Addressing anhedonia to increase depression treatment engagement.

Anhedonia, or reward system dysfunction, is associated with poorer treatment outcomes among depressed individuals. The role of anhedonia in treatment engagement, however, has not yet been explored. We review research on components of reward functioning impaired in depression, including effort valuation, reward anticipation, initial responsiveness, reward learning, reward probability, and reward delay, highlighting potential barriers to treatment engagement associated with these components. We then propose interventions to improve treatment initiation and continuation by addressing deficits in each component of reward functioning, focusing on modifications of existing evidence-based interventions to meet the needs of individuals with heightened anhedonia. We describe potential settings for these interventions and times at which they can be delivered during the process of referring individuals to mental health treatment, conducting intakes or assessments, and providing treatment. Additionally, we note the advantages of using screening processes already in place in primary care, workplace, school, and online settings to identify individuals with heightened anhedonia who may benefit from these interventions. We conclude with suggestions for future research on the impact of anhedonia on treatment engagement and the efficacy of interventions to address it. PRACTITIONER POINTS: Many depressed individuals who might benefit from treatment do not initiate it or discontinue early. One barrier to treatment engagement may be anhedonia, a core symptom of depression characterized by loss of interest or pleasure in usual activities. We describe brief interventions to improve treatment engagement in individuals with anhedonia that can be implemented during the referral process or early in treatment. We argue that interventions aiming to improve treatment engagement in depressed individuals that target anhedonia may be particularly effective.

Emotion Dysregulation Prospectively Predicts Posttraumatic Stress Disorder Symptom Severity 3 Months After Trauma Exposure.

Despite growing evidence in support of emotion dysregulation as a risk factor for the development of posttraumatic stress disorder (PTSD) following trauma exposure, few studies have examined temporal relations between emotion dysregulation and the onset and/or worsening of PTSD symptoms over time. The aim of the present study was to extend research on temporal associations between emotion dysregulation and PTSD in a sample of individuals recruited from hospital emergency departments soon after a traumatic event. Adult participants (N = 85; 62.4% female) completed self-report measures of emotion dysregulation and PTSD symptoms within 2 weeks of experiencing a traumatic event. Symptoms of PTSD were assessed approximately 3 months posttrauma. The results of a hierarchical linear regression analysis demonstrated that the inclusion of emotion dysregulation accounted for a significant amount of unique variance, ß = .23, ΔR2 = .04, p = .042, in 3-month PTSD symptom severity over and above other risk factors and baseline PTSD symptoms. No specific facet of emotion dysregulation emerged as a significant predictor of 3-month PTSD symptoms when all facets were included on the same step of the model, ßs = -.04-.33, ps = .133-.954. These results demonstrate that posttraumatic emotion dysregulation may predict PTSD symptoms 3 months after trauma exposure. These findings are consistent with a growing body of literature that speaks to the relevance of emotional processes to the onset and maintenance of PTSD following exposure to a traumatic event.

Examining Relationships between Gender, Opioid Dependence, and Distress Tolerance among Patients in Substance Use Disorder Treatment.

Background: Opioid abuse/dependence is associated with multiple negative outcomes relative to other forms of substance abuse/dependence, including relapse. Research identifying modifiable characteristics associated with opioid dependence and associated negative outcomes may inform the development of targeted interventions for this high-risk population. One factor warranting investigation is low distress tolerance (DT). Purpose/Objectives: In a sample of patients in substance use disorder (SUD) treatment, the present study examined DT levels among patients with current opioid dependence versus no history of opioid dependence, as well as the moderating role of gender. We predicted that patients with opioid dependence would exhibit lower DT than those without a history of opioid dependence, and that women with opioid dependence would exhibit lower levels of DT than men with opioid dependence. Methods: A sample of 203 patients in residential SUD treatment were administered a series of diagnostic interviews and a behavioral measure of DT. Results: DT did not differ significantly as a function of opioid dependence. However, there was a significant opioid dependence by gender interaction, such that men with current opioid dependence exhibited significantly lower levels of DT than women with opioid dependence and men without a history of opioid dependence. Conclusions/Importance: Findings highlight a modifiable characteristic associated with opioid dependence among men that may be targeted in interventions.

Measuring the active elements of cognitive-behavioral therapies.

Understanding how and for whom cognitive-behavioral therapies work is central to the development and improvement of mental health interventions. Suboptimal quantification of the active elements of cognitive-behavioral therapies has hampered progress in elucidating mechanisms of change. To advance process research on cognitive-behavioral therapies, we describe a theoretical measurement framework that focuses on the delivery, receipt, and application of the active elements of these interventions. We then provide recommendations for measuring the active elements of cognitive-behavioral therapies aligned with this framework. Finally, to support measurement harmonization and improve study comparability, we propose the development of a publicly available repository of assessment tools: the Active Elements of Cognitive-Behavioral Therapies Measurement Kit.

Implicit Associations of Nonsuicidal Self-Injury with Relief in Posttraumatic Stress and Depressive Disorders.

OBJECTIVE: Although once considered a defining feature of borderline personality disorder, research has found high rates of NSSI among individuals with other psychiatric disorders, particularly posttraumatic stress disorder (PTSD) and depressive disorders. A recent study from our research team found that lifetime PTSD and depressive disorders were associated with unique self-reported NSSI motives. Given well-established limitations of assessing motives via self-report measures, the present study sought to extend this line of research by using a novel laboratory measure of the implicit NSSI-relief association to examine NSSI emotional relief motives. METHOD: A subset of participants from our previous study (N = 109) completed diagnostic interviews and the laboratory-based DSH-Relief Implicit Association Test (IAT). RESULTS: Findings indicated that individuals with lifetime PTSD evidenced stronger NSSI-relief associations than those without PTSD. Further, this main effect was qualified by a PTSD by depressive disorder interaction, such that stronger NSSI-relief associations were found among individuals with lifetime PTSD but no lifetime depressive disorder than among individuals without a history of either PTSD or a depressive disorder. CONCLUSIONS: Results highlight the importance of investigating NSSI motives associated with different symptom profiles using a multi-method approach.

A machine learning approach to modeling PTSD and difficulties in emotion regulation.

Despite evidence for the association between emotion regulation difficulties and posttraumatic stress disorder (PTSD), less is known about the specific emotion regulation abilities that are most relevant to PTSD severity. This study examined both item-level and subscale-level models of difficulties in emotion regulation in relation to PTSD severity using supervised machine learning in a sample of U.S. adults (N=570). Participants were recruited via Amazon's Mechanical Turk (MTurk) and completed self-report measures of emotion regulation difficulties and PTSD severity. We used five different machine learning algorithms separately to train each statistical model. Using ridge and elastic net regression results in the testing sample, emotion regulation predictor variables accounted for approximately 28% and 27% of the variance in PTSD severity in the item- and subscale-level models, respectively. In the item-level model, four predictor variables had notable relative importance values for PTSD severity. These items captured secondary emotional responding, experiencing emotions as out-of-control, difficulties modulating emotional arousal, and low emotional granularity. In the subscale-level model, lack of access to effective emotion regulation strategies, lack of emotional clarity, and emotional nonacceptance subscales had the highest relative importance to PTSD severity. Results from analyses modeling a probable diagnosis of PTSD based on DERS items and subscales are presented in supplemental findings. Findings have implications for developing more efficient, targeted emotion regulation interventions for PTSD.

New directions in behavioral activation: Using findings from basic science and translational neuroscience to inform the exploration of potential mechanisms of change.

Interest in behavioral activation treatments for depression has increased over the past two decades. Behavioral activation treatments have been shown to be effective in treating depression across a variety of populations and settings. However, little is known about the mechanisms of change that may bring about symptom improvement in behavioral activation treatments. Recent developments in the theoretical and empirical literature on behavioral activation treatments have coincided with advances in basic science and translational neuroscience regarding the mechanisms underlying individual differences in responsiveness to reward. Attenuated reward responsiveness has been associated with depression and related clinical outcomes at the self-report, behavioral, and neural levels of analysis. Given that behavioral activation treatments are focused on increasing individuals' contact and engagement with sustainable sources of reward in their environment, it is plausible that behavioral activation treatments bring about improvements in depression symptoms by targeting (low) reward responsiveness directly. This paper integrates findings from the clinical research literature on behavioral activation treatments with insights drawn from basic science and translational neuroscience in order to propose hypotheses about potential mechanisms of change in behavioral activation. Conceptual issues and recommendations for future research on behavioral activation treatments are discussed.

The Positive Valence Systems Scale: Development and Validation.

We present the Positive Valence Systems Scale (PVSS), a measure of the National Institute of Mental Health's Research Domain Criteria Positive Valence Systems domain. An initial long form of the scale (45 items) providing a broad assessment of the domain was distilled into a short form (21 items) measuring responses to a wide range of rewards (Food, Physical Touch, Outdoors, Positive Feedback, Social Interactions, Hobbies, and Goals). Across three diverse samples, the PVSS-21 demonstrated strong internal consistency, retest reliability, and factorial validity. It was more strongly related to reward than punishment sensitivity, positive than negative affect, and depression than anxiety. PVSS-21 scores discriminated depressed from nondepressed individuals and predicted anhedonia severity even when controlling for depression status. Hobbies emerged as the strongest predictor of clinical outcomes and the best differentiator of depressed and nondepressed individuals. Results highlight the potential of the PVSS for advancing understanding of reward-related abnormalities in depression and other disorders.

The influence of posttraumatic stress disorder and recurrent major depression on risk-taking propensity following trauma script exposure among patients with substance use disorders.

Although evidence suggests that risk-taking among individuals with co-occurring posttraumatic stress disorder (PTSD) and substance use disorder (SUD) may be precipitated by trauma-related emotional distress, studies have yet to examine moderators of this effect. One moderator worth investigating is recurrent major depressive disorder (MDD), given its influence on emotional responding and subsequent behavior. This study examined the moderating role of recurrent MDD in the relation of PTSD to risk-taking propensity following neutral and trauma scripts among SUD patients. Participants were 193 patients with and without current PTSD and/or recurrent MDD in residential SUD treatment. Risk-taking propensity, as assessed through the Balloon Analogue Risk Task (BART), was evaluated following a neutral script and a personalized trauma script. A significant script by PTSD by recurrent MDD interaction was found. Participants with PTSD and recurrent MDD exhibited significantly lower risk-taking following the trauma script relative to participants with PTSD but no recurrent MDD. Moreover, participants with PTSD and recurrent MDD exhibited a significantly smaller increase in risk-taking following the trauma script (relative to the neutral script) than participants with PTSD but no recurrent MDD. Participants with PTSD and recurrent MDD did not differ significantly from participants without PTSD. Results provide support for the context-dependent nature of risk-taking among PTSD-SUD patients without (vs. with) recurrent MDD. Results also highlight the importance of considering the presence of recurrent MDD in research and/or clinical work with SUD patients with PTSD.

Emotional avoidance and social support interact to predict depression symptom severity one year after traumatic exposure.

Individuals exposed to a traumatic event commonly develop symptoms of depression, a psychiatric disorder associated with a number of negative clinical and public health consequences. Both intrapersonal and interpersonal risk factors have been associated with heightened risk for depression following traumatic event exposure; however, less is known about how these risk factors may interact to predict trauma-exposed individuals' risk of subsequently developing depression symptoms. This study examined the interactive influence of emotional avoidance (an intrapersonal risk factor) and perceived social support (an interpersonal risk factor) on the development of depression symptoms over a one-year period among N = 46 individuals recruited shortly after visiting a hospital emergency department for treatment following exposure to a traumatic event. Results revealed a significant main effect of emotional avoidance on 12-month depression symptoms. The main effect was qualified by an emotional avoidance by perceived social support interaction: the relation of emotional avoidance to 12-month depression symptoms was positive and significant only for individuals with low levels of perceived social support. Results highlight the need to consider both intrapersonal and interpersonal risk factors, as well as their interaction, when predicting which individuals may be most at risk to develop depression following traumatic event exposure.

Methods Matter: Nonsuicidal Self-Injury in the Form of Cutting is Uniquely Associated with Suicide Attempt Severity in Patients with Substance Use Disorders.

OBJECTIVE: Despite the robust relation between nonsuicidal self-injury (NSSI) and suicidal behaviors, there is considerable heterogeneity in NSSI characteristics that may have implications for the strength of the NSSI-suicide attempt relation. Past research highlights the relevance of both more severe NSSI methods and NSSI in the form of cutting in particular to suicide attempts. To further explore the relations of specific NSSI methods to suicide attempts, this study examined relations between different NSSI methods (i.e., those involving cutting, burning, blunt force, or resulting in minor tissue damage) and both overall suicide attempts and two indicators of suicide attempt severity (attempts requiring medical attention and nonambivalent attempts) in 203 substance-dependent patients in residential treatment. METHOD: Participants were administered questionnaires and semistructured interviews assessing the variables of interest. RESULTS: Cutting was the only NSSI method to demonstrate significant relations with overall suicide attempts, nonambivalent suicide attempts, and suicide attempts requiring medical attention. Results remained when considering relevant covariates. CONCLUSION: Results highlight an important link between NSSI methods involving cutting and suicide attempts among patients with substance use disorders. Findings also highlight the importance of more fine-grained characterizations of NSSI subgroups.

An investigation of the effect of trauma script exposure on risk-taking among patients with substance use disorders and posttraumatic stress disorder.

Studies show that patients with substance use disorders (SUD) and posttraumatic stress disorder (PTSD) are at high risk for engaging in risky behaviors. However, these studies do not speak to the context in which these behaviors are more likely to occur. This study examined whether SUD patients with current PTSD, compared to those without a history of PTSD, are more likely to exhibit risk-taking on a laboratory-based risk-taking task, the Iowa Gambling Task (IGT), following exposure to a personalized trauma script versus a neutral script. The sample consisted of 122 trauma-exposed SUD patients with and without PTSD. Participants were administered a series of diagnostic interviews and personalized trauma scripts were created. On separate days, participants were exposed to a neutral or trauma script, followed by the IGT. Contrary to expectations, PTSD-SUD patients exhibited significantly greater risk-taking after the neutral (vs. trauma) script than those without PTSD. Moreover, whereas SUD patients without PTSD evidenced stability in IGT performance across scripts, those with PTSD exhibited significantly lower risk-taking on the IGT following the trauma (vs. neutral) script. Results provide support for the context dependent nature of risk-taking in PTSD-SUD patients and suggest they may become more risk averse in the context of trauma-related distress.

The Role of Opioid Use in Distinguishing between Suicidal Ideation and Attempts.

OBJECTIVE: Opioid use disorders are associated with heightened suicidal ideation, suicide attempts, and suicide death. This study aimed to examine the extent to which opioid differentiates between those with suicide attempts from those with lifetime suicidal ideation but no history of attempt. METHODS: Participants were drawn from the US National Guard and a residential substance use treatment facility. Multinomial logistic regression was utilized to determine the extent to which a lifetime history of nonmedical opioid use differentiated between (1) individuals with no lifetime history of suicidal ideation or attempt, (2) individuals with a history of suicidal ideation but no attempt, and (3) individuals with a history of at least one suicide attempt. RESULTS: History of opioid use among National Guard personnel and opioid use disorders among substance-dependent patients were associated with an increased likelihood of having at least one suicide attempt relative to both a history of suicidal ideation but no attempts and no history of ideation or attempts. Findings held when accounting for lifetime nonmedical use of other substances and the presence of other lifetime substance use disorders. CONCLUSIONS: Results highlight the importance of assessing for suicide risk among opioid users.