A Latent Growth Mixture Modeling Approach to PTSD Symptoms in Rape Victims

Antecedents of maternal pregnancy-related anxiety trajectories: The FinnBrain birth cohort study

OBJECTIVE

Little is known about the normative courses of pregnancy-related anxiety throughout pregnancy and their antecedents. We examined in a large scale pregnancy cohort which potentially distinct trajectories of pregnancy-related anxiety across pregnancy can be identified, and which factors predict these trajectories.

METHODS

A general sample of pregnant women (n = 2928) from the FinnBrain Birth Cohort participated in this study. Several questionnaires were filled in at 14, 24, and 34 weeks of gestation, including the pregnancy-related anxiety questionnaire-revised as main outcome. Latent Growth Mixture Modeling was applied to identify the trajectories of pregnancy-related anxiety across pregnancy, and t-tests and chi-quare tests were conducted to find antecedents of these trajectories.

RESULTS

Two distinct trajectories were identified: (1) a low symptoms group, N = 2594 (88.6%), with lower and slightly increasing levels of pregnancy-related anxiety (2) a moderately-high symptoms group, N = 334 (11.4%) reported higher and slightly decreasing levels of anxiety. Correlates of the moderately-high anxious group included a lower monthly income, drinking alcohol or smoking in early pregnancy, more daily hassles and less joy, more early life adversities, younger age, primiparity, single parenthood, using depression medication, and having higher scores on depression and general anxiety.

CONCLUSIONS

Although the majority of pregnant women fall within a low risk trajectory of pregnancy-related anxiety, another group with consistently higher levels of pregnancy anxiety throughout pregnancy may need more clinical attention, as their high pregnancy-related anxiety scores may indicate a risk profile that includes a variety of general and more pregnancy-specific risk factors, which together can negatively affect fetal and infant development and behavior.

Dynamic networks of complex posttraumatic stress disorder and depression among college students with childhood trauma: insights from cross-sectional and cross-lagged panel network analysis

Background and Objective: There is a current research gap regarding the symptom structure and underlying causal relationships between complex posttraumatic stress disorder (CPTSD) and depressive symptoms. This longitudinal study used a cross-sectional network and cross-lag panel network (CLPN) to examine how CPTSD and depression symptoms interact over time in Chinese college students with childhood trauma.Methods: From 18,933 college students who took part in 2 surveys 12 months apart, 4006 participants (mean age: 20.07 ± 2.04) who reported childhood trauma were screened. Within this sample, there were 2354 (58.8%) males and 1652 (41.2%) females.Results: In the one-year interval CLPN model, it was found that depressive symptoms may precede other symptoms. Specifically, negative emotions and negative self-evaluations are more likely to predict subsequent symptoms. Conversely, in CPTSD, symptoms related to fear and anxiety, such as avoidance, intrusion, and hyperarousal, are more frequently activated by other symptoms, including negative emotionsConclusions: This finding offers a novel perspective on the interplay between CPTSD and depression, extending the existing theory. From a clinical standpoint, the points of intervention for comorbidity between depression and CPTSD who have experienced childhood trauma differ across different stages.

Longitudinal patterns of posttraumatic stress disorder symptoms among sexual assault survivors: A latent transition analysis

OBJECTIVE

The aim of this study was to identify latent classes of posttraumatic stress disorder (PTSD) symptoms in a community sample of sexual assault survivors whose assaults occurred varying lengths of time in the past and to explore patterns of transition between those latent classes over time.

METHOD

Latent class analysis was used to identify naturally occurring subgroups of PTSD symptoms in a sample of sexual assault survivors who completed two mailed surveys 1 year apart (N = 1,271). Latent transition analysis was then used to examine individuals' probabilities of transitioning into each latent class at Time 2 based on their latent class membership at Time 1.

RESULTS

A four-class model emerged as the best fitting model at both Time 1 and Time 2. Classes demonstrated overall severity and symptom cluster severity differences. Transition into a lower severity class was more common than transition into a higher severity class, though escalation was demonstrated by 6-20% of participants in each latent class.

CONCLUSIONS

The substantial heterogeneity in sexual assault survivors' PTSD symptoms highlights the variety of ways that posttraumatic stress may be experienced years after a sexual assault. Future research should explore factors that affect long-term symptoms, including cumulative lifetime trauma and social support. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Individual and Social Risk and Protective Factors as Predictors of Trajectories of Post-traumatic Stress Symptoms in Adolescents

The present study elucidates heterogeneity in post-traumatic stress symptoms (PTSS) across adolescence in a sample of youth who have experienced myriad types and combinations of potentially traumatic events (PTEs), including substantiated physical abuse, sexual abuse, neglect and/or at least one other self-reported PTE. A machine learning technique was used to assess a multivariate set of variables (e.g., PTEs, individual risk and protective factors, social risk and protective factors, and racial and ethnic minority status) as predictors of PTSS trajectory group membership. The sample included 498 maltreated (n = 275) and comparison (n = 223) 14-19-year-old female adolescents (M = 15.27, SD = 1.06 at Time 1) assessed annually until age 19. 45.7% of participants were White, 45.3% Black, 0.4% Native American, 0.8% Hispanic, and 7.7% other. Growth mixture modeling identified three distinct trajectories of PTSS: (1) recovery (56%); (2) moderate, chronic (25%); and (3) high, chronic (19%). An elastic net model was used to test predictors of membership in the recovery versus the high, chronic PTSS trajectory groups. Results demonstrated that the recovery trajectory was characterized by the absence of sexual abuse, physical abuse, and other traumas, higher self-esteem, less affective dysregulation, less risky peers, lower levels of parent depression, and being of racial/ethnic minority status. Findings help to characterize individual variation in trajectories of PTSS following PTEs by underscoring the unique trauma responses of racial and ethnic minority youth and offering possible targets of interventions to promote recovery from PTSS.

PTSD in the Year Following Sexual Assault: A Meta-Analysis of Prospective Studies

OBJECTIVE

Sexual assault is associated with higher rates of posttraumatic stress disorder (PTSD) than other traumas, and the course of PTSD may differ by trauma type. However, the course of PTSD after sexual assault has not been summarized. The aim of this meta-analysis was to identify the prevalence and severity of PTSD and changes to the average rate of recovery in the 12 months following sexual assault.

METHOD

Authors searched four databases for prospective studies published before April 2020 and sought relevant unpublished data. Eligible studies assessed PTSD in at least 10 survivors of sexual assault in at least two time points, starting within 3 months postassault. Random effects linear-linear piecewise models were used to identify changes in average recovery rate and produce model-implied estimates of monthly point prevalence and mean symptom severity.

RESULTS

Meta-analysis of 22 unique samples (N = 2,106) indicated that 74.58% (95% confidence interval [CI]: [67.21, 81.29]) and 41.49% (95% CI: [32.36, 50.92]) of individuals met diagnostic criteria for PTSD at the first and 12th month following sexual assault, respectively. PTSD symptom severity was 47.94% (95% CI: [41.27, 54.61]) and 29.91% (95% CI: [23.10, 36.73]) of scales' maximum severity at the first and 12th month following sexual assault, respectively. Most symptom recovery occurred within the first 3 months following sexual assault, after which point the average rate of recovery slowed.

CONCLUSIONS

Findings indicate that PTSD is common and severe following sexual assault, and the first 3 months postassault may be a critical period for natural recovery.

Comorbidity of posttraumatic stress disorder and depression among adolescents following an earthquake: A longitudinal study based on network analysis

BACKGROUND

High comorbidity between posttraumatic stress disorder (PTSD) and depression among adolescents often follows severe traumatic events. Models on the pathway to comorbidity dispute greatly and how PTSD and depression get comorbidity, remain unclear.

METHODS

A follow-up investigation was conducted of 424 adolescent survivors of the Jiuzhaigou earthquake at 12 months (T1) and 27 months (T2).

RESULTS

Contemporaneous network analysis and cross-lagged panel network analysis showed that PTSD and depression are two separate disorders with strong associations via links between dysphoric symptoms of PTSD and somatic or non-somatic symptoms of depression. However, the association weakened from T1 to T2, and internal connections between symptoms within each disorder became stronger.

LIMITATION

We only measured the comorbidity of PTSD and depression at two time points following the earthquake, which may limit the long-term applicability of our findings following trauma.

CONCLUSIONS

The findings also showed that the centrality in contemporaneous networks may indicate node connectivity rather than the influence or potential causality among nodes. These results help to elucidate the relationship between PTSD and depression and could contribute to the development of appropriate therapies.

Can Women Shelters Help Reduce Symptoms of PTSD and C-PTSD? Trajectories of PTSD Symptom Development Following Partner- and Family-Related Violence

BACKGROUND

To protect women from Intimate partner violence (IPV), women's shelters should not only provide emergency safety from IPV exposure, but also prolonged support that empowers women to build a life free from violence. The present study aims to investigate individual symptom development in association with residency at a women's shelter.

METHOD

Data were collected at four different timepoints, that is, enrolment (T1, N = 150), 3-months residency (T2, = 110), 6-months residency (T3, N = 68) and after relocation (T4, N = 63). Women were included from four Danish women's shelters. The International Trauma Questionnaire (ITQ) was applied to test for post-traumatic stress disorder (PTSD) and Complex-PTSD (C-PTSD) at all timepoints. A paired sample t-test was used to test the mean symptom development, and a Latent Class Growth Analysis (LCGA) was applied to test for different classes of PTSD-trajectories. Logistic regression was applied to predict class membership from shelter-related variables and symptom severity, that is, length of residency, psychological counselling, revictimization and key symptoms of C-PTSD.

RESULTS

The prevalence of PTSD (31%) and C-PTSD (37.9%) was high at enrolment. Although t-tests suggested a significant decline in symptoms at follow-up, the LCGA revealed different classes of symptom development. The two-class model was found to be the best representation of data with low-symptom- and high-symptom profiles, respectively. Overall, the largest decline in symptoms occurred within the first 3 months of residency. Revictimization was high and was further found to predict class membership. However, when included in a multiple regression only symptom severity predicted the high-symptoms profile class.

DISCUSSION

Psychological treatment focussing on PTSD and C-PTSD is important for the women's future well-being and safety. Reports on revictimization was alarmingly high, which emphasises a continuing need to protect women from psychological violence within the shelters. These findings should be replicated in larger samples before we can draw any conclusion.

Risk and resilience in trajectories of post-traumatic stress symptoms among first responders after the 2011 Great East Japan Earthquake: 7-year prospective cohort study

BACKGROUND

First responders to disasters are at risk of developing post-traumatic stress disorder (PTSD). The trajectories of post-traumatic stress symptom severity differ among individuals, even if they are exposed to similar events. These trajectories have not yet been reported in non-Western first responders.

AIMS

We aimed to explore post-traumatic stress symptom severity trajectories and their risk factors in first responders to the 2011 Great East Japan Earthquake (GEJE) - a historically large earthquake that resulted in a tsunami and a nuclear disaster.

METHOD

A total of 55 632 Japan Ground Self-Defense Force (JGSDF) personnel dispatched to the GEJE were enrolled in this 7-year longitudinal cohort study. PTSD symptom severity was measured using the Impact of Event Scale-Revised. Trajectories were identified using latent growth mixture models (LGMM). Nine potential risk factors for the symptom severity trajectories were analysed using multinomial logistic regression.

RESULTS

Five symptom severity trajectories were identified: 'resilient' (54.8%), 'recovery' (24.6%), 'incomplete recovery' (10.7%), 'late-onset' (5.7%), and 'chronic' (4.3%). The main risk factors for the four non-resilient trajectories were older age, personal disaster experiences and working conditions. These working conditions included duties involving body recovery or radiation exposure risk, longer deployment length, later or no post-deployment leave and longer post-deployment overtime.

CONCLUSIONS

The majority of first responders to GEJE were resilient and developed few or no PTSD symptoms. A substantial minority experienced late-onset and chronic symptom severity trajectories. The identified risk factors can inform policies for prevention, early detection and intervention in individuals at risk of developing symptomatic trajectories.

Time course of symptoms in posttraumatic stress disorder with delayed expression: A systematic review

OBJECTIVE

To examine the hypothesis that PTSD with delayed expression in some cases occurs without subthreshold PTSD symptoms above background levels bridging the gap between the traumatic exposure(s) and the clinical diagnosis.

METHODS

We performed systematic searches of peer-reviewed papers in English referenced in Pubmed, Embase, or PsycINFO and ascertained 34 prospective studies of PTSD symptom trajectories identified by latent class growth statistical modeling. Studies with delayed and low-stable trajectories provided appropriate data for this study. We computed the difference between the delayed trajectory PTSD symptom sumscore and the low-stable PTSD sumscore at the observed points in time after the traumatic event(s).

RESULTS

In 29 study populations, the latent class growth analyses displayed delayed trajectories, and in these, we identified 110 data points (% PTSD sumscore difference/months since traumatic exposure). The median PTSD symptom sumscore was 25% higher during the initial 6 months among individuals in the delayed trajectory compared to those in low-stable trajectory. From this level, the difference widened and reached a plateau of 40-50% higher. The variation was large, and the baseline participation rate and loss to follow-up were exceeding 25% in the majority of the studies. Heterogeneity of populations, measures, and analyses precluded formal meta-analysis.

CONCLUSION

Delayed PTSD is preceded by PTSD symptoms during the first year in most cases. Still, few individuals may experience an asymptomatic delay. The results underpin the rationale for monitoring PTSD symptoms and may inform forensic assessments in that delayed PTSD without symptoms bridging the traumatic event is rare.

Sex-differential PTSD symptom trajectories across one year following suspected serious injury

BACKGROUND

Recent years have shown an increased application of prospective trajectory-oriented approaches to posttraumatic stress disorder (PTSD). Although women are generally considered at increased PTSD risk, sex and gender differences in PTSD symptom trajectories have not yet been extensively studied.

OBJECTIVE

To perform an in-depth investigation of differences in PTSD symptom trajectories across one-year post-trauma between men and women, by interpreting the general trends of trajectories observed in sex-disaggregated samples, and comparing within-trajectory symptom course and prevalence rates.

METHOD

We included N = 554 participants (62.5% men, 37.5% women) from a multi-centre prospective cohort of emergency department patients with suspected severe injury. PTSD symptom severity was assessed at 1, 3, 6, and 12 months post-trauma, using the Clinician-Administered PTSD Scale for DSM-IV. Latent growth mixture modelling on longitudinal PTSD symptoms was performed within the sex-disaggregated whole samples. Bayesian modelling with informative priors was applied for reliable model estimation, considering the imbalanced prevalence of the expected latent trajectories.

RESULTS

In terms of general trends, the same trajectories were observed for men and women, i.e. resilient, recovery, chronic symptoms and delayed onset. Within-trajectory symptom courses were largely comparable, but resilient women had higher symptoms than resilient men. Sex differences in prevalence rates were observed for the recovery (higher in women) and delayed onset (higher in men) trajectories. Model fit for the sex-disaggregated samples was better than for the whole sample, indicating preferred application of sex-disaggregation. Analyses within the whole sample led to biased estimates of overall and sex-specific trajectory prevalence rates.

CONCLUSIONS

Sex-disaggregated trajectory analyses revealed limited sex differences in PTSD symptom trajectories within one-year post-trauma in terms of general trends, courses and prevalence rates. The observed biased trajectory prevalence rates in the whole sample emphasize the necessity to apply appropriate statistical techniques when conducting sex-sensitive research.

The 9-year clinical course of depressive and anxiety disorders: New NESDA findings

BACKGROUND

In longitudinal research, switching between diagnoses should be considered when examining patients with depression and anxiety. We investigated course trajectories of affective disorders over a nine-year period, comparing a categorical approach using diagnoses to a dimensional approach using symptom severity.

METHOD

Patients with a current depressive and/or anxiety disorder at baseline (N = 1701) were selected from the Netherlands Study of Depression and Anxiety (NESDA). Using psychiatric diagnoses, we described 'consistently recovered,' 'intermittently recovered,' 'intermittently recurrent', and 'consistently chronic' at two-, four-, six-, and nine-year follow-up. Additionally, latent class growth analysis (LCGA) using depressive, anxiety, fear, and worry symptom severity scores was used to identify distinct classes.

RESULTS

Considering the categorical approach, 8.5% were chronic, 32.9% were intermittently recurrent, 37.6% were intermittently recovered, and 21.0% remained consistently recovered from any affective disorder at nine-year follow-up. In the dimensional approach, 66.6% were chronic, 25.9% showed partial recovery, and 7.6% had recovered.

LIMITATIONS

30.6% of patients were lost to follow-up. Diagnoses were rated by the interviewer and questionnaires were completed by the participant.

CONCLUSIONS

Using diagnoses alone as discrete categories to describe clinical course fails to fully capture the persistence of affective symptoms that were observed when using a dimensional approach. The enduring, fluctuating presence of subthreshold affective symptoms likely predisposes patients to frequent relapse. The commonness of subthreshold symptoms and their adverse impact on long-term prognoses deserve continuous clinical attention in mental health care as well further research.

Psychological Distress and Attachment Insecurity of Stalked Mothers

There is a lack of research about intimate partner stalking when victim and stalker have children together. The aim of the current study was to provide knowledge about the mental health status and attachment patterns of mothers stalked by the father of one or more of their children. One hundred ninety six Danish women, recruited via a closed social network for stalked mothers, completed an anonymous online questionnaire concerning their experiences of violence during and after the relationship with the stalker, relationship characteristics, attachment patterns, and psychological distress. Results indicated high exposure to psychological maltreatment during the victim-stalker relationship, harassing and violent stalking behaviors after relationship termination, and high levels of functional disabilities, PTSD (posttraumatic stress disorder), other trauma-related, affective, and somatization symptoms. Furthermore, the women retrospectively reported an increase in attachment insecurity from the time before their relationship with the stalker to the time of study participation (after they experienced relationship violence and/or stalking). Stalking behaviors uniquely contributed to the explanation of the mothers' psychological distress above the effects of relationship violence. Moreover, attachment insecurity appeared to be the strongest predictor of psychological distress. Having children together with their stalker captures women in an ongoing situation of threat and interpersonal traumatization that differs from other forms of stalking in many respects. The present study is the first drawing attention to the experiences and suffering of stalked mothers, a particularly vulnerable group of stalking victims.

Retrospectively assessed trajectories of PTSD symptoms and their subsequent comorbidities

BACKGROUND

Dynamic trajectories of psychopathology, such as post-traumatic stress disorder (PTSD) provide a key to understanding human adjustment processes after trauma exposure. Recent studies have suggested more heterogeneous mental health outcomes than the initially identified four adjustment trajectories. To explore this heterogeneity, we investigated the after-trauma adjustment patterns of psychopathology based on retrospective lifetime data. This was first carried out on the PTSD symptoms (PTSS, including no symptoms, few symptoms, partial and full PTSD), and secondly together with their post-trauma comorbidities.

METHODS

Data of trauma and the post-trauma mental disorders were collected for a large and randomly selected community sample, resulting in a N = 960 trauma-exposed subsample. Pattern recognition as carried out by latent class analysis (LCA) was implemented on this subsample. LCA was first exploited to identify the potential trajectory patterns of PTSS and next to explore the patterns of mental adjustments when additional post-trauma comorbid disorders, such as anxiety, mood and substance use disorders, were assessed.

RESULTS

Four PTSS trajectory patterns were found, namely resilient, chronic, recovered, and delayed onset, consistent with findings from longitudinal PTSD studies. When post-trauma comorbidities were evaluated, other than the trajectory pattern of delayed onset which retained a low comorbidity profile, the other three split respectively and paired up with either low, moderate or high comorbidity profile.

CONCLUSIONS

Mental health outcomes after trauma exposure were considerably more complex than the four previously established adjustment trajectories. Here, we uncovered additional and more heterogeneous adjustment patterns comprised of PTSS trajectories and post-trauma comorbidity profiles.

The role of age and mode of delivery in the STEPS intervention: a longitudinal pilot-study in treatment of posttraumatic stress symptoms in Danish survivors of sexual assault

Background: The STEPS programme has been succesfully implemented as a group-based treatment of trauma symptoms after rape for adolescents. The STEPS intervention was translated from Dutch to Danish and offered to adults in addition to adolescents as well as an individual intervention in addition to a group-based intervention at a Danish Centre for Rape Victims through 2011 to 2014. The programme was translated from Dutch to Danish and expanded to adults in addition to adolescents as well as to an individual intervention in addition to a group-based intervention at a Danish Centre for Rape Victims through 2011 to 2014. Objective: The present study observes  development in trauma symptoms and ICD-11 diagnostic status during an adapted version of the intervention programme 'STEPS' for survivors of sexual assault. Methods: A prospective uncontrolled study was conducted, monitoring symptoms of posttraumatic stress and other trauma-related symptomatology before treatment, after treatment and at 6 and 12 months' follow up for 103 referrals receiving individual or group-based STEPS. Tentative diagnoses of posttraumatic stress disorder (PTSD) and complex PTSD were assigned to participants according to the ICD-11 to observe the development in diagnostic status across time, and multilevel modelling was used to assess the development of symptom severity and to assess the moderating effect of age-group and mode of delivery. Results: A loglinear function representing large and statistically significant decline in symptomatology over time provided the best fit for all measures of trauma-related symptomatology. The decline was not moderated by age-group or mode of intervention. Dropout rates were independent of mode of intervention and age. Conclusion: The adaption of the STEPS programme to adults and as an individual intervention is feasible and maintains effect sizes comparable to those observed in the original intervention. Further research using randomized controlled trials is needed to ascribe the observed effect to the STEPS programme.

Skew t Mixture Latent State-Trait Analysis: A Monte Carlo Simulation Study on Statistical Performance

This simulation study assessed the statistical performance of a skew t mixture latent state-trait (LST) model for the analysis of longitudinal data. The model aims to identify interpretable latent classes with class-specific LST model parameters. A skew t-distribution within classes is allowed to account for non-normal outcomes. This flexible function covers heavy tails and may reduce the risk of identifying spurious classes, e.g., in case of outliers. Sample size, number of occasions and skewness of the trait variable were varied. Generally, parameter estimation accuracy increases with increasing numbers of observations and occasions. Larger bias compared to other parameters occurs for parameters referring to the skew t-distribution and variances of the latent trait variables. Standard error estimation accuracy shows diffuse patterns across conditions and parameters. Overall model performance is acceptable for large conditions, even though none of the models is free from bias. The application of the skew t mixture model in case of large numbers of occasions and observations may be possible, but results should be treated with caution. Moreover, the skew t approach may be useful for other mixture models.

Bayesian PTSD-Trajectory Analysis with Informed Priors Based on a Systematic Literature Search and Expert Elicitation

There is a recent increase in interest of Bayesian analysis. However, little effort has been made thus far to directly incorporate background knowledge via the prior distribution into the analyses. This process might be especially useful in the context of latent growth mixture modeling when one or more of the latent groups are expected to be relatively small due to what we refer to as limited data. We argue that the use of Bayesian statistics has great advantages in limited data situations, but only if background knowledge can be incorporated into the analysis via prior distributions. We highlight these advantages through a data set including patients with burn injuries and analyze trajectories of posttraumatic stress symptoms using the Bayesian framework following the steps of the WAMBS-checklist. In the included example, we illustrate how to obtain background information using previous literature based on a systematic literature search and by using expert knowledge. Finally, we show how to translate this knowledge into prior distributions and we illustrate the importance of conducting a prior sensitivity analysis. Although our example is from the trauma field, the techniques we illustrate can be applied to any field.

Post-traumatic stress disorder associated with sexual assault among women in the WHO World Mental Health Surveys

BACKGROUND

Sexual assault is a global concern with post-traumatic stress disorder (PTSD), one of the common sequelae. Early intervention can help prevent PTSD, making identification of those at high risk for the disorder a priority. Lack of representative sampling of both sexual assault survivors and sexual assaults in prior studies might have reduced the ability to develop accurate prediction models for early identification of high-risk sexual assault survivors.

METHODS

Data come from 12 face-to-face, cross-sectional surveys of community-dwelling adults conducted in 11 countries. Analysis was based on the data from the 411 women from these surveys for whom sexual assault was the randomly selected lifetime traumatic event (TE). Seven classes of predictors were assessed: socio-demographics, characteristics of the assault, the respondent's retrospective perception that she could have prevented the assault, other prior lifetime TEs, exposure to childhood family adversities and prior mental disorders.

RESULTS

Prevalence of Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) PTSD associated with randomly selected sexual assaults was 20.2%. PTSD was more common for repeated than single-occurrence victimization and positively associated with prior TEs and childhood adversities. Respondent's perception that she could have prevented the assault interacted with history of mental disorder such that it reduced odds of PTSD, but only among women without prior disorders (odds ratio 0.2, 95% confidence interval 0.1-0.9). The final model estimated that 40.3% of women with PTSD would be found among the 10% with the highest predicted risk.

CONCLUSIONS

Whether counterfactual preventability cognitions are adaptive may depend on mental health history. Predictive modelling may be useful in targeting high-risk women for preventive interventions.

Prospective post-traumatic stress disorder symptom trajectories in active duty and separated military personnel

Post-traumatic stress disorder (PTSD) is a serious mental illness that affects current and former military service members at a disproportionately higher rate than the civilian population. Prior studies have shown that PTSD symptoms follow multiple trajectories in civilians and military personnel. The current study examines whether the trajectories of PTSD symptoms of veterans separated from the military are similar to continuously serving military personnel. The Millennium Cohort Study is a population-based study of military service members that commenced in 2001 with follow-up assessments occurring approximately every 3 years thereafter. PTSD symptoms were assessed at each time point using the PTSD Checklist. Latent growth mixture modeling was used to compare PTSD symptom trajectories between personnel who separated (veterans; n = 5292) and personnel who remained in military service (active duty; n = 16,788). Four distinct classes (resilient, delayed-onset, improving, and elevated-recovering) described PTSD symptoms trajectories in both veterans and active duty personnel. Trajectory shapes were qualitatively similar between active duty and veterans. However, within the resilient, improving, and elevated recovering classes, the shapes were statistically different. Although the low-symptom class was the most common in both groups (veterans: 82%; active duty: 87%), veterans were more likely to be classified in the other three classes (in all cases, p < 0.01). The shape of each trajectory was highly similar between the two groups despite differences in military and civilian life.

Trajectories of posttraumatic stress symptoms after civilian or deployment traumatic event experiences

OBJECTIVE

Growth mixture model studies have observed substantial differences in the longitudinal patterns of posttraumatic stress symptom (PTSS) trajectories. This variability could represent chance iterations of some prototypical trajectories or measurable variability induced by some aspect of the source population or traumatic event experience. Testing the latter, the authors analyzed a nationally representative sample of U.S. Reserve and National Guard members to identify the influence of civilian versus deployment trauma on the number of PTSS trajectories, the nature of these trajectories, and the proportion of respondents in each trajectory.

METHOD

Data were collected from 2010 to 2013 and latent class growth analysis was used to identify different patterns of PTSS in persons exposed to both a civilian and a deployment trauma and to test whether respondents' exposure to civilian trauma developed similar or distinct patterns of response compared to respondents exposed to deployment trauma.

RESULTS

PTSS were found to follow 3 trajectories, with respondents predominantly clustered in the lowest symptom trajectory for both trauma types. Covariates associated with each trajectory were similar between the 2 traumas, except number of civilian-related traumatic events; specifically, a higher number of civilian traumatic events was associated with membership in the borderline-stable, compared to low-consistent, trajectory, for civilian traumas and associated with the preexisting chronic trajectory for military traumas.

CONCLUSIONS

Holding the source population constant, PTSS trajectory models were similar for civilian and deployment-related trauma, suggesting that irrespective of traumatic event experienced there might be some universal trajectory patterns. Thus, the differences in source populations may have induced the heterogeneity observed among prior PTSS trajectory studies. (PsycINFO Database Record

Interpersonal polyvictimization and mental health in males

A consistent conclusion within the extant literature is that victimization and in particular polyvictimization leads to adverse mental health outcomes. A large body of literature exists as it pertains to the association between victimisation and mental health in studies utilising samples of childhood victims, female only victims, and samples of male and female victims; less research exists as it relates to males victims of interpersonal violence. The aim of the current study was therefore to identify profiles of interpersonal victimizations in an exclusively male sample and to assess their differential impact on a number of adverse mental health outcomes. Using data from 14,477 adult males from Wave 2 of the NESARC, we identified interpersonal victimization profiles via Latent Class Analysis. Multinomial Logistic Regression was subsequently utilized to establish risk across mental health disorders. A 4-class solution was optimal. Victimisation profiles showed elevated odds ratios for the presence of mental health disorders; suggesting that multiple life-course victimisation typologies exists, and that victimization is strongly associated with psychopathology. Several additional notable findings are discussed.

PTSD Symptom Trajectories in Disaster Volunteers: The Role of Self-Efficacy, Social Acknowledgement, and Tasks Carried Out

Millions of volunteers respond after disasters, with a 24% to 46% risk of developing posttraumatic stress disorder (PTSD). It is unclear which symptom trajectories develop and how they differ between core (volunteering before the disaster) and noncore volunteers (joining after the disaster) and which factors predict trajectories. Symptoms of PTSD were assessed at 6-, 12-, and 18-months postearthquake in 449 volunteers in Indonesia. Demographics, previous mental health service use, self-efficacy, social acknowledgment, and type of tasks were assessed at 6 months. In both core and noncore volunteers, 2 PTSD symptom trajectories emerged: a resilient trajectory (moderate levels of symptoms with a slow decrease over time; 90.9%) and a chronic trajectory (higher levels of symptoms with an increase over time; 9.1%). In both trajectories, core volunteers had fewer symptoms than noncore volunteers. Core volunteers in the chronic trajectory were characterized by having sought prior mental help, reported lower levels of self-efficacy and social acknowledgment, and were more likely to have provided psychosocial support to beneficiaries (Cramér's V = .17 to .27, partial η(2) = .02 to .06). Aid organizations should identify and follow up chronic PTSD trajectories in volunteers, including the noncore, who may be out of sight to the organization after the acute response phase.

Longitudinal trajectories of post-traumatic stress disorder symptoms among adolescents after the Wenchuan earthquake in China

BACKGROUND

This study examines the patterns and predictors of post-traumatic stress disorder (PTSD) symptom trajectories among adolescent survivors following the Wenchuan earthquake in China.

METHOD

A total of 1573 adolescent survivors were followed up at 6, 12, 18 and 24 months post-earthquake. Participants completed the Posttraumatic Stress Disorder Self-Rating Scale (PTSD-SS), Adolescent Self-Rating Life Events Checklist, Social Support Rate Scale, and the Simplified Coping Style Questionnaire. Distinct patterns of PTSD symptom trajectories were established through grouping participants based on time-varying changes of developing PTSD (i.e. reaching the clinical cut-off on the PTSD-SS). Multivariate logistic regressions were used to examine predictors for trajectory membership.

RESULTS

PTSD prevalence rates at 6, 12, 18 and 24 months were 21.0, 23.3, 13.5 and 14.7%, respectively. Five PTSD symptom trajectories were observed: resistance (65.3% of the sample), recovery (20.0%), relapsing/remitting (3.3%), delayed dysfunction (4.2%) and chronic dysfunction (7.2%). Female gender and senior grade were related to higher risk of developing PTSD symptoms in at least one time point, whereas being an only child increased the possibility of recovery relative to chronic dysfunction. Family members' injury/loss and witness of traumatic scenes could also cause PTSD chronicity. More negative life events, less social support, more negative coping and less positive coping were also common predictors for not developing resistance or recovery.

CONCLUSIONS

Adolescents' PTSD symptoms showed an anniversary reaction. Although many adolescents remain euthymic or recover over time, some adolescents, especially those with the risk factors noted above, exhibit chronic, delayed or relapsing symptoms. Thus, the need for individualized intervention with these adolescents is indicated.

The DSM-5 dissociative-PTSD subtype: can levels of depression, anxiety, hostility, and sleeping difficulties differentiate between dissociative-PTSD and PTSD in rape and sexual assault victims?

The DSM-5 currently includes a dissociative-PTSD subtype within its nomenclature. Several studies have confirmed the dissociative-PTSD subtype in both American Veteran and American civilian samples. Studies have begun to assess specific factors which differentiate between dissociative vs. non-dissociative PTSD. The current study takes a novel approach to investigating the presence of a dissociative-PTSD subtype in its use of European victims of sexual assault and rape (N=351). Utilizing Latent Profile Analyses, we hypothesized that a discrete group of individuals would represent a dissociative-PTSD subtype. We additionally hypothesized that levels of depression, anger, hostility, and sleeping difficulties would differentiate dissociative-PTSD from a similarly severe form of PTSD in the absence of dissociation. Results concluded that there were four discrete groups termed baseline, moderate PTSD, high PTSD, and dissociative-PTSD. The dissociative-PTSD group encompassed 13.1% of the sample and evidenced significantly higher mean scores on measures of depression, anxiety, hostility, and sleeping difficulties. Implications are discussed in relation to both treatment planning and the newly published DSM-5.

A person-centered analysis of posttraumatic stress disorder symptoms following a natural disaster: predictors of latent class membership

The present study applied latent class analysis to a sample of 810 participants residing in southern Mississippi at the time of Hurricane Katrina to determine if people would report distinct, meaningful PTSD symptom classes following a natural disaster. We found a four-class solution that distinguished persons on the basis of PTSD symptom severity/pervasiveness (Severe, Moderate, Mild, and Negligible Classes). Multinomial logistic regression models demonstrated that membership in the Severe and Moderate Classes was associated with potentially traumatic hurricane-specific experiences (e.g., being physically injured, seeing dead bodies), pre-hurricane traumatic events, co-occurring depression symptom severity and suicidal ideation, certain religious beliefs, and post-hurricane stressors (e.g., social support). Collectively, the findings suggest that more severe/pervasive typologies of natural disaster PTSD may be predicted by the frequency and severity of exposure to stressful/traumatic experiences (before, during, and after the disaster), co-occurring psychopathology, and specific internal beliefs.