Faculty Bibliography

Background: Complicated grief (CG) is hypothesized to include both attachment and traumatic distress symptoms, and a preliminary diagnosis has been placed in the trauma and stressor related DSM-5 category (APA, 2013). Posttraumatic stress disorder (PTSD) and CG often present comorbidly, and both result from a major stressor (Simon et al., 2007; Marques et al., 2013; Lenferink et al., 2018). Preliminary data suggest posttraumatic stress symptoms (PTSS) may be present across patients with CG, and not vary by whether the loss is violent or accidental in nature such as required for PTSD diagnoses (Simon et al., 2013; Kersting et al., 2011). Much less is known about how PTSS changes with CG targeted treatment, whether this change is impacted by the nature of the death, or whether it may be necessary to target PTSS separately from grief to improve functional outcomes.
Method(s): Participants were 395 individuals (mean age +/- SD = 53.0 +/- 14.5 years; 78.0% women) with a primary diagnosis of CG based on structured clinical interviews and an Inventory of Complicated Grief (ICG) score>=30. Data were derived from the previously published 20-week multi-center RCT of complicated grief therapy plus pill placebo (CGT + PLA), CGT plus citalopram (CGT + CIT), citalopram (CIT), or placebo (PLA) (Shear et al., 2016). DSM-IV PTSS were assessed using the 17-item self-report Davidson Trauma Scale (DTS). DTS total score of 40 was proposed by the developers of the scale as a cut-off for a diagnosis of PTSD, and has been frequently used as a threshold in previous studies (Davidson et al., 1997; Kastello et al., 2016; Khitab et al., 2013). Our primary analysis examined the adjusted mean difference from baseline in the DTS total and subscale scores (i.e., intrusion, avoidance-numbing, hyperarousal) over three follow-up periods (week 12, 16, and 20) by treatment arm using longitudinal mixed effects regression with participant specific random intercepts. In follow-up analyses, we investigated whether cause of death (violent vs. nonviolent) moderated the relationship between treatments and DTS total score by introducing interaction terms between cause of death and treatment arms in the mixed effects regression model.
Result(s): In the full sample, the mean DTS total score at baseline was 63.2 +/- 27.2, and 77.7% (n = 307) had DTS>=40. There was a general decreasing trend of mean DTS total scores over the 20-week period with a mean adjusted reduction of 27.4 points (d = 0.6) from baseline to week 12 (p < 0.001), and a reduction of 30.7 points (d = 0.7) from baseline to week 20 (p < 0.001). There was no significant difference in change in DTS total score at week 12 by treatment group. However, at weeks 16 and 20, CGT + PLA and CGT + CIT were each associated with a significant DTS reduction compared to placebo alone, while CIT was not. For CGT + PLA vs. PLA, there was 8.8 point (d = 0.14) greater reduction in DTS total score from baseline to week 16 (p = 0.01), and 12.5 point (d = 0.19) greater reduction from baseline to week 20 (p < 0.001). For CGT + CIT vs PLA, there was a 10.0 point (d = 0.15) greater reduction in adjusted DTS total score from baseline to week 16 (p < 0.001), and 10.7 point (d = 0.16) greater decrease from baseline to week 20 (p < 0.001). Similar trends were observed for DTS subscales-CGT + PLA and CGT + CIT demonstrated consistent reduction compared to PLA. In the model with interaction terms between treatments and cause of death, the decrease in DTS score for CGT + CIT compared to PLA was 9.5 points (d = 0.12) greater for those who had violent death compared to those who did not experience violent death (p = 0.04). For CGT + CIT vs CGT + PLA, however, the reduction in DTS total score was 4.2 points (d = 0.04) greater in those who experienced violent death compared to those who did not, but the difference was not statistically significant (p = 0.53).
Conclusion(s): Adults with primary CG assigned to CGT with or without medication demonstrated a significantly larger reduction in PTSS compared to pill placebo, whereas citalopram alone did not. These data parallel findings from the primary study findings for grief (Shear et al., 2016), and demonstrate that CGT may be an effective intervention for PTSS in those with CG. A high level of PTSS were present in this primary CG sample, and PTSS were comparable at baseline for those with violent and non-violent losses. For those who lost someone to violent death, while these data found initial support for greater PTSS reduction for combination therapy with CGT and citalopram compared to placebo, we did not find evidence for a significant benefit of combined therapy over CGT alone for CG due to violent loss. More research is needed to fully understand the role of traumatic distress and its optimal treatment in CG

BACKGROUND:Complicated and persistent grief reactions afflict approximately 10% of bereaved individuals and are associated with severe disruptions of functioning. These maladaptive patterns were defined in Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) as persistent complex bereavement disorder (PCBD), but its criteria remain debated. The condition has been studied using network analysis, showing potential for an improved understanding of PCBD. However, previous studies were limited to self-report and primarily originated from a single archival dataset. To overcome these limitations, we collected structured clinical interview data from a community sample of newly conjugally bereaved individuals (N = 305). METHODS:Gaussian graphical models (GGM) were estimated from PCBD symptoms diagnosed at 3, 14, and 25 months after the loss. A directed acyclic graph (DAG) was generated from initial PCBD symptoms, and comorbidity networks with DSM-5 symptoms of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD) were analyzed 1 year post-loss. RESULTS:In the GGM, symptoms from the social/identity PCBD symptoms cluster (i.e. role confusion, meaninglessness, and loneliness) tended to be central in the network at all assessments. In the DAG, yearning activated a cascade of PCBD symptoms, suggesting how symptoms lead into psychopathological configurations. In the comorbidity networks, PCBD and depressive symptoms formed separate communities, while PTSD symptoms divided in heterogeneous clusters. CONCLUSIONS:The network approach offered insights regarding the core symptoms of PCBD and the role of persistent yearnings. Findings are discussed regarding both clinical and theoretical implications that will serve as a step toward a more integrated understanding of PCBD.

OBJECTIVES:Emerging work reveals the neuroanatomic changes that compromise metacognition; however, little is known about the impact of premorbid factors. Research suggests that psychological variables influence the perception of cognition, but whether they influence the accuracy of those perceptions (i.e., metacognition) has not been directly examined. PARTICIPANTS AND METHODS:Using Latent Class Analysis (LCA), we tested for discrete personality (NEOFFI) and mood (STAI, BDI-II, and GDS) classes among a community-based cohort of 151 older adults, enrolled in the NKI-Rockland study. Metamemory was calculated by comparing subjective memory ratings (modified Cognitive Failures Questionnaire) to objective memory (Rey Auditory Verbal Learning Test) to determine the degree to which individuals were overconfident, underconfident, or accurate in their self-assessment. A generalized linear model was used to examine whether metamemory differed across the emergent classes. A one sample t test was used to determine whether the metamemory scores of the emergent classes were statistically significantly different from zero, that is, over or under confident. RESULTS:Two discrete classes emerged in the LCA: Class 1 was characterized predominantly by high extraversion and conscientiousness and low neuroticism and anxiety; Class 2 was characterized predominantly by low extraversion and conscientiousness and high neuroticism and anxiety. Metamemory differed significantly as a function of Class Membership (F(4,151)=5.42; p<.001), with Class 1 demonstrating accurate metamemory (M=0.21; SD=1.31) and Class 2 demonstrating under-confidence (M=-0.59; SD=1.39) in their memory. CONCLUSIONS:The significant association between psychological factors and metamemory knowledge accuracy suggests that such characteristics may be important to consider in the conceptualization, assessment, and treatment of metacognitive disturbances. (JINS, 2018, 24, 498-510).

Divorce is a common stressful event associated with both increased rates of depression and mortality. Given evidence of significant individual differences in depression following major life stressors, we examined if heterogeneous depression responses confer differential risk for mortality. Data from a population based longitudinal study was utilized to identify individuals who experienced divorce (n=559). Prospective trajectories of depression severity from before to after divorce were identified using latent growth mixture modeling, and rates of mortality between trajectories were compared as a distal outcome. Four trajectories demonstrated strongest model fit: resilience (67%), emergent depression (10%), chronic pre-to-post divorce depression (12%), and decreasing depression (11%). Mortality base rate was 9.7% by 6 years post-event, and depression that emerged due to divorce was associated with significantly greater mortality risk compared to resilient (OR, 2.46; 95% CI, 1.05-5.81) and to married individuals, while chronic depression was not associated with greater risk.

The death of a loved one can trigger a range of emotional, behavioral, motivational and cognitive reactions collectively labeled as "grief." There has been a recent resurgence of empirical interest in grief reactions, and there is now a general consensus that 7%-10% of bereaved individuals experience intense and chronic reactions termed Prolonged Grief (PG). However, there is ongoing debate about how best to conceptualize the construct. Recent studies have advanced this debate by applying a network, or causal systems approach. Whereas traditional views of psychopathology posit symptoms of disorders reflect the independent actions of latent entities, the network approach argues that the symptoms themselves interact to give rise to the disorder. A network conceptualization offers novel approaches to studying the mechanisms that contribute to PG. To date, however, research has focused only on spousal loss and only used a single archival data set. Therefore, in this paper we apply network analysis to examine relationships among PG symptoms in samples of individuals bereaved by loss of a spouse (Study 1, N = 193) and a parent (Study 2, N = 180). Participants completed the PG-13 and a measure of depression. A comparison test suggested the networks produced from each sample were not reliably different. The strongest link in both networks was between yearning and emotional pain. Meaninglessness was relatively central, whereas avoidance was peripheral in both networks. Findings are discussed with reference to theoretical models and the potential benefits a network approach may hold for understanding relationships between symptoms of PG. (PsycINFO Database Record

Paternal postpartum depression (PPD) has received little attention compared with maternal prenatal and postpartum depression, despite research reporting that paternal PPD concerns a substantial number of fathers. History of depression and antenatal depression have been identified as important PPD's risk factors, underlining the continuity of depressive symptoms during the transition to parenthood. However, only few studies have focused on the evolution of depressive symptoms with longitudinal research design. The present study aims at analyzing the longitudinal trajectories of depressive symptoms from the third trimester of pregnancy to 1 year after childbirth. One hundred and twenty-six first-time fathers completed the Edinburgh Postnatal Depression Scale at four time points (7-8 months of pregnancy, 40 days, 5-6 months, and 12 months after childbirth). Data were analyzed throughout latent growth mixture modeling. Latent growth mixture modeling analysis indicated a three-class model as the optimal solution. The three-class solution included a trajectory of low, stable depressive symptoms across the four time points ( resilient, 52%); a trajectory of moderate, relatively stable depressive symptomatology ( distress, 37%); and a trajectory of emergent clinical depression following a pattern of high depressive symptoms ( emergent depression, 11%). This study allowed to identify different subpopulation within the sample, distinguishing among mental well-being, emotional distress, and high-risk conditions when-1 year after childbirth-fathers report the highest scores to the Edinburgh Postnatal Depression Scale. These results underline the importance to analyze fathers' well-being over the time during the transition to fatherhood.