Experiences of racial discrimination and adverse gene expression among black individuals in a level 1 trauma center sample.

Up to 40 % of individuals who sustain traumatic injuries are at risk for posttraumatic stress disorder (PTSD) and the conditional risk for developing PTSD is even higher for Black individuals. Exposure to racial discrimination, including at both interpersonal and structural levels, helps explain this health inequity. Yet, the relationship between racial discrimination and biological processes in the context of traumatic injury has yet to be fully explored. The current study examined whether racial discrimination is associated with a cumulative measure of biological stress, the gene expression profile conserved transcriptional response to adversity (CTRA), in Black trauma survivors. Two-weeks (T1) and six-months (T2) post-injury, Black participants (N = 94) provided a blood specimen and completed assessments of lifetime racial discrimination and PTSD symptoms. Mixed effect linear models evaluated the relationship between change in CTRA gene expression and racial discrimination while adjusting for age, gender, body mass index (BMI), smoking history, heavy alcohol use history, and trauma-related variables (mechanism of injury, lifetime trauma). Results revealed that for individuals exposed to higher levels of lifetime racial discrimination, CTRA significantly increased between T1 and T2. Conversely, CTRA did not increase significantly over time in individuals exposed to lower levels of lifetime racial discrimination. Thus, racial discrimination appeared to lead to a more sensitized biological profile which was further amplified by the effects of a recent traumatic injury. These findings replicate and extend previous research elucidating the processes by which racial discrimination targets biological systems.

Racial discrimination increases the risk for nonremitting posttraumatic stress disorder symptoms in traumatically injured Black individuals living in the United States.

Traumatic, life-threatening events are experienced commonly among the general U.S. population, yet Black individuals in the United States (i.e., Black Americans) exhibit higher prevalence rates of posttraumatic stress disorder (PTSD) and more severe symptoms than other populations. Although empirical research has noted a range of symptom patterns that follow traumatic injury, minimal work has examined the role of racial discrimination in relation to PTSD symptom trajectories. The current study assessed racial discrimination and PTSD symptom trajectories at 6 months postinjury across two separate samples of traumatically injured Black Americans (i.e. emergency department (ED)-discharged and hospitalized). Identified PTSD symptom trajectories largely reflect those previously reported (i.e., ED: nonremitting, moderate, remitting, and resilient; hospitalized: nonremitting, delayed, and resilient), although the resilient trajectory was less represented than expected given past research (ED: 55.8%, n = 62; hospitalized: 46.9%, n = 38). Finally, higher racial discrimination was associated with nonremitting, ED: relative risk ratio (RR) = 1.32, hospitalized: RR = 1.23; moderate, ED: RR = 1.18; and delayed, hospitalized: RR = 1.26, PTSD symptom trajectories. Overall, the current findings not only emphasize the inimical effects of racial discrimination but also demonstrate the unique ways in which race-related negative events can impact PTSD symptom levels and recovery across time.

Attributional negativity bias and acute stress disorder symptoms mediate the association between trauma history and future posttraumatic stress disorder.

Individuals who have experienced more trauma throughout their life have a heightened risk of developing posttraumatic stress disorder (PTSD) following injury. Although trauma history cannot be retroactively modified, identifying the mechanism(s) by which preinjury life events influence future PTSD symptoms may help clinicians mitigate the detrimental effects of past adversity. The current study proposed attributional negativity bias, the tendency to perceive stimuli/events as negative, as a potential intermediary in PTSD development. We hypothesized an association between trauma history and PTSD symptom severity following a new index trauma via heightened negativity bias and acute stress disorder (ASD) symptoms. Recent trauma survivors (N =189, 55.5% women, 58.7% African American/Black) completed assessments of ASD, negativity bias, and lifetime trauma 2-weeks postinjury; PTSD symptoms were assessed 6 months later. A parallel mediation model was tested with bootstrapping (10,000 resamples). Both negativity bias, Path b1 : ß = -.24, t(187) = -2.88, p = .004, and ASD symptoms, Path b2 : ß = .30, t(187) = 3.71, p < .001, fully mediated the association between trauma history and 6-month PTSD symptoms, full model: F(6, 182) = 10.95, p < .001, R 2 = .27; Path c': ß = .04, t(187) = 0.54, p = .587. These results suggest that negativity bias may reflect an individual cognitive difference that can be further activated by acute trauma. Moreover, negativity bias may be an important, modifiable treatment target, and interventions addressing both acute symptoms and negativity bias in the early posttrauma period may weaken the link between trauma history and new-onset PTSD.

Comparing Traumatic Brain Injury Symptoms Reported via Questionnaires Versus a Novel Structured Interview.

OBJECTIVE: Mild traumatic brain injury (mTBI) symptoms are typically assessed via questionnaires in research, yet questionnaires may be more prone to biases than direct clinical interviews. We compared mTBI symptoms reported on two widely used self-report inventories and the novel Structured Interview of TBI Symptoms (SITS). Second, we explored the association between acquiescence response bias and symptom reporting across modes of assessment. METHOD: Level 1 trauma center patients with mTBI (N = 73) were recruited within 2 weeks of injury, assessed at 3 months post-TBI, and produced nonacquiescent profiles. Assessments collected included the SITS (comprising open-ended and closed-ended questions), Rivermead Post Concussion Symptoms Questionnaire (RPQ), Sport Concussion Assessment Tool-3 (SCAT-3) symptom checklist, and Minnesota Multiphasic Personality Inventory-2 Restructured Form True Response Inconsistency (TRIN-r) scale. RESULTS: Current mTBI symptom burden and individual symptom endorsement were highly concordant between SITS closed-ended questions, the RPQ, and the SCAT-3. Within the SITS, participants reported significantly fewer mTBI symptoms to open-ended as compared to later closed-ended questions, and this difference was weakly correlated with TRIN-r. Symptom scales were weakly associated with TRIN-r. CONCLUSIONS: mTBI symptom reporting varies primarily by whether questioning is open- vs. closed-ended but not by mode of assessment (interview, questionnaire). Acquiescence response bias appears to play a measurable but small role in mTBI symptom reporting overall and the degree to which participants report more symptoms to closed- than open-ended questioning. These findings have important implications for mTBI research and support the validity of widely used TBI symptom inventories.

Machine learning prediction of posttraumatic stress disorder trajectories following traumatic injury: Identification and validation in two independent samples.

Due to its heterogeneity, the prediction of posttraumatic stress disorder (PTSD) development after traumtic injury is difficult. Recent machine learning approaches have yielded insight into predicting PTSD symptom trajectories. Using data collected within 1 month of traumatic injury, we applied eXtreme Gradient Boosting (XGB) to classify admitted and discharged patients (hospitalized, n = 192; nonhospitalized, n = 214), recruited from a Level 1 trauma center, according to PTSD symptom trajectories. Trajectories were identified using latent class mixed models on PCL-5 scores collected at baseline, 1-3 months posttrauma, and 6 months posttrauma. In both samples, nonremitting, remitting, and resilient PTSD symptom trajectories were identified. In the admitted patient sample, a unique delayed trajectory emerged. Machine learning classifiers (i.e., XGB) were developed and tested on the admitted patient sample and externally validated on the discharged sample with biological and clinical self-report baseline variables as predictors. For external validation sets, prediction was fair for nonremitting versus other trajectories, areas under the curve (AUC = .70); good for nonremitting versus resilient trajectories, AUCs = .73-.76; and prediction failed for nonremitting versus remitting trajectories, AUCs = .46-.48. However, poor precision (< .57) across all models suggests limited generalizability of nonremitting symptom trajectory prediction from admitted to discharged patient samples. Consistency in symptom trajectory identification across samples supports prior studies on the stability of PTSD symptom trajectories following trauma exposure; however, continued work and replication with larger samples are warranted to understand overlapping and unique predictive features of PTSD in different traumatic injury populations.

The role of pain and socioenvironmental factors on posttraumatic stress disorder symptoms in traumatically injured adults: A 1-year prospective study.

Approximately 20% of individuals who experience a traumatic injury will subsequently develop posttraumatic stress disorder (PTSD). Physical pain following traumatic injury has received increasing attention as both a distinct, functionally debilitating disorder and a comorbid symptom related to PTSD. Studies have demonstrated that both clinician-assessed injury severity and patient pain ratings can be important predictors of nonremitting PTSD; however, few have examined pain and PTSD alongside socioenvironmental factors. We postulated that both area- and individual-level socioeconomic circumstances and lifetime trauma history would be uniquely associated with PTSD symptoms and interact with the pain-PTSD association. To test these effects, pain and PTSD symptoms were assessed at four visits across a 1-year period in a sample of 219 traumatically injured participants recruited from a Level 1 trauma center. We used a hierarchal linear modeling approach to evaluate whether (a) patient-reported pain ratings were a better predictor of PTSD than clinician-assessed injury severity scores and (b) socioenvironmental factors, specifically neighborhood socioeconomic disadvantage, individual income, and lifetime trauma history, influenced the pain-PTSD association. Results demonstrated associations between patient-reported pain ratings, but not clinician-assessed injury severity scores, and PTSD symptoms, R2( fvm ) = .65. There was a significant interaction between neighborhood socioeconomic disadvantage and pain such that higher disadvantage decreased the strength of the pain-PTSD association but only among White participants, R2( fvm ) = .69. Future directions include testing this question in a larger, more diverse sample of trauma survivors (e.g., geographically diverse) and examining factors that may alleviate both pain and PTSD symptoms.

Responding to the Psychological Needs of Health-Care Workers During the COVID-19 Pandemic: Case Study from the Medical College of Wisconsin.

With the advent of the novel coronavirus (COVID-19) pandemic, health-care workers have been faced with an inordinately high level of trauma as frontline providers. The Medical College of Wisconsin (MCW) partnered with affiliate hospitals and community partners to mobilize a matrix of available support and interventions to deliver psychological services to reach all levels of health-care providers in timely, accessible formats. While virtual peer support groups were the most utilized resource among the support group options, other opportunities also provided unique benefits to learners whose education had been disrupted by the pandemic. Mental health must be prioritized for health-care workers in the event of future public health crises. Lessons learned from this pandemic indicate that it is critical to involve learners early on in the process in order to meet their educational needs and to increase access to evidence-based care.

Racial Discrimination is Associated with Acute Posttraumatic Stress Symptoms and Predicts Future Posttraumatic Stress Disorder Symptom Severity in Trauma-Exposed Black Adults in the United States.

In the United States, Black residents exposed to a traumatic event are at an increased risk of developing posttraumatic stress disorder (PTSD) and experiencing more severe symptoms compared to their non-Hispanic White counterparts. Although previous work has suggested a link between racial discrimination and PTSD symptoms, no studies have assessed this association in a sample of traumatic injury survivors. The current study investigated whether (a) past racial discrimination was associated with acute posttraumatic stress symptoms (PTSS) and (b) discrimination prospectively contributed to the prediction of future PTSD symptoms. African American and/or Black patients (N = 113) were recruited from an emergency department in southeastern Wisconsin. Patients in the acute postinjury phase (i.e., 2 weeks posttrauma) completed self-report measures, with PTSD symptoms assessed using the Clinician-Administered PTSD Scale at 6-month follow-up. Bivariate associations indicated past racial discrimination was significantly related to acute PTSS. A multiple regression analysis revealed that pretrauma exposure to racial discrimination significantly predicted PTSD symptoms at follow-up, even after controlling for age, gender, previous psychiatric diagnosis, social support, and lifetime trauma history. Our results suggest that experiences of racial discrimination add significant additional risk for PTSD symptom development following traumatic injury, R2 = .16, F(6, 106) = 3.25, p = .006. Broadly, these findings add to the body of empirical evidence and personal testimonies of Black individuals in White-centric societies asserting that racial discrimination affects mental health and overall well-being and further highlight the recent call for racism to be classified as a public health crisis.

A Randomized Trial of Modified Prolonged Exposure to Prevent the Development of Posttraumatic Stress Disorder in Patients Hospitalized With Traumatic Injuries.

Individuals who require hospitalization after traumatic injuries are at increased risk for developing posttraumatic stress disorder (PTSD); however, few early behavioral interventions have been effective at preventing PTSD within this population. The aim of this pilot study was to assess the feasibility and effectiveness of modified prolonged exposure therapy (mPE) to prevent PTSD and depression symptoms among patients hospitalized after a DSM-5 single-incident trauma. Hospitalized patients were eligible if they screened positive for PTSD risk. Participants (N = 74) were randomly assigned in a parallel-groups design to receive mPE (n = 38) or standard of care treatment (SoC; n = 36) while admitted to the hospital after a traumatic injury. Individuals randomized to the intervention condition received one (42.1%), two (36.8%), or three sessions (15.8%) of mPE, mainly depending on length of stay. There were no significant differences between groups regarding PTSD or depression severity at 1- or 3-months posttrauma, except for more PTSD diagnoses in the intervention group after 1 month, ϕ = -.326. Intervention differences were nonsignificant when we took baseline PTSD symptoms and the nonindependence of the repeated measurements within the data into account. No adverse events were reported. Overall, mPE was no more effective than SoC for hospitalized, traumatic injury survivors with a high PTSD risk. The results may point to a need for a stepped-care approach, where intervention protocols focus on first briefly treating individuals who are actively exhibiting acute stress reactions, then extensively treating those whose symptoms do not decrease over time.

Validation of Abbreviated Four- and Eight-Item Versions of the PTSD Checklist for DSM-5 in a Traumatically Injured Sample.

Rates of posttraumatic stress disorder (PTSD) are three times higher in traumatically injured populations than the general population, yet limited brief, valid measures for assessing PTSD symptom severity exist. The PTSD Checklist for DSM-5 (PCL-5) is a valid, efficient measure of symptom severity, but its completion is time consuming. Subsequently, abbreviated four- and eight-item versions were developed using the Mini-International Neuropsychiatric Interview-7 PTSD module and validated in Veteran samples. This study aimed to validate these abbreviated versions using the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5), the gold standard for PTSD diagnosis, in a traumatically injured civilian population. Participants were 251 traumatically injured adults (Mage = 42.52 years; 69.3% male; 50.2% Caucasian) recruited from a Level 1 trauma center inpatient unit; 32.3% and 17.9% of participants experienced a motor vehicle crash or gunshot wound, respectively. The CAPS-5 and PCL-5 were administered approximately 6.5 months postinjury. We examined whether compared to the full PCL-5, the abbreviated versions would adequately differentiate between participants with and without a CAPS-5 PTSD diagnosis. The abbreviated versions were highly correlated with the total scale and showed good-to-excellent internal consistency. The diagnostic utility of the abbreviated measures was comparable to that of the total scale regarding sensitivity, suggesting they may be useful as abbreviated screening tools; however, the total scale functioned better regarding specificity. The abbreviated versions of the PCL-5 may be useful screening instruments in the long-term care of traumatic injury survivors and may be more likely to be implemented across routine clinical and research contexts.

Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study.

BACKGROUND: Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measured by the Clinician-Administered PTSD Scale (CAPS) within 60 days of trauma exposure, can reliably produce likelihood estimates of chronic PTSD among trauma survivors admitted to acute care centers. Administering the CAPS is burdensome, requires skilled professionals, and relies on symptoms that are not fully expressed upon acute care admission. Predicting chronic PTSD from peritraumatic responses, which are obtainable upon acute care admission, has yielded conflicting results, hence the rationale for a stepwise screening-and-prediction practice. This work explores the ability of peritraumatic responses to produce risk likelihood estimates of early CAPS-based PTSD symptoms indicative of chronic PTSD risk. It specifically evaluates the Peritraumatic Dissociative Experiences Questionnaire (PDEQ) as a risk-likelihood estimator. METHODS: We used individual participant data (IPD) from five acute care studies that used both the PDEQ and the CAPS (n = 647). Logistic regression calculated the probability of having CAPS scores ≥ 40 between 30 and 60 days after trauma exposure across the range of initial PDEQ scores, and evaluated the added contribution of age, sex, trauma type, and prior trauma exposure. Brier scores, area under the receiver-operating characteristic curve (AUC), and the mean slope of the calibration line evaluated the accuracy and precision of the predicted probabilities. RESULTS: Twenty percent of the sample had CAPS ≥ 40. PDEQ severity significantly predicted having CAPS ≥ 40 symptoms (p < 0.001). Incremental PDEQ scores produced a reliable estimator of CAPS ≥ 40 likelihood. An individual risk estimation tool incorporating PDEQ and other significant risk indicators is provided. CONCLUSION: Peritraumatic reactions, measured here by the PDEQ, can reliably quantify the likelihood of acute PTSD symptoms predictive of chronic PTSD and requiring clinical attention. Using them as a screener in a stepwise chronic PTSD prediction strategy may reduce the burden of later CAPS-based assessments. Other peritraumatic metrics may perform similarly and their use requires similar validation. TRIAL REGISTRATION: Jerusalem Trauma Outreach and Prevention Study (J-TOPS): NCT00146900.

Correction to: Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study.

An amendment to this paper has been published and can be accessed via the original article.

Clinical implications of the proposed ICD-11 PTSD diagnostic criteria.

BACKGROUND: Projected changes to post-traumatic stress disorder (PTSD) diagnostic criteria in the upcoming International Classification of Diseases (ICD)-11 may affect the prevalence and severity of identified cases. This study examined differences in rates, severity, and overlap of diagnoses using ICD-10 and ICD-11 PTSD diagnostic criteria during consecutive assessments of recent survivors of traumatic events. METHODS: The study sample comprised 3863 survivors of traumatic events, evaluated in 11 longitudinal studies of PTSD. ICD-10 and ICD-11 diagnostic rules were applied to the Clinician-Administered PTSD Scale (CAPS) to derive ICD-10 and ICD-11 diagnoses at different time intervals between trauma occurrence and 15 months. RESULTS: The ICD-11 criteria identified fewer cases than the ICD-10 across assessment intervals (range -47.09% to -57.14%). Over 97% of ICD-11 PTSD cases met concurrent ICD-10 PTSD criteria. PTSD symptom severity of individuals identified by the ICD-11 criteria (CAPS total scores) was 31.38-36.49% higher than those identified by ICD-10 criteria alone. The latter, however, had CAPS scores indicative of moderate PTSD. ICD-11 was associated with similar or higher rates of comorbid mood and anxiety disorders. Individuals identified by either ICD-10 or ICD-11 shortly after traumatic events had similar longitudinal course. CONCLUSIONS: This study indicates that significantly fewer individuals would be diagnosed with PTSD using the proposed ICD-11 criteria. Though ICD-11 criteria identify more severe cases, those meeting ICD-10 but not ICD-11 criteria remain in the moderate range of PTSD symptoms. Use of ICD-11 criteria will have critical implications for case identification in clinical practice, national reporting, and research.

Detecting PTSD in a traumatically injured population: The diagnostic utility of the PTSD Checklist for DSM-5.

BACKGROUND: The posttraumatic stress disorder (PTSD) Checklist for DSM-5 (PCL-5) is among few validated measures of PTSD severity in line with the DSM-5. Validation efforts among veteran samples have recommended cut scores of 33 and 38 to indicate PTSD; cut scores vary across populations depending on factors such as trauma type. The purpose of this study was to evaluate the diagnostic utility of and identify optimal cut scores for the PCL-5 in relation to the gold standard Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) among traumatically injured individuals 6 months after discharge from a level I trauma center. METHODS: A total of 251 participants completed the PCL-5 and CAPS-5 6 months after discharge from a level I trauma center following traumatic injury. Receiver operating characteristic curve analyses detailed diagnostic accuracy of the PCL-5 and identified the optimal cut score via Youden's J index. Cut scores were also broken down by intentional versus nonintentional injury. RESULTS: The PCL-5 produces satisfactory diagnostic accuracy, with adequate sensitivity and specificity, in a traumatically injured population. Estimates indicate the optimal cut score as >30; the optimal cut score for intentional injuries was >34 and >22 for nonintentional injuries. CONCLUSIONS: This investigation provides support for the PCL-5 in detection of PTSD among injured individuals 6 months after discharge from a level I trauma center. PCL-5 specificity and sensitivity suggest clinicians working with this population can feel confident in using this measure over more onerous structured interviews (e.g., CAPS-5). This study signifies a move toward ensuring those experiencing mental health difficulties after traumatic injury are identified and connected to resources.

Differentiating PTSD from anxiety and depression: Lessons from the ICD-11 PTSD diagnostic criteria.

OBJECTIVE: Posttraumatic stress disorder (PTSD) is frequently associated with depression and anxiety, but the nature of the relationship is unclear. By removing mood and anxiety diagnostic criteria, the 11th edition of the International Classification of Diseases (ICD-11) aims to delineate a distinct PTSD phenotype. We examined the effect of implementing ICD-11 criteria on rates of codiagnosed depression and anxiety in survivors with recent PTSD. METHOD: Participants were 1,061 survivors of traumatic injury admitted to acute care centers in Israel. ICD-10 and ICD-11 diagnostic rules were applied to the Clinician-Administered PTSD Scale for DSM-IV. Co-occurring disorders were identified using the Structured Clinical Interview for DSM-IV (SCID). Depression severity was measured by the Beck Depression Inventory-II (BDI-II). Assessments were performed 0-60 ("wave 1") and 90-240 ("wave 2") days after trauma exposure. RESULTS: Participants identified by ICD-11 PTSD criteria were equally or more likely than those identified by the ICD-10 alone to meet depression or anxiety disorder diagnostic criteria (for wave 1: depressive disorders, OR [odds ratio] = 1.98, 95% CI [confidence interval] = [1.36, 2.87]; anxiety disorders, OR = 1.04, 95% CI = [0.67, 1.64]; for wave 2: depressive disorders, OR = 1.70, 95% CI = [1.00, 2.91]; anxiety disorders, OR = 1.04, 95% CI = [0.54, 2.01]). ICD-11 PTSD was associated with higher BDI scores (M = 23.15 vs. 17.93, P < 0.001 for wave 1; M = 23.93 vs. 17.94, P < 0.001 for wave 2). PTSD symptom severity accounted for the higher levels of depression in ICD-11 PTSD. CONCLUSIONS: Despite excluding depression and anxiety symptom criteria, the ICD-11 identified equal or higher proportion of depression and anxiety disorders, suggesting that those are inherently associated with PTSD.

Area deprivation index and social vulnerability index in Milwaukee County: Impact on hospital outcomes after traumatic injuries.

BACKGROUND: Predisposing factors for traumatic injuries are complex and variable. Neighborhood environments may influence injury mechanism or outcomes. The Social Vulnerability Index (SVI) identifies areas at risk for emergencies; Area Deprivation Index (ADI) measures socioeconomic disadvantage. The objective was to assess the impact of SVI or ADI on hospital length of stay (LOS) and mortality for injured patients to determine whether SVI or ADI indicated areas where injury prevention may be most impactful. METHODS: Adult patients who resided in Milwaukee County and were treated for injuries from 2015 to 2022 at a level I trauma center were included. Patients' addresses were geocoded and merged with 2020 state-level SVI and ADI measures. SVI ranks census tracts 0-100 from least to most vulnerable. ADI ranks census block groups 1-10 from least to most disadvantaged. ADI and SVI rankings were converted to deciles. Statistical analyses included descriptive statistics, chi-square tests, and regression models for LOS and in-hospital mortality, adjusted for either SVI or ADI within separate models, age, sex, race or ethnicity, mechanism of injury (MOI), injury severity score (ISS). RESULTS: 14,542 patients were included; 63 % were male. Mean total hospital LOS was 6.4 ± 9.8 days, and in-hospital mortalities occurred in 5.2 % of patients. Based on SVI and ADI, 5,280 (36 %) patients resided in high vulnerability areas and 5,576 (39 %) lived in highly disadvantaged areas, respectively. After adjusting for patient factors, SVI deciles #6, 9, 10 were associated with increased hospital LOS, and SVI decile #5 was associated with in-hospital mortality (OR = 2.22, 95 %CI:1.06-4.63; p = 0.034). When adjusted for ADI, the 7th-10th deciles were associated with increased hospital LOS. Greater age and ISS were associated with increased hospital LOS and mortality when adjusted for SVI and ADI. CONCLUSIONS: SVI and ADI identified a similar proportion of patients in high vulnerability or disadvantaged areas. Higher SVI and ADI deciles were associated with longer hospital LOS, and only the 5th SVI decile was associated with in-hospital mortality. Highly disadvantaged or vulnerable areas may have a longer LOS, but SVI and ADI have limited influence on trauma mortality. Continued research on neighborhood and community factors and trauma outcomes is needed.

Subtypes of childhood maltreatment and posttraumatic stress disorder symptoms in an adult trauma sample: The mechanistic role of sleep.

OBJECTIVE: Childhood maltreatment is indisputably linked to adverse mental health outcomes, including an increased risk to develop posttraumatic stress disorder (PTSD) in adulthood. The role of childhood maltreatment in the context of recovery from a trauma later in adulthood is not well understood. A variable related to both childhood maltreatment and PTSD symptoms, and a potential link between the two, is sleep. The current study aimed to understand how sleep disturbances may play a mechanistic role in the effect of subtypes of childhood maltreatment on PTSD symptom severity in an adult trauma sample. METHOD: 160 adults (90 women; Mage = 33.73, SD = 10.86) were recruited from the emergency department at a Level-1 trauma center in southeastern Wisconsin after experiencing a traumatic injury. Experiences of childhood maltreatment and sleep were self-reported at 2-week and 3-month posttrauma, respectively. PTSD symptoms were clinically assessed 6 months later. RESULTS: Sleep disturbances 3-month posttrauma mediated the effect of emotional abuse, physical neglect, and emotional neglect on PTSD symptom 6 months after the traumatic injury. The effect of sexual and physical abuse on PTSD symptoms was not significantly mediated by sleep disturbances. CONCLUSIONS: These findings highlight the differential impact of subtypes of childhood maltreatment on PTSD symptoms, the mechanistic role of sleep, and the need to consider early life adversity when assessing adult posttrauma experiences. These results also suggest that interventions aimed at improving sleep quality might improve PTSD symptoms in those who have experienced childhood maltreatment and a subsequent traumatic injury in adulthood. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Trajectories of Anhedonia Symptoms after Traumatic Injury.

Anhedonia describes the inability or difficulty of experiencing or seeking pleasure. Previous research has demonstrated a relationship between posttraumatic stress disorder (PTSD) or experiencing trauma and anhedonia symptoms; however, little to no work has been done to understand the evolution of anhedonia symptoms after trauma. We aimed to identify anhedonia trajectories following traumatic injury. One hundred ninety-five participants were recruited from the emergency department of a Level-1 Trauma Center after experiencing a traumatic injury. To measure anhedonia symptoms, participants completed the Snaith-Hamilton Pleasure Scale (SHAPS) at 2-weeks, 3-months, and 6-months post-injury. Using latent class mixture modeling, we ran a trajectory analysis with three timepoints of SHAPS scores and compared mental and physical health outcomes across trajectories. Most of the sample fell in the resilient trajectory (85%), while the remainder were in a remitting trajectory (7%) where symptoms decreased over time, and a delayed (6%) trajectory where symptoms did not emerge until 3-months after injury. In the resilient trajectory, there was consistently low levels of PTSD, pain, depression, and anxiety relative to the other trajectories. In the delayed trajectory, depression and PTSD were chronically elevated and pain levels were consistent but mild. In the remitting trajectory, PTSD and depression symptoms decreased over time. Identified anhedonia trajectories mirrored trajectories commonly reported for PTSD symptoms after injury. Evaluating anhedonia trajectories and how they relate to mental health outcomes may inform targeted interventions for traumatic injury patients.