5 subscales, study findings point to numerous weaknesses. As such, caution should be exercised when using or interpreting subscale scores in future research.

Psychometric evaluation of the PCL-5: assessing validity, diagnostic utility, and bifactor structures

Background: The changes DSM-5 brought to the diagnostic criteria for posttraumatic stress disorder (PTSD) resulted in revising the most widely used instrument in assessing PTSD, namely the Posttraumatic Checklist for DSM-5 (PCL-5).Objective: This study examined the psychometric properties of the Romanian version of the PCL-5, tested its diagnostic utility against the Structured Clinical Interview for DSM-5 (SCID-5), and investigated the latent structure of PTSD symptoms through correlated symptom models and bifactor modelling.Method: A total sample of 727 participants was used to test the psychometric properties and underlying structure of the PCL-5 and 101 individuals underwent clinical interviews using SCID-5. Receiver operating characteristic curve (ROC) analyses were performed to test the diagnostic utility of the PCL-5 and identify optimal cut-off scores based on Youden's J index. Confirmatory Factor Analyses (CFAs) and bifactor modelling were performed to investigate the latent structure of PTSD symptoms.Results: Estimates revealed that the PCL-5 is a valuable tool with acceptable diagnostic accuracy compared to SCID-5 diagnoses, indicating a cut-off score of >47. The CFAs provide empirical support for Anhedonia, Hybrid, and bifactor models. The findings are limited by using retrospective, self-report data and the high percentage of female participants.Conclusions: The PCL-5 is a psychometrically sound instrument that can be useful in making provisional diagnoses within community samples and improving trauma-informed practices.

Posttraumatic Stress Disorder, Suicidal ideation, and Stress: The Moderating Role of Dysfunctional and Recovery Cognitions

OBJECTIVE

Trauma and stressor-related behavioral health conditions are prevalent in military populations and have become a major public health concern in recent years. Individuals who commonly report suicidal ideation often have comorbid mental health diagnoses (i.e., posttraumatic stress disorder; PTSD). However, the mechanisms associated with stress, suicidal ideation, and PTSD are unclear.

METHOD

The present study examined the moderating role of dysfunctional and recovery cognitions between (i) PTSD and suicidal ideation, and (ii) stress and suicidal ideation in two distinct samples. Sample 1 was composed of civilians and military personnel (N = 322). Sample 2 was composed of (N = 377) student service members and veterans (SSM/Vs).

RESULTS

In Study 1, we found that low recovery cognitions at higher and moderate levels of PTSD symptoms were significantly associated with increased suicidal ideation. High dysfunctional cognitions were significantly associated with suicidal ideation at higher levels of PTSD symptoms. In Study 2, we found no differences in any level of recovery cognitions at low and moderate stress levels with suicidal ideation. Higher levels of stress were associated with high dysfunctional cognitions and suicidal ideation.

CONCLUSION

Promoting higher levels of recovery cognitions and reducing dysfunctional cognitions are important in addressing stress, suicidal ideation, and comorbid conditions such as PTSD. Future research should focus on examining the clinical utility of the Dispositional Recovery and Dysfunction Inventory (DRDI) in other populations (i.e., firefighters and paramedics). This could contribute to efforts of suicide prevention and the promotion of the well-being of individuals experiencing suicidal ideation.

A Bifactor Model of General and Specific PTSD Symptom Change During Treatment

Posttraumatic stress disorder (PTSD) consists of four main components in the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5): intrusions (INT), avoidance (AV), negative alterations in cognition and mood (NACM), and arousal and reactivity (AAR); however, studies do not always support this four-factor model. A sample of 348 treatment-seeking adults was assessed for PTSD symptoms at baseline (Time 1) and then 12 weeks later (Time 2). Confirmatory factor analysis (CFA) was used to examine the model fit of the DSM-5 four-factor model of PTSD with and without a general factor at both time points, and structural equation modeling allowed for examination of these associations between time points. The four-factor model did not meet the criteria for excellent model fit, and the bifactor model provided improved model fit. The NACM specific factor did not meet the criteria for unique variance above and beyond the general factor. The bifactor model of PTSD symptoms was reliable over time, and both the general factor and the AAR factor significantly predicted subsequent symptom severity.

Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005-2018

BACKGROUND

Depression is a common mental health problem among veterans, with high mortality. Despite the numerous conducted investigations, the prediction and identification of risk factors for depression are still severely limited. This study used a deep learning algorithm to identify depression in veterans and its factors associated with clinical manifestations.

METHODS

Our data originated from the National Health and Nutrition Examination Survey (2005-2018). A dataset of 2,546 veterans was identified using deep learning and five traditional machine learning algorithms with 10-fold cross-validation. Model performance was assessed by examining the area under the subject operating characteristic curve (AUC), accuracy, recall, specificity, precision, and F1 score.

RESULTS

Deep learning had the highest AUC (0.891, 95%CI 0.869-0.914) and specificity (0.906) in identifying depression in veterans. Further study on depression among veterans of different ages showed that the AUC values for deep learning were 0.929 (95%CI 0.904-0.955) in the middle-aged group and 0.924(95%CI 0.900-0.948) in the older age group. In addition to general health conditions, sleep difficulties, memory impairment, work incapacity, income, BMI, and chronic diseases, factors such as vitamins E and C, and palmitic acid were also identified as important influencing factors.

CONCLUSIONS

Compared with traditional machine learning methods, deep learning algorithms achieved optimal performance, making it conducive for identifying depression and its risk factors among veterans.

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.

The Posttraumatic Stress Disorder (PTSD) Checklist for DSM-5: A Systematic Review of Existing Psychometric Evidence

The PTSD Checklist for DSM-5 (PCL-5) is a widely used self-rated measure of DSM-5 PTSD symptoms. The goal of this systematic review was to synthesize research on the psychometric properties of the PCL-5 to guide clinical and research applications. We focused on reliability, validity, factor structure, optimal cutoff scores, and sensitivity to clinical change indices. A systematic review of the literature following PRISMA guidelines was conducted using PubMed, PsycINFO, CINAHL, and PTSDpubs with search terms capturing selected psychometric indices of the PCL-5. The inclusion criteria were: peer-reviewed publication in English; primary focus on the PCL-5 psychometrics; empirical study; and study with adult samples. The search yielded 265 studies; 56 papers (amounting to 64 studies) met inclusion criteria and were reviewed. Findings generally indicated evidence for: acceptable internal consistency and test-retest reliability; construct validity; a 7-factor Hybrid Model; recommended cutoff scores between 31-33; and ability to index sensitivity to clinical change. To further advance knowledge and applications of the PCL-5, we need more research on abbreviated versions of the PCL-5, bifactor modeling as applied to the PCL-5, as well as on PCL-5 item difficulty estimates, discrimination parameters, and clinical change score estimates.

A bidirectional examination of mental health symptoms and perceptions of leader support: Which comes first?

Leader support for psychological health (LSPH) has been identified as an important factor in the prediction of mental health symptoms among warfighters. Although research has examined the relationship between LSPH and mental health symptoms, the extent to which this relationship is bidirectional has been underexplored. Consequently, the present study examined the longitudinal relationships between perceived LSPH and mental health symptoms (depression and PTSD) among military personnel over a 5-month period. We found that perceived LSPH at Time 1 (T1) was associated with fewer mental health symptoms at Time 2 (T2); however, mental health symptoms at T1 were also associated with lower perceptions of LSPH at T2. The results differed slightly based on the type of symptoms experienced, but the relationships between perceived LSPH and symptoms did not vary based on whether soldiers had been exposed to combat. However, it is important to note that the overall sample had low combat experience. Despite this, these findings may suggest that the assumption that leader support can enhance soldier mental health may fail to consider that the symptoms themselves may also affect how leaders are perceived. Therefore, organizations such as the military should consider both directions to optimally understand the relationship between leaders and subordinate mental health.

Effects of intranasal (S)-ketamine on Veterans with co-morbid treatment-resistant depression and PTSD: A retrospective case series

BACKGROUND

(S)-ketamine is a glutamatergic drug with potent and rapid acting effects for the treatment of depression. Little is known about the effectiveness of intranasal (S)-ketamine for treating patients with comorbid depression and post-traumatic stress disorder (PTSD).

METHODS

We performed a retrospective case series analysis of clinical outcomes in 35 Veterans with co-morbid depression and PTSD who were treated with intranasal (S)-ketamine treatments at the VA San Diego Neuromodulation Clinic between Jan 2020 and March 2021. Veterans were not randomized or blinded to treatment. The primary outcome measured was a change in patient health questionnaire-9 (PHQ-9) and PTSD Checklist for DSM-5 (PCL-5) scores across the first 8 treatments (induction period) using a repeated measures analysis of variance (ANOVA). In a smaller sub-group (n = 19) of Veterans who received at least 8 additional treatments, we analyzed whether intranasal (S)-ketamine continued to show treatment effects. Finally, we performed a sub-group and correlation analyses to understand how changes in PHQ-9 and PCL-5 scores were related across treatments.

FINDINGS

During the induction phase of treatment there was an absolute reduction of 5.1 (SEM 0.7) on the patient health questionnaire-9 (PHQ-9) rating scale for depression, from 19.8 (SEM 0.7) at treatment 1 to 14.7 (SEM 0.8) at treatment 8 (week 4) (F(7238) = 8.3, p = 1e-6, partial η² = 0.2). Five Veterans (14%) showed a clinically meaningful response (50% reduction in PHQ-9 score) at treatment 8. There was an absolute reduction of 15.5 +/- 2.4 on the patient checklist 5 (PCL-5) rating scale for PTSD, from 54.8 (SEM 2) at treatment 1 down to 39.3 (SEM 2.5) at treatment 8 (F(7238) = 15.5, p = 2e-7, partial η² = 0.31). Sixteen Veterans (46%) showed a clinically meaningful response (reduction in PCL-5 of > 30%) in PTSD. Change in PHQ-9 correlated with change in PCL-5 at treatment 8 (r = 0.47, p = 0.005), but a decrease in PTSD symptoms were observable in some individuals with minimal anti-depressant response.

INTERPRETATIONS

While this is an open-label retrospective analysis, our results indicate that both depression and PTSD symptoms in Veterans with dual-diagnoses may improve with repeated intranasal (S)-ketamine treatment. The effects of (S)-ketamine on PTSD symptoms were temporally and individually distinct from those on depression, suggesting potentially different modes of action on the two disorders. This work may warrant formal randomized controlled studies on the effects of intranasal (S)-ketamine for individuals with co-morbid MDD and PTSD.

FUNDING

VA Center of Excellence in Stress and Mental Health, VA ORD (Career Development Award to DSR), Burroughs-Wellcome Fund Award (DSR), NIMH (EL).

Genetic evidence suggests posttraumatic stress disorder as a subtype of major depressive disorder

BACKGROUND

Major depressive disorder (MDD) and posttraumatic stress disorder (PTSD) are highly comorbid and exhibit strong correlations with one another. We aimed to investigate mechanisms of underlying relationships between PTSD and three kinds of depressive phenotypes, namely, MDD, depressed affect (DAF), and depression (DEP, including both MDD and the broad definition of depression).

METHODS

Genetic correlations between PTSD and the depressive phenotypes were tested using linkage disequilibrium score regression. Polygenic overlap analysis was used to estimate shared and trait-specific causal variants across a pair of traits. Causal relationships between PTSD and the depressive phenotypes were investigated using Mendelian randomization. Shared genomic loci between PTSD and MDD were identified using cross-trait meta-analysis.

RESULTS

Genetic correlations of PTSD with the depressive phenotypes were in the range of 0.71~0.80. The estimated numbers of causal variants were 14,565, 12,965, 10,565, and 4,986 for MDD, DEP, DAF, and PTSD, respectively. In each case, causal variants contributing to PTSD were completely or largely covered by causal variants defining each of the depressive phenotypes. Mendelian randomization analysis indicates that the genetically determined depressive phenotypes confer a causal effect on PTSD (b = 0.21~0.31). Notably, genetically determined PTSD confers a causal effect on DEP (b = 0.14) and DAF (b = 0.15), but not MDD. Cross-trait meta-analysis of MDD and PTSD identifies 47 genomic loci, including 29 loci shared between PTSD and MDD.

CONCLUSION

Evidence from shared genetics suggests that PTSD is a subtype of MDD. This study provides support to the efforts in reducing diagnostic heterogeneity in psychiatric nosology.

FUNDING

The National Key Research and Development Program of China (2018YFC1314300) and the National Natural Science Foundation of China (81471364 and 81971255).

Post-traumatic stress disorder in train crash survivors in Italy: the role of mood spectrum dysregulations and intrusiveness

BACKGROUND

To explore relationships among post-traumatic stress disorder (PTSD), depressive spectrum symptoms, and intrusiveness in subjects who survived the crash of a train derailed carrying liquefied petroleum gas and exploded causing a fire.

METHODS

A sample of 111 subjects was enrolled in Viareggio, Italy. AMOS version 21 (IBM Corp, 2012) was utilized for a structural equation model-path analysis to model the direct and indirect links between the exposure to the traumatic event, the occurrence of depressive symptoms, and intrusiveness. Subjects were administered with the SCID-IV (Structured Clinical Interview for DSM-IV), the Questionnaire for Mood Spectrum (MOODS-SR)-Last Month version, the Trauma and Loss Spectrum Questionnaire (TALS-SR), and the Impact of Event Scale-Revised version (IES-R).

RESULTS

Sixty-six (66/111; 59.4%) subjects met SCID-IV criteria for PTSD. Indices of goodness of fit were as followed: χ2/df = 0.2 P = .6; comparative fit index = 1 and root mean square error of approximation = 0.0001. A significant path coefficient for direct effect of potential traumatic events on depressive symptoms (β = 0.25; P < .04) and from depressive symptoms to intrusiveness (β = 0.34; P < .003) was found. An indirect effect was also observed: standardized value of potential traumatic events on intrusiveness was 0.86. The mediating factor of this indirect effect path was represented by depressive symptoms. Potential traumatic events explained 6.2% of the variance of depressive symptoms; 11.8% of the variance of intrusiveness was accounted for traumatic event and depressive symptoms.

CONCLUSIONS

Path analysis led us to speculate that depression symptoms might have mediated the relationship between the exposure to potential traumatic events and intrusiveness for the onset of PTSD.

The role of negative cognitions in co-occurring posttraumatic stress disorder and depression: Examination of interpersonal and noninterpersonal trauma survivors

OBJECTIVE

To examine negative cognitions underlying both posttraumatic stress disorder (PTSD) and depression following trauma.

METHOD

A mixed-gender motor vehicle accident (N = 297, M_age  = 43.49 years) sample and a female intimate partner violence (N = 242, M_age  = 36.95 years) sample was cross-sectionally studied at research clinics of two universities.

RESULTS

When diagnostic groups (PTSD+/-, depression+/-) were studied, no significant interactions were noted for any of the three forms of negative cognitions (negative thoughts about the self, negative thoughts about the world, and self-blame) in either sample. When continuous ratings of PTSD and depression were studied, the results showed that negative thoughts about the self were linked to both PTSD and depression.

CONCLUSION

Findings suggest that it may be beneficial to target negative thoughts about the self when treating PTSD and depression together.

Risk and protective factors for post-traumatic stress among New Zealand military personnel: A cross sectional study

Background

Post-traumatic stress (PTS) is prevalent among military personnel. Knowledge of the risk and protective factors associated with PTS in this population may assist with identifying personnel who would benefit from increased or targeted support.

Aims

To examine factors associated with PTS among New Zealand military personnel.

Methods

For this cross-sectional study, currently serving and retired military personnel were invited to complete a questionnaire. The questionnaire included a measure of PTS (the Military Post-traumatic Stress Disorder Checklist; PCL-M), where scores ≥30 indicate the experience of significant PTS symptoms and scores ≥45 indicate a presumptive clinical diagnosis of post-traumatic stress. Potential risk and protective factors associated with PTS were examined using logistic regression modelling.

Results

1817 military personnel completed the questionnaire. PCL-M scores were ≥30 for 549 (30%) participants and ≥45 for 179 (10%) participants. Factors associated with higher PCL-M scores were trauma exposure, older age, male sex, and Māori ethnicity. Factors associated with lower PCL-M scores were greater length of service, psychological flexibility, and better quality sleep.

Conclusions

PTS was found to be prevalent among New Zealand military personnel. The experience of trauma was strongly associated with PTS. However, factors such as psychological flexibility (the ability to adapt to changes in circumstances) and good sleep were protective, suggesting that these factors could be key targets for interventions designed to reduce PTS among military personnel in New Zealand.