Disturbed Sleep Connects Symptoms of Posttraumatic Stress Disorder and Somatization: A Network Analysis Approach

Latent profile analysis of transdiagnostic emotional distress, suicidality, and resilience in first responders

BACKGROUND

First responders (i.e., law enforcement officers, firefighters, and emergency medical technicians/paramedics), experience significantly higher occupational trauma exposure than U.S. adult workers outside these fields, leading to increased risks of comorbid mental health disorders. Repeated and intense trauma exposure may combine with personal factors to place them at higher risk for suicide. Conversely, first responders may show higher levels of psychological resilience in the face of occupational trauma experiences. Some research exists on resilience, though little is known about suicide resilience in first responder populations.

METHODS

We used latent profile analysis (LPA) on a treatment-seeking sample of first responders (N = 340) with measures of posttraumatic stress disorder (PTSD), generalized anxiety, depression, suicidality, and resilience.

RESULTS

We determined the best fit was a five-class solution, including the following emotional distress categories: minimal (19 %), mild (33 %), moderate (8 %), moderately severe (27 %), and severe (13 %) emotional distress. In this study, all multivariate analyses of variance (MANOVAs) were statistically significant and had large effect sizes ranging from the lowest (resilience) to the largest (depression).

LIMITATIONS

We used self-report assessments and not a clinical interview. Also, we did not have data on measures of substance use, emotional dysregulation (e.g., attachment), or trauma exposure.

CONCLUSIONS

This study underscores the critical need for developing and implementing transdiagnostic interventions that not only address the spectrum of emotional distress and suicidality but also actively enhance resilience among treatment-seeking first responders.

Network analysis of the symptoms of posttraumatic stress disorder in patients undergoing chemotherapy for colorectal cancer

Objective

In this study, we examine the network structure of posttraumatic stress disorder (PTSD), including core symptoms and strong edges in patients undergoing chemotherapy for colorectal cancer in China, and lay the groundwork for targeted psychological interventions for these patients.

Methods

This study included 360 colorectal cancer patients receiving chemotherapy at a third-class hospital in Wuxi, China, from November 2023 to June 2024. The severity of each item of PTSD was assessed using the DSM-5 Checklist (PCL-5). A network analysis approach was conducted in R to pinpoint core symptoms and investigate notable edge connections within the network.

Results

The accuracy and stability of the PTSD network structure model were relatively good, and the results indicated that robust connections emerged between avoidance of thoughts and avoidance of reminders, hypervigilance and exaggerated startle response, and loss of interest and detachment. The most central node was emotional cue reactivity, which was more closely connected with other symptoms, while self-destructive/reckless behavior was the lowest central node.

Conclusion

Emotional cue reactivity was proved to be the most prominent symptom in the PTSD symptom network in colorectal cancer patients treated with chemotherapy, and targeting it in interventions could lead to substantial improvements.

Putting the Vicious Cycle to the Test: Evidence for the Cognitive Behavioral Model of Persistent Somatic Symptoms From an Online Study

OBJECTIVE

In clinical practice, persistent somatic symptoms are regularly explained using a cognitive-behavioral model (CBM). In the CBM, predisposing, perpetuating, and precipitating factors are assumed to interact and to cause the onset and endurance of somatic symptoms. However, these models are rarely investigated in their entirety.

METHODS

We conducted an online survey during the COVID-19 pandemic. A total of 2114 participants from the general German population completed questionnaires that measured different factors of the CBM. We used state negative affectivity and neuroticism as predisposing factors, fear of a COVID-19 infection as the precipitating factor, and somatic symptoms, misinterpretation of bodily symptoms, attention allocation to bodily symptoms, and health anxiety as perpetuating factors. Moreover, we added safety and avoidance behavior as end points to the model. We conducted a psychological network analysis to exploratively study the relationships between the model's different factors and tested the assumptions of the CBM by evaluating a structural equation model (SEM) that incorporated all factors of the model.

RESULTS

Network analyses revealed clustering in our data: Health anxiety and different cognitive factors are closely related, whereas somatic symptoms and state negative affectivity are strongly associated. Our SEM showed adequate fit.

CONCLUSIONS

Our findings from an exploratory and a confirmatory approach give empirical support for the CBM, suggesting it as a suitable model to explain bodily symptoms in the general population and to possibly guide clinical practice. The network model additionally indicates the necessity to apply an individualized CBM for patients, depending on a preponderance of either persistent somatic symptoms or health concerns.

Novel Approaches Toward Studying Change: Implications for Understanding and Treating Psychopathology

In this article, the authors critically evaluate contemporary models of psychopathology and therapies, underscoring the limitations of traditional symptom-based classification approaches in mental health. The authors introduce a paradigm shift in the field, toward a process-oriented and dynamic systems approach to psychotherapy that offers deeper insights into the complex interplay of symptoms and individual experiences in psychopathology. These approaches offer a more personalized and effective understanding and treatment of mental health issues, moving beyond static and 1-dimensional views. The authors discuss the implications for clinical practice, emphasizing improved assessment, diagnosis, and tailored treatment strategies.

The relationship of posttraumatic stress disorder and developmental trauma disorder with childhood psychopathology: A network analysis

OBJECTIVE

Potentially traumatic experiences are a major risk factor for mental disorders in children and adolescents. Posttraumatic psychopathology includes trauma-specific disorders such as posttraumatic stress disorder (PTSD) as well as other psychiatric disorders. Developmental Trauma Disorder (DTD) has been proposed as a developmentally sensitive diagnosis. We aimed to further illuminate the co-occurrence of psychiatric conditions with DTD and PTSD.

METHOD

In a convenience sample of families of 507 children and adolescents (mean age = 12.11 years old, SD = 2.92; 48.5% female), we assessed DTD, PTSD, and screened for psychiatric disorders. We estimated network models including DTD, PTSD and ten psychiatric conditions.

RESULTS

We found that DTD and PTSD share both common and differential comorbidity features on disorder-, domain-, and symptom-level. The differential comorbidity patterns of the DTD and PTSD domains placed DTD close to both externalizing and internalizing psychopathology while PTSD was primarily linked to internalizing conditions.

CONCLUSIONS

Our study provides evidence for the complex clinical presentation of posttraumatic psychopathology over and above PTSD in children. DTD and PTSD provide useful and distinct diagnostic categories for children who are also experiencing internalizing conditions, and DTD may be especially relevant for children who are experiencing externalizing psychopathology.

A network analysis investigating the associations between posttraumatic stress symptoms, markers of inflammation and metabolic syndrome

Chronic systemic inflammation has been implicated in trauma exposure, independent of a psychiatric diagnosis, and in posttraumatic stress disorder (PTSD) and its highly comorbid conditions, such as metabolic syndrome (MetS). The present study used network analysis to examine the interacting associations between pro-inflammatory cytokines, posttraumatic stress (PTS) symptoms and symptom clusters, and individual components of MetS, in a cohort of 312 participants (n = 139 PTSD cases, n = 173 trauma-exposed controls). Pro-inflammatory cytokines were measured in serum samples using immunoturbidimetric and multiplex assays. Three network models were assessed, and the decision on which model to use was guided by network stability estimates and denseness. Weak negative associations were observed between interleukin one beta (IL-1β) and detachment (D6) and irritability (E1); tumour necrosis factor alpha (TNFα) and hypervigilance (E3); and C-reactive protein (CRP) and emotional cue reactivity (B4), which could be due to high cortisol levels present in a female-majority cohort. Network models also identified positive associations between CRP and waist circumference, blood pressure, and high-density lipoprotein cholesterol (HDL-C). The strongest association was observed between CRP and waist circumference, providing evidence that central obesity is an important inflammatory component of MetS. Some networks displayed high instability, which could be due to the small pool of participants with viable cytokine data. Overall, this study provides evidence for associations between inflammation, PTS symptoms and components of MetS. Future longitudinal studies measuring pro-inflammatory cytokines in the immediate aftermath of trauma are required to gain better insight into the role of inflammation in trauma-exposure and PTSD.

Relationship between Posttraumatic Stress Disorder and Sleep Disturbances in Syrian Refugees in the United States

Background  Posttraumatic stress disorder (PTSD) is associated with disturbed sleep. However, the impact of sleep disturbances and PTSD symptomology in refugee populations is not well known. This study examined how PTSD-related sleep symptoms and overall sleep quality were impacted by previous and current traumatic and stressful experiences. Methods  Adult Syrian refugees living in Southeast Michigan were assessed via scheduled in-home interviews. Overall sleep quality was measured using the Pittsburgh Sleep Quality Index. PTSD-related sleep disturbances were measured using the Pittsburgh Sleep Quality Index Addendum. The presence of PTSD symptomatology was assessed via self-report using the Posttraumatic Stress Disorder Checklist. The Life Events Checklist for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition-5 screened for prior traumatic events experienced and the Postmigration Living Difficulties Questionnaire was assessed for postmigration stressors. Correlational analysis was conducted between overall sleep quality, PTSD symptom severity, and previous trauma experienced. A stepwise linear regression analysis was conducted to examine the role of overall sleep quality, PTSD-specific sleep disturbances, current living difficulties, and the number of preimmigration traumatic events directly experienced or witnessed due to the presence of overall PTSD symptomology. Results  A total of 53 adults completed the study. PTSD-disturbed sleep was found to be positively associated with overall poor sleep quality ( r  = 0.42, p  < 0.01), PTSD symptomology ( r  = 0.65, p  < 0.01), and current living difficulties ( r  = 0.37, p  < 0.05). The PTSD-related sleep disturbances (B = 0.66, p  < 0.01) and postmigration living difficulties (B = 0.44, p  < 0.01) were found to be the strongest predictors of PTSD symptoms. Conclusion  Disturbed sleep is strongly associated with current stressful experiences and PTSD symptomology among Syrian refugees.

Bio-Psychological Predictors of Acute and Protracted Fatigue After Burns: A Longitudinal Study

Objective

Fatigue after burns is often attributed to the hyperinflammatory and hypermetabolic response, while it may be best understood from a bio-psychological perspective, also involving the neuro-endocrine system. This longitudinal multi-center study examined the course of fatigue up to 18 months postburn. The contribution of bio-psychological factors, including burn severity, pain, and acute PTSD symptoms, to the course and persistence of fatigue was studied in a multifactorial model.

Methods

Participants were 247 adult burn survivors. Fatigue symptoms were assessed with the Multidimensional Fatigue Inventory during the acute phase and subsequently at 3, 6, 12, and 18 months postburn, and were compared to population norms. Age, gender, burn severity, acute PTSD symptoms and pain were assessed as potential predictors of fatigue over time in a latent growth model.

Results

At 18 months postburn, 46% of the burn survivors reported fatigue, including 18% with severe fatigue. In the acute phase, higher levels of fatigue were related to multiple surgeries, presence of pain, and higher levels of acute PTSD symptoms. Fatigue gradually decreased over time with minor individual differences in rate of decrease. At 18 months, pain and acute PTSD symptoms remained significant predictors of fatigue levels.

Conclusions

Protracted fatigue after burns was found in almost one out of five burn survivors and was associated with both pain and acute PTSD symptoms. Early detection of PTSD symptoms and early psychological interventions aimed at reducing PTSD symptoms and pain may be warranted to reduce later fatigue symptoms.

Co-occurrence of severe PTSD, somatic symptoms and dissociation in a large sample of childhood trauma inpatients: a network analysis

Co-occurrence of mental disorders including severe PTSD, somatic symptoms, and dissociation in the aftermath of trauma is common and sometimes associated with poor treatment outcomes. However, the interrelationships between these conditions at symptom level are not well understood. In the present study, we aimed to explore direct connections between PTSD, somatic symptoms, and dissociation to gain a deeper insight into the pathological processes underlying their comorbidity that can inform future treatment plans. In a sample of 655 adult inpatients with a diagnosis of severe PTSD following childhood abuse (85.6% female; mean age = 47.57), we assessed symptoms of PTSD, somatization, and dissociation. We analyzed the comorbidity structure using a partial correlation network with regularization. Mostly positive associations between symptoms characterized the network structure. Muscle or joint pain was among the most central symptoms. Physiological reactivation was central in the full network and together with concentrations problems acted as bridge between symptoms of PTSD and somatic symptoms. Headaches connected somatic symptoms with others and derealization connected dissociative symptoms with others in the network. Exposure to traumatic events has a severe and detrimental effect on mental and physical health and these consequences worsen each other trans-diagnostically on a symptom level. Strong connections between physiological reactivation and pain with other symptoms could inform treatment target prioritization. We recommend a dynamic, modular approach to treatment that should combine evidence-based interventions for PTSD and comorbid conditions which is informed by symptom prominence, readiness to address these symptoms and preference.

A network analysis investigation of the comorbidity between sleep dysfunction and PTSD symptomatology among Filipino domestic workers in Macao (SAR) China

Posttraumatic stress disorder (PTSD) is highly comorbid with sleep dysfunction. This association was previously explained based on cognitive and emotional dysfunction. The current study extends this literature by investigating the symptom level comorbidity of sleep dysfunction and DSM-5 PTSD utilizing a network approach. Participants were trauma-exposed female Filipino domestic workers (N = 1241). Network analysis was applied to 23 items: 18 items from PCL-5 measuring PTSD (Community 1) and 5 items from PSQI assessing sleep dysfunction (Community 2). The results showed that the symptoms within each community had the strongest correlations. Bridge connections were identified between the sleep dysfunction and PTSD symptom communities. Symptoms with the highest bridge strength were concentration difficulties, recklessness, irritability, and sleep disturbance. This is among the first studies investigating the comorbidity between PTSD and sleep dysfunction from the network approach. Future interventions may be developed that emphasize the bridge symptoms to address comorbidity among trauma exposed migrants.

New-onset and exacerbated insomnia symptoms during the COVID-19 pandemic in US military veterans: A nationally representative, prospective cohort study

The COVID‐19 pandemic has had a negative impact on physical and mental health worldwide. While pandemic‐related stress has also been linked to increased insomnia, scarce research has examined this association in nationally representative samples of high‐risk populations, such as military veterans. We evaluated pre‐ and pandemic‐related factors associated with new‐onset and exacerbated insomnia symptoms in a nationally representative sample of 3,078 US military veterans who participated in the National Health and Resilience in Veterans Study. Veterans were surveyed in the USA in 11/2019 (pre‐pandemic) and again in 11/2020 (peri‐pandemic). The Insomnia Severity Index was used to assess severity of insomnia symptoms at the pre‐ and peri‐pandemic assessments. Among veterans without clinical or subthreshold insomnia symptoms pre‐pandemic (n = 2,548), 11.5% developed subthreshold (10.9%) or clinical insomnia symptoms (0.6%) during the pandemic; among those with subthreshold insomnia symptoms pre‐pandemic (n = 1,058; 26.0%), 8.0% developed clinical insomnia symptoms. Pre‐pandemic social support (21.9% relative variance explained), pandemic‐related stress related to changes in family relationships (20.5% relative variance explained), pre‐pandemic chest pain (18.5% relative variance explained) and weakness (11.1% relative variance explained), and posttraumatic stress disorder (8.2% relative variance explained) explained the majority of the variance in new‐onset subthreshold or clinical insomnia symptoms during the pandemic. Among veterans with pre‐pandemic subthreshold insomnia, pandemic‐related home isolation restrictions (59.1% relative variance explained) and financial difficulties (25.1% relative variance explained) explained the majority of variance in incident clinical insomnia symptoms. Taken together, the results of this study suggest that nearly one in five US veterans developed new‐onset or exacerbated insomnia symptoms during the pandemic, and identify potential targets for prevention and treatment efforts.