An examination of episodic future thinking in the emergency department among youth experiencing suicidal thoughts and behaviors.

Youth experiencing suicidal thoughts and/or behaviors (STBs) frequently present to emergency departments for acute psychiatric care. These settings offer a transitory yet pivotal opportunity to assess, intervene on, and plan continued care for STBs. This study examined a clinically relevant, understudied aspect of psychological functioning among youth experiencing STBs in the emergency department: episodic future thinking, or the ability to imagine discrete autobiographical future events. A sample of 167 youths (10-17 years) presenting to a pediatric psychiatric emergency department for STBs completed a performance-based measure of episodic future thinking assessing richness in detail and subjective characteristics of imagined future events. STB recurrence was assessed 6 months later. Immediately following a suicide-related crisis, youth demonstrated mixed abilities to imagine their future: they generated some concrete future event details but did not subjectively perceive these events as being very detailed or likely to occur. Older adolescents (i.e., 15-17) generated more episodic details than pre-/younger adolescents (i.e., 10-14), particularly those pertaining to actions or sensory perceptions. There was no evidence linking less detailed episodic future thinking and greater likelihood of STBs following the emergency department visit; instead, hopelessness was a more robust risk factor. Findings underscore the importance and clinical utility of better understanding the psychological state of youth during or immediately following a suicide-related crisis. In particular, assessing youths' future thinking abilities in the emergency department may directly inform approaches to acute care delivery.

Investigating the Utility of Fixed-margin Sampling in Network Psychometrics.

Steinley, Hoffman, Brusco, and Sher (2017) proposed a new method for evaluating the performance of psychological network models: fixed-margin sampling. The authors investigated LASSO regularized Ising models (eLasso) by generating random datasets with the same margins as the original binary dataset, and concluded that many estimated eLasso parameters are not distinguishable from those that would be expected if the data were generated by chance. We argue that fixed-margin sampling cannot be used for this purpose, as it generates data under a particular null-hypothesis: a unidimensional factor model with interchangeable indicators (i.e., the Rasch model). We show this by discussing relevant psychometric literature and by performing simulation studies. Results indicate that while eLasso correctly estimated network models and estimated almost no edges due to chance, fixed-margin sampling performed poorly in classifying true effects as "interesting" (Steinley et al. 2017, p. 1004). Further simulation studies indicate that fixed-margin sampling offers a powerful method for highlighting local misfit from the Rasch model, but performs only moderately in identifying global departures from the Rasch model. We conclude that fixed-margin sampling is not up to the task of assessing if results from estimated Ising models or other multivariate psychometric models are due to chance.

The pain of grief: Exploring the concept of psychological pain and its relation to complicated grief, depression, and risk for suicide in bereaved adults.

OBJECTIVE: Emotional or psychological pain is a core symptom of complicated grief (CG), yet its correlates are largely unexamined among bereaved individuals. METHOD: Bereaved adults (N = 135) completed self-reports regarding psychological pain, CG, depression, and suicidality. We assessed correlations among these variables and tested whether psychological pain was elevated among individuals with CG and individuals with current or past suicidal thoughts and behaviors. Using logistic regression, we also assessed psychological pain, depression, and CG symptom severity as predictors of suicide risk. RESULTS: Psychological pain was strongly associated with both CG and depression severity and was elevated among subjects reporting current or past suicidality. CG and depression were not statistically significant predictors of suicidal ideation after accounting for the effects of psychological pain. CONCLUSIONS: Psychological pain is strongly associated with bereavement-related psychopathology and warrants further investigation in studies examining the nature and treatment of CG.

Systems all the way down: embracing complexity in mental health research.

In this editorial for the collection on complexity in mental health research, we introduce and summarize the inaugural contributions to this collection: a series of theoretical, methodological, and empirical papers that aim to chart a path forward for investigating mental health in all its complexity. A central theme emerges from these contributions: if we are to make genuine progress in explaining, predicting, and treating mental illness, we must study the systems from which psychopathology emerges. As the articles in this collection make clear, the systems that give rise to psychopathology encompass a host of components across biological, psychological, and social levels of analysis, intertwined in a web of complex interactions. The task of advancing our understanding of these systems will be a challenging one. Yet, this challenge presents a unique opportunity. From physics to ecology, there is a rapidly evolving body of interdisciplinary research dedicated to investigating complex systems. This work provides clear guidance for psychiatric research, opportunities for collaboration, and a set of tools and concepts from which we can draw in our efforts to understand mental health, helping us move toward our ultimate aim of improving the prevention and treatment of psychopathology.

Bridging the gap between complexity science and clinical practice by formalizing idiographic theories: a computational model of functional analysis.

BACKGROUND: The past decades of research have seen an increase in statistical tools to explore the complex dynamics of mental health from patient data, yet the application of these tools in clinical practice remains uncommon. This is surprising, given that clinical reasoning, e.g., case conceptualizations, largely coincides with the dynamical system approach. We argue that the gap between statistical tools and clinical practice can partly be explained by the fact that current estimation techniques disregard theoretical and practical considerations relevant to psychotherapy. To address this issue, we propose that case conceptualizations should be formalized. We illustrate this approach by introducing a computational model of functional analysis, a framework commonly used by practitioners to formulate case conceptualizations and design patient-tailored treatment. METHODS: We outline the general approach of formalizing idiographic theories, drawing on the example of a functional analysis for a patient suffering from panic disorder. We specified the system using a series of differential equations and simulated different scenarios; first, we simulated data without intervening in the system to examine the effects of avoidant coping on the development of panic symptomatic. Second, we formalized two interventions commonly used in cognitive behavioral therapy (CBT; exposure and cognitive reappraisal) and subsequently simulated their effects on the system. RESULTS: The first simulation showed that the specified system could recover several aspects of the phenomenon (panic disorder), however, also showed some incongruency with the nature of panic attacks (e.g., rapid decreases were not observed). The second simulation study illustrated differential effects of CBT interventions for this patient. All tested interventions could decrease panic levels in the system. CONCLUSIONS: Formalizing idiographic theories is promising in bridging the gap between complexity science and clinical practice and can help foster more rigorous scientific practices in psychotherapy, through enhancing theory development. More precise case conceptualizations could potentially improve intervention planning and treatment outcomes. We discuss applications in psychotherapy and future directions, amongst others barriers for systematic theory evaluation and extending the framework to incorporate interactions between individual systems, relevant for modeling social learning processes. With this report, we hope to stimulate future efforts in formalizing clinical frameworks.

The network approach to psychopathology: a review of the literature 2008-2018 and an agenda for future research.

The network approach to psychopathology posits that mental disorders can be conceptualized and studied as causal systems of mutually reinforcing symptoms. This approach, first posited in 2008, has grown substantially over the past decade and is now a full-fledged area of psychiatric research. In this article, we provide an overview and critical analysis of 363 articles produced in the first decade of this research program, with a focus on key theoretical, methodological, and empirical contributions. In addition, we turn our attention to the next decade of the network approach and propose critical avenues for future research in each of these domains. We argue that this program of research will be best served by working toward two overarching aims: (a) the identification of robust empirical phenomena and (b) the development of formal theories that can explain those phenomena. We recommend specific steps forward within this broad framework and argue that these steps are necessary if the network approach is to develop into a progressive program of research capable of producing a cumulative body of knowledge about how specific mental disorders operate as causal systems.

Symptomatology following loss and trauma: Latent class and network analyses of prolonged grief disorder, posttraumatic stress disorder, and depression in a treatment-seeking trauma-exposed sample.

BACKGROUND: Although bereavement is likely a common stressor among patients referred to a psychotrauma clinic, no study has yet examined the co-occurrence and relationships between symptoms of prolonged grief disorder (PGD), posttraumatic stress disorder (PTSD), and major depressive disorder symptoms in this population. METHOD: In a sample of patients seeking treatment following psychological trauma (n = 458), we used latent class analysis to identify classes of patients sharing the same profile of PGD, PTSD, and depression symptoms. We then used network analysis to investigate the relationships among these symptoms and with loss-related variables. RESULTS: Most participants (65%) were members of a class that exhibited elevated endorsement of PGD symptoms. PGD, PTSD, and depression symptoms hung together as highly overlapping but distinguishable communities of symptoms. Symptoms related to social isolation and diminished sense of self bridged these communities. Violent loss was associated with more difficulty accepting the loss. The loss of close kin was most strongly associated with difficulty moving on in life. CONCLUSIONS: PGD symptoms are common in trauma-exposed bereaved adults and closely associated with symptoms of PTSD and depression, illustrating the importance of assessing bereavement and PGD symptoms in those seeking treatment following trauma.

Commentary on evidence in support of a grief-related condition as a DSM diagnosis.

The death of a loved one is one of life's greatest stressors. Most bereaved individuals experience a period of acute grief that diminishes in intensity as they adapt to the changes brought about by their loss. Over the past four decades, a growing body of research has focused on a form of prolonged grief that is painful and impairing. There is a substantial and growing evidence base that supports the validity and significance of a grief-related disorder, including the clinical value of being able to diagnose it and provide effective targeted treatment. ICD-11 will include a new diagnosis of prolonged grief disorder (PGD). DSM-5 called this condition persistent complex bereavement disorder (PCBD) and included it in Section III, signaling agreement that a diagnosis is warranted while further research is needed to determine the optimal criteria. Given the remaining uncertainties, reading this literature can be confusing. There is inconsistency in naming the condition (including complicated grief as well as PGD and PCBD) and lack of uniformity in identifying it, with respect to the optimal threshold and timeframe for distinguishing it from normal grief. As an introductory commentary for this Depression and Anxiety special edition on this form of grief, the authors discuss the history, commonalities, and key areas of variability in identifying this condition. We review the state of diagnostic criteria for DSM-5 and the current ICD-11 diagnostic guideline, highlighting the clinical relevance of making this diagnosis.

Understanding the impact of complicated grief on combat related posttraumatic stress disorder, guilt, suicide, and functional impairment in a clinical trial of post-9/11 service members and veterans.

BACKGROUND: Complicated grief (CG) is a bereavement-specific syndrome distinct from but commonly comorbid with posttraumatic stress disorder (PTSD). While bereavement is common among military personnel (Simon et al., 2018), there is little research on the impact of CG comorbidity on PTSD treatment outcomes. METHODS: To evaluate the impact of comorbid CG on PTSD treatment outcomes we analyzed data from a randomized trial comparing prolonged exposure, sertraline, and their combination in veterans with a primary diagnosis of combat-related PTSD (n = 194). Assessment of PTSD, trauma-related guilt, functional impairment, and suicidal ideation and behavior occurred at baseline and weeks 6, 12, and 24 during the 24-week trial. RESULTS: CG was associated with lower PTSD treatment response (odds ratio (OR) = 0.29, 95% confidence interval (CI) [0.12, 0.69], p = 0.005) and remission (OR = 0.28, 95% CI [0.11, 0.71], p = 0.007). Those with CG had greater severity of PTSD (p = 0.005) and trauma-related guilt (<0.001) at baseline and endpoint. In addition, those with CG were more likely to experience suicidal ideation during the study (CG: 35%, 14/40 vs. no CG 15%, 20/130; OR = 3.01, 95% CI [1.29, 7.02], p = 0.011). CONCLUSIONS: Comorbid CG is associated with elevated PTSD severity and independently associated with poorer endpoint treatment outcomes in veterans with combat-related PTSD, suggesting that screening and additional intervention for CG may be needed.

Differential associations between interpersonal variables and quality-of-life in a sample of college students.

PURPOSE: Humans are fundamentally social beings, and the relationships we form with others are crucial for our well-being. Research across a variety of domains has established the association between a variety of interpersonal factors and health outcomes, including quality-of-life. However, there is a need for a more integrative, holistic analysis of these variables and how they relate to one another. METHODS: Undergraduate students (n = 1456) from four universities across the United States completed self-report measures of their quality-of-life and a variety of interpersonal factors identified as important predictors across the literature. We examined zero-order correlations between these measures and quality-of-life, estimated a path model to look at unique variance accounted for by each, and finally used network analysis to examine the network of direct and indirect associations among these variables and quality-of-life. RESULTS: Loneliness had the strongest association with quality-of-life across all analyses. When examining the unique association between quality-of-life and each interpersonal variable, six remained statistically significant: loneliness, social support, social connectedness, emotional intelligence, intimacy with one's romantic partner, and empathic concern. These results were supported by the network model, which found direct associations between quality-of-life and these six variables as well as indirect associations with all other interpersonal variables in the model. CONCLUSIONS: Results from this research suggest that interpersonal factors in general, and loneliness in particular, are strongly associated with quality-of-life. Future research is needed to establish the direction of these effects and examine for whom these findings are generalizable.

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.

The loss of a fellow service member: Complicated grief in post-9/11 service members and veterans with combat-related posttraumatic stress disorder.

Bereavement is a potent and highly prevalent stressor among service members and veterans. However, the psychological consequences of bereavement, including complicated grief (CG), have been minimally examined. Loss was assessed in 204 post-9/11, when service members and veterans with combat-related posttraumatic stress disorder (PTSD) took part in a multicenter treatment study. Those who reported the loss of an important person completed the inventory of complicated grief (ICG; n = 160). Over three quarters (79.41%) of the sample reported an important lifetime loss, with close to half (47.06%) reporting the loss of a fellow service member (FSM). The prevalence of CG was 24.75% overall, and nearly one third (31.25%) among the bereaved. CG was more prevalent among veterans who lost a fellow service member (FSM) (41.05%, n = 39) compared to those bereaved who did not (16.92%, n = 11; OR = 3.41, 95% CI: 1.59, 7.36). CG was associated with significantly greater PTSD severity, functional impairment, trauma-related guilt, and lifetime suicide attempts. Complicated grief was prevalent and associated with adverse psychosocial outcomes in veterans and service members with combat-related PTSD. Clinicians working with this population should inquire about bereavement, including loss of a FSM, and screen for CG. Additional research examining CG in this population is needed.

PTSD and Romantic Relationship Satisfaction: Cluster- and Symptom-Level Analyses.

Previous studies have demonstrated bidirectional associations between posttraumatric stress disorder (PTSD) and romantic relationship dissatisfaction. Most of these studies were focused at the level of the disorder, examining the association between relationship dissatisfaction and having a diagnosis of PTSD or the total of PTSD symptoms endorsed. This disorder-level approach is problematic for trauma theorists who posit symptom-level mechanisms for these effects. In the present study, we examined the prospective, bidirectional associations between PTSD symptom clusters (e.g., reexperiencing) and relationship satisfaction using the data from 101 previously studied individuals who had had a recent motor vehicle accident. We also conducted exploratory analyses examining the prospective, bidirectional associations between individual PTSD symptoms and relationship satisfaction. Participants had completed the PTSD Checklist-Civilian Version and the Relationship Assessment Scale at 4, 10, and 16 weeks after the MVA. We performed time-lagged mixed-effects regressions to examine the effect of lagged relationship satisfaction on PTSD clusters and symptoms, and vice versa. No cluster effects were significant after controlling for a false discovery rate. Relationship satisfaction predicted prospective decreases in reliving the trauma (d = 0.42), emotional numbness (d = 0.46), and irritability (d = 0.49). These findings were consistent with the position that relationship satisfaction affects PTSD through symptom-level mechanisms.

Training the removal of negative information from working memory: A preliminary investigation of a working memory bias modification task.

Rumination in depressed adults is associated with a bias toward retaining negative information in working memory. We developed a task designed to modify this cognitive bias by having subjects repeatedly practice removing negative words from working memory, thereby enabling them to retain positive and neutral words. To assess the efficacy of this task, we recruited 60 adults who reported elevated repetitive negative thought (RNT) and randomly assigned them to receive a single administration of either the working memory bias modification (WMBM) task or a control task. Subjects in the WMBM condition exhibited greater reduction in proactive interference for negative information than did those in the control condition. These results suggest that the WMBM task reduces biased retention of negative information in working memory and, thus, may be useful in investigating the possible causal role of this cognitive bias in RNT or depression.

THE STRUCTURED CLINICAL INTERVIEW FOR COMPLICATED GRIEF: RELIABILITY, VALIDITY, AND EXPLORATORY FACTOR ANALYSIS.

BACKGROUND: Complicated grief (CG) has been recently included in the DSM-5, under the term "persistent complex bereavement disorder," as a condition requiring further study. To our knowledge, no psychometric data on any structured clinical interview for CG (SCI-CG) is available to date. In this manuscript, we introduce the SCI-CG, a 31-item "SCID-like" clinician-administered instrument to assess the presence of CG symptoms. METHODS: Participants were 281 treatment-seeking adults with CG (77.9% [n = 219] women, mean age = 52.4, standard deviation [SD] = 17.8) who were assessed with the SCI-CG and measures of depression, posttraumatic stress, anxiety, functional impairment. RESULTS: The SCI-CG exhibited satisfactory internal consistency (α = .78), good test-retest reliability (interclass correlation [ICC] 0.68, 95% CI [0.60-0.75]), and excellent interrater reliability (ICC = 0.95, 95% CI [0.89-0.98]). Exploratory factor analyses revealed that a five-factor structure, explaining 50.3% of the total variance, was the best fit for the data. CONCLUSIONS: The clinician-rated SCI-CG demonstrates good internal consistency, reliability, and convergent validity in treatment-seeking individuals with CG and therefore can be a useful tool to assess CG. Although diagnostic criteria for CG have yet to be adequately validated, the SCI-CG may facilitate this process. The SCI-CG can now be used as a validated instrument in research and clinical practice.

Anxiety sensitivity in bereaved adults with and without complicated grief.

Complicated grief (CG) is a bereavement-specific syndrome chiefly characterized by symptoms of persistent separation distress. Physiological reactivity to reminders of the loss and repeated acute pangs or waves of severe anxiety and psychological pain are prominent features of CG. Fear of this grief-related physiological arousal may contribute to CG by increasing the distress associated with grief reactions and increasing the likelihood of maladaptive coping strategies and grief-related avoidance. Here, we examined anxiety sensitivity (AS; i.e., the fear of anxiety-related sensations) in two studies of bereaved adults with and without CG. In both studies, bereaved adults with CG exhibited elevated AS relative to those without CG. In study 2, AS was positively associated with CG symptom severity among those with CG. These findings are consistent with the possibility that AS contributes to the development or maintenance of CG symptoms.

Who is being reached for a telephone-delivered intervention for patients with uncontrolled hypertension?

BACKGROUND: Telephone-delivered interventions to provide health counseling for complex chronic medical conditions are convenient, acceptable, and cost-effective. However, little is known about which patients are reached, their characteristics, and who benefits most from telephone-delivered counseling. MATERIALS AND METHODS: This study examined whether baseline characteristics are predictive of being easily reached for a monthly, telephone-delivered behavioral intervention to improve treatment adherence in Veterans with uncontrolled hypertension. Participants were to complete a telephone session once a month for 6 months. RESULTS: Participants completed an average of 5.71 out of a possible 6 sessions. Participants who were unmarried, African American, unemployed, or younger or did not complete high school required significantly more call attempts per completed session. CONCLUSIONS: Overall, telephone-delivered counseling is a feasible approach to reaching hypertensive patients. Patients who are married, Hispanic, retired, or older or graduated college may be easier to reach and engage in telephone-delivered counseling. Reaching patients with other sociodemographic characteristics may require more resources or alternate methods.

Productive explanation: A framework for evaluating explanations in psychological science.

The explanation of psychological phenomena is a central aim of psychological science. However, the nature of explanation and the processes by which we evaluate whether a theory explains a phenomenon are often unclear. Consequently, it is often unknown whether a given psychological theory indeed explains a phenomenon. We address this shortcoming by proposing a productive account of explanation: a theory explains a phenomenon to some degree if and only if a formal model of the theory produces the statistical pattern representing the phenomenon. Using this account, we outline a workable methodology of explanation: (a) explicating a verbal theory into a formal model, (b) representing phenomena as statistical patterns in data, and (c) assessing whether the formal model produces these statistical patterns. In addition, we provide three major criteria for evaluating the goodness of an explanation (precision, robustness, and empirical relevance), and examine some cases of explanatory breakdowns. Finally, we situate our framework within existing theories of explanation from philosophy of science and discuss how our approach contributes to constructing and developing better psychological theories. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Periloss dissociation, symptom severity, and treatment response in complicated grief.

BACKGROUND: Complicated grief (CG) is a bereavement-specific syndrome characterized by traumatic and separation distress lasting over 6 months. Little is known about the role of dissociation experienced during or immediately after the loss of a loved one (i.e., periloss dissociation [PLD]) in CG. The present study aimed to examine the psychometric properties of the PLD-adapted Peritraumatic Dissociative Experiences Questionnaire and its association with symptom severity, treatment response, and drop-out rate. METHODS: PLD data collected as part of a randomized controlled trial of two loss-focused psychotherapy approaches for CG were examined. Treatment-seeking individuals with primary CG (n = 193) were assessed for PLD at the initial visit, 95 of whom were randomized and completed at least one treatment session. RESULTS: The PLD-adapted Peritraumatic Dissociative Experiences Questionnaire was found to be internally consistent (α = 0.91) with good convergent and divergent validity. After controlling for age, gender, time since loss, and current comorbid psychiatric diagnosis, self-reported PLD was associated with greater CG symptom severity (P < .01). However, contrary to our hypotheses, after controlling for age, baseline symptoms severity, psychiatric comorbidity, and treatment arm, PLD was predictive of better treatment response (P < .05) and lower study discontinuation (P < .01). CONCLUSIONS: PLD may be useful in identifying individuals at risk for CG and those who might respond to psychotherapy. Additional research should investigate the relationship of PLD with treatment outcome for different treatment approaches, and whether PLD prospectively predicts the development of CG.

On the Control of Psychological Networks.

The combination of network theory and network psychometric methods has opened up a variety of new ways to conceptualize and study psychological disorders. The idea of psychological disorders as dynamic systems has sparked interest in developing interventions based on results of network analytic tools. However, simply estimating a network model is not sufficient for determining which symptoms might be most effective to intervene upon, nor is it sufficient for determining the potential efficacy of any given intervention. In this paper, we attempt to remedy this gap by introducing fundamental concepts of control theory to both psychometricians and applied psychologists. We introduce two controllability statistics to the psychometric literature, average and modal controllability, to facilitate selecting the best set of intervention targets. Following this introduction, we show how intervention scientists can probe the effects of both theoretical and empirical interventions on networks derived from real data and demonstrate how simulations can account for intervention cost and the desire to reduce specific symptoms. Every step is based on rich clinical EMA data from a sample of subjects undergoing treatment for complicated grief, with a focus on the outcome suicidal ideation. All methods are implemented in an open-source R package netcontrol, and complete code for replicating the analyses in this manuscript are available online.