Examining the Latent Structure of Acute Stress Disorder Symptoms in Filipino-Victims of a Flashflood Disaster

Impact of extreme weather events on mental health in South and Southeast Asia: A two decades of systematic review of observational studies

Extreme weather events in South and Southeast Asia exert profound psychosocial impacts, amplifying the prevalence of mental illness. Despite their substantial consequences, there is a dearth of research and representation in the current literature. We conducted a systematic review of observational studies published between January 1, 2000, and January 20, 2024, to examine the impact of extreme weather events on the mental health of the South and Southeast Asian population. Quality assessment of the included studies was conducted using the Newcastle-Ottawa Scale (NOS) quality appraisal checklist. The search retrieved 70 studies that met the inclusion criteria and were included in our review. Most were from India (n = 22), and most used a cross-sectional study design (n = 55). Poor mental health outcomes were associated with six types of extreme weather events: floods, storm surges, typhoons, cyclones, extreme heat, and riverbank erosion. Most studies (n = 41) reported short-term outcome measurements. Findings included outcomes with predictable symptomatology, including post-traumatic stress disorder, depression, anxiety, general psychological distress, emotional distress and suicide. Limited studies on long-term effects showed higher mental disorders after floods and typhoons, while cyclone-exposed individuals had more short-term distress. Notably, the review identified over 50 risk factors influencing mental health outcomes, categorized into six classes: demographic, economic, health, disaster exposure, psychological, and community factors. However, the quantitative evidence linking extreme weather events to mental health was limited due to a lack of longitudinal data, lack of control groups, and the absence of objective exposure measurements. The review found some compelling evidence linking extreme weather events to adverse mental health in the South and Southeast Asia region. Future research should focus on longitudinal study design to identify the specific stressors and climatic factors influencing the relationship between climate extremes and mental health in this region.

DSM-5-Based ASD Models: Assessing the Latent Structural Relations with Functionality in War-Exposed Individuals

There is a dearth of studies investigating the latent structure of Acute Stress Disorder (ASD) following the changes in the fifth edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5). To date, there is no consensus on the best representation of ASD. This study addressed this gap by examining four latent ASD models in a sample of war-exposed individuals (N = 424). Investigation on the relationship of the best-fitting model to functionality in the latent level was also conducted. The five-factor model, composed of intrusion, avoidance, numbing, dysphoric arousal, and anxious arousal factors, yielded the best-fitting model. Latent associations between the factors of the model and functionality suggest that symptoms of functionality do not significantly affect the factor structure of ASD. These findings have implications for understanding the underlying mechanism of ASD and can inform the development of more nuanced trauma-related interventions, particularly addressing ASD symptoms and functionality separately.

Efficacy of an Early Cognitive-Behavioral Intervention for Acute Stress Disorder in Mexican Earthquake Victims

Acute stress disorder (ASD) refers to the symptoms associated with posttraumatic stress disorder (PTSD) within the first four weeks following the traumatic event. Recent theoretical models suggest that early detection of ASD provides an opportunity to implement early interventions to prevent the development of PTSD or ameliorate its symptomatology. The aim of the present study was the evaluation of the efficacy of an ASD treatment for earthquake victims, which would serve as an early intervention for PTSD. A single-case (n = 1) quasi-experimental design was used, with pre and post-assessments, as well as one, three and six-month follow-ups, with direct treatment replications. Fourteen participants completed the treatment and the follow-up measurements. The results obtained using a single-case analysis showed significant clinical improvement and clinically significant change when employing a clinical significance analysis and the reliable index of change. Statistical analyses of the dataset displayed statistically significant differences between the pre and post-assessments and the follow-up measures, as well as large effect sizes in all clinical measures. These results suggest that the treatment was an efficacious early intervention for PTSD during the months following the traumatic event, although some relevant study limitations are discussed in the text.

Acute stress disorder, coping self-efficacy and subsequent psychological distress among nurses amid COVID-19

Purpose

Health care professionals, particularly nurses, are considered a vulnerable group to experience acute stress disorder (ASD) and subsequent psychological distress amid COVID‐19 pandemic. This study aims to establish the prevalence of acute stress disorder and predictors of psychological distress among Jordanian nurses.

Methods

A quantitative, cross‐sectional, descriptive and comparative design was used. Data were collected using a Web‐based survey. A total of 448 Jordanian nurses (73% females) completed and returned the study questionnaire.

Results

The majority of nurses (64%) are experiencing ASD due to the COVID‐19 pandemic and thus are at risk for PTSD predisposition. More than one‐third of nurses (41%) are also suffering significant psychological distress. Among our sample, age, ASD and coping self‐efficacy significantly predicted psychological distress. More specifically, younger nurses are more prone to experience psychological distress than older ones. While higher scores on ASD showed more resultant psychological distress, coping self‐efficacy was a protective factor.

Conclusion

Given that individuals who suffer from ASD are predisposed to PTSD, follow‐up with nurses to screen for PTSD and referral to appropriate psychological services is pivotal. Coping self‐efficacy is found to ameliorate the effect of psychological distress on nurses' traumatic experience. Such findings warrant intensive efforts from health care institutions to provide psychosocial support services for nurses and ongoing efforts to screen them for traumatic and psychological distress symptoms.

Implications for Nursing Management

Nursing leaders and managers are in the forefront of responding to the unique needs of their workforces during the COVID‐19 crisis. They need to implement stress‐reduction strategies for nurses through providing consecutive rest days, rotating allocations of complex patients, arranging support services and being accessible to staff. They also need to ensure nurses' personal safety through securing and providing personal safety measures and undertake briefings to ensure their staff's physical and mental well‐being, as well as providing referrals to appropriate psychological services.

The Current Evidence for Acute Stress Disorder

PURPOSE OF REVIEW

The aim of this review is to provide a summary of the current evidence pertaining to the course of acute and chronic posttraumatic stress, the diagnosis of acute stress disorder (ASD), and treatment of acute stress disorder and prevention of posttraumatic stress disorder (PTSD).

RECENT FINDINGS

Although acute stress disorder was introduced partly to predict subsequent PTSD, longitudinal studies indicate that ASD is not an accurate predictor of PTSD. Recent analytic approaches adopting latent growth mixture modeling have shown that trauma-exposed people tend to follow one of four trajectories: (a) resilient, (b) worsening, (c) recovery, and (d) chronically distressed. The complexity of the course of posttraumatic stress limits the capacity of the ASD diagnosis to predict subsequent PTSD. Current evidence indicates that the treatment of choice for ASD is trauma-focused cognitive behavior therapy, and this intervention results in reduced chronic PTSD severity. Recent attempts to limit subsequent PTSD by early provision of pharmacological interventions have been promising, especially administration of corticosterone to modulate glucocorticoid levels. Although the ASD diagnosis does not accurately predict chronic PTSD, it describes recently trauma-exposed people with severe distress. Provision of CBT in the acute phase is the best available strategy to limit subsequent PTSD.

Acute stress disorder

Acute stress disorder (ASD) was introduced in DSM-IV to describe posttraumatic stress disorder (PTSD) symptoms that (a) occur in the initial month after trauma and (b) predict subsequent PTSD. Longitudinal studies have shown that most people who develop PTSD do not initially meet ASD criteria, which led to the decision in DSM-5 to limit the ASD diagnosis to describing acute stress reactions without any predictive function. Controlled trials have shown that trauma-focused cognitive behavior therapy is the treatment of choice for ASD, and is superior to pharmacological interventions. Recent longitudinal studies have challenged previous conceptualizations of the course of posttraumatic stress, and highlighted that people follow different trajectories of adaptation that are influenced by events that occur after the acute posttraumatic period.

The latent structure of Acute Stress Disorder symptoms in trauma-exposed children and adolescents

BACKGROUND

The revision of Acute Stress Disorder (ASD) in the DSM-5 (DSM-5, 2013) proposes a cluster-free model of ASD symptoms in both adults and youth. Published evaluations of competing models of ASD clustering in youth have rarely been examined.

METHODS

We used Confirmatory Factor Analysis (combined with multigroup invariance tests) to explore the latent structure of ASD symptoms in a trauma-exposed sample of children and young people (N = 594). The DSM-5 structure was compared with the previous DSM-IV conceptualization (4-factor), and two alternative models proposed in the literature (3-factor; 5-factor). Model fit was examined using goodness-of-fit indices. We also established DSM-5 ASD prevalence rates relative to DSM-IV ASD, and the ability of these models to classify children impaired by their symptoms.

RESULTS

Based on both the Bayesian Information Criterion, the interfactor correlations and invariance testing, the 3-factor model best accounted for the profile of ASD symptoms. DSM-5 ASD led to slightly higher prevalence rates than DSM-IV ASD and performed similarly to DSM-IV with respect to categorising children impaired by their symptoms. Modifying the DSM-5 ASD algorithm to a 3+ or 4+ symptom requirement was the strongest predictor of impairment.

CONCLUSIONS

These findings suggest that a uni-factorial general-distress model is not the optimal model of capturing the latent structure of ASD symptom profiles in youth and that modifying the current DSM-5 9+ symptom algorithm could potentially lead to a more developmentally sensitive conceptualization.