Trajectories of traumatic stress symptoms during conflict: A latent class growth analysis

Trajectories and determinants of acute stress disorder during the COVID-19 centralized quarantine: A latent class growth analysis

COVID-19 centralized quarantine may cause acute stress disorder (ASD). However, it is unknown how individuals present heterogeneous ASD trajectories during the COVID-19 centralized quarantine and what factors contribute to these patterns. This study aimed to identify the ASD trajectories and their determinants during the centralized quarantine period, and the mediating effects of resilience on these associations. A longitudinal survey with three waves was conducted in a randomly selected quarantine hotel in Shenzhen, China from October to November 2020. A total of 273 participants completed online measures assessing ASD symptoms, Eysenck's personality constructs of extraversion (E), neuroticism (N), psychoticism (P), and resilience on Day 1, and reported ASD symptoms on Days 7 and 14 during their 14-day centralized quarantine periods. Latent class growth analysis identified three trajectories: constantly high symptoms (CHS, 4.76%), decreasing symptoms (DS, 11.72%), and constantly low symptoms (CLS, 83.52%). The CHS and DS subgroups both reported lower E and higher N scores, but not P, compared with the CLS subgroup. Resilience mediated the effects of three personality constructs on ASD trajectories, except for the association between N and DS membership. Our study highlights the heterogeneity in stress responses to the COVID-19 centralized quarantine. The high-risk subgroup with persistent ASD symptoms was characterized by lower E and higher N. The resilience process accounted for the effects of personality in shaping distinct ASD trajectories. Our findings have implications to detect the populations vulnerable to ASD and provide insights for developing timely resilience enhancement intervention programs.

Do positive memory characteristics influence daily-level trajectories of posttraumatic stress disorder symptoms? an exploratory daily diary study

BACKGROUND AND OBJECTIVES

Evidence links posttraumatic stress disorder (PTSD) with positive memory characteristics. To extend this research, we utilized daily diary data to examine (1) concurrent/lagged associations between daily PTSD symptom severity and positive memory vividness/accessibility; and (2) associations between baseline-assessed positive memory characteristics and changes in PTSD symptom severity over time.

DESIGN AND METHODS

A sample of 238 trauma-exposed participants (Mage = 21.19 years; 86% women) completed baseline and 10 daily measures of PTSD symptoms and positive memory characteristics. Multilevel models covaried for gender, number of trauma types, and number of completed surveys.

RESULTS

Days with greater PTSD symptom severity than an individual's average associated with less vividness (b = -0.02, p < .001) and accessibility (b = -0.02, p < .001) of the positive memory on the same day. Days with greater positive memory vividness (b = -1.06, p < .001) and accessibility (b = -0.93, p < .001) than an individual's average associated with less PTSD symptom severity on the same day. There were no significant lagged associations between these constructs. There were significant interactions between baseline-assessed psychological distance and time (b = -0.04, p  = .042) and between baseline-assessed visual perspective and time (b = 0.05, p = .023) on PTSD symptom severity across days.

CONCLUSIONS

Findings inform positive memory intervention targets for PTSD and provide impetus for longitudinal investigations on their inter-relations.

Trajectories of Posttraumatic Stress Symptoms Among Young Adults Exposed to a Typhoon: A Three-Wave Longitudinal Study

Objective: We used a latent class growth model to identify distinct PTSS trajectories and correlates of these trajectories among young adults who experienced Typhoon Hato, the strongest storm to strike China in the last 50 years. Methods: A longitudinal survey (three-waves) was conducted to explore the mental health status and its correlates among young adults exposed to the typhoon. Data from 362 participants were analyzed via a latent class growth model and multinomial logistic regression. Results: Three distinct classes of PTSS trajectories were identified, including: "resilience" (86.46%), "recovery" (9.12%), and "deterioration" (4.42%). The higher levels of direct typhoon exposure, media use, and posttraumatic growth significantly predicted the higher likelihood of participants being in the "recovery'' class. In addition, more social support significantly predicted the higher possibility of being in the "resilience" class. Finally, more severe depressive and anxiety symptoms significantly predicted the higher likelihood of being in the "deterioration" class. Conclusion: Further research should develop interventions to enhance protective factors (e.g., posttraumatic growth, media use), decrease risk factors (e.g., depressive and anxiety symptoms), and thereby prevent PTSS.

The memory-experience gap for PTSD symptoms: The correspondence between experience sampling and past month retrospective reports of traumatic stress symptoms

Posttraumatic stress disorder assessments typically require individuals to provide an aggregate report on the frequency or severity of symptoms they have experienced over a particular time period. Yet retrospective aggregate assessments are susceptible to memory recall and retrieval difficulties. This study examined the correspondence between a month of real-time experience sampling methodology (ESM) reports of traumatic stress symptoms and a retrospective assessment of past-month traumatic stress symptoms for that same period. Participants were a convenience community sample (n=96) from Southern and Central Israel exposed to rocket fire during the Israel-Gaza July-Aug 2014 conflict. Participants provided ESM reports on traumatic stress symptoms twice a day for 30 days via smartphone. Average ESM scores, rather than peak or most recent reports, were most highly correlated with retrospective assessments. For individual symptoms, concentration difficulties had the highest correspondence between ESM and retrospective reports, while amnesia had the lowest correspondence. Regression analysis found that average ESM scores and younger age significantly predicted past-month retrospective assessments of PTSD symptoms. Additionally, previously experiencing more types of trauma predicted PTSD symptoms, but did not moderate the relationship between ESM and retrospective assessments. These findings have implications for assessment.

Do positive and negative emotional reactions during war predict subsequent symptomatology? A prospective experience sampling study

While peritraumatic negative emotions have been associated with subsequent posttraumatic stress and depression, the predictive role of real-time emotional reactions to specific stressors during prolonged stress exposure is still unclear, particularly that of positive emotions. The current study uses experience sampling methodology to examine individual general levels of negative and positive emotions, and emotional reactivity to specific stressors during war, as prospective predictors of posttraumatic stress and depression. Ninety-six civilians exposed to rocket fire during the 2014 Israel-Gaza war reported exposure to rocket warning sirens and levels of ten negative and six positive emotions twice a day for 30 days. Symptoms of posttraumatic stress and depression were then assessed two months post-war. Participants reported higher negative emotions and lower positive emotions during assessment windows with sirens. Over time, negative emotions decreased and positive emotions increased. Higher levels of overall negative emotions predicted posttraumatic stress symptoms and depression symptoms two months later. Levels of positive emotions, and negative and positive emotional reactivity to sirens, were not associated with subsequent symptomatology. Our results indicate the stronger role of overall negative emotions as predictors of symptomatology compared with momentary emotional reactivity, and the stronger predictive role of negative compared with positive emotions.

Emotional reactivity to war stressors: An experience sampling study in people with and without different psychiatric diagnoses

There is a lack of knowledge regarding real-time emotional reactivity to high-intensity stressors, particularly in people with mental illness, a potentially vulnerable population. The current study aimed to examine negative emotional reactions to recurring high-intensity stressors within a continuous war situation, in people with different psychiatric diagnosis types. Experience sampling method was used to examine emotional reactions among 143 civilians exposed to rockets during the 2014 Israel-Gaza war, of them 18.2% with psychosis, 14.7% with anxiety or depression and 67.1% without mental illness. Participants reported exposure to rocket warning sirens and the levels of 10 negative emotions twice a day for 30 days. Negative emotional levels were higher on most emotions following high-intensity stressors (sirens), that is, emotional reactivity was demonstrated in real-time during war. Overall, no difference in reactivity was found among the three study groups. Moreover, people with anxiety/depression were less reactive than people without mental illness on sadness and being overwhelmed. The findings indicate similar and sometimes lower emotional reactivity to high-intensity stressors in people with mental illness compared to the general population. Nevertheless, people with mental illness seem to have significant emotional needs during war, to be addressed in prevention and intervention efforts.

Different trajectories of PTSD symptoms during the acute post-trauma period

The majority of adults in the United States will experience a potentially traumatic event during their lifetime, yet only a subset will develop posttraumatic stress disorder (PTSD). The trajectory of symptoms in the period of time immediately following the trauma (the acute post-trauma period) may be important in determining which individuals develop PTSD. The current study examined trajectories of PTSD symptom severity across the acute post-trauma period and if membership in these trajectories was predictive of PTSD symptom severity, depression symptoms, and functional impairment 1- and 3-months post-trauma. Four trajectories were identified: low and decreasing, rapid decreasing, slow decreasing, and consistently high. Further, trajectory membership in the acute post-trauma period was found to predict differences in PTSD symptoms, depression symptoms, and functional impairment severity at both 1- and 3- months post-trauma. These findings highlight a relationship between PTSD symptoms during the acute post-trauma period and later impairment.

Factor Structure, Reliability, and Validity of the Daily Self-Report Measure for Trauma-Related Sequelae (DSR-TRS)

The structure and psychometrics of daily self-report measures have only rarely been empirically tested. We developed the Daily Self-Report of Trauma-Related Sequelae (DSR-TRS), comprised of items assessing, in the past day: (1) posttraumatic stress disorder (PTSD) symptoms: (2) symptoms of affective-, behavioral-, relational-, somatic-, dissociative-, and self-dysregulation; and (3) stressors, mood, coping strategies, and drug and alcohol use. Psychometric analyses were conducted with data from 141 women who participated in a randomized clinical trial of two present-centered therapies for PTSD or a wait-list condition and completed at least one DSR-TRS during two 30-day periods at baseline and posttreatment/wait-list. Five DSR-TRS subscales were created based on a series of exploratory, confirmatory, and multilevel factor analyses: Positive Affect, Negative Affect, Self-Regulation, Dysregulation, and PTSD symptoms. DSR-TRS subscales had acceptable within-person and between-person reliability. Convergent and discriminant validity were supported at baseline and posttest in relation to questionnaire and interview assessment measures. Implications for research on daily self-report measures such as the DSR-TRS with trauma survivors are discussed.

Does sense of threat in civilians during an armed conflict predict subsequent depression symptoms?

OBJECTIVE

We aimed to assess whether peritraumatic threat experienced during a period of armed conflict predicted subsequent depression symptoms.

METHOD

Ninety-six Israeli civilians provided real-time reports of exposure to rocket warning sirens and subjective sense of threat, twice daily for 30 days, during the 2014 Israel-Gaza conflict. Depression symptoms were reported 2 months after the conflict. Mixed-effects models were used to estimate peritraumatic threat levels and peritraumatic threat reactivity (within-person elevations in threat following siren exposure). These were then assessed as predictors of depression symptoms at 2 months in an adjusted regression model.

RESULTS

Individual peritraumatic threat level, but not peritraumatic threat reactivity, was a significant predictor of 2 months depression symptoms, even after controlling for baseline depression symptoms.

CONCLUSIONS

The findings imply that in situations of ongoing exposure, screening for perceived levels of peritraumatic threat might be useful in identifying those at risk for developing subsequent depression symptoms.

Dynamic Network Analysis of Negative Emotions and DSM-5 Posttraumatic Stress Disorder Symptom Clusters During Conflict

Investigating dynamic associations between specific negative emotions and PTSD symptom clusters may provide novel insights into the ways in which PTSD symptoms interact with, emerge from, or are reinforced by negative emotions. The present study estimated the associations among negative emotions and the four DSM-5 PTSD symptom clusters (intrusions, avoidance, negative alterations in cognitions and mood [NACM], and arousal) in a sample of Israeli civilians (n = 96) during the Israel-Gaza War of July-August 2014. Data were collected using experience sampling methodology, with participants queried via smartphone about PTSD symptoms and negative emotions twice a day for 30 days. We used a multilevel vector auto-regression model to estimate temporal and contemporaneous temporal networks. Contrary to our hypothesis, in the temporal network, PTSD symptom clusters were more predictive of negative emotions than vice versa, with arousal emerging as the strongest predictor that negative emotions would be reported at the next measurement point; fear and sadness were also strong predictors of PTSD symptom clusters. In the contemporaneous network, negative emotions exhibited the strongest associations with the NACM and arousal PTSD symptom clusters. The negative emotions of sadness, stress, fear, and loneliness had the strongest associations to the PTSD symptom clusters. Our findings suggest that arousal has strong associations to both PTSD symptoms and negative emotions during ongoing trauma and highlights the potentially relevant role of arousal for future investigations in primary or early interventions.

Posttraumatic stress symptom courses in U.S. military veterans: A seven-year, nationally representative, prospective cohort study

The current study examined the nature and correlates of seven-year posttraumatic stress disorder (PTSD) symptom courses in a nationally representative, prospective cohort of U.S. military veterans. Data were analyzed from 2,307 trauma-exposed veterans who completed at least one follow-up assessment over a 7-year period, a subsample of n = 3,157 veterans who participated in the first wave of the National Health and Resilience in Veterans Study. Latent growth mixture modeling (LGMM) was used to identify PTSD symptom courses over four survey waves conducted in 2011, 2013, 2015, and 2018. Sociodemographic, health, and psychosocial variables were examined as potential correlates of symptomatic trajectories. PTSD symptoms were best characterized by three courses: No/Low (89.2%), Moderate Symptom (7.6%), and High Symptom (3.2%). Relative to the No/Low Symptom course, symptomatic courses were positively associated with a greater number of lifetime traumatic events, higher scores on measures of physical health difficulties and lifetime psychiatric history (relative risk ratio [RRR] range = 1.19-2.74), and were negatively associated with time since index trauma, household income, and social connectedness (RRR range = 0.14-0.97). Veterans in the Moderate Symptom course additionally had lower scores on a measure of protective psychosocial characteristics (RRR = 0.78) and were more likely to have received mental health treatment (RRR = 1.62), while those in the High PTSD Symptom course were more likely to be exposed to combat and to more traumas since Wave 1 (RRR range = 1.23-4.63). Three PTSD symptom courses in U.S. veterans were identified, with more than 10% of veterans exhibiting a moderate or high symptom course. Prevention and treatment efforts targeting modifiable correlates, such as social connectedness, may help mitigate symptomatic PTSD symptom courses in this population.

Do posttraumatic stress symptoms mediate the relationship between peritraumatic threat and posttraumatic growth? A prospective experience sampling study

Objectives: The current study examined whether peritraumatic threat predicted posttraumatic growth (PTG), and whether the relationship between peritraumatic threat and PTG was mediated by post-traumatic stress (PTS) symptoms.Design: A prospective experience sampling study. Methods: 96 Israeli civilians provided smartphone reports of their rocket warning siren exposure and peritraumatic threat, twice daily for 30 days, during the 2014 Israel-Gaza conflict. PTS symptoms data were collected one month after entry to the study, PTG data were collected five months after entry to the study. PTG predictors were assessed using a hierarchical multivariate regression model. A mediation analysis was conducted to assess the indirect effect of peritraumatic threat on PTG via PTS symptoms.Results: One month PTS symptoms and level of exposure to the conflict were both significant PTG predictors. After controlling for potential covariates, the relationship between peritraumatic threat and PTG scores was fully mediated by PTS symptoms.Conclusions: PTS symptoms mediated the relationship between peritraumatic threat and subsequent PTG. Screening trauma survivors for levels of threat and PTS symptoms may be helpful in tailoring therapeutic approaches that will aid in alleviating stress symptoms on one hand and increase the likelihood of growth and better health outcomes on the other.

The Dynamic Relations Among Peritraumatic Posttraumatic Stress Symptoms: An Experience Sampling Study During Wartime

The associations among peritraumatic posttraumatic stress symptoms (P-PTSS) in the immediate aftermath of trauma exposure, including those in the posttraumatic stress disorder clusters of intrusions, avoidance, negative cognitions and mood (NCM), and arousal, might indicate mechanisms through which enduring PTSD develops. During a period of war, exposed participants (N = 181) were sent twice-daily questionnaires for 30 days via smartphone. We repeatedly assessed the predictive associations between the P-PTSS clusters over time. We performed a multilevel pathway analysis built of multiple triple sequence responses (6,221 cases) on each of the four P-PTSS clusters at a mean time lag of 12 hr (Model A) and 24 hr (Model B) for 181 participants, 85 of whom had been diagnosed with a serious mental illness. Arousal predicted intrusion in Models A and B, b_A = 0.08, 95% CI [0.03, 0.12], p < .001 and b_B = 0.03, 95% CI [0.00, 0.07], p = .051, respectively; and NCM in Models A and B, b_A = 0.09, 95% CI [0.05, 0.12], p < .001 and b_B = 0.06, 95% CI [0.03, 0.09], p < .001, respectively. Intrusion predicted arousal in Model B, b_B = 0.05, 95% CI [0.01, 0.08], p = .010. NCM predicted arousal, b_A = 0.10, 95% CI [0.05, 0.14], p < .001, and avoidance b_A = 0.05, 95% CI [0.00, 0.11], p = .052, in Model A. Avoidance did not predict any other cluster. Arousal seemed to be acting as a hub, strengthening feedback loops to and from NCM and intrusion.

Dynamic networks of PTSD symptoms during conflict

BACKGROUND

Conceptualizing posttraumatic stress disorder (PTSD) symptoms as a dynamic system of causal elements could provide valuable insights into the way that PTSD develops and is maintained in traumatized individuals. We present the first study to apply a multilevel network model to produce an exploratory empirical conceptualization of dynamic networks of PTSD symptoms, using data collected during a period of conflict.

METHODS

Intensive longitudinal assessment data were collected during the Israel-Gaza War in July-August 2014. The final sample (n = 96) comprised a general population sample of Israeli adult civilians exposed to rocket fire. Participants completed twice-daily reports of PTSD symptoms via smartphone for 30 days. We used a multilevel vector auto-regression model to produce contemporaneous and temporal networks, and a partial correlation network model to obtain a between-subjects network.

RESULTS

Multilevel network analysis found strong positive contemporaneous associations between hypervigilance and startle response, avoidance of thoughts and avoidance of reminders, and between flashbacks and emotional reactivity. The temporal network indicated the central role of startle response as a predictor of future PTSD symptomatology, together with restricted affect, blame, negative emotions, and avoidance of thoughts. There were some notable differences between the temporal and contemporaneous networks, including the presence of a number of negative associations, particularly from blame. The between-person network indicated flashbacks and emotional reactivity to be the most central symptoms.

CONCLUSIONS

This study suggests various symptoms that could potentially be driving the development of PTSD. We discuss clinical implications such as identifying particular symptoms as targets for interventions.

Do acute dissociation reactions predict subsequent posttraumatic stress and growth? A prospective experience sampling method study

While peritraumatic dissociation has been identified as a predictor of posttraumatic stress disorder, it may also have some protective aspect. The study uses experience sampling methods to assess acute dissociation reactions during conflict, and to investigate these reactions as predictors of subsequent posttraumatic stress symptoms (PTSS) and posttraumatic growth (PTG). During the 2014 Israel-Gaza conflict, Israeli civilians (n = 96) exposed to rocket fire gave twice-daily experience sampling method (ESM) reports of dissociation symptoms for 30 days via mobile phone. PTSS and PTG were assessed two months later. A mixed effects random intercepts and slopes model estimated acute dissociation reactions. Individual slope coefficients for acute dissociative reactivity were entered as predictors of subsequent PTSS and PTG in regression analyses investigating linear and curvilinear associations. Exposure to sirens elicited acute dissociation reactions. Dissociative reactivity gradually reduced over the conflict. Higher acute dissociative reactivity during conflict predicted PTSS in a curvilinear manner (inverted U) and PTG in a positive linear manner two months later. The current study provides an important and novel contribution to the field by using ESM methods to assess peritraumatic dissociation, and in demonstrating that peritraumatic dissociation may be both adaptive and maladaptive, which has implications for risk assessment and clinical practice.

Exploring resilience models in a sample of combat-exposed military service members and veterans: a comparison and commentary

Background: The term resilience is applied in numerous ways in the mental health field, leading to different perspectives of what constitutes a resilient response and disparate findings regarding its prevalence following trauma. Objective: illustrate the impact of various definitions on our understanding and prevalence of resilience, we compared various resilience definitions (absence of PTSD, absence of current mental health diagnosis, absence of generalized psychological distress, and an alternative trauma load-resilience discrepancy model of the difference between actual and predicted distress given lifetime trauma exposure) within a combat-exposed military personnel and veteran sample. Method: In this combat-trauma exposed sample (N = 849), of which approximately half were treatment seeking, rates of resilience were determined across all models, the kappa statistic was used to determine the concordance and strength of association across models, and t-tests examined the models in relation to a self-reported resilience measure. Results: Prevalence rates were 43.7%, 30.7%, 87.4%, and 50.1% in each of the four models. Concordance analyses identified 25.7% (n = 218) considered resilient by all four models (kappa = .40, p < .001). Correlations between models and self-reported resilience were strong, but did not fully overlap. Conclusions:The discussion highlights theoretical considerations regarding the impact of various definitions and methodologies on resilience classifications, links current findings to a systems-based perspective, and ends with suggestions for future research approaches on resilience.

Sense of Threat as a Mediator of Peritraumatic Stress Symptom Development During Wartime: An Experience Sampling Study

Exposure and sense of threat have been associated with stress symptoms, yet these relationships have not been clarified during the peritraumatic period. We investigated the mediating role of sense of threat in the link between exposure to rocket warning sirens and stress symptoms during wartime, and the effect of severe mental illness (SMI) status and gender on this mediation. A 30-day twice-daily smartphone-based intensive assessment of exposure to sirens, sense of threat, and peritraumatic stress symptoms was performed during the 2014 Israel-Gaza conflict. Participants included 182 highly exposed individuals with or without SMI. Multilevel structural equation modeling analysis was performed, with SMI status and gender as confounders. Exposure affected the level of peritraumatic stress symptoms both directly, b = 1.07, p < .001, 95% CI [0.32, 1.82], and indirectly, b = 0.78, p < .001, 95% CI [0.24, 1.33], through sense of threat. The effect of sense of threat on stress symptoms was larger in the SMI group, b = 0.86, p < .001, 95% CI [0.31, 1.40]. Gender did not have a significant effect. Sense of threat has a key role in symptom development during the peritraumatic timeframe. Intervention and prevention efforts should start early and focus on promoting a sense of safety, particularly with people with SMI.

Peritraumatic Reaction Courses During War in Individuals With Serious Mental Illness: Gender, Mental Health Status, and Exposure

OBJECTIVE

We assessed in vivo symptom courses of early psychological responses during war and investigated the influence of exposure, gender, and a prior diagnosis of severe mental illness (SMI).

METHOD

Participants were 181 highly exposed individuals from the general population and community psychiatric rehabilitation centers. A 30-day twice-daily Internet-smartphone-based intensive assessment two weeks into the 2014 Israel-Gaza war estimated peritraumatic symptom clusters, sense of threat, negative emotions and cognitions, and siren exposure during two periods that varied in exposure level. Piecewise growth curve modeling procedures were performed.

RESULTS

We found different courses for most variables, gender, and SMI status. Women were more reactive two weeks into the war but reduced their reactivity level at a faster pace than males, reaching lower symptom levels one month later. Women's courses were characterized by arousal, negative emotionality, sense of threat, and reactivity to siren exposure. No-SMI men had a stable course followed by a significant reduction in arousal, negative emotions, avoidance, and perceived threat during a "return to routine" lower-level intensity period of the war. Individuals with SMI had higher reactivity levels at study onset; but while women with SMI improved over time, men with SMI worsened. SMI reactivity was characterized by negative cognitions, intrusions, and avoidance.

CONCLUSIONS

Early reactions during prolonged exposure to war are variable, dynamic, and affected by exposure context. Symptoms, emotions, and cognitions develop differentially over time and are affected by gender and mental health status. The identification of various early stress courses should inform primary intervention strategies.