Discipline is a crucial aspect of parenting, shaping child development and behaviour. Time-out, a widely used disciplinary strategy with a strong evidence-base, has recently come under scrutiny with concerns about potential adverse effects on children's emotional development and attachment, particularly for those with a history of adversity.

To contribute critical empirical insights to the current controversy surrounding time-out by exploring the associations among time-out implementation, parent–child attachment and child mental health, and whether adversity exposure moderated these associations.

This cross-sectional study utilised a nationally representative sample of 474 primary caregivers in Australia, with children aged 6–8 years, who completed an online survey. Measures included the Implementation of Time-out Scale, Adverse Life Experiences Scale, Primary Attachment Style Questionnaire, Strengths and Difficulties Questionnaire and Spence Child Anxiety Scale.

Appropriately implemented time-out was associated with enhanced mental health and attachment, while inappropriate time-out correlated with adverse child outcomes. Exposure to adversity moderated the relationship between time-out implementation and child well-being, such that children exposed to adversity were most likely to experience attachment enhancement from appropriately implemented time-out.

Despite recent concerns of harm caused by time-out, particularly for children with a history of adversity, findings support the beneficial impact of time-out on child well-being and attachment when implemented in accordance with evidence-based parameters. Combatting misinformation and disseminating evidence-based time-out guidelines is crucial for promoting child well-being and attachment, especially for children who have experienced adversity.

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.

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.

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.

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.

Several hypotheses may explain the association between substance use, posttraumatic stress disorder (PTSD), and depression. However, few studies have utilized a large multisite dataset to understand this complex relationship. Our study assessed the relationship between alcohol and cannabis use trajectories and PTSD and depression symptoms across 3 months in recently trauma-exposed civilians.

In total, 1618 (1037 female) participants provided self-report data on past 30-day alcohol and cannabis use and PTSD and depression symptoms during their emergency department (baseline) visit. We reassessed participant's substance use and clinical symptoms 2, 8, and 12 weeks posttrauma. Latent class mixture modeling determined alcohol and cannabis use trajectories in the sample. Changes in PTSD and depression symptoms were assessed across alcohol and cannabis use trajectories via a mixed-model repeated-measures analysis of variance.

Three trajectory classes (low, high, increasing use) provided the best model fit for alcohol and cannabis use. The low alcohol use class exhibited lower PTSD symptoms at baseline than the high use class; the low cannabis use class exhibited lower PTSD and depression symptoms at baseline than the high and increasing use classes; these symptoms greatly increased at week 8 and declined at week 12. Participants who already use alcohol and cannabis exhibited greater PTSD and depression symptoms at baseline that increased at week 8 with a decrease in symptoms at week 12.

Our findings suggest that alcohol and cannabis use trajectories are associated with the intensity of posttrauma psychopathology. These findings could potentially inform the timing of therapeutic strategies.

Psychological trauma exposure and posttraumatic stress disorder (PTSD) have been associated with advanced epigenetic age. However, whether epigenetic aging measured at the time of trauma predicts the subsequent development of PTSD outcomes is unknown. Moreover, the neural substrates underlying posttraumatic outcomes associated with epigenetic aging are unclear.

We examined a multi-ancestry cohort of women and men (n = 289) who presented to the emergency department (ED) after trauma. Blood DNA was collected at ED presentation, and EPIC DNA methylation arrays were used to assess four widely used metrics of epigenetic aging (HorvathAge, HannumAge, PhenoAge, and GrimAge). PTSD symptoms were evaluated longitudinally at the time of ED presentation and over the ensuing 6 months. Structural and functional neuroimaging was performed 2 weeks after trauma.

After covariate adjustment and correction for multiple comparisons, advanced ED GrimAge predicted increased risk for 6-month probable PTSD diagnosis. Secondary analyses suggested that the prediction of PTSD by GrimAge was driven by worse trajectories for intrusive memories and nightmares. Advanced ED GrimAge was also associated with reduced volume of the whole amygdala and specific amygdala subregions, including the cortico-amygdaloid transition and the cortical and accessory basal nuclei.

Our findings shed new light on the relation between biological aging and trauma-related phenotypes, suggesting that GrimAge measured at the time of trauma predicts PTSD trajectories and is associated with relevant brain alterations. Furthering these findings has the potential to enhance early prevention and treatment of posttraumatic psychiatric sequelae.

Posttraumatic stress symptoms (PTSS) are common following traumatic stress exposure (TSE). Identification of individuals with PTSS risk in the early aftermath of TSE is important to enable targeted administration of preventive interventions. In this study, we used baseline survey data from two prospective cohort studies to identify the most influential predictors of substantial PTSS.

Self-identifying black and white American women and men (n = 1546) presenting to one of 16 emergency departments (EDs) within 24 h of motor vehicle collision (MVC) TSE were enrolled. Individuals with substantial PTSS (⩾33, Impact of Events Scale – Revised) 6 months after MVC were identified via follow-up questionnaire. Sociodemographic, pain, general health, event, and psychological/cognitive characteristics were collected in the ED and used in prediction modeling. Ensemble learning methods and Monte Carlo cross-validation were used for feature selection and to determine prediction accuracy. External validation was performed on a hold-out sample (30% of total sample).

Twenty-five percent (n = 394) of individuals reported PTSS 6 months following MVC. Regularized linear regression was the top performing learning method. The top 30 factors together showed good reliability in predicting PTSS in the external sample (Area under the curve = 0.79 ± 0.002). Top predictors included acute pain severity, recovery expectations, socioeconomic status, self-reported race, and psychological symptoms.

These analyses add to a growing literature indicating that influential predictors of PTSS can be identified and risk for future PTSS estimated from characteristics easily available/assessable at the time of ED presentation following TSE.

This is the first report on the association between trauma exposure and depression from the Advancing Understanding of RecOvery afteR traumA(AURORA) multisite longitudinal study of adverse post-traumatic neuropsychiatric sequelae (APNS) among participants seeking emergency department (ED) treatment in the aftermath of a traumatic life experience.

We focus on participants presenting at EDs after a motor vehicle collision (MVC), which characterizes most AURORA participants, and examine associations of participant socio-demographics and MVC characteristics with 8-week depression as mediated through peritraumatic symptoms and 2-week depression.

Eight-week depression prevalence was relatively high (27.8%) and associated with several MVC characteristics (being passenger v. driver; injuries to other people). Peritraumatic distress was associated with 2-week but not 8-week depression. Most of these associations held when controlling for peritraumatic symptoms and, to a lesser degree, depressive symptoms at 2-weeks post-trauma.

These observations, coupled with substantial variation in the relative strength of the mediating pathways across predictors, raises the possibility of diverse and potentially complex underlying biological and psychological processes that remain to be elucidated in more in-depth analyses of the rich and evolving AURORA database to find new targets for intervention and new tools for risk-based stratification following trauma exposure.

This study sought to assess the effectiveness of ultrasound simulation as a component of high-fidelity trauma simulation, in training diagnostic capabilities of resident and attending physicians participating in simulated trauma scenarios.

Twelve residents and 20 attending physicians participated in 114 trauma simulations. Participants generated a ranked differential diagnosis list after a physical exam and subsequently after a simulated extended focused assessment with sonography for trauma (E-FAST) ultrasound scan. We compared reports to determine whether the addition of ultrasound improved diagnostic performance.

The primary diagnosis accuracy improved significantly with the addition of simulated ultrasound (p<0.0001). Median diagnostic ranking scores also improved (p<0.0001). Further, participants reported a higher confidence in their diagnoses (p<0.0001) and narrowed their differential diagnosis list (p<0.0001).

We demonstrated that a low-cost ultrasound simulator can be successfully integrated into trauma simulations, resulting in an associated improvement in measures of diagnostic accuracy, confidence, and precision for participating resident and attending physicians.

On March 11, 2011, Japan experienced the largest earthquake in its history. The undersea earthquake launched a tsunami that inundated much of Japan's eastern coastline and damaged nuclear power plants, precipitating multiple reactor meltdowns. We examined open-source disaster situation reports, news accounts, and disaster-monitoring websites to gather event-specific data to conduct a trauma signature analysis of the event.

The trauma signature analysis included a review of disaster situation reports; the construction of a hazard profile for the earthquake, tsunami, and radiation threats; enumeration of disaster stressors by disaster phase; identification of salient evidence-based psychological risk factors; summation of the trauma signature based on exposure to hazards, loss, and change; and review of the mental health and psychosocial support responses in relation to the analysis.

Exposure to this triple-hazard event resulted in extensive damage, significant loss of life, and massive population displacement. Many citizens were exposed to multiple hazards. The extremity of these exposures was partially mitigated by Japan's timely, expert-coordinated, and unified activation of an evidence-based mental health response.

The eastern Japan disaster was notable for its unique constellation of compounding exposures. Examination of the trauma signature of this event provided insights and guidance regarding optimal mental health and psychosocial responses. Japan orchestrated a model response that reinforced community resilience. (Disaster Med Public Health Preparedness. 2013;0:1-14)