Reward neurocircuitry predicts longitudinal changes in alcohol use following trauma exposure.

BACKGROUND: Trauma is a risk factor for developing maladaptive alcohol use. Preclinical research has shown that stress alters the processing of midbrain and striatal reward and incentive signals. However, little research has been conducted on alterations in reward-related neurocircuitry post-trauma in humans. Neuroimaging markers may be particularly useful as they can provide insight into the mechanisms that may make an individual vulnerable to developing trauma-related psychopathologies. This study aimed to identify reward-related neural correlates associated with changes in alcohol use after trauma exposure. METHODS: Participants were recruited from U.S. emergency departments for the AURORA study (N=286, 178 female). Trauma-related change in alcohol use at 8 weeks post-trauma relative to pre-trauma was quantified as a change in 30-day total drinking per the PhenX Toolkit Alcohol 30-Day Quantity and Frequency Measure. Reward-related neurocircuitry activation and functional connectivity (FC) were assessed 2 weeks post-trauma using fMRI during a monetary reward task using region of interest and whole-brain voxelwise analyses. RESULTS: Greater increase in alcohol use from pre-trauma to 8 weeks post-trauma was predicted by (1) greater ventral tegmental area (VTA) and (2) greater cerebellum activation during Gain>Loss trials measured 2 weeks post-trauma and (3) greater seed-based FC between the VTA and lateral occipital cortex and precuneus. CONCLUSIONS: Altered VTA activation and FC early post-trauma may be associated with reward-seeking and processing, contributing to greater alcohol use post-trauma. These data provide novel evidence of neural correlates that underlie increased alcohol use early post-trauma that may be targeted via early interventions to prevent the development of maladaptive alcohol use.

No association of posttraumatic stress disorder with epigenetic aging in women at mid-life: A longitudinal cohort study.

Posttraumatic stress disorder (PTSD) is associated with mortality and increased risk of diseases of aging, but underlying mechanisms remain unclear. We examine associations of PTSD with one potential pathway, accelerated epigenetic aging. In a longitudinal cohort of trauma-exposed middle-aged women (n = 831, n observations = 1,516), we examined cross-sectional and longitudinal associations between PTSD, with and without comorbid depression, and epigenetic aging measured by six clocks at two time points approximately 13.5 years apart: Hannum, Horvath, PhenoAge, GrimAge, DunedinPoAM, and DunedinPACE. We further examined associations of 3 well-established predictors of aging and mortality also linked with PTSD, namely, body mass index (BMI), diet quality, and physical activity, with epigenetic aging. Cross-sectionally, across all six clocks, epigenetic aging in women with PTSD alone, depression alone, and co-occurring depression and PTSD did not differ from the reference group of women without PTSD or depression in analyses adjusted for age, self-reported race, cell proportions, and ancestry principal components. In longitudinal analyses, we similarly did not find any difference in change in epigenetic age over time by PTSD and depression status at baseline. Among the health factors, in cross-sectional analyses, higher BMI was significantly and consistently associated with greater epigenetic aging measured by the PhenoAge, GrimAge, DunedinPoAM, and DunedinPACE clocks, but not measured by the Hannum or Horvath clocks. Physical activity was not consistently associated with epigenetic aging measured by Hannum, Horvath, PhenoAge, or GrimAge. In analyses with the DunedinPoAm and DunedinPACE clocks, women who reported exercise equivalent to 1 or more hours/week walking had slower epigenetic aging than women with less exercise. Diet quality was not consistently associated with epigenetic aging measured by any of the clocks. Our data do not provide evidence that biological aging, as measured by any of the six epigenetic clocks, is a pathway linking PTSD with mortality and diseases of aging.

Psychological resilience, resilient coping, and health behaviors among adults in Puerto Rico after multiple adverse events.

Objective: Residents of Puerto Rico have recently experienced multiple adverse events, including hurricanes, earthquakes, and political unrest. Such adversity is associated with worse mental and physical health. Psychological resilience and effective coping may mitigate these relations by fostering positive health behaviors, like consuming a high-quality diet and being physically active. However, empirical evidence for these relationships is limited. Methods: We assessed psychological resilience, resilient coping, and health behaviors among two groups of adults in Puerto Rico, before and during the pandemic, in 2019-2023 (total N = 1,342). Resilience and resilient coping were assessed using the Brief Resilience Scale and Brief Resilient Coping Scale. Diet quality was defined by the Alternate Healthy Eating Index from a food frequency questionnaire. We collected data on sleep, physical activity, alcohol intake, and tobacco use using validated questionnaires. Results: Adjusting for confounders, higher resilience z-scores were associated with being in the highest category of diet quality [OR: 1.25, 95 % CI: 1.04, 1.50]; getting 7-8 h of sleep per night [OR: 1.15, 95 % CI: 1.02,1.30]; and reporting moderate or heavy physical activity (vs. light or sedentary) [OR: 1.17, 95 % CI: 1.02,1.34]. The same patterns were observed for higher resilient coping z-scores, and for categorical measures of resilience and resilient coping. These relationships were stronger among participants interviewed during (vs. before) the COVID-19 pandemic, suggesting that resilience and resilient coping may be particularly relevant during an ongoing stressor. Conclusion: Identifying supportive strategies to cultivate resilience and effective coping mechanisms may contribute to healthier behaviors, particularly in a vulnerable population.

An Examination of Sleep as a Protective Factor for Depression and Anxiety in the Perinatal Period: Novel Causal Analyses in a Prospective Pregnancy Cohort.

Sleep problems are common in the perinatal period. But the effects of sleep health on long-term postpartum depression and anxiety are underexamined. Using marginal structural models, we estimated the effect of sustained restful sleep quality, or adequate sleep quantity, or both, on clinically significant depression and anxiety at 23- and 32-weeks gestation, and 8-weeks, 8-, and 21-months postpartum. Women (n = 9,211) in the Avon Longitudinal Study of Parents and Children cohort reported on sleep quality (difficulty falling asleep, and early morning awakening), sleep quantity (< or > 5 hours and perceived sleep adequacy), depression (Edinburgh Postnatal Depression Scale), and anxiety (Crown-Crisp Experiential Index). Analyses adjusted for fixed (maternal education, age, body mass index, parity, marital status, smoking) and time varying (alcohol use, psychosocial adversities, depression, anxiety or sleep problems at prior time periods) covariates. Descriptive analyses suggest that sleep alterations persist beyond the immediate postpartum period. Estimates of counterfactual prevalences of outcomes under restful sleep quality and adequate sleep suggest a reduction of the population burden of clinically significant depression between 2.4% - 5.9%, and anxiety by 3.4% - 8.0% for the time points assessed. Interventions for perinatal sleep problems may reduce clinically significant depression and anxiety.

The link Between traumatic experiences and health in late life: challenges and opportunities for US-based longitudinal aging cohorts.

Trauma, defined as exposure to actual or threatened death, serious injury or sexual violence, is a pervasive, major public health challenge that disproportionately burdens socially disadvantaged groups and has known consequences for health outcomes in early and midlife. Despite plausible mechanisms by which trauma may also be a critically important risk factor for health outcomes in late life, there is presently a lack of literature evaluating the consequences of trauma on aging related health outcomes and inequities, such as dementia. In this commentary, we (a) discuss drivers of the paucity of epidemiological evidence on trauma and health outcomes in late life, namely a lack of available data, supported by detailed review of trauma measures, including interpersonal violence-a particularly common form of trauma-in seven established longitudinal aging cohort studies in the United States (US); (b) address four common concerns about the inclusion of trauma measures in cohort studies; and (c) suggest ways forward, including specific assessment tools to measure interpersonal violence after a structured review of the PhenX Toolkit, to facilitate critical research to understand the impact of trauma on outcomes in late life.

Trajectories of posttraumatic stress symptoms following collective violence: A systematic review and meta-analyses.

Although collective violence represents a significant public health concern, a limited number of longitudinal studies have addressed this topic, with no systematic reviews focusing on posttraumatic stress symptom (PTSS) trajectories. The present systematic review and meta-analyses examined PTSS prevalence and trajectories after exposure to collective violence. A systematic literature search across six databases (APA PsycInfo, APA PsycArticles, PSYINDEX, MEDLINE, ERIC, and PubMed) identified 771 studies that were screened for the following eligibility criteria: exposure to collective violence, adult sample, longitudinal design, PTSS assessment using validated measures, PTSS trajectories estimated using latent growth modeling, and report sample prevalence rate for each trajectory. Ten studies met the criteria, and five meta-analyses were performed to assess the overall prevalence of each trajectory. Most included studies (63.6%) identified four trajectories, characterized as low-stable, high-stable, decreasing, and delayed-worsening. The low-stable trajectory was the modal response, with a pooled prevalence of 58.0%, 95% CI [51.0, 65.0]. The high-stable prevalence was 7.0%, 95% CI [4.0, 19.0]; the decreasing trajectory was 13%, 95% CI [9.0, 17.0]; and the delayed-worsening trajectory was 8.0%, 95% CI [5.0, 10.0]. A fifth trajectory, moderately stable, had a prevalence of 19.0%, 95% CI [9.0, 29.0]. The trajectory models robustly identified clinically relevant patterns of response to collective violence, offering a contribution to the literature and a starting point for future research. Further studies are needed, as a better comprehension of symptom trajectories after collective violence events has important clinical and public health implications.

Evaluation of the psychometric properties of the UBACC questionnaire in a multi-country psychiatric study in Africa.

BACKGROUND: The University of California, San Diego Brief Assessment of Capacity to Consent (UBACC) is a tool to assess the capacity of participants to consent in psychiatric research. However, little is known about the psychometric properties in low and middle-income countries. This study aimed to examine the psychometric properties of the UBACC. METHODS: We examined the reliability, latent factor structure, and item response of the first attempt of the UBACC items in a sample of 32,208 adults (16,467 individuals with psychosis and 15,741 controls) in Ethiopia, Kenya, South Africa, and Uganda; exploring these properties in the full sample and stratified by country, diagnostic status, sex, and ethnolinguistic language groups. RESULTS: Exploratory factor analysis (EFA) suggested a two-factor model for the overall sample. However, a three-factor model was more appropriate when examining the latent structure across country, language, and sex. Confirmatory factor analyses (CFA) revealed an adequately fitting three-factor model for the full sample and across country, sex, and language. A two-factor model, however, was more appropriate for English and Amharic languages. Across all groups, the internal consistency of the UBACC was low, indicating below-threshold reliability (Cronbach's α (95 % CI = 0.58 (0.57-0.59). Using a multidimensional item-response theory framework for the full sample revealed that UBACC item 8, measuring understanding of the benefits of study participation, was the most discriminating item. Many of the other items had below-threshold discriminating characteristics. CONCLUSION: EFA and CFA converged towards a two and three-dimensional structure for the UBACC, in line with the developers of the original scale. The differences in properties between populations and language groups, low internal consistency, and below-threshold item functioning suggest that investigations into the cultural and linguistic nuances are still warranted. Understanding the utility of consent tools, such as the UBACC, in underrepresented populations will be a part of the larger process which ensures that research participants are adequately protected.

Comorbidity Profiles of Posttraumatic Stress Disorder Across the Medical Phenome.

Background: Previous epidemiological research has linked posttraumatic stress disorder (PTSD) with specific physical health problems, but the comprehensive landscape of medical conditions associated with PTSD remains uncharacterized. Electronic health records provide an opportunity to overcome clinical knowledge gaps and uncover associations with biological relevance that potentially vary by sex. Methods: PTSD was defined among biobank participants (N = 145,959) in 3 major healthcare systems using 2 ICD code-based definitions: broad (≥1 PTSD or acute stress codes vs. 0; n cases = 16,706) and narrow (≥2 PTSD codes vs. 0; n cases = 3325). Using a phenome-wide association study design, we tested associations between each PTSD definition and all prevalent disease umbrella categories, i.e., phecodes. We also conducted sex-stratified phenome-wide association study analyses including a sex × diagnosis interaction term in each logistic regression. Results: A substantial number of phecodes were significantly associated with PTSDNarrow (61%) and PTSDBroad (83%). While the strongest associations were shared between the 2 definitions, PTSDBroad captured 334 additional phecodes not significantly associated with PTSDNarrow and exhibited a wider range of significantly associated phecodes across various categories, including respiratory, genitourinary, and circulatory conditions. Sex differences were observed in that PTSDBroad was more strongly associated with osteoporosis, respiratory failure, hemorrhage, and pulmonary heart disease among male patients and with urinary tract infection, acute pharyngitis, respiratory infections, and overweight among female patients. Conclusions: This study provides valuable insights into a diverse range of comorbidities associated with PTSD, including both known and novel associations, while highlighting the influence of sex differences and the impact of defining PTSD using electronic health records.

Posttraumatic stress disorder (PTSD) is a debilitating psychiatric disorder that some people develop following a traumatic event. In addition to mental symptoms, PTSD can impact human health in ways other ways; for example, there are many known conditions that co-occur with PTSD, such as cardiovascular conditions. In this study, we set out to understand the breadth and degree to which PTSD co-occurs with medical outcomes in a sample of over 146,000 patients across 3 large medical systems. We found that both narrowly and broadly defined PTSD diagnosis co-occurred with hundreds of medical conditions, and the strongest associations were with other psychiatric disorders, respiratory conditions (asthma, GERD), sleep-related conditions, and pain. These results provide insights into future genetic studies of PTSD in large-scale biobanks and deepen our understanding of the complex needs of patients with PTSD.

Neighborhood Resources Associated With Psychological Trajectories and Neural Reactivity to Reward After Trauma.

Importance: Research on resilience after trauma has often focused on individual-level factors (eg, ability to cope with adversity) and overlooked influential neighborhood-level factors that may help mitigate the development of posttraumatic stress disorder (PTSD). Objective: To investigate whether an interaction between residential greenspace and self-reported individual resources was associated with a resilient PTSD trajectory (ie, low/no symptoms) and to test if the association between greenspace and PTSD trajectory was mediated by neural reactivity to reward. Design, Setting, and Participants: As part of a longitudinal cohort study, trauma survivors were recruited from emergency departments across the US. Two weeks after trauma, a subset of participants underwent functional magnetic resonance imaging during a monetary reward task. Study data were analyzed from January to November 2023. Exposures: Residential greenspace within a 100-m buffer of each participant's home address was derived from satellite imagery and quantified using the Normalized Difference Vegetation Index and perceived individual resources measured by the Connor-Davidson Resilience Scale (CD-RISC). Main Outcome and Measures: PTSD symptom severity measured at 2 weeks, 8 weeks, 3 months, and 6 months after trauma. Neural responses to monetary reward in reward-related regions (ie, amygdala, nucleus accumbens, orbitofrontal cortex) was a secondary outcome. Covariates included both geocoded (eg, area deprivation index) and self-reported characteristics (eg, childhood maltreatment, income). Results: In 2597 trauma survivors (mean [SD] age, 36.5 [13.4] years; 1637 female [63%]; 1304 non-Hispanic Black [50.2%], 289 Hispanic [11.1%], 901 non-Hispanic White [34.7%], 93 non-Hispanic other race [3.6%], and 10 missing/unreported [0.4%]), 6 PTSD trajectories (resilient, nonremitting high, nonremitting moderate, slow recovery, rapid recovery, delayed) were identified through latent-class mixed-effect modeling. Multinominal logistic regressions revealed that for individuals with higher CD-RISC scores, greenspace was associated with a greater likelihood of assignment in a resilient trajectory compared with nonremitting high (Wald z test = -3.92; P < .001), nonremitting moderate (Wald z test = -2.24; P = .03), or slow recovery (Wald z test = -2.27; P = .02) classes. Greenspace was also associated with greater neural reactivity to reward in the amygdala (n = 288; t277 = 2.83; adjusted P value = 0.02); however, reward reactivity did not differ by PTSD trajectory. Conclusions and Relevance: In this cohort study, greenspace and self-reported individual resources were significantly associated with PTSD trajectories. These findings suggest that factors at multiple ecological levels may contribute to the likelihood of resiliency to PTSD after trauma.

Epigenome-wide association studies identify novel DNA methylation sites associated with PTSD: A meta-analysis of 23 military and civilian cohorts.

Background: The occurrence of post-traumatic stress disorder (PTSD) following a traumatic event is associated with biological differences that can represent the susceptibility to PTSD, the impact of trauma, or the sequelae of PTSD itself. These effects include differences in DNA methylation (DNAm), an important form of epigenetic gene regulation, at multiple CpG loci across the genome. Moreover, these effects can be shared or specific to both central and peripheral tissues. Here, we aim to identify blood DNAm differences associated with PTSD and characterize the underlying biological mechanisms by examining the extent to which they mirror associations across multiple brain regions. Methods: As the Psychiatric Genomics Consortium (PGC) PTSD Epigenetics Workgroup, we conducted the largest cross-sectional meta-analysis of epigenome-wide association studies (EWASs) of PTSD to date, involving 5077 participants (2156 PTSD cases and 2921 trauma-exposed controls) from 23 civilian and military studies. PTSD diagnosis assessments were harmonized following the standardized guidelines established by the PGC-PTSD Workgroup. DNAm was assayed from blood using either Illumina HumanMethylation450 or MethylationEPIC (850K) BeadChips. A common QC pipeline was applied. Within each cohort, DNA methylation was regressed on PTSD, sex (if applicable), age, blood cell proportions, and ancestry. An inverse variance-weighted meta-analysis was performed. We conducted replication analyses in tissue from multiple brain regions, neuronal nuclei, and a cellular model of prolonged stress. Results: We identified 11 CpG sites associated with PTSD in the overall meta-analysis (1.44e-09 < p < 5.30e-08), as well as 14 associated in analyses of specific strata (military vs civilian cohort, sex, and ancestry), including CpGs in AHRR and CDC42BPB. Many of these loci exhibit blood-brain correlation in methylation levels and cross-tissue associations with PTSD in multiple brain regions. Methylation at most CpGs correlated with their annotated gene expression levels. Conclusions: This study identifies 11 PTSD-associated CpGs, also leverages data from postmortem brain samples, GWAS, and genome-wide expression data to interpret the biology underlying these associations and prioritize genes whose regulation differs in those with PTSD.

Probing the neurocardiac circuit in trauma and posttraumatic stress.

The neurocardiac circuit is integral to physiological regulation of threat and trauma-related responses. However, few direct investigations of brain-behavior associations with replicable physiological markers of PTSD have been conducted. The current study probed the neurocardiac circuit by examining associations among its core regions in the brain (e.g., insula, hypothalamus) and the periphery (heart rate [HR], high frequency heart rate variability [HF-HRV], and blood pressure [BP]). We sought to characterize these associations and to determine whether there were differences by PTSD status. Participants were N = 315 (64.1 % female) trauma-exposed adults enrolled from emergency departments as part of the prospective AURORA study. Participants completed a deep phenotyping session (e.g., fear conditioning, magnetic resonance imaging) two weeks after emergency department admission. Voxelwise analyses revealed several significant interactions between PTSD severity 8-weeks posttrauma and psychophysiological recordings on hypothalamic connectivity to the prefrontal cortex (PFC), insula, superior temporal sulcus, and temporoparietaloccipital junction. Among those with PTSD, diastolic BP was directly correlated with right insula-hypothalamic connectivity, whereas the reverse was found for those without PTSD. PTSD status moderated the association between systolic BP, HR, and HF-HRV and hypothalamic connectivity in the same direction. While preliminary, our findings may suggest that individuals with higher PTSD severity exhibit compensatory neural mechanisms to down-regulate autonomic imbalance. Additional study is warranted to determine how underlying mechanisms (e.g., inflammation) may disrupt the neurocardiac circuit and increase cardiometabolic disease risk in PTSD.

The cumulative impact of trauma, chronic illness, and COVID-19 stress on mental health in a case-control study of adults with psychotic disorders in Ethiopia.

BACKGROUND: The COVID-19 pandemic has profoundly impacted the economic, psychological, and social well-being of people in Ethiopia. Pandemic-related fears can exacerbate anxiety and depression symptoms among those with pre-existing physical and mental health conditions as well as those with prior exposure to traumatic events. METHODS: We used data from the Ethiopia NeuroGAP-Psychosis study (898 cases and 941 controls with and without a diagnosis of psychosis respectively, 66% male, mean age = 37 years). Data was collected between November 2021 and June 2022 during the COVID-19 pandemic from four hospitals in Ethiopia (three in Addis Ababa and one in Jimma city). Structural equation modeling analysis was conducted to examine the associations between trauma exposure, physical health conditions (like arthristis, neurological disorders, diabetes), COVID-19 stress, and psychological distress (depression and anxiety symptoms). We assessed direct and indirect effects for mediation, and conducted multigroup analysis to examine moderation by case control status. RESULTS: We found evidence that the impact of greater trauma exposure and physical health conditions on higher psychological distress was mediated through higher COVID-19 stress. Sociodemographic characteristics (older age and being maried) were associated with higher psychological distress, with these associations mediated through greater trauma, physical health conditions, and COVID-19 stress. Case-control status also moderated the associations between these variables, with the mediation effects being stronger in cases and weaker in controls. Further, cases reported greater trauma and psychological distress, while controls reported more physical health conditions and COVID-19 stress. IMPLICATIONS: Our findings uniquely assess the interaction of health and emergency related factors in understudied settings like Ethiopia. They underscore the importance of including daily hardships and environmental stressors, along with prior trauma exposure, as risk factors for the assessment of mental health symptoms. This study has key implications for mental health screening and intervention research in response to complex emergency contexts like Ethiopia with a history of armed conflict in addition to the COVID-19 pandemic. Our findings can aid the development of targeted services that address the mental health of at-risk groups with pre-existing mental and physical health conditions.

Relationships between trauma types and psychotic symptoms: A network analysis of patients with psychotic disorders in a large, multi-country study in East Africa.

BACKGROUND: The link between trauma exposure and psychotic disorders is well-established. Further, specific types of trauma may be associated with specific psychotic symptoms. Network analysis is an approach that can advance our understanding of the associations across trauma types and psychotic symptoms. METHODS: We conducted a network analysis with data from 16,628 adult participants (mean age [standard deviation] = 36.3 years [11.5]; 55.8% males) with psychotic disorders in East Africa recruited between 2018 and 2023. We used the Life Events Checklist and the Mini International Neuropsychiatric Interview to determine whether specific trauma types experienced over the life course and specific psychotic symptoms were connected. We used an Ising model to estimate the network connections and bridge centrality statistics to identify nodes that may influence trauma types and psychotic symptoms. RESULTS: The trauma type "exposure to a war zone" had the highest bridge strength, betweenness, and closeness. The psychotic symptom "odd or unusual beliefs" had the second highest bridge strength. Exposure to a war zone was directly connected to visual hallucinations, odd or unusual beliefs, passivity phenomena, and disorganized speech. Odd or unusual beliefs were directly connected to transportation accidents, physical assault, war, and witnessing sudden accidental death. CONCLUSION: Specific trauma types and psychotic symptoms may interact bidirectionally. Screening for psychotic symptoms in patients with war-related trauma and evaluating lifetime trauma in patients with odd or unusual beliefs in clinical care may be considered points of intervention to limit stimulating additional psychotic symptoms and trauma exposure. This work reaffirms the importance of trauma-informed care for patients with psychotic disorders.

Three things we learned along the way: lessons for training in psychiatric epidemiology.

The coronavirus disease 2019 (COVID-19) pandemic, and its associated mortality, morbidity, and deep social and economic impacts, was a global traumatic stressor that challenged population mental health and our de facto mental health care system in unprecedented ways. Yet, in many respects, this crisis is not new. Psychiatric epidemiologists have recognized for decades the need and unmet need of people in distress and the limits of the public mental health services in the United States. We argue that psychiatric epidemiologists have a critical role to play as we endeavor to address population mental health and draw attention to 3 areas of consideration: elevating population-based solutions; engaging equitably with lived experience; and interrogating recovery. Psychiatric epidemiology has a long history of both responding to and shaping our understanding of the relationships among psychiatric disorders and society through evolving methods and training, and the current sociohistorical moment again suggests that shifts in our practice can strengthen our field and its impact. This article is part of a Special Collection on Mental Health.

Prior resilience to trauma & coping during the COVID-19 pandemic.

BACKGROUND AND OBJECTIVE: This study examined the potential influence of pre-pandemic psychological resilience on use of approach or avoidant coping styles and strategies to manage stress during the COVID-19 pandemic. We hypothesized that higher resilience would be associated with more approach coping and less avoidant coping. DESIGN AND METHODS: Longitudinal cohort data were from the Nurses' Health Study II, including 13,143 female current and former healthcare professionals with pre-pandemic lifetime trauma. Pre-pandemic resilience was assessed between 2018-2019 and current coping during the outbreak of the pandemic in the United States (May-August 2020). Multiple linear regression model results identified associations between continuous pre-pandemic resilience scores and use of approach and avoidant coping styles, as well as individual coping strategies, adjusting for relevant covariates. RESULTS: Greater resilience was associated with higher use of approach coping (ß = 0.06, 95% CI 0.05, 0.08) and lower use of avoidant coping styles (ß = -0.39, 95% CI -0.41, -0.38). Higher pre-pandemic resilience was also associated with use of eight (distraction [ß = -0.18, 95% CI -0.20, -0.16], substance use [ß = -0.15, 95% CI -0.17, -0.13], behavioral disengagement [ß = -0.29, 95% CI -0.30, -0.27], self-blame [ß = -0.44, 95% CI -0.45, -0.42], emotional support (ß = 0.03, 95% CI 0.01, 0.05), positive reframing [ß = 0.13, 95% CI 0.12, 0.15], humor [ß = 0.03, 95% CI 0.01, 0.05] and religion [ß = 0.06, 95% CI 0.04, 0.08]) of the nine coping strategies in expected directions. CONCLUSION: Findings have important implications for intervention or even prevention efforts to support vulnerable groups, such as women with prior trauma histories, during this and other immensely stressful times. Supporting or building psychological resilience following trauma may promote effective coping in times of future stress.

Intensive longitudinal assessment following index trauma to predict development of PTSD using machine learning.

There are significant challenges to identifying which individuals require intervention following exposure to trauma, and a need for strategies to identify and provide individuals at risk for developing PTSD with timely interventions. The present study seeks to identify a minimal set of trauma-related symptoms, assessed during the weeks following traumatic exposure, that can accurately predict PTSD. Participants were 2185 adults (Mean age=36.4 years; 64% women; 50% Black) presenting for emergency care following traumatic exposure. Participants received a 'flash survey' with 6-8 varying symptoms (from a pool of 26 trauma symptoms) several times per week for eight weeks following the trauma exposure (each symptom assessed ∼6 times). Features (mean, sd, last, worst, peak-end scores) from the repeatedly assessed symptoms were included as candidate variables in a CART machine learning analysis to develop a pragmatic predictive algorithm. PTSD (PCL-5 ≥38) was present for 669 (31%) participants at the 8-week follow-up. A classification tree with three splits, based on mean scores of nervousness, rehashing, and fatigue, predicted PTSD with an Area Under the Curve of 0.836. Findings suggest feasibility for a 3-item assessment protocol, delivered once per week, following traumatic exposure to assess and potentially facilitate follow-up care for those at risk.

Sex-dependent differences in vulnerability to early risk factors for posttraumatic stress disorder: results from the AURORA study.

BACKGROUND: Knowledge of sex differences in risk factors for posttraumatic stress disorder (PTSD) can contribute to the development of refined preventive interventions. Therefore, the aim of this study was to examine if women and men differ in their vulnerability to risk factors for PTSD. METHODS: As part of the longitudinal AURORA study, 2924 patients seeking emergency department (ED) treatment in the acute aftermath of trauma provided self-report assessments of pre- peri- and post-traumatic risk factors, as well as 3-month PTSD severity. We systematically examined sex-dependent effects of 16 risk factors that have previously been hypothesized to show different associations with PTSD severity in women and men. RESULTS: Women reported higher PTSD severity at 3-months post-trauma. Z-score comparisons indicated that for five of the 16 examined risk factors the association with 3-month PTSD severity was stronger in men than in women. In multivariable models, interaction effects with sex were observed for pre-traumatic anxiety symptoms, and acute dissociative symptoms; both showed stronger associations with PTSD in men than in women. Subgroup analyses suggested trauma type-conditional effects. CONCLUSIONS: Our findings indicate mechanisms to which men might be particularly vulnerable, demonstrating that known PTSD risk factors might behave differently in women and men. Analyses did not identify any risk factors to which women were more vulnerable than men, pointing toward further mechanisms to explain women's higher PTSD risk. Our study illustrates the need for a more systematic examination of sex differences in contributors to PTSD severity after trauma, which may inform refined preventive interventions.

The Association Between Pre-Pregnancy and First-Trimester Hair Cortisol and Preterm Birth: A Causal Inference Model.

Background Adverse life events and chronic psychological distress before and during pregnancy have frequently been associated with preterm birth (PTB) but the biological underpinnings remain unclear. We investigated the association between corticosteroid levels in pre-pregnancy and first-trimester hair and the risk of PTB. Methods We followed 1,808 pregnant women from a prospective pre-birth cohort study in Lima, Perú. Hair samples were taken at the end of the first pregnancy trimester. The two most proximal 3cm segments to the scalp (representing pre-pregnancy and first-trimester) were analyzed to obtain hair cortisol and cortisone concentrations (HCC and HCNC). PTB was defined as birth < 37 completed gestational weeks. We constructed four generalized propensity scores for pre-pregnancy and first-trimester HCC and HCNC to create corresponding inverse probability weights before fitting marginal structural models for estimating the effect of HCC and HCNC on PTB risk. Results Pre-pregnancy Log HCC was not independently associated with PTB risk (RR = 0.97; 95%CI: 0.79, 1.19). In contrast, one SD increase from the mean first-trimester Log HCC was independently associated with a 37% (95%CI: 1.11, 1.69) increased risk of PTB. Although imprecise, pre-pregnancy Log HCNC was negatively associated with PTB risk (RR = 0.84; 95%CI: 0.58, 1.20), whereas the association between first-trimester Log HCNC and PTB risk was positive (RR = 1.20; 95%CI: 0.87, 1.65). Conclusions Our findings show that chronic corticosteroid levels in early pregnancy are causally linked to PTB risk in pregnant Peruvian women. This finding contributes to understanding the biological underpinnings of PTB better to enhance PTB prevention.