It's complicated: The relation between cognitive change procedures, cognitive change, and symptom change in cognitive therapy for depression

State of the Science in Behavior Therapy: Taking Stock and Looking Forward

The scope and burdens of mental health challenges in today's world are staggering. Among the available psychological treatment approaches, cognitive and behavioral therapies, and their combinations, have garnered the strongest evidence base. That said, progress has not always been linear and most of the work is still ahead of us. Against this backdrop, Behavior Therapy has launched its State of the Science series-an exciting new journal feature offering a curated set of authoritative reviews of research in major areas of relevance to applied cognitive-behavioral science, written by distinguished scientists in each area and peer-reviewed. The vision for the Behavior Therapy State of the Science series is to launch with an initial set of articles that make up this special journal issue, with continued publication of additional State of the Science articles in future journal issues. The current article launches the State of the Science series, providing a brief summary of progress in cognitive and behavioral practice and related areas, as well as various missteps and harmful legacies that remind us that the state of the science for research focused on mental health and the alleviation of human suffering is always in flux and evolving. The 16 inaugural reviews in this special issue are then introduced one by one. Collectively, these State of the Science reviews take stock of what has been learned across key areas in the field, highlight critical knowledge gaps in need of research, and provide expert guidance for improving the effectiveness and reach of care, particularly for marginalized and underserved populations.

Childhood-related PTSD: the role of cognitions in EMDR and imagery rescripting

Background: The relationship between trauma-related negative cognitions and post-traumatic stress disorder (PTSD) symptoms has been studied frequently. Several studies found a mediating effect of trauma-related negative cognitions on symptom reduction in studies on different psychotherapeutic treatments, however, this relationship has never been studied in imagery rescripting (ImRs) or eye movement desensitization and reprocessing (EMDR).Objective: To analyse the role of trauma-related negative cognitions in the treatment of PTSD due to childhood trauma with EMDR and ImRs.Method: N = 155 patients with PTSD due to childhood trauma aged between 18 and 65 (M = 38.54) participated in a randomized clinical trial and were treated with either EMDR or ImRs in Australia, Germany, and the Netherlands between October 2014 and June 2019. We analysed the relationship between PTSD symptoms (Clinician-administered PTSD Scale for DSM-5, CAPS-5 and Impact of Event Scale revised; IES-R, completed twice for index trauma and for all other traumas) and trauma-related negative cognitions (Post-Traumatic Cognitions Inventory, PTCI) using Granger Causality analyses with linear mixed models on person-centered variables. Assessments were conducted pre-treatment, post-treatment (12 sessions in 6 weeks), eight weeks post-treatment, and one year after the pre-treatment assessment.Results: Changes in negative cognitions (PTCI) preceded changes in PTSD symptoms (unidirectional) as measured by the CAPS and the IES-R for index trauma. For the IES-R related to all other traumas, a unidirectional relationship was found in which changes in PTSD symptoms preceded changes in negative cognitions. No moderating effect of treatment was found. On the level of PTCI subscales only changes in cognitions about oneself preceeded changes in PTSD symptoms.Conclusions: The results support the idea of a general role of trauma-related negative cognitions in the treatment of PTSD. The analyses should be replicated with a higher frequency of assessments.

Embodied cognitive restructuring: The impact of posture and movement on changing dysfunctional attitudes

BACKGROUND AND OBJECTIVES

Previous theoretical and empirical work has pointed to the important role of the body in emotion generation and emotion regulation. In the present study, we wanted to investigate if the performance of certain body postures and movement could facilitate cognitive restructuring of dysfunctional cognitive attitudes more effectively than traditional, verbal-only methods.

METHODS

In total, 130 participants were randomized to one of two groups. One group was subjected to cognitive restructuring (i.e., restructure only group; CR-only), verbally exploring a dysfunctional attitude from a curious, strong, and courageous perspective. The other group received the same verbal instructions but in addition to this, was asked to perform different bodily exercises (i.e., motor-enhanced restructuring group; M-CR) supposed to enhance experience of the different perspectives from which cognitive restructuring was employed.

RESULTS

Results confirmed the primary hypothesis, showing that the M-CR-group showed a larger decline in belief in dysfunctional attitudes compared with the CR-only group (F = 4.2, p = 0.041, d = 0.25). No differences on secondary outcomes were observed between the two groups.

LIMITATIONS

Future research should explore the effects of motor-enhanced CR both more long-term (e.g., durability over weeks) and in clinical samples (e.g., anxiety and depression).

CONCLUSION

Should the findings be replicated in clinical samples, it is encouraging that simple bodily exercises can enhance the effect of one of the most central skills of cognitive therapy.

Dynamic processes in behavioral activation therapy for anhedonic adolescents: Modeling common and patient-specific relations

OBJECTIVE

Behavioral activation (BA) is a brief intervention for depression encouraging gradual and systematic re-engagement with rewarding activities and behaviors. Given this treatment focus, BA may be particularly beneficial for adolescents with prominent anhedonia, a predictor of poor treatment response and common residual symptom. We applied group iterative multiple model estimation (GIMME) to ecological momentary assessment (EMA) treatment data to investigate common and person-specific processes during BA for anhedonic adolescents.

METHOD

Thirty-nine adolescents (Mage = 15.7 years old, 67% female, 81% White) with elevated anhedonia (Snaith-Hamilton Pleasure Scale) were enrolled in a 12-week BA trial, with weekly anhedonia assessments. EMA surveys were triggered every other week (2-3 surveys per day) throughout treatment assessing current positive affect (PA) and negative affect (NA), engagement in pleasurable activities and social interactions, anticipatory pleasure, rumination, and recent pleasurable and stressful experiences.

RESULTS

A multilevel model revealed significant decreases in anhedonia, t(25.5) = -4.76, p < .001, over the 12-week trial. GIMME results indicated substantial heterogeneity in variable networks across patients. PA was the variable with the greatest number (22% of all paths vs. 11% for NA) of predictive paths to other symptoms (i.e., highest out-degree). Higher PA (but not NA) out-degree was associated with greater anhedonia improvement, t(25.8) = -2.22, p = .035.

CONCLUSIONS

Results revealed substantial heterogeneity in variable relations across patients, which may obscure the search for common processes of change in BA. PA may be a particularly important treatment target for anhedonic adolescents in BA. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Clinical Judgments of Response Profiles: Do They Tell Us What Matters for Whom?

DeRubeis and colleagues (2014a) proposed that psychotherapy research has been limited by underappreciated variability in how patients respond to psychotherapy. They proposed that the relationship between the quality of therapy and outcome varies according to patient response profiles. In a study of cognitive-behavioral therapy (CBT) for depression, we tested clinician ratings of this construct as a moderator of the relationship between therapist adherence to cognitive or behavioral methods in predicting symptom change. Patients (N = 125) participated in CBT for depression. Assessors rated response profiles following the intake and therapists rated them after the first session. We collected data on adherence at the first five sessions and symptoms at the first six sessions. Therapist ratings following the first session, but not assessor ratings at intake, moderated the relationship between each form of adherence and symptom change. Patients given lower ratings (identifying them as spontaneous remitting or easy patients) had a stronger relationship between adherence and greater symptom change, with this relationship reversed such that adherence was related to less robust symptom change for those with the highest ratings (intractable or challenging patients). Our findings suggest promise for clinical evaluation of response profiles. We encourage future research evaluating refinements to such measures.

Changes in guilt cognitions mediate the effect of trauma-informed guilt reduction therapy on PTSD and depression outcomes

OBJECTIVE

Trauma-informed guilt reduction therapy (TrIGR), a six-session cognitive behavioral therapy targeting trauma-related guilt and distress, reduces guilt and symptoms of posttraumatic stress disorder (PTSD) and depression, yet little is known regarding how and why TrIGR may be effective.

METHOD

This study examined treatment-related changes in avoidant coping and trauma-related guilt cognitions as possible mediators of treatment effects on PTSD and depression outcomes at 3- and 6-month follow-up. Data were from a randomized controlled trial for treatment of trauma-related guilt comparing TrIGR and supportive care therapy among 145 post-9/11 US veterans (Mage = 39.2 [8.1], 93.8% male).

RESULTS

At pretreatment, most (86%) met PTSD criteria. Intent to treat analyses using parallel mediation models indicated changes in guilt cognitions, but not avoidant coping, mediated the effect of TrIGR on reducing PTSD severity at 3-month (a × b = -0.15, p < 0.01, 95% CI: [-0.24 to -0.06], p = 0.001) and 6-month (a × b = -0.17, 95% CI: [-0.26 to -0.07], p = 0.001) follow-up. Similarly, changes in guilt cognitions, but not avoidant coping, mediated the effect of TrIGR on reducing depression severity at 3-month (a × b = -0.10, 95% CI: [-0.18 to -0.02], p = 0.02) and 6-month (a × b = -0.11, 95% CI: [-0.20 to -0.03], p = 0.01) follow-up.

CONCLUSIONS

Compared to guilt cognitions, changes in avoidant coping were less integral to downstream PTSD and depression symptom reduction. Guilt cognition change may be a salient active ingredient of PTSD and depression treatment for those with trauma-related guilt and a key therapy element to which providers should be attuned.

Exploring mechanisms of change in the metacognitive training for depression

The Metacognitive Training for Depression (D-MCT) is a highly structured group therapy that has been shown to be effective in reducing depressive symptoms. First evidence suggests that need for control represents a mechanism of change. However, more research is needed to evaluate the mode of action of each module and identify predictors of treatment response. Two sequential studies (one naturalistic pilot study [study I, N = 45] and one randomized controlled trial [study II, N = 32]) were conducted to evaluate the session-specific effects and predictors of D-MCT in patients with depression. The D-MCT was conducted over eight weeks, and patients answered a questionnaire on dysfunctional beliefs (e.g., negative filter) and depressive symptoms (e.g., lack of energy, self-esteem) before and after each session. Linear mixed-effects models showed that several dysfunctional beliefs and symptoms improved over the course of the treatment; three modules were able to evoke within-session effects, but no between-session effects were found. The improvement in lack of energy in one module was identified as a relevant predictor in study I via lasso regression but was not replicated in study II. Exploratory analyses revealed further predictors that warrant replication in future studies. The identified predictors were inconclusive when the two studies were compared, which may be explained by the different instruments administered. Even so, the results may be used to revise questionnaires and improve the intervention.

Skill Use Mediates the Within-Person Effect of the Alliance on Session-to-Session Changes in Anxiety and Depression in the Unified Protocol

Objective

Both the therapeutic alliance and the specific skills taught in treatment are thought to contribute to change in cognitive-behavior therapy (CBT), but it is unclear if or how these processes influence each other and outcomes in treatment. We tested the hypothesis that the degree to which patients used CBT skills would mediate the relation between the alliance and session-to-session changes in anxiety and depression.

Method

Adult participants (N = 70; Mage = 33.74, 67% female, 70% White) with emotional disorders were randomized to receive 6 or 12 sessions of the Unified Protocol. Before each session, participants reported anxiety and depression severity and past-week skillfulness. After each session, participants rated the strength of the alliance. We tested whether greater within-person skillfulness mediated the relation between within-person alliance strength and session-to-session changes in anxiety and depression.

Results

Skillfulness significantly mediated the effect of the alliance on session-to-session changes in anxiety, ab = -.02, p = .04, and depression, ab = -.02, p = .02, such that a stronger alliance predicted greater next-session skillfulness, which predicted session-to-session decreases in anxiety and depression. When alliance subscales were examined separately, the strongest effect was observed for agreement on therapy tasks.

Conclusions

Improvements in the alliance may facilitate skill use and indirectly predict reductions in anxiety and depression through skill use in CBT. We encourage research on how to enhance both the alliance and skillfulness in CBT.

Efficacy and moderators of metacognitive training for depression in older adults (MCT-Silver): A randomized controlled trial

BACKGROUND

Up to 79 % of older adults with depression do not receive treatments commensurate with guideline recommendations. Metacognitive Training-Silver (MCT-Silver) is a low-intensity group training, which aims to reduce depressive symptoms by targeting (meta)cognitive beliefs.

METHODS

A randomized controlled trial comparing MCT-Silver (n = 41) to cognitive remediation (n = 39) was conducted with older adults with major depressive disorder and/or dysthymia. Clinician-rated depression (Hamilton Depression Rating Scale [HDRS, primary outcome]), self-reported depression (Beck Depression Inventory-II [BDI-II]), negative cognitive beliefs, positive metacognitive beliefs, rumination, health status, quality of life, and neurocognitive functioning were assessed at baseline, eight weeks (post) and three months (follow-up).

RESULTS

Both groups demonstrated moderate to large reductions in depression. No superior effects of MCT-Silver on clinician-rated depression (HDRS) were detected. MCT-Silver led to greater reductions in self-reported depression and rumination at post- and follow-up. Despite this, scores at post- and follow-up assessments were similar for both groups. MCT-Silver's effect on depressive symptoms was moderated by baseline rumination, positive metacognitive beliefs and previous treatment experience. MCT-Silver was evaluated as superior according to patient appraisals.

LIMITATIONS

Conclusions are limited by divergent findings on measures of depression and that the study was conducted during the COVID-19 pandemic.

CONCLUSIONS

Whereas no superior effect of MCT-Silver was found for the primary outcome, there was a significant effect of MCT-Silver for self-reported depression and rumination. Patients endorsing rumination and positive metacognitive beliefs as well as those without previous psychological treatment may benefit more from MCT-Silver.

Availability of Internet-Based Cognitive-Behavioral Therapies for Depression: A Systematic Review

We examined the availability and components of internet-based cognitive-behavioral therapies (iCBTs) for depression tested in randomized-controlled trials (RCTs). The objectives of this literature review were to determine the extent to which research-validated iCBTs were available to the public, as well as to determine their therapeutic content. A literature review of RCTs for iCBTs was conducted on July 30, 2021. For each iCBT, interventions were rated by content and compared to commercially available smartphone apps. Our search yielded 80 studies using 41 unique iCBTs. Of these, only 6 (15%) were completely available to the public, more than half were not publicly available (46%), and the remaining 39% were available to the public with some restrictions (e.g., those based on the user's geographical location). When comparing iCBTs evaluated in RCTs to commercially available smartphone apps, we found that iCBTs were more likely to contain psychoeducation, cognitive restructuring, behavioral activation, problem solving, and interpersonal communication components. iCBTs from RCTs contain evidence-based content but few are available to the public. Extending beyond efficacy, attention should be paid to the dissemination of iCBTs.

Revealing subgroup-specific mechanisms of change via moderated mediation: A meditation intervention example

OBJECTIVE

Effective psychosocial interventions exist for numerous mental health conditions. However, despite decades of research, limited progress has been made in clarifying the mechanisms that account for their beneficial effects. We know that many treatments work, but we know relatively little about why they work. Mechanisms of change may be obscured due to prior research collapsing across heterogeneous subgroups of patients with differing underlying mechanisms of response. Studies identifying baseline individual characteristics that predict differential response (i.e., moderation) may inform research on why (i.e., mediation) a particular subgroup has better outcomes to an intervention via tests of moderated mediation.

METHOD

In a recent randomized controlled trial comparing a 4-week meditation app with a control condition in school system employees (N = 662), we previously developed a "Personalized Advantage Index" (PAI) using baseline characteristics, which identified a subgroup of individuals who derived relatively greater benefit from meditation training. Here, we tested whether the effect of mindfulness acquisition in mediating group differences in outcome was moderated by PAI scores.

RESULTS

A significant index of moderated mediation (IMM = 1.22, 95% CI [0.30, 2.33]) revealed that the effect of mindfulness acquisition in mediating group differences in outcome was only significant among those individuals with PAI scores predicting relatively greater benefit from the meditation app.

CONCLUSIONS

Subgroups of individuals may differ meaningfully in the mechanisms that mediate their response to an intervention. Considering subgroup-specific mediators may accelerate progress on clarifying mechanisms of change underlying psychosocial interventions and may help inform which specific interventions are most beneficial for whom. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Effect of modernized collaborative care for depression on brain-derived neurotrophic factor (BDNF) and depressive symptom clusters: Data from the eIMPACT trial

Brain-derived neurotrophic factor (BDNF) levels are lower in people with depression and are normalized following pharmacological treatment. However, it is unknown if psychological treatments for depression improve BDNF and if change in BDNF is a mediator of intervention effects on depressive symptoms. Therefore, using data from the eIMPACT trial, we sought to determine the effect of modernized collaborative care for depression on 12-month changes in BDNF and cognitive/affective and somatic depressive symptom clusters and to examine whether BDNF changes mediate intervention effects on depressive symptoms. 216 primary care patients with depression from a safety net healthcare system were randomized to 12 months of the eIMPACT intervention (internet cognitive-behavioral therapy [CBT], telephonic CBT, and select antidepressant medications) or usual primary care. Plasma BDNF was measured with commercially available kits, and depressive symptom clusters were assessed by the Patient Health Questionnaire-9. The intervention did not influence BDNF but did improve both the cognitive/affective and somatic clusters over 12 months. Changes in BDNF did not mediate the intervention effect on either cluster. Our findings suggest that modernized collaborative care is an effective treatment for both the cognitive/affective and somatic symptoms of depression and that the mechanism of action is not improvements in BDNF. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02458690.

On the importance of identifying mechanisms and active ingredients of psychological treatments

This commentary addresses the thought-provoking article by Lorenzo-Luaces (in press). We review areas of both agreement and disagreement with the author's points, noting that readers should not infer that research into active ingredients and mechanisms is pointless. We conclude with a call for more research into the mechanisms of therapeutic change and the active ingredients of therapeutic interventions, with the aim of disseminating treatments that are both effective and efficient.

How effective psychological treatments work: mechanisms of change in cognitive behavioural therapy and beyond

BACKGROUND

Cognitive behavioural therapy (CBT) has, in the space of 50 years, evolved into the dominant modality in psychological therapy. Mechanism/s of change remain unclear, however.

AIMS

In this paper, we will describe key features of CBT that account for the pace of past and future developments, with a view to identifying candidates for mechanism of change. We also highlight the distinction between 'common elements' and 'mechanisms of change' in psychological treatment.

METHOD

The history of how behaviour therapy and cognitive therapy developed are considered, culminating in the wide range of strategies which now fall under the heading of cognitive behavioural therapy (CBT). We consider how the empirical grounding of CBT has led to the massive proliferation of effective treatment strategies. We then consider the relationship between 'common factors' and 'mechanisms of change', and propose that a particular type of psychological flexibility is the mechanism of change not only in CBT but also effective psychological therapies in general.

CONCLUSION

Good psychological therapies should ultimately involve supporting people experiencing psychological difficulties to understand where and how they have become 'stuck' in terms of factors involved in maintaining distress and impairment. A shared understanding is then evaluated and tested with the intention of empowering and enabling them to respond more flexibly and thereby reclaim their life.

An Exploration of Intervention Augmentation in a Single Case

Recent work has highlighted that process-outcome relationships are likely to vary depending on the client, yet much work remains to be done in the area of tailoring interventions to a given client. This naturalistic single-case analysis provides an example of augmenting a treatment protocol with "off protocol" relaxation methods, based on routinely collected outcome information to guide shared decision making. Intensive case study analyses were applied to one client with principal generalized anxiety disorder and comorbid major depressive disorder receiving transdiagnostic cognitive-behavioral therapy. The client completed two routine anxiety and depression symptom and functioning scales prior to each session of naturalistic treatment. Time series analyses were applied to the two symptom measures. Among the results, (a) significant linear decreases in anxiety and depression from baseline to posttreatment were observed; and (b) the introduction of relaxation methods had a significant impact on the course of anxiety symptom change. In conclusion, routine outcome assessment can be used to inform intervention augmentation with individual clients. Furthermore, regular assessment is needed to determine if a client may benefit from an alternative set of specific intervention strategies.

Cognitive reappraisal in mHealth interventions to foster mental health in adults: a systematic review and meta-analysis

Background

An increasing number of mHealth interventions aim to contribute to mental healthcare of which interventions that foster cognitive reappraisal may be particularly effective.

Objectives

To evaluate the efficacy of mHealth interventions enhancing cognitive reappraisal to improve mental health in adult populations.

Methods

The literature search (four databases) yielded 30 eligible randomized controlled trials (comprising 3,904 participants). We performed a multi-level meta-analysis to examine differences between intervention and comparator conditions at post-intervention assessment. Moderator analyses were conducted for potential moderator variables (e.g., type of comparators).

Results

Most interventions were CBT-based with other training components in addition to cognitive reappraisal. We found preliminary evidence for a small to medium effect favouring mHealth interventions to enhance cognitive reappraisal over comparators, M(SMD) = 0.34, p = .002. When analysing single symptoms, there was evidence for a small to medium effect of mHealth interventions on anxiety and depressive symptoms, but not for psychological distress and well-being. All analyses showed substantial heterogeneity. Moderator analyses revealed evidence for more favourable effects in studies with passive comparators. There was an overall high risk of bias in most of the studies.

Conclusions

We found preliminary evidence for a small to medium effect of mHealth interventions including a cognitive reappraisal component to improve mental health. However, most of the interventions were complex (i.e., reappraisal was provided alongside other components), which prevents us from examining reappraisal-specific effects beyond general mental health promotion in mHealth. Dismantling studies examining the effects of single intervention components are warranted to corroborate these promising results.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=142149, identifier [CRD42019142149].

Cognitive restructuring and psychotherapy outcome: A meta-analytic review

Cognitive restructuring (CR) is one method that is hypothesized to play a role in the process of change across many psychotherapies and for a variety of clinical presentations. In this article, we define and illustrate CR. We then present a meta-analysis of four studies (including a total of 353 clients) examining the effect of CR measured within session on psychotherapy outcomes. The overall CR-outcome association was r = .35 (95% CI [.24, .44]; equivalent of d = 0.85). While more research on CR and immediate psychotherapy outcomes is needed, there is accumulating encouraging evidence regarding the therapeutic effect of CR. We conclude by advancing implications for clinical training and therapeutic practices. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Identifying active ingredients in cognitive-behavioral therapies: What if we didn't?

Identifying active ingredients of psychological interventions is a major goal of psychotherapy researchers that is often justified by the promise that it will lead to improved patient outcomes. Much of this "active ingredients" research is conducted within randomized controlled trials (RCTs) with patient populations, putting it in Phase T2 of the clinical-translational spectrum. I argue that RCTs in patient populations are very "messy laboratories" in which to conduct active ingredient work and that T0 and T1 research provide more controlled contexts. However, I call attention to the long road from identifying active ingredients of CBTs, whether in T0, T1, or T2 research, to improving outcomes. Dissemination and implementation research (T3 and T4 approaches) may be conceptually closer to improving outcomes. Given how common and disabling mental health symptoms are, I argue that if researchers want to improve patient outcomes, these research programs must receive more attention including work on the uptake of psychological interventions as well as work on optimal ordering of existing 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.

Examining Predictors of Depression and Anxiety Symptom Change in Cognitive Behavioral Immersion: Observational Study

BACKGROUND

Depressive and anxiety disorders are the most common mental disorders, and there is a critical need for effective, affordable, and accessible interventions. Cognitive Behavioral Immersion (CBI) is a novel group-based cognitive behavioral skills training program delivered by lay coaches in the metaverse that can be accessed through various modalities including virtual reality (VR) head-mounted displays or flat-screen devices. Combining its ability to offer empirically supported therapy skills in a digital setting that can still facilitate interpersonal variables (eg, working alliance and sense of social support) with the aid of lay coaches, CBI has the potential to help fill this critical need.

OBJECTIVE

This study had 2 primary aims. First, we aimed to examine changes in depression and anxiety symptoms in a sample of individuals who participated in CBI. Second, we aimed to examine 2 interpersonal process variables (working alliance and web-based social support) as predictors of symptom changes. We predicted CBI participants would experience depression and anxiety symptom improvements and that such improvements would be associated with an increase in both interpersonal process variables.

METHODS

The study sample consists of 127 participants who endorsed clinical levels of depression or anxiety symptoms during their first CBI session and attended at least 2 sessions. Participants were asked to complete self-report measures of depression symptoms, anxiety symptoms, alliance, and web-based social support throughout their participation in CBI.

RESULTS

Repeated measures ANOVAs determined that depression and anxiety symptom scores differed significantly across sessions (Ps<.01). We also found participants' web-based social support predicted improvement in depression symptoms (P=.01), but neither the alliance nor web-based social support predicted change in anxiety symptoms (Ps>.05). We also observed a significant difference in anxiety symptoms between participants who used a VR head-mounted display to access CBI and those who did not, such that participants who used VR head-mounted displays endorsed lower anxiety symptoms than those who did not at nearly every session (P=.04).

CONCLUSIONS

Participation in CBI is associated with both depression and anxiety symptom improvement. Web-based social support may play an important role in fostering changes in depression symptoms. Future studies are encouraged to continue examining the process of change in CBI with special attention paid to methods that can elucidate causal mechanisms of change.

Changes in affective and cognitive distortion symptoms of depression are reciprocally related during cognitive behavior therapy

We tested the predictions from Beck's cognitive theory that change in cognitive distortions precedes and predicts change in affective symptoms of depression, and his secondary prediction that change in affective symptoms precedes and predicts change in cognitive distortions during the course of cognitive behavior therapy (CBT; Beck, 1963). We used bivariate latent difference score modeling to examine change in affective and cognitive distortion symptoms of depression over time in a sample of 1402 outpatients who received naturalistic CBT in a private practice setting. Patients completed the Beck Depression Inventory (BDI) at each therapy session to monitor their progress in treatment. We selected items from the BDI to create measures of affective and cognitive distortion symptoms that allowed us to assess change in those phenomena over the course of treatment. We examined BDI data from up to 12 sessions of treatment for each patient. As predicted by Beck's theory, we found that change in cognitive distortion symptoms preceded and predicted change in affective symptoms of depression, and that change in affective symptoms preceded and predicted change in cognitive distortion symptoms. Both effects were small in size. These findings support the notion that change in affective and cognitive distortion symptoms of depression each precedes and predicts the other - that is, they are reciprocal in nature during cognitive behavior therapy. We discuss implications of our findings for the nature of the change process in CBT.

Negative cognitive beliefs, positive metacognitive beliefs, and rumination as mediators of metacognitive training for depression in older adults (MCT-Silver)

Background

Metacognitive Training for Depression in older adults (MCT-Silver; www.uke.de/mct-silver) is a cognitive-behavioral based group intervention that aims at reducing depression by targeting (meta)cognitive beliefs and rumination. In the present study, it was examined whether negative cognitive beliefs, positive metacognitive beliefs and/or rumination may be implicated as mediators of MCT-Silver's effects on depression.

Materials and methods

We conducted a secondary analysis of a randomized controlled trial comparing MCT-Silver to an active control intervention (cognitive remediation) including 66 older adults (60 years and older) with complete baseline data. Clinician-rated (Hamilton Depression Rating Scale) and self-reported (Beck Depression Inventory-II) depression, negative cognitive beliefs (Dysfunctional Attitudes Scale-18B), positive metacognitive beliefs (positive beliefs subscale; Metacognition Questionnaire-30) and rumination (10-item Ruminative Response Scale) were assessed before (pre) and after 8 weeks of treatment (post), as well as 3 months later (follow-up). It was examined whether change in depression (pre- to follow-up) was mediated by change in negative cognitive beliefs, positive metacognitive beliefs and/or rumination (pre- to post-assessment).

Results

Mediation results differed for self-reported vs. clinician-rated depression. The effect of MCT-Silver on reduction in clinician-rated depression was mediated by a reduction in self-reported rumination, whereas reduction in self-reported depression was mediated by a reduction in negative cognitive beliefs. Positive metacognitive beliefs were not a significant mediator for either outcome.

Conclusion

The current study provides initial evidence for the roles of negative cognitive beliefs and rumination in the treatment of depression in later life with MCT-Silver. Given the divergence of findings and lack of causal precedence, mechanisms of change for MCT-Silver cannot yet be equivocally identified.

Acceptability and Outcomes of Transdiagnostic Guided Self-help Bibliotherapy for Internalizing Disorder Symptoms in Adults: A Fully Remote Nationwide Open Trial

Introduction

Doing What Matters in Times of Stress (DWM) is a five-module transdiagnostic guided self-help (GSH) intervention developed by the World Health Organization, originally in a group-based format. In a sample of individuals recruited from across the United States, we conducted an open trial to study the feasibility and acceptability of an adaptation of DWM in which guidance was provided individually and remotely via phone and videoconferencing.

Methods

We assessed internalizing symptoms, psychological well-being, work and social functioning, usability of the intervention, and emotion regulation over the course of 6 weeks.

Results

A total of 263 individuals completed our screening. Of those, 75.29% (n = 198) qualified for the intervention. We reached most participants who qualified (71.21%, n = 141) via phone to schedule a GSH session. Most of those scheduled attended a study session (84.4%, n = 119), and most of those who attended a session completed more than half the treatment (84.03%, n = 100). Retention rates were comparable to meta-analytic estimates of dropout rates in GSH. Participants showed improvement on internalizing symptoms, psychological well-being, work and social functioning, usability of the intervention, and emotion regulation.

Conclusion

DWM is a freely available, seemingly efficacious transdiagnostic intervention for internalizing disorder symptoms.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10608-022-10338-5.

Negative cognitive schema modification as mediator of symptom improvement after electroconvulsive therapy in major depressive disorder

BACKGROUND

Electroconvulsive therapy (ECT) is a potent option for treatment-resistant major depressive disorder (MDD). Cognitive models of depression posit that negative cognitions and underlying all-or-nothing negative schemas contribute to and perpetuate depressed mood. This study investigates whether ECT can modify negative schemas, potentially via memory reactivation, and whether such changes are related to MDD symptom improvement.

METHOD

Seventy-two patients were randomized to either an emotional memory reactivation electroconvulsive therapy (EMR-ECT) or control memory reactivation electroconvulsive therapy (CMR-ECT) intervention prior to ECT-sessions in a randomized controlled trail. Emotional memories associated with patients' depression were reactivated before ECT-sessions. At baseline and after the ECT-course, negative schemas and depression severity were assessed using the Dysfunctional Attitude Scale (DAS) and Hamilton Depression Rating Scale HDRS. Mediation analyses were used to examine whether the effects of ECT on HDRS-scores were mediated by changes in DAS-scores or vice versa.

RESULTS

Post-ECT DAS-scores were significantly lower compared to baseline. Post-ECT, the mean HDRS-score of the whole sample (15.10 ± 8.65 [SD]; n = 59) was lower compared to baseline (24.83 ± 5.91 [SD]). Multiple regression analysis showed no significant influence of memory reactivation on schema improvement. Path analysis showed that depression improvement was mediated by improvement of negative cognitive schemas.

CONCLUSION

ECT is associated with improvement of negative schemas, which appears to mediate the improvement of depressive symptoms. An emotional memory intervention aimed to modify negative schemas showed no additional effect.

The Road to Cognitive Skill Acquisition: Psychometric Evaluation of the Competencies of Cognitive Therapy Scale

OBJECTIVE

Cognitive therapy (CT) skills are an index of treatment progress. They predict changes in patients' acute depressive symptoms and symptom relapses. However, the psychometric properties of the various measures of CT skills are poorly understood. This study aimed to investigate the factor structure of the Competencies of Cognitive Therapy Scale-Self Report (CCTS-SR) and assess its concurrent validity.

METHODS

The psychometric properties of the CCTS-SR were explored by using data from a panel of online respondents (N=410). The fit of a one-factor solution was explored by using a confirmatory factor analysis. Exploratory bifactor analyses (EBFA) were then conducted to determine other possible factor structures.

RESULTS

The one-factor solution did not fit the data well. Results of the EBFA suggested that the factor structure of the CCTS-SR may be characterized by a single underlying dimension capturing the general use of CT skills as well as by more specific factors the authors labeled "behavioral activation" and "CT comprehension." The variance captured by the factor initially labeled as CT comprehension was correlated with measures of depression and emotional dysregulation, suggesting that these items do not capture CT comprehension and should be removed from the scale.

CONCLUSIONS

The CCTS-SR seems to be characterized by more than a single factor, and items that seemingly compose CT comprehension (i.e., items 13 and 14) may need to be removed. Although the CCTS-SR may be a valid index of therapy progress, more attention needs to be paid to its psychometric properties.

Does psychological process change during psychotherapy predict long-term depression outcome after successful cognitive therapy or interpersonal psychotherapy? Secondary analysis of a randomized trial

OBJECTIVE

Psychotherapies for depression are similarly effective, but the processes through which these therapies work have not been identified. We focus on psychological process changes during therapy as predictors of long-term depression outcome in treatment responders.

METHOD

Secondary analysis of a randomized trial comparing cognitive therapy (CT) and interpersonal psychotherapy (IPT) that focuses on 85 treatment responders. Using mixed-effects models, changes during therapy (0-7 months) on nine process variables were associated with depression severity (BDI-II) at follow-up (7-24 months).

RESULTS

A decrease in dysfunctional attitudes was associated with a decrease in depression scores over time. Improved self-esteem was associated with less depression at follow-up (borderline significant). More improvement in both work and social functioning and interpersonal problems was associated with better depression outcomes in IPT relative to CT, while less improvement in work and social functioning and interpersonal problems was associated with better outcomes in CT relative to IPT.

CONCLUSIONS

Less negative thinking during therapy is associated with lower depression severity in time, while changes during therapy in work and social functioning and interpersonal problems appear to predict different long-term outcomes in CT vs. IPT. If replicated, these findings can be used to guide clinical decision-making during psychotherapy.

Are depressed patients' coping strategies associated with psychotherapy treatment outcomes?

BACKGROUND

In theory, depression is thought to be associated with deficits in adaptive and excesses in maladaptive coping strategies. This study aimed to investigate associations between coping strategies and depression treatment outcomes.

METHOD

Participants (N = 126) completed measures of adaptive and maladaptive coping strategies before and after accessing evidence-based psychotherapies for depression. The primary outcome was self-reported depression severity measured with the Patient Health Questionnaire (PHQ-9). Hierarchical regression was used to investigate associations between coping strategies and post-treatment depression symptoms, controlling for therapeutic alliance and relevant demographics.

RESULTS

Lower pre-treatment engagement coping and higher rumination predicted higher post-treatment depression, but both of these effects became non-significant after controlling for baseline depression severity. Similarly, correlations between change in rumination and change in depression were no longer significant after controlling for baseline severity.

CONCLUSIONS

Deficits in adaptive (engagement) and excesses in maladaptive (rumination) coping strategies may simply be proxy indicators (epiphenomena) of depression severity.

PRACTITIONER POINTS

Lower pre-treatment engagement coping predicted higher post-treatment depression Higher pre-treatment rumination predicted higher post-treatment depression Change in rumination during treatment correlated with change in depression symptoms However, none of the above associations remained statistically significant after controlling for baseline depression severity.

Using Socratic Questioning to promote cognitive change and achieve depressive symptom reduction: Evidence of cognitive change as a mediator

Socratic questioning has long been thought to play a critical role in cognitive behavioral therapy (CBT) for depression. Though use of Socratic questioning is theorized to achieve symptom reduction by promoting cognitive change, research has yet to investigate this pathway. In a sample of 123 clients participating in CBT for depression, we tested cognitive change as a mediator of the relation between Socratic questioning and symptom change in early treatment sessions. We found evidence of a significant indirect effect, consistent with cognitive change mediating the effect of Socratic questioning on change in depressive symptoms. Further analyses showed that pre-treatment CBT skills moderated the effect of Socratic questioning on cognitive change, with this relationship being stronger for clients who started treatment with lower CBT skills. These findings provide support for the view that Socratic questioning contributes to therapeutic gains in CBT through cognitive change. This study also provides initial evidence to suggest the use of Socratic questioning is particularly important for clients who begin treatment with particularly low CBT skills.

Refining our understanding of depressive states and state transitions in response to cognitive behavioural therapy using latent Markov modelling

BACKGROUND

It is increasingly recognized that existing diagnostic approaches do not capture the underlying heterogeneity and complexity of psychiatric disorders such as depression. This study uses a data-driven approach to define fluid depressive states and explore how patients transition between these states in response to cognitive behavioural therapy (CBT).

METHODS

Item-level Patient Health Questionnaire (PHQ-9) data were collected from 9891 patients with a diagnosis of depression, at each CBT treatment session. Latent Markov modelling was used on these data to define depressive states and explore transition probabilities between states. Clinical outcomes and patient demographics were compared between patients starting at different depressive states.

RESULTS

A model with seven depressive states emerged as the best compromise between optimal fit and interpretability. States loading preferentially on cognitive/affective v. somatic symptoms of depression were identified. Analysis of transition probabilities revealed that patients in cognitive/affective states do not typically transition towards somatic states and vice-versa. Post-hoc analyses also showed that patients who start in a somatic depressive state are less likely to engage with or improve with therapy. These patients are also more likely to be female, suffer from a comorbid long-term physical condition and be taking psychotropic medication.

CONCLUSIONS

This study presents a novel approach for depression sub-typing, defining fluid depressive states and exploring transitions between states in response to CBT. Understanding how different symptom profiles respond to therapy will inform the development and delivery of stratified treatment protocols, improving clinical outcomes and cost-effectiveness of psychological therapies for patients with depression.

Feasibility of an Exercise and CBT Intervention for Treatment of Depression: A Pilot Randomized Controlled Trial

Depression (DEP) is prevalent and current treatments are ineffective for many people. This pilot study's purpose was to assess the feasibility, acceptability, and plausible efficacy of an 8-week intervention employing 30 min of prescribed moderate intensity exercise ("ActiveCBT") compared to 30 min of usual activities ("CalmCBT") immediately prior to weekly online CBT sessions. Ten adults with DSM-5-diagnosed current DEP were randomized to groups and completed: an intake assessment, eight weekly CBT sessions, final assessment, and 3-month follow-up. ActiveCBT participants were prescribed 30-min of moderate exercise immediately prior to each standardized 50-min CBT session. CalmCBT participants continued with normal activities for 30 min before therapy. Questionnaires regarding DEP symptom severity (Patient Health Questionnaire-9 [PHQ-9]), between-session effectiveness (Behavioral Activation for Depression Survey [BADS], Automatic Thoughts Questionnaire [ATQ]), in-session effectiveness (Working Alliance Inventory-Short Revised [WAI]), and state anhedonia (Dimension Analog Rating Scale [DARS], Visual Analog Scale [VAS]; assessed 3 times: before Active/Calm condition, after, and after therapy) were completed each week. Therapy fidelity ratings were independently coded via a standardized codebook. The Structured Clinical Interview for DSM-5 (SCID) and Hamilton Rating Scale for Depression (HAMD) were used to assess DEP at intake, final, and 3-month follow-up. We found strong feasibility and acceptability (100% adherence, 100% retention at final visit, 74.6% therapy fidelity, and high patient satisfaction ratings). Differences between groups favoring ActiveCBT in anhedonia (DARS, Hedges' g = 0.92; VAS, g = 3.16), within- (WAI, g = 0.1.10), and between-session effectiveness (ATQ g = -0.65; BADS g = -1.40), suggest plausible efficacy of ActiveCBT for enhancing CBT. DEP rates were reduced in both groups from baseline to final (60% MDD SCID remission) and at follow up (Active: 40%; Calm: 25%). Larger and potentially quicker symptom improvement was found favoring the Active condition to the final visit (HAMD, between-group changes g = -1.33; PHQ-9, g = -0.62), with small differences remaining at follow-up (HAMD, g = -0.45; PHQ-9, g = -0.19). Exercise priming appears acceptable and plausibly efficacious for enhancing mechanisms of CBT and overall outcomes, though the present small sample precludes efficacy determinations. It appears feasible to conduct a randomized controlled trial comparing ActiveCBT to CalmCBT. Future trials evaluating this potentially promising treatment approach and mediating mechanisms are warranted.

When Are Therapists' Efforts to Bring about Cognitive Change Effective? Considering Interpersonal Vulnerabilities as Contextual Factors

We examined interpersonal variables as moderators of the relation between therapists' use of cognitive change (CC) strategies and CC in a sample of 125 adults who participated in cognitive behavioral therapy for depression. We measured self-reported maladaptive personality characteristics, interpersonal problems, and social skills at intake. Observers rated therapist adherence to cognitive methods for the first five sessions. Patients reported in-session CC following each session. Cognitive methods predicted greater CC. The relation between cognitive methods and CC was moderated by maladaptive personality traits; this relation was stronger for patients with greater maladaptive personality traits. We encourage future research investigating moderators of therapist interventions of putative therapeutic mechanisms.

Therapist Interventions and Skills as Predictors of Dropout in Outpatient Psychotherapy

The current study employed machine learning to investigate whether the inclusion of observer-rated therapist interventions and skills in early sessions of psychotherapy improved dropout prediction beyond intake assessments. Patients were treated by postgraduate clinicians at a university outpatient clinic. Psychometric instruments were assessed at intake and therapeutic interventions and skills in the third session were routinely rated by independent observers. After variable preselection, an elastic net algorithm was used to build two dropout prediction models, one including and one excluding observer-rated session variables. The best model included observer-rated variables and was significantly superior to the model including intake variables only. Alongside intake variables, two observer-rated variables significantly predicted dropout: therapist use of feedback and summaries and treatment difficulty. Although not retained in the final prediction model, the observer-rated use of cognitive techniques was also significantly correlated with dropout. Observer ratings of therapist interventions and skills in early sessions of psychotherapy improve predictors of dropout from psychotherapy beyond intake variables alone. Future research could work toward personalizing dropout predictions to the specific dyad, thereby improving their validity and aiding therapists to recognize and react to increased dropout risk.

What Do People Really Think of Me? Evaluating Bias in Interpersonal Predictions Over the Course of Cognitive-Behavioral Therapy of Depression

Cognitive behavioral therapy (CBT) of depression is hypothesized to achieve its effects by correcting negative biases. However, little research has tested how biases change over the course of CBT. We focus on biases in interpersonal judgments and examine whether changes in biases occur in CBT and are associated with symptom improvements. A sample of 126 adults (60% women, mean age 31.7, 83% White) participated in CBT of depression. Observers provided ratings of patients participating in two interpersonal tasks on three occasions. Patients were asked to predict observers' ratings. In a thin slice (TS) task, observers evaluated how patients came across in a brief segment in which patients talked about themselves. In a Standard Interaction Task (SIT), observers rated the social skills patients displayed in challenging role plays. The difference between patient predictions and observer ratings provided measures of bias in these interpersonal judgments. TS and SIT bias became significantly less pessimistic and more realistic over the course of CBT. Improvements in TS bias were associated with a faster reduction in symptoms, whereas there was a non-significant trend for improvement in SIT bias being associated with faster symptom reduction. Consistent with the CBT model, negative interpersonal biases became more realistic throughout a course of CBT for depression and at least some of the changes in bias were related to therapeutic outcomes. We encourage future researchers to continue examining for whom and under which conditions correcting such biases produces the greatest benefits.

Does the working alliance mediate the therapist competence-outcome relationship in cognitive behavior therapy for depression?

Objective: This study examined whether the working alliance mediated the effect of therapist competence on subsequent depression symptomology during Cognitive Behavioral Therapy (CBT). We also tested the potential moderation effect of alliance on subsequent depressive symptomology, based on participants' cognitive aptitude.Method: A total of 86 sessions were coded as the prediction interval across 50 patient-therapist dyads (age M = 39.22, SD = 8.78; 76% female). While accounting for prior depression, competence, and alliance levels, predictors were assessed early treatment (session 1; n = 45 sessions), mid-treatment (session 12; n = 41 sessions), and depressive symptomology was assessed at the subsequent session to the predictor assessments to investigate within-session variability of process variables.Results: Mediation analysis revealed that the effect of early treatment therapist competence on symptom change was mediated by alliance (indirect effect: β = -.17, 95% percentile bootstrap CI [-.32, -.01]). The positive association involving early treatment alliance and next session outcome was conditional upon low cognitive aptitude levels.Conclusions: Our result offers preliminary support for alliance as a mediator of the effect of competence, and that alliance-outcome relations vary as a function of client aptitude. These novel findings require replication and extension.

Investigating patient-specific mechanisms of change in SET vs. EFT for depression: study protocol for a mechanistic randomized controlled trial

BACKGROUND

Major depressive disorder (MDD) is the leading cause of disability worldwide and one of the most heterogeneous mental health disorders. Although there are effective treatments for MDD, about 50% of patients do not respond to treatment. One of the greatest challenges in improving current treatments is identifying the mechanisms responsible for therapeutic change in MDD. The proposed study aims to identify patient-specific mechanisms of change in two treatments for MDD by investigating whether subpopulations of patients differ in the mechanisms of change that operate when receiving a given treatment. Based on theories of targeting weakness and building on strength, we will examine whether the mechanism of change operating when a treatment is provided depends on whether the treatment targets the patient's strength or weakness.

METHOD

To test our hypothesis that two treatments, supportive-expressive treatment (SET) and emotion-focused treatment (EFT), differ in their mechanisms of change and to explore whether focusing on the patient's strength or weakness will result in better treatment outcome, we conduct a mechanistic randomized controlled trial. One hundred and twenty-four individuals diagnosed with MDD are randomized to 16 sessions of either SET or EFT. The two treatments are theorized to differ in their main mechanism of change: SET places emphasis on insight as its main mechanism of change, and EFT places emphasis on emotional processing. Both can serve as strength- or weakness-focused treatments, based on the patient's baseline levels of insight and emotional processing. The primary outcome is the Hamilton Rating Scale for Depression. Additional measures include self-report measures and clinical interviews, hormonal, motion, acoustic, physiological, and neuroimaging assessments, performance on cognitive tasks, and narrative material (collected from the sessions and interviews).

DISCUSSION

The RCT will expand our understanding of mechanisms of change in psychotherapy, from one-size-fits-all to patient-specific mechanisms of change. By informing therapists about which of the two approaches is most effective with patients based on their baseline characteristics, the RCT will contribute to progress toward personalized treatment.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT04576182 submitted on October 1st 2020.

FUNDING

The Israel Science Foundation. Trial status: Recruitment is ongoing.

Evaluation of mechanism of change in transdiagnostic cognitive behaviour therapy using single case experimental design

BACKGROUND AND OBJECTIVES

Transdiagnostic mechanisms of change (txMOC) specific to cognitive behaviour therapy are poorly understood. Salkovskis (1996) proposed one such mechanism in terms of the shift towards an alternative, less negative view of their problems or cognitive flexibility. This hypothesis has been described as involving a shift in beliefs, from "theory A″ to "theory B". The objective of this research was to evaluate this hypothesis.

METHODS

Effectiveness of a novel txCBT and temporal changes in process and symptom measures were evaluated using a non-concurrent multiple baseline design and Tau-U calculations with thirteen participants (five with obsessive-compulsive disorder, two with panic disorder with agoraphobia and six with major depressive disorder). As a secondary analysis authors calculated Kendall's - Tau correlation between process and symptom measures, performed the Wilcoxon signed-rank test to assess treatment modules effect on negative thought and calculated Reliable change index (RCI).

RESULTS

The txCBT was clearly effective for eight participants. The results varied dependent on the stimuli evaluated as negative or threatening. Level and trend of the ratings of belief in theory A followed the level and trend of symptom measures to a greater extent than the (inverse) level and trend of belief in theory B.

LIMITATIONS

Only thirteen participants were recruited and evaluated.

CONCLUSIONS

The results are consistent with the view that effective treatment may involve a txMOC characterized by the ability to shift from a relatively fixed negative view of their experience to a less negative psychologically focused alternative.

Physiological and self-reported arousal in virtual reality versus face-to-face emotional activation and cognitive restructuring in university students: A crossover experimental study using wearable monitoring

BACKGROUND

Arousal may be important for learning to restructure ones' negative cognitions, a core technique in depression treatment. In virtual reality (VR), situations may be experienced more vividly than, e.g., in an imaginative approach, potentially aiding the emotional activation of negative cognitions. However, it is unclear whether such activation and subsequent cognitive restructuring in VR elicits more physiological, e.g. changes in skin conductance (SC), heart rate (HR), and self-reported arousal.

METHOD

In a cross-over experiment, 41 healthy students experienced two sets, one in VR, one face-to-face (F2F), of three situations aimed at activating negative cognitions. Order of the sets and mode of delivery were randomised. A wristband wearable monitored SC and HR; self-reported arousal was registered verbally.

RESULTS

Repeated measures analyses of variance revealed significantly more SC peaks per minute, F (1, 40) = 13.89, p = .001, higher mean SC, F (1,40) = 7.47, p = .001, and higher mean HR, F (1, 40) = 75.84, p < .001 in VR compared to F2F. No differences emerged on the paired-samples t-test for self-reported arousal, t (40) = -1.35, p = .18.

DISCUSSION

To the best of our knowledge, this is the first study indicating that emotional activation and subsequent cognitive restructuring in VR can lead to significantly more physiological arousal compared to an imaginative approach. These findings need to be replicated before they can be extended to patient populations.

Autistic Traits Moderate Reappraisal Success for Depression and Anxiety Symptoms

Cognitive reappraisal is associated with reduced emotional distress; however, little is known about the nature of this relationship in autism. This study tested whether autistic traits moderate reappraisal success (i.e., the negative correlation between reappraisal use and emotional symptom severity). Emotional symptoms were assessed using measures of depression, anxiety, and stress. It was hypothesized that more severe autistic traits would be associated with weaker reappraisal success across all scales. Data were collected from 377 adults using an on-line survey. Structural equation models found moderation effects for depression and anxiety, but not stress. Contrary to hypotheses, more severe autistic traits were associated with stronger reappraisal success. These preliminary results support including reappraisal in emotion regulation treatments for individuals with autistic traits.

Individuals with depression express more distorted thinking on social media

Depression is a leading cause of disability worldwide, but is often underdiagnosed and undertreated. Cognitive behavioural therapy holds that individuals with depression exhibit distorted modes of thinking, that is, cognitive distortions, that can negatively affect their emotions and motivation. Here, we show that the language of individuals with a self-reported diagnosis of depression on social media is characterized by higher levels of distorted thinking compared with a random sample. This effect is specific to the distorted nature of the expression and cannot be explained by the presence of specific topics, sentiment or first-person pronouns. This study identifies online language patterns that are indicative of depression-related distorted thinking. We caution that any future applications of this research should carefully consider ethical and data privacy issues.

A Revised Theory of Sudden Gains in Psychological Treatments

Sudden gains were first defined and quantified by Tang and DeRubeis (1999) and were found to predict treatment outcome in cognitive therapy for depression. Since that seminal paper, over 100 examinations of sudden gains have been published and sudden gains have been found to be ubiquitous in psychological treatments and to consistently predict better treatment outcomes across a multitude of disorders and contexts (see Shalom & Aderka, 2020 for a review). The research on sudden gains has seen considerable growth over the past 20 years. However, the theory behind sudden gains (which addresses processes leading to sudden gains, and processes resulting from sudden gains) has never been revised. Based on the empirical research which has accrued over the last 20 years, we present an empirically-based revision of the theory of sudden gains. The revised theory addresses both predictors of sudden gains and processes that may lead to sudden gains, as well as the consequences of sudden gains and the processes by which sudden gains can affect outcome. We also present a number of hypotheses that can be derived from the theory as well as the status of empirical evidence supporting these hypotheses. Research and clinical implications are discussed.

Disentangling Trait-Like Between-Individual vs. State-Like Within-Individual Effects in Studying the Mechanisms of Change in CBT

Hofmann et al. argued that "[w]hile the clinical field has produced a dizzying number of treatment models and treatment protocols for virtually every psychiatric and psychological problem imaginable, increases in understanding of the processes of change in psychotherapy has been slow to arrive." We propose that one of the reasons for the slow progress is that prior psychotherapy research conflates trait-like and state-like components of mechanisms of change. Trait-like components can serve as prescriptive or prognostic variables, whereas state-like components reflect within-client processes of change, and may highlight active ingredients of successful treatment. Distinguishing between the two is essential for clarifying the underlying processes of change in psychotherapy, and ultimately identifying empirically-derived individualized treatment targets. We review studies that implement methodological and statistical approaches for disentangling the two. These studies clarified particular mechanisms of change that may operate in a given treatment, highlighted differences in the processes of change between different treatments, and explored the within-individual interplay between different mechanisms of change during treatment. Examples include studies investigating the therapeutic role of behavioral, cognitive, and interpersonal skills, as well as emotional processing. We conclude with suggestions for future research, including attention to diversity, improved measurement to facilitate a reliable and valid estimation of trait-like and state-like components, the use of appropriate statistical approaches to adequately disentangle the two components, integration of theory-driven and data-driven methods of analysis, and the need to experimentally manipulate the state-like changes in a given mechanism of change to strengthen causal inferences.

Depression in the Mirror: Depression Severity and Its Link to Negative Judgments of Symptoms

Background and Objectives: Depressive states represent a normal and physiological response to the experience of loss. However, it is possible to identify some elements that allow distinguishing physiological depressive states from pathological ones. Over the years, research has confirmed that a stable tendency to negative self-evaluation is a transdiagnostic factor that triggers and amplifies dysfunctional emotional reactivity, thus contributing to the shift from normal to pathological reaction. In this sense, the secondary problem, or meta-emotional problem, referring to the negative evaluation of one's depressive state and the consequent dysfunctional attempts to solve it, seems to play an important role. The aim of the present study is to investigate how dysfunctional beliefs and the evaluations of depressive symptoms (meta-emotional problems) are related to depression severity. Methods: We asked to a community sample to focus on the depressive symptoms they regard as most distressful and evaluate them through specific questionnaires. One-hundred and eighty nine participants were asked to complete a set of questionnaires: (1) the Meta-Emotional Problem Questionnaire; (2) the Center for Epidemiologic Studies Depression Scale; (3) the Beck Depression Inventory; (4) the Dysfunctional Attitude Scale-24 in order to investigate the relation between dysfunctional beliefs, meta-emotional problems, and depressive symptoms severity. Results: Our results show that higher levels of depression are associated both to more pervasive dysfunctional attitudes and increased evaluation of meta-emotional problem. In addition, we conduct a regression analysis to disentangle the impact of the two different measures of depressive symptoms (i.e., BDI-II and CES-D) with two explanatory variables (dysfunctional attitudes and meta-emotional problem). Results show that meta-emotional problem remains a significant and robust predictor of the severity of depressive symptomatology, while dysfunctional beliefs has a rather weak and non-significant relation with the criterion. In other words, meta-emotional problem consistently explains the higher variance of depressive symptoms than dysfunctional beliefs. In conclusion, our study shows a clear link between meta-emotional problem and depression severity. This is relevant for clinical practice, as it highlights the importance of specifically targeting beliefs about the depressive condition in cognitive-behavioral treatment of depression, since they represent crucial factors maintaining depressive symptomatologies.

Mediators and mechanisms of change in internet- and mobile-based interventions for depression: A systematic review

The efficacy of Internet- and mobile-based interventions (IMIs) for depression in adults is well established. Yet, comprehensive knowledge on the mediators responsible for therapeutic change in these interventions is pending. Therefore, we conducted the first systematic review on mediators in IMIs for depression, investigating mechanisms of change in interventions with different theoretical backgrounds and delivery modes (PROSPERO CRD42019130301). Two independent reviewers screened references from five databases (i.e., Cochrane Library, Embase, MEDLINE/PubMed, PsycINFO and ICTRP), selected studies for inclusion and extracted data from eligible studies. We included 26 RCTs on mediators in IMIs for depression (6820 participants), rated their risk of bias and adherence to methodological quality criteria for psychotherapy process research. Primary studies examined 64 mediators, with cognitive variables (e.g., perceived control, rumination or interpretation bias) being the largest group of both examined (m = 28) and significant mediators (m = 22); followed by a range of other mediators, including mindfulness, acceptance and behavioral activation. Our findings might contribute to the empirically-informed advancement of interventions and mental health care practices, enabling optimized treatment outcomes for patients with depression. Furthermore, we discuss implications for future research and provide methodological recommendations for forthcoming mediation studies with more pertinent designs, allowing for inferences with higher causal specificity.