User experiences of college students using mental health applications to improve self-care: Implications for improving engagement.

The purpose of this study is to evaluate themes on 'user experiences' among college students (N = 265) enrolled in an upper-division Psychopathology course who were assigned a project in which they were instructed to identify a self-care goal, choose from a list of six mental health-focused mobile applications (apps) provided by the instructor, and use the app over the course of three weeks to support progress towards their goal. Prior literature on user experiences typically evaluates user reviews, or asks participants to reflect on past app use or anticipate future use. Students reported their experiences using the app during key decision points: app selection, while using the app, and at the conclusion of the assignment. Using thematic analysis, results identified seven central themes and eight subthemes pertaining to the content of the app (e.g., app features) and the context of using the app (e.g., classroom assignment). Content-wise students liked: 1) features with a strong evidence base, namely, thought diaries and guided meditations; 2) progress tracking, because it increased awareness of mood/stressors, motivated students to see improvement, and helped them stay on track. Students appreciated having 3) crisis support resources; 4) app interfaces that allowed for customization (poor app interfaces were sometimes cited as the reason for disengagement); and 5) apps that included varied, comprehensive resources such that it felt like a one-stop shop. In addition to the content of features and design interface, the context in which mental health apps are introduced and used is important. The remaining themes related to the context in which the app was used, including 6) preparation for app usage, such as reviewing scholarly/credible sources, and 7) social support from fellow students completing the same assignment. Future research should evaluate the 'who, what, when, why, where, and how' of app utilization during key decision points, such as initial app selection or subscription renewal, to better understand the impact of user experience on engagement.

Validation of the Attitudes Towards Psychological Online Interventions Questionnaire Among Black Americans: Cross-cultural Confirmatory Factor Analysis.

BACKGROUND: Acceptability of digital mental health interventions is a significant predictor of treatment-seeking behavior and engagement. However, acceptability has been conceptualized and operationalized in various ways, which decreases measurement precision and leads to heterogeneous conclusions about acceptability. Standardized self-report measures of acceptability have been developed, which have the potential to ameliorate these problems, but none have demonstrated evidence for validation among Black communities, which limits our understanding of attitudes toward these interventions among racially minoritized groups with well-documented barriers to mental health treatment. OBJECTIVE: This study aims to examine the psychometric validity and reliability of one of the first and most widely used measures of acceptability, the Attitudes Towards Psychological Online Interventions Questionnaire, among a Black American sample. METHODS: Participants (N=254) were recruited from a large southeastern university and the surrounding metropolitan area and completed the self-report measure via a web-based survey. A confirmatory factor analysis using mean and variance adjusted weighted least squares estimation was conducted to examine the validity of the underlying hierarchical 4-factor structure proposed by the original authors of the scale. An alternative, hierarchical 2-factor structure model and bifactor model were examined for comparative fit. RESULTS: The findings indicated that the bifactor model demonstrated a superior fit (comparative fit index=0.96, Tucker-Lewis index=0.94, standardized root mean squared residual=0.03, and root mean square error of approximation=0.09) compared with both 2- and 4-factor hierarchical structure models. CONCLUSIONS: The findings suggest that, within a Black American sample, there may be greater utility in interpreting the Attitudes Towards Psychological Online Interventions Questionnaire subscales as attitudinal constructs that are distinct from the global acceptability factor. The theoretical and practical implications for culturally responsive measurements were explored.

A qualitative exploration of college students' experiences using mobile apps to improve self-care during the COVID-19 pandemic.

Objective: This project examines students' experiences using a mental health mobile application (app) as part of a class assignment developed to support student well-being. Participants: Data was collected from 265 undergraduate students enrolled in a psychology course during the COVID-19 pandemic. Methods: Students developed a self-care goal and used an app to support progress toward it. Thematic analysis was applied to students' written reflections about their experiences using the app and practicing self-care. Results: Students reported using an app for self-care was 1) more helpful than expected for improving focus, productivity, motivation, sleep, and mental health symptoms; 2) challenging due to loss of interest, slow improvement, difficulty integrating into routine, or negative feelings triggered; and 3) influenced by the pandemic and transition to remote learning. Conclusions: A classroom assignment designed to promote self-care using a mental health app shows promise. Future research is needed to better understand engagement and impact.

Does Using a Mindfulness App Reduce Anxiety and Worry? A Randomized-Controlled Trial.

Objectives: the availability of smartphone-based mindfulness training applications (apps) may circumvent many barriers to receiving in-person help, but little controlled research has been conducted on them. This study sought to evaluate the effectiveness of a widely used -mindfulness training app, Headspace, at reducing anxiety and worry. Methods: this study used a randomized-controlled design to examine the app using a 3 (Time; baseline, 4 weeks, 8 weeks) × 2 (Access; immediate, delayed for 4 weeks) design. Participants who reported moderate to high anxiety or worry were randomly assigned to receive -either -immediate access or delayed access to the app. For null hypothesis significance testing (NHST), analyses of variance were used to test the hypotheses that app access for 4 and 8 weeks would reduce anxiety and worry as compared to waitlist or baseline and that app access for 8 weeks would reduce anxiety and worry as compared to 4 weeks. Bayes estimates were used to -determine the level of evidence for the hypothesis that app access reduces anxiety and worry. Results: four weeks of app access significantly reduced anxiety symptoms, as did 8 weeks, but NHST indicated there were no significant difference between 4 and 8 weeks of access. We failed to reject the null for the analysis of variance on worry, but Bayesian estimates indicated substantial evidence for the hypothesis that the mindfulness training app reduces worry. Conclusions: this research shows that using Headspace can reduce anxiety and worry, but that there does not appear to be a consistent dose relation.

Culturally adapted digital mental health interventions for ethnic/racial minorities: A systematic review and meta-analysis.

OBJECTIVE: Digital mental health interventions (DMHIs) are typically designed as "one-size fits all" which may perpetuate health disparities for racialized minorities. This systematic review identified culturally adapted DMHIs and examined their efficacy and acceptability among racial and ethnic minorities. METHOD: PsycINFO, Web of Science, and Pubmed databases were searched between 2000 and 2021. Studies that examined the development or impact of a culturally adapted DMHI for racial or ethnic minority populations using quantitative and/or qualitative methodologies were included. Meta-analyses explored the efficacy of DMHIs, and moderator analyses were used to identify differences in effect sizes due to study quality, clinical outcomes, therapist support, and attrition. RESULTS: Thirty-two studies met inclusion criteria and were reviewed. DMHIs were deemed acceptable and feasible in most studies (n = 24). Among eligible randomized controlled studies (n = 12) comprising 653 participants, results indicated that culturally adapted DMHIs produced a large, positive, significant effect (g = 0.90) across a range of outcomes when compared to wait-list and treatment as usual control conditions. The average attrition rate per study was 42%, and most participants did not complete all modules despite reporting high satisfaction. CONCLUSIONS: Culturally adapted DMHIs are efficacious and acceptable. Such interventions represent a powerful opportunity to circumvent barriers to mental health treatment and improve mental health equity among racially and ethnically minoritized communities. However, the prevalence of feasibility studies, lack of active comparison treatments-and limited research for Black and Indigenous populations-indicate that more research is needed to achieve this purpose. Recommendations are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

User Behavior of a Publicly Available, Free-to-Use, Self-guided mHealth App for Depression: Observational Study in a Global Sample.

BACKGROUND: Reducing the burden of depression is a global health concern. Self-guided mobile health (mHealth) apps are one approach to address this problem. However, there is little research on self-guided mHealth apps in a global sample or on how they are used in the real world. These gaps in our knowledge must be addressed to bring the promise of mHealth apps for reducing the global burden of depression closer to reality. OBJECTIVE: The purpose of this study is to examine the naturalistic user behavior of MoodTools, a publicly available, free-to-use, self-guided mHealth app designed to improve symptoms of depression, in a global community sample. METHODS: Mobile analytics data were collected from all unique downloads of the Android version of MoodTools between March 1, 2016, and February 28, 2018. Due to the deidentification and data aggregation process, no demographic or personal identifying information was tied to individual user data. All information was stored in aggregated, anonymized data files on Google Analytics' storage database. Google's software development kit was used to securely capture data about the number of downloads, location of downloads, number of app sessions, frequency and duration of app sessions, time between app sessions, and user retention, allowing for examination of which app's tools were viewed and for how long, including Information (psychoeducation), Test (self-monitoring using the Patient Health Questionnaire [PHQ-9]), Thought Diary (targeting negative cognitions), Activities (behavioral activation), Videos (curated from YouTube), and Safety Plan (safety plan development and links to quickly access crisis management resources). RESULTS: MoodTools was used by 158,930 people from 198 countries, including countries where English was not the primary language and in low- and middle-income countries. After the initial download, 51.14% (n=81,277) of users returned to the app after the initial download, and retention rates decreased with each subsequent app session. The typical person used the app for 3 sessions for a total of 12 minutes over 90 days. The most frequently visited tools were Test and Thought Diary (n=393,549, 24.32%). On average, users completed and reviewed the results of the PHQ-9 for 49 seconds and 53 seconds, respectively, and spent 3 minutes and 5 seconds on Thought Diary. CONCLUSIONS: Self-guided mHealth apps could be one approach (among the many needed) to reduce the burden of depression. Observational data collected in this study show a global interest in MoodTools, including in low- and middle-income countries and countries where English is not the primary language. Future research is needed to determine whether people who use self-guided apps experience improvement in depressive symptoms, and if so, what "dosage" provides a meaningful benefit.

A novel computer task to assess outcome probability bias.

This research describes the development of a novel computer task to assess outcome probability bias for social anxiety - the tendency to make unrealistically high evaluations of the probability of experiencing a negative outcome when anticipating a social encounter - that improves upon existing measures by using images and by assessing the construct at automatic and controlled levels of processing. The first study evaluated the images selected for the task and the extent to which the task elicited automatic responding, and the second study evaluated the task's reliability and validity. Across both studies, 203 college students completed the outcome probability bias computer task, standardized self-report questionnaires of outcome probability bias, outcome cost bias, depression and stress, and safety behaviors, and completed a behavioral avoidance task. The task demonstrated good to excellent internal consistency (α = 0.82 - 0.96) and significant positive correlations with a standardized measure of outcome probability bias (r = 0.33 - 0.48). With one exception, all hypotheses regarding the convergent, discriminant, construct, and criterion validity of the task were supported. Pending replication and additional evaluation, the outcome probability bias computer task may advance research on social anxiety disorder and may be adapted for use with other related disorders.

Increasing Acceptability and Outcome Expectancy for Internet-Based Cognitive Behavioral Therapy During the COVID-19 Pandemic.

Background:e-Health interventions for mental health have the potential to reduce burdens on health care systems, but large survey studies find low acceptability for these interventions. The COVID-19 pandemic may make attitudes toward e-health more malleable. The current study examined whether an intervention to improve attitudes toward Internet-based cognitive behavioral therapy (iCBT) has a greater impact during the COVID-19 pandemic than before the pandemic.Materials and Methods:Individuals (N = 662) recruited from a large university and surrounding community who participated in a study about the acceptability of iCBT in 2018 and 2019 were asked to participate in a follow-up survey. In the original study, participants were randomized to receive or not receive a rationale designed to increase acceptability of iCBT, and then they completed measures of acceptability and outcome expectancy for iCBT. Fifty-one participants enrolled in the follow-up study from May to July 2020. They received a treatment rationale for iCBT (or not) in keeping with randomization from the parent study and re-completed measures assessing the acceptability and outcome expectancy for iCBT.Results:Contrary to hypotheses, two-way analyses of covariance (ANCOVA's) demonstrated that there was no significant interaction between time point and rationale condition on acceptability or outcome expectancy for iCBT. There was a significant main effect of rationale condition on acceptability, such that participants who received a treatment rationale reported greater acceptability for iCBT. There were no significant main effects of time.Conclusions:A treatment rationale was effective in improving acceptability for iCBT in a general population sample, but not more so during the COVID-19 pandemic.

The use of trial-level bias scores to examine attention bias and attention bias variability among people with and without social anxiety disorder.

BACKGROUND: Cognitive models of anxiety propose that people with anxiety disorders show elevated levels of attention bias toward threat, but the most commonly used index of attention bias, which measures the construct with an aggregate score of multiple trials across an experimental session, shows poor test-retest reliability. Newer indices that measure attention bias dynamically on a trial-to-trial basis show good reliability and enable researchers to measure not only overall attention bias toward threat, but also attention bias variability. METHODS: The current study tested the hypothesis that people diagnosed with social anxiety disorder would show higher attention bias variability and higher attention bias toward threat when calculated dynamically and when calculated using the traditional aggregate index. Participants diagnosed with social anxiety disorder (n = 47) and controls (n = 57) completed a 160-trial version of the dot-probe task using emotional and neutral images of faces as stimuli. RESULTS: Relative to controls, participants diagnosed with social anxiety disorder showed higher mean bias toward threat, but only when calculated using trial-level bias scores. There were no differences between groups on attention bias variability. DISCUSSION: This is the first study to examine differences in attention bias and attention bias variability between people with and without social anxiety disorder using trial-level bias scores. Results suggest that attention bias, but not attention bias variability, is a feature of social anxiety psychopathology and that trial-level bias scores may be more sensitive than aggregated mean scores to detect it. These findings have implications for clinical interventions such as attention bias modification programs, which require precise measures of attention bias to accurately assess treatment outcomes.

Improving Acceptability and Uptake Behavior for Internet-Based Cognitive-Behavioral Therapy.

Internet-based cognitive behavioral therapy (iCBT) programs have the potential to improve access to mental healthcare, but they are not viewed as acceptable nor widely utilized by the general public. This study tested whether two acceptance-facilitating interventions improved acceptability and uptake-related behavior for therapist assisted and self-guided iCBT. Participants were randomly assigned to read a treatment rationale for iCBT (vs. a brief definition) and to receive a small financial incentive (or not) for seeking more information about evidence-based iCBT programs. Participants (N = 662) were a diverse group recruited from a University participant pool and the surrounding community. Participants completed standardized measures of attitudes toward and outcome expectancy for iCBT and a single question about willingness to use it and were given the opportunity to get information about accessing evidence-based iCBT programs. A series of MANCOVAs showed small, positive effects of the treatment rationale on attitudes and outcome expectancy for both self-guided and therapist-assisted iCBT, but not for willingness to use it. A hierarchical logistic regression model found no effect of the treatment rationale or financial incentive on whether participants sought additional information about how to access iCBT, although psychopathology symptoms and identifying as White or multiracial were positively associated with information-seeking. Inconsistent with past research, participants rated therapist-assisted and self-guided iCBT as equally acceptable. Participants recruited from the community reported greater willingness to use iCBT than University students. These results underscore the urgent need for further research toward improving the acceptability and uptake of iCBT so that it may better fulfill its potential to fill the gap in unmet mental health need.

Engagement with mobile health interventions for depression: A systematic review.

BACKGROUND: Depressive disorders are a major public health problem, and many people face barriers to accessing evidence-based mental health treatment. Mobile health (mHealth) interventions may circumvent logistical barriers to in-person care (e.g., cost, transportation), however the symptoms of depression (low motivation, concentration difficulties) may make it difficult for people with the disorder to engage with mHealth. OBJECTIVE: The aim of this systematic review is to examine assessment and reporting of engagement in clinical trials of mHealth interventions for depression, including objective engagement (e.g., number of times program is used), subjective engagement (e.g., qualitative data on users' experiences), and associations between engagement and other clinically important variables (e.g., symptom improvement, participant characteristics). METHODS: Three electronic databases (PsycINFO, Web of Science, PubMed) were searched in February 2020 using search terms for mHealth and depression. Studies were included in the review if they tested a mHealth intervention designed for people with depressive disorders or elevated depression symptoms. RESULTS: Thirty studies met inclusion criteria and were reviewed. Most studies reported objective engagement (N = 23, 76.7%), approximately half reported subjective engagement (N = 16, 53.3%), and relatively few examined associations between engagement and clinical improvement, participant characteristics, or other clinically relevant variables (N = 13, 43.3%). CONCLUSIONS: Although most studies in this small but rapidly growing literature report at least one measure of engagement, there is substantial heterogeneity. Intentional, theory-driven, and consistent measurement of engagement with mHealth interventions for depression may advance the field's understanding of effective engagement to facilitate clinical improvement, identify dose-response relationships, and maximize generalizability for underserved populations.

Integrating virtual realities and psychotherapy: SWOT analysis on VR and MR based treatments of anxiety and stress-related disorders.

The use of virtual reality (VR) and mixed reality (MR) technology in clinical psychology is growing. Efficacious VR-based treatments for a variety of disorders have been developed. However, the field of technology-assisted psychotherapy is constantly changing with the advancement in technology. Factors such as interdisciplinary collaboration, consumer familiarity and adoption of VR products, and progress in clinical science all need to be taken into consideration when integrating virtual technologies into psychotherapies. We aim to present an overview of current expert opinions on the use of virtual technologies in the treatment of anxiety and stress-related disorders. An anonymous survey was distributed to a select group of researchers and clinicians, using an analytic framework known as Strengths, Weaknesses, Opportunities, and Threats (SWOT). Overall, the respondents had an optimistic outlook regarding the current use as well as future development and implementation of technology-assisted interventions. VR and MR psychotherapies offer distinct advantages that can overcome shortcomings associated with traditional therapy. The respondents acknowledged and discussed current limitations of VR and MR psychotherapies. They recommended consolidation of existing knowledge and encouraged standardisation in both theory and practice. Continued research is needed to leverage the strengths of VR and MR to develop better treatments.Abbreviations: AR: Augmented Reality; MR: Mixed Reality; RCT: Randomised Controlled Trial; SWOT: Strengths, Weaknesses, Opportunities, and Threats; VR: Virtual Reality; VR-EBT: Virtual Reality Exposure-Based Therapy.

Maximizing the impact of virtual reality exposure therapy for anxiety disorders.

The impact of virtual reality on access to exposure therapy and recovery from anxiety is unrealized, but an argument can be made that this is about to change. Virtual reality exposure therapy for anxiety disorders is safe, effective, and, in most cases, as effective as in vivo exposure therapy. Clinician attitudes toward virtual reality are now more positive than negative. Moderately priced virtual reality systems are commercially available. Self-guided and fully automated programs for specific fears are new, scalable, potentially game-changing developments. Future research that assesses cultural bias and external validity will position virtual reality exposure therapy to address mental health disparities, to realize its potential to increase access to effective treatment for anxiety disorders, and to improve public health.

Evaluating the reliability of attention bias and attention bias variability measures in the dot-probe task among people with social anxiety disorder.

The dot-probe task is a widely used experimental paradigm that evaluates attention biases within anxiety disorders. Considerable research has focused on improving the reliability of dot-probe scores because the task's original attention bias index has shown very low test-retest reliability. The current study serves as a replication and extension of Price et al. (2015), who systematically examined the effects of methodological choices on reliability of dot-probe task results. Fifty-six adults diagnosed with social anxiety disorder were asked to complete a facial dot-probe task twice, approximately 1 week apart. Test-retest reliability and internal consistency were examined for 10 dot-probe attention bias indices across 55 sets of outlier cutoffs. Both Pearson's r and intraclass correlation coefficients were used. Trial-level bias score indices of mean bias toward threat and attention bias variability, which measure attention bias dynamically using individual pairs of trials, demonstrated the highest reliability and were less sensitive to changes in outlier cutoffs as compared with the dot probe's classic attention bias index and others. Results demonstrate the potential for post hoc outlier cutoff selection to artificially inflate reliability, particularly for unreliable indices. A priori cutoff selection is recommended for future research. Intraclass correlation coefficients are also recommended for assessment of reliability because Pearson's r does not account for poor agreement between scores. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Amygdala volume and social anxiety symptom severity: Does segmentation technique matter?

The amygdala factors prominently in neurobiological models of social anxiety (SA), yet amygdala volume findings regarding SA have been inconsistent and largely focused on case-control characterization. One source of discrepant findings could be variability in volumetric techniques. Therefore, we compared amygdala volumes derived via an automated technique (Freesurfer) against a manually corrected approach, also involving Freesurfer. Additionally, we tested whether the relationship between volume and SA symptom severity would differ across volumetric techniques. We pooled participants (n = 76) from archival studies. SA severity was assessed with the Liebowitz Social Anxiety Scale; scores ranged from non-clinical to clinical levels. Freesurfer produced significantly larger amygdalar volumes for participants with poor image quality. Even after excluding such participants, paired sample t-tests showed Freesurfer's boundaries produced significantly larger amygdalar volumes than manually corrected ones, bilaterally. Yet, intra-class correlation coefficients between the two methods were high, which suggests that Freesurfer's over-estimation of amygdala volume was systemic. Regardless of segmentation technique, volumes were not associated with SA symptom severity. Potentially, amygdala sub-regions may yield clearer patterns regarding SA symptoms. Further, our study underscores the importance of image quality for segmentation of the amygdala, and image quality may be particularly valuable when examining anatomical data for subtle inter-individual differences.

Changes in Dosing and Dose Timing of D-Cycloserine Explain Its Apparent Declining Efficacy for Augmenting Exposure Therapy for Anxiety-related Disorders: An Individual Participant-data Meta-analysis.

The apparent efficacy of d-cycloserine (DCS) for enhancing exposure treatment for anxiety disorders appears to have declined over the past 14 years. We examined whether variations in how DCS has been administered can account for this "declining effect". We also investigated the association between DCS administration characteristics and treatment outcome to find optimal dosing parameters. We conducted a secondary analysis of individual participant data obtained from 1047 participants in 21 studies testing the efficacy of DCS-augmented exposure treatments. Different outcome measures in different studies were harmonized to a 0-100 scale. Intent-to-treat analyses showed that, in participants randomized to DCS augmentation (n = 523), fewer DCS doses, later timing of DCS dose, and lower baseline severity appear to account for this decline effect. More DCS doses were related to better outcomes, but this advantage leveled-off at nine doses. Administering DCS more than 60 minutes before exposures was also related to better outcomes. These predictors were not significant in the placebo arm (n = 521). Results suggested that optimal DCS administration could increase pre-to-follow-up DCS effect size by 50%. In conclusion, the apparent declining effectiveness of DCS over time may be accounted for by how it has been administered. Optimal DCS administration may substantially improve outcomes. Registration: The analysis plan for this manuscript was registered on Open Science Framework (https://osf.io/c39p8/).

A meta-analytic examination of attrition in virtual reality exposure therapy for anxiety disorders.

A proposed advantage of virtual reality exposure therapy for anxiety disorders is that people will be less likely to drop out of treatment prematurely if the treatment involves facing one's fear in a virtual world rather than the real world, but this has yet to be empirically tested. The present meta-analyses assess the odds of dropout from virtual reality exposure therapy compared to in vivo exposure therapy, estimate the overall rate of dropout from virtual reality exposure treatment, and test potential moderating variables. The odds ratio meta-analysis indicated that there was no significant difference in the likelihood of attrition from virtual reality exposure therapy relative to in vivo exposure therapy. The overall attrition rate for virtual reality exposure therapy across 46 studies with a combined sample size of 1057 participants was 16%. This rate is slightly lower than other estimates of dropout from in vivo therapy and from cognitive-behavioral therapy for anxiety disorders. Incorporation of between-session intervention (i.e., homework) was identified as a moderator; specifically, inclusion of between-session interventions in the treatment was associated with better retention. Overall, the findings of the present study indicate that virtual reality exposure and in vivo exposure therapy show similar rates of attrition.

Deterioration rates in Virtual Reality Therapy: An individual patient data level meta-analysis.

Ample evidence supports the use of Virtual Reality (VR) for anxiety disorders. Nonetheless, currently there is no evidence about moderators or potential negative effects of VR treatment strategies. An Individual Patient Data (IPD) approach was employed with 15 retrieved datasets. The current study sample was composed of 810 patients. Randomized control trials (RCTs) for each primary outcome measure were performed, in addition to moderator analyses of the socio-demographic variables. Deterioration rates were 14 patients (4.0%) in VR, 8 (2.8%) in active control conditions, and 27 (15%) in the WL condition. With regard to receiving treatment, patients in a waiting list control condition had greater odds of deteriorating than in the two active conditions, odds ratios (ORs) 4.87, 95% confidence interval (CI) [0.05, 0.67]. In the case of the socio-demographic variables, none of them were associated with higher or lower odds of deterioration, with the exception of marital status in the WL condition; married people presented a significantly lower probability of deterioration, OR 0.19, 95% CI [0.05, 0.67]. Finally, when comparing pooled effects of VR versus all control conditions, the OR was 0.61 (95% CI 0.31-1.23) in favor of VR, although this result was not statistically significant. This study provides evidence about the deterioration rates of a therapeutic VR approach, showing that the number of deteriorated patients coincides with other therapeutic approaches, and that deterioration is less likely to occur, compared to patients in WL control groups.

D-Cycloserine Augmentation of Exposure-Based Cognitive Behavior Therapy for Anxiety, Obsessive-Compulsive, and Posttraumatic Stress Disorders: A Systematic Review and Meta-analysis of Individual Participant Data.

Importance: Whether and under which conditions D-cycloserine (DCS) augments the effects of exposure-based cognitive behavior therapy for anxiety, obsessive-compulsive, and posttraumatic stress disorders is unclear. Objective: To clarify whether DCS is superior to placebo in augmenting the effects of cognitive behavior therapy for anxiety, obsessive-compulsive, and posttraumatic stress disorders and to evaluate whether antidepressants interact with DCS and the effect of potential moderating variables. Data Sources: PubMed, EMBASE, and PsycINFO were searched from inception to February 10, 2016. Reference lists of previous reviews and meta-analyses and reports of randomized clinical trials were also checked. Study Selection: Studies were eligible for inclusion if they were (1) double-blind randomized clinical trials of DCS as an augmentation strategy for exposure-based cognitive behavior therapy and (2) conducted in humans diagnosed as having specific phobia, social anxiety disorder, panic disorder with or without agoraphobia, obsessive-compulsive disorder, or posttraumatic stress disorder. Data Extraction and Synthesis: Raw data were obtained from the authors and quality controlled. Data were ranked to ensure a consistent metric across studies (score range, 0-100). We used a 3-level multilevel model nesting repeated measures of outcomes within participants, who were nested within studies. Results: Individual participant data were obtained for 21 of 22 eligible trials, representing 1047 of 1073 eligible participants. When controlling for antidepressant use, participants receiving DCS showed greater improvement from pretreatment to posttreatment (mean difference, -3.62; 95% CI, -0.81 to -6.43; P = .01; d = -0.25) but not from pretreatment to midtreatment (mean difference, -1.66; 95% CI, -4.92 to 1.60; P = .32; d = -0.14) or from pretreatment to follow-up (mean difference, -2.98, 95% CI, -5.99 to 0.03; P = .05; d = -0.19). Additional analyses showed that participants assigned to DCS were associated with lower symptom severity than those assigned to placebo at posttreatment and at follow-up. Antidepressants did not moderate the effects of DCS. None of the prespecified patient-level or study-level moderators was associated with outcomes. Conclusions and Relevance: D-cycloserine is associated with a small augmentation effect on exposure-based therapy. This effect is not moderated by the concurrent use of antidepressants. Further research is needed to identify patient and/or therapy characteristics associated with DCS response.

A Case Series on the Effects of Kripalu Yoga for Generalized Anxiety Disorder.

Generalized anxiety disorder (GAD) is a prevalent psychiatric disorder associated with substantial impairment and poor treatment response. Yoga influences processes that are linked to the maintenance of GAD including mindfulness, anxiety, and heart rate variability, but has yet to be evaluated among people with the disorder. The present study is a first step toward documenting the efficacy of yoga for reducing worry among people with GAD using a single-subject AB design case series and daily ratings of worry. Standardized self-report measures of worry, trait anxiety, experiential avoidance, mindfulness, and heart rate variability were assessed pre- and post-intervention. Three participants with primary GAD received eight twice-weekly Kripalu yoga sessions following a baseline data collection period. All participants showed systematic improvement in daily worry ratings on at least one index and all scores on self-reported measures of worry, anxiety, experiential avoidance, and mindfulness changed in the expected direction following yoga (with one or two exceptions). Participants also showed improved heart rate variability during a worry period from pre- to post-intervention. Yoga has the potential to improve the processes linked to GAD and should stimulate further research in this area.