Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone App-Led Cognitive Behavioral Therapy for Depression Under Therapist Supervision: Open Trial.

BACKGROUND: Major depressive disorder affects approximately 1 in 5 adults during their lifetime and is the leading cause of disability worldwide. Yet, a minority receive adequate treatment due to person-level (eg, geographical distance to providers) and systems-level (eg, shortage of trained providers) barriers. Digital tools could improve this treatment gap by reducing the time and frequency of therapy sessions needed for effective treatment through the provision of flexible, automated support. OBJECTIVE: This study aimed to examine the feasibility, acceptability, and preliminary clinical effect of Mindset for Depression, a deployment-ready 8-week smartphone-based cognitive behavioral therapy (CBT) supported by brief teletherapy appointments with a therapist. METHODS: This 8-week, single-arm open trial tested the Mindset for Depression app when combined with 8 brief (16-25 minutes) video conferencing visits with a licensed doctoral-level CBT therapist (n=28 participants). The app offers flexible, accessible psychoeducation, CBT skills practice, and support to patients as well as clinician guidance to promote sustained engagement, monitor safety, and tailor treatment to individual patient needs. To increase accessibility and thus generalizability, all study procedures were conducted remotely. Feasibility and acceptability were assessed via attrition, patient expectations and feedback, and treatment utilization. The primary clinical outcome measure was the clinician-rated Hamilton Depression Rating Scale, administered at pretreatment, midpoint, and posttreatment. Secondary measures of functional impairment and quality of life as well as maintenance of gains (3-month follow-up) were also collected. RESULTS: Treatment credibility (week 4), expectancy (week 4), and satisfaction (week 8) were moderate to high, and attrition was low (n=2, 7%). Participants self-reported using the app or practicing (either on or off the app) the CBT skills taught in the app for a median of 50 (IQR 30-60; week 4) or 60 (IQR 30-90; week 8) minutes per week; participants accessed the app on an average 36.8 (SD 10.0) days and completed a median of 7 of 8 (IQR 6-8) steps by the week 8 assessment. The app was rated positively across domains of engagement, functionality, aesthetics, and information. Participants' depression severity scores decreased from an average Hamilton Depression Rating Scale score indicating moderate depression (mean 19.1, SD 5.0) at baseline to a week 8 mean score indicating mild depression (mean 10.8, SD 6.1; d=1.47; P<.001). Improvement was also observed for functional impairment and quality of life. Gains were maintained at 3-month follow-up. CONCLUSIONS: The results show that Mindset for Depression is a feasible and acceptable treatment option for individuals with major depressive disorder. This smartphone-led treatment holds promise to be an efficacious, scalable, and cost-effective treatment option. The next steps include testing Mindset for Depression in a fully powered randomized controlled trial and real-world clinical settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT05386329; https://clinicaltrials.gov/study/NCT05386329?term=NCT05386329.

The use of coaching in smartphone app-based cognitive behavioral therapy for body dysmorphic disorder.

Background: Body dysmorphic disorder (BDD) is severe and undertreated. Digital mental health could be key to expanding access to evidence-based treatments, such as cognitive behavioral therapy for BDD (CBT-BDD). Coach guidance is posited to be essential for effective uptake of digital interventions. However, little is known about how different patients may use coaching, what patterns correspond to meaningful outcomes, and how to match coaching to patient needs. Methods: Participants were 77 adults who received a 12-week guided smartphone CBT-BDD. Bachelor's-level coaches were available via asynchronous messaging. We analyzed the 400 messages sent by users to coaches during treatment. Message content was coded using the efficiency model of support (i.e., usability, engagement, fit, knowledge, and implementation). We aimed to clarify when and for what purposes patients with BDD used coaching, and if we can meaningfully classify patients by these patterns. We then assessed potential baseline predictors of coach usage, and whether distinct patterns relate to clinical outcomes. Results: Users on average sent 5.88 messages (SD = 4.51, range 1-20) and received 9.84 (SD = 5.74, range 2-30). Regarding frequency of sending messages, latent profile analysis revealed three profiles, characterized by: (1) peak mid-treatment (16.88 %), (2) bimodal/more communication early and late in treatment (10.39 %), and (3) consistent low/no communication (72.73 %). Regarding content, four profiles emerged, characterized by mostly (1) engagement (51.95 %), (2) fit (15.58 %), (3) knowledge (15.58 %), and (4) miscellaneous/no messages (16.88 %). There was a significant relationship between frequency profile and age, such that the early/late peak group was older than the low communication group, and frequency profile and adherence, driven by the mid-treatment peak group completing more modules than the low contact group. Regarding content, the engagement and knowledge groups began treatment with more severe baseline symptoms than the fit group. Content profile was associated with dropout, suggesting higher dropout rates in the miscellaneous/no contact group and reduced rates in the engagement group. There was no relationship between profile membership and other outcomes. Discussion: The majority of participants initiated little contact with their coach and the most common function of communications was to increase engagement. Results suggest that older individuals may prefer or require more support than younger counterparts early in treatment. Additionally, whereas individuals using coaching primarily for engagement may be at lower risk of dropping out, those who do not engage at all may be at elevated risk. Findings can support more personalized, data-driven coaching protocols and more efficient allocation of coaching resources.

Predicting response to a smartphone-based cognitive-behavioral therapy for body dysmorphic disorder.

BACKGROUND: Body dysmorphic disorder (BDD) is a severe, chronic disorder if untreated. Smartphone cognitive behavioral therapy (CBT) for BDD is efficacious and can reduce key treatment barriers (e.g., lack of clinicians, cost, stigma). While promising, little is known about who is more or less likely to benefit from this approach. METHODS: This is a secondary data analysis of a randomized, waitlist-controlled trial of smartphone CBT for BDD. Participants (N = 80) were recruited nationally and randomized to receive a 12-week, coach-guided CBT for BDD app, either immediately or after a 12-week waitlist. The main outcome for this analysis was BDD severity (BDD-YBOCS) over time (baseline, week 6, week 12) during the active app use phase in each randomized group (n = 74). Secondary outcomes included treatment response (≥30 % reduction in BDD-YBOCS) and remission (total BDD-YBOCS ≤16) at end-of-treatment. RESULTS: Immediate (vs. delayed) CBT predicted better outcomes (symptom improvement), as did gender identity (symptom improvement), higher baseline treatment credibility and expectancy (response, remission), lower baseline BDD severity (remission), and sexual minority status (vs. heterosexual; response, remission). LIMITATIONS: Limitations include the relatively small sample, drop-out rate of 22 %, and limited gender and racial-ethnic diversity. CONCLUSIONS: These results highlight a potential advantage of smartphone CBT in historically marginalized populations, and the importance of efforts to hasten treatment access, bolster confidence in the treatment at treatment onset, and develop stratified care models to optimize treatment allocation and efficacy.

Impact of sleep disruption on BDD symptoms and treatment response.

BACKGROUND: Body dysmorphic disorder (BDD) is severe, undertreated, and relatively common. Although gold-standard cognitive behavioral therapy (CBT) for BDD has strong empirical support, a significant number of patients do not respond. More work is needed to understand BDD's etiology and modifiable barriers to treatment response. Given its high prevalence and impact on the development, maintenance, and treatment of related, frequently comorbid disorders, sleep disruption is a compelling, but not-yet studied factor. METHODS: Data were drawn from a randomized controlled trial of guided smartphone app-based CBT for BDD. Included participants were offered 12-weeks of treatment, immediately (n = 40) or after a 12-week waitlist (n = 37). Sleep disruption and BDD symptom severity were assessed at baseline, week-6, and week-12. RESULTS: Hypotheses and analysis plan were pre-registered. Two-thirds of patients reported significant insomnia symptoms at baseline. Baseline severity of sleep disruption and BDD symptoms were not related (r = 0.02). Pre-treatment sleep disruption did not predict BDD symptom reduction across treatment, nor did early sleep improvements predict greater BDD symptom improvement. Early BDD symptom improvement also did not predict later improvements in sleep. LIMITATIONS: Limitations include the small sample, restricted ranges of BDD symptom severity and treatment response, and few metrics of sleep disruption. CONCLUSIONS: Although insomnia was disproportionately high in this sample and both BDD symptoms and sleep improved in treatment, results suggest sleep and BDD symptoms may function largely independent of one another. More work is encouraged to replicate and better understand findings as well as potential challenges and benefits of addressing sleep in BDD.

Characterizing observed and effective behavioral engagement with smartphone cognitive behavioral therapy for body dysmorphic disorder: A methods roadmap and use case.

Smartphone psychotherapies are growing in popularity, yet little is understood about (1) how people prefer to engage with psychotherapy apps, or (2) which engagement patterns constitute effective engagement. The present study uses secondary data from a 12-week randomized waitlist-controlled trial of smartphone-delivered cognitive behavioral therapy (CBT) for body dysmorphic disorder (BDD) (N = 77) to address these aims. Additionally, using the present study as a use-case, we seek to provide a roadmap for how researchers may improve upon methodological limitations of existing smartphone psychotherapy engagement research. We measured behavioral engagement via 19 objective variables derived from phone analytics data, which we reduced via factor analysis into two factors: 1) use volume and frequency, and 2) session duration. Cluster analysis based on engagement factors yielded three engager types, which mapped onto "deep" users, "samplers," and "light" users. The clusters did not differ significantly in improvement in BDD severity across treatment, although deep users improved more than light users at a marginally significant level. Results suggest that varying patterns of preferred engagement may be efficacious. Moreover, the study's methods provide an example of how researchers can measure and study behavioral engagement comprehensively and objectively. Trial Registration: ClinicalTrials.gov Identifier: NCT04034693.

Credibility and expectancy of smartphone-based cognitive behavioral therapy among adults with body dysmorphic disorder.

BACKGROUND: Few patients receive cognitive behavioral therapy, the gold-standard for body dysmorphic disorder (CBT-BDD). Smartphones can make evidence-based interventions, like CBT-BDD, more accessible and scalable. A key question is: how do patients view it? Low credibility and expectancy would likely translate to low uptake and engagement outside of research settings, diminishing the impact. Thus, it is important to understand patients' beliefs about digital CBT-BDD. METHODS: We compared credibility and expectancy in a coach-guided app-based CBT-BDD trial (N=75) to a previous in-person CBT-BDD trial (N = 55). We further examined the relationship of perceptions of digital CBT-BDD to baseline clinical and demographic factors and dropout. RESULTS: Credibility did not differ between the in-person (M=19.3) and digital (M=18.3) trials, p=.24. Expectancy for improvement was moderately higher for in-person (M=58.4) than digital (M=48.3) treatment, p=.005. In the digital trial, no demographic variables were associated with credibility or expectancy. Better BDD-related insight and past non-CBT BDD therapy were associated with greater expectancy. Credibility was associated with lower likelihood of dropout. DISCUSSION: Digital CBT-BDD was regarded as similarly credible to in-person CBT-BDD but with lower expectancy. Tailored expectancy-enhancing strategies could strengthen this novel approach, particularly among those with poorer insight and without prior BDD treatment.

Prospective examination of psychological risk and maintenance factors for body image distress after mastectomy with immediate breast reconstruction.

Reconstructive breast surgery aims to improve body image following mastectomy, yet many women experience ongoing body image distress (BID). The relationship between the esthetic outcome of reconstructive surgery with BID has been underexplored in mastectomy. This study aimed to assess whether reconstruction outcome following mastectomy is associated with post-surgery BID, and to examine potential psychological risk and maintenance factors for BID above reconstruction outcome. In 49 women undergoing mastectomy with immediate breast reconstruction, we prospectively assessed hypothesized pre-surgery psychological risk factors and post-surgery maintenance factors for post-surgery BID. Reconstruction outcome was assessed via blind surgeon ratings of post-surgery photographs. Surgeon-rated reconstruction outcome was uncorrelated with BID, or with patients' ratings of surgical outcome. Higher pre-surgery depressive symptoms and lower pre-surgery patient expectations for reconstruction predicted greater post-surgery BID, above reconstruction outcome. Post-surgery body checking also predicted greater BID, above reconstruction outcome. Results suggest that the medical team cannot assume their perception of reconstruction outcome matches the patient's view or degree of BID. If replicated, results point to potential psychological risk and maintenance factors that are stronger predictors of post-reconstruction BID, highlighting opportunities for light-touch prevention and intervention to reduce BID after mastectomy with breast reconstruction.

Efficacy of App-Based Cognitive Behavioral Therapy for Body Dysmorphic Disorder with Coach Support: Initial Randomized Controlled Clinical Trial.

INTRODUCTION: Body dysmorphic disorder (BDD) is severe, chronic, and undertreated. Apps could substantially improve treatment access. OBJECTIVE: We provide an initial test of the usability and efficacy of coach-supported app-based cognitive behavioral therapy (CBT) for BDD. The Perspectives app covers core treatment components: psychoeducation, cognitive restructuring, exposure with response prevention, mindfulness, attention retraining, and relapse prevention. METHODS: A randomized waitlist-controlled trial was conducted. Adults (N = 80) with primary BDD were assigned to 12 weeks of Perspectives or waitlist. Coaches promoted engagement and answered questions via in-app messaging and phone calls. BDD severity was measured at baseline, mid-treatment, and end of treatment by blinded independent evaluators (Yale-Brown Obsessive Compulsive Scale Modified for BDD; BDD-YBOCS). Secondary outcomes included BDD-related insight, depression, quality of life, and functioning. RESULTS: App uptake and satisfaction were high. In intent-to-treat analyses, Perspectives app-based CBT was associated with significantly lower BDD-YBOCS severity at end of treatment (M [SD]: 16.8 [7.5]) compared to the waitlist (26.7 [6.2]; p < 0.001, d = 1.44). App-based CBT was associated with greater improvements across all secondary measures, with medium to large effects. CONCLUSIONS: Perspectives, supported by a bachelor's-level coach, is an efficacious, scalable treatment for adults with BDD.

Human Support in App-Based Cognitive Behavioral Therapies for Emotional Disorders: Scoping Review.

BACKGROUND: Smartphone app-based therapies offer clear promise for reducing the gap in available mental health care for people at risk for or people with mental illness. To this end, as smartphone ownership has become widespread, app-based therapies have become increasingly common. However, the research on app-based therapies is lagging behind. In particular, although experts suggest that human support may be critical for increasing engagement and effectiveness, we have little systematic knowledge about the role that human support plays in app-based therapy. It is critical to address these open questions to optimally design and scale these interventions. OBJECTIVE: The purpose of this study is to provide a scoping review of the use of human support or coaching in app-based cognitive behavioral therapy for emotional disorders, identify critical knowledge gaps, and offer recommendations for future research. Cognitive behavioral therapy is the most well-researched treatment for a wide range of concerns and is understood to be particularly well suited to digital implementations, given its structured, skill-based approach. METHODS: We conducted systematic searches of 3 databases (PubMed, PsycINFO, and Embase). Broadly, eligible articles described a cognitive behavioral intervention delivered via smartphone app whose primary target was an emotional disorder or problem and included some level of human involvement or support (coaching). All records were reviewed by 2 authors. Information regarding the qualifications and training of coaches, stated purpose and content of the coaching, method and frequency of communication with users, and relationship between coaching and outcomes was recorded. RESULTS: Of the 2940 titles returned by the searches, 64 (2.18%) were eligible for inclusion. This review found significant heterogeneity across all of the dimensions of coaching considered as well as considerable missing information in the published articles. Moreover, few studies had qualitatively or quantitatively evaluated how the level of coaching impacts treatment engagement or outcomes. Although users tend to self-report that coaching improves their engagement and outcomes, there is limited and mixed supporting quantitative evidence at present. CONCLUSIONS: Digital mental health is a young but rapidly expanding field with great potential to improve the reach of evidence-based care. Researchers across the reviewed articles offered numerous approaches to encouraging and guiding users. However, with the relative infancy of these treatment approaches, this review found that the field has yet to develop standards or consensus for implementing coaching protocols, let alone those for measuring and reporting on the impact. We conclude that coaching remains a significant hole in the growing digital mental health literature and lay out recommendations for future data collection, reporting, experimentation, and analysis.

Body Image After Mastectomy Scale: A New Measure of Body Image Behaviors and Beliefs in Women Following Mastectomy.

Background: Body image distress is frequently reported by women after mastectomy and is associated with negative health outcomes, such as reduced quality of life, elevated depression and anxiety symptoms, and impaired sexual functioning. To reduce body image distress after mastectomy, we must first understand the factors that contribute to its development and maintenance. We therefore developed a new measure, the Body Image after Mastectomy Scale (BIMS), to comprehensively assess maladaptive appearance-related beliefs and behaviors (e.g., avoidance and rituals) that may trigger and maintain body image distress after mastectomy. Materials and Methods: Forty-seven female patients undergoing mastectomy with breast reconstruction completed the BIMS and other measures 3 months after breast reconstruction. Results: Evaluation of the BIMS' initial psychometric properties showed that the overall scale has good internal consistency and strong construct validity. Domain-specific subscales ranged in reliability from good to poor. Conclusions: The BIMS can be used clinically to identify cognitive and behavioral psychotherapy targets to reduce body image distress resulting from mastectomy. It can also be used in research to identify factors that contribute to the development and maintenance of body image distress after mastectomy. ClinicalTrials.gov identifier: NCT03428399.

Predictors and moderators of symptom change during cognitive-behavioral therapy or supportive psychotherapy for body dysmorphic disorder.

BACKGROUND: Research on predictors of treatment outcome in body dysmorphic disorder, a common and severe disorder, is very limited, and no prior studies have examined moderators of outcome. Because treatment is often but not always efficacious, it is important to identify who is more likely to benefit. We examined predictors and moderators of improvement with therapist-delivered cognitive-behavioral therapy versus supportive psychotherapy in the only study of these treatments for body dysmorphic disorder. This report presents secondary analyses from a study whose primary findings have previously been published (Wilhelm et al., 2019). METHODS: Participants (N=120) with DSM-IV body dysmorphic disorder were randomized to therapist-delivered weekly cognitive-behavioral therapy or supportive therapy for 24 weeks. Using reliable and valid measures, we tested baseline body dysmorphic disorder severity, insight/delusionality, and depression severity as predictors and moderators of overall and treatment modality-specific symptom change. We explored additional variables as predictors and moderators of outcome. RESULTS: Greater treatment credibility (p=0.02) and presence of obsessive-compulsive personality disorder (p=0.03) predicted greater improvement. Serotonin-reuptake inhibitor treatment at baseline (unchanged during the study) (p=0.01) predicted less improvement. No other variables predicted or moderated outcome (all p>0.05). LIMITATIONS: The study was not powered a priori to detect predictor or moderation effects, which limited our ability to detect them unless they were strong. CONCLUSIONS: Because greater treatment credibility predicted better outcomes, fostering credibility during therapy may maximize gains. Improvement was not impeded by more severe body dysmorphic disorder, depressive symptoms, or poorer insight. No variables moderated treatment-specific improvement.

Rates of remission, sustained remission, and recurrence in a randomized controlled trial of cognitive behavioral therapy versus supportive psychotherapy for body dysmorphic disorder.

BACKGROUND: Little data exist on remission rates following psychotherapy for body dysmorphic disorder (BDD). METHODS: Using data from a large study of therapist-delivered cognitive behavior therapy (CBT) versus supportive psychotherapy (SPT) for BDD (N = 120), we estimated remission rates at treatment endpoint, and rates of delayed remission, sustained remission, and recurrence at 6-month follow-up. We also examined improvement in broader mental health outcomes among remitters. RESULTS: Full or partial remission rates at end-of-treatment were significantly higher following CBT (68%) than SPT (42%). At 6-month follow-up, an additional 10% (CBT) and 14% (SPT) experienced delayed remission, 52% (CBT) and 27% (SPT) experienced sustained remission, and 20% (CBT) and 14% (SPT) experienced recurrence. Remission was never achieved by 18% (CBT) and 45% (SPT). Participants in remission at end-of-treatment experienced significant improvements in functional impairment, depression severity, BDD-related insight, and quality of life compared to nonremitters. CONCLUSIONS: Full or partial remission rates are high following CBT for BDD and higher than after SPT.

Optimizing Smartphone-Delivered Cognitive Behavioral Therapy for Body Dysmorphic Disorder Using Passive Smartphone Data: Initial Insights From an Open Pilot Trial.

BACKGROUND: Smartphone-delivered cognitive behavioral therapy (CBT) is becoming more common, but research on the topic remains in its infancy. Little is known about how people typically engage with smartphone CBT or which engagement and mobility patterns may optimize treatment. Passive smartphone data offer a unique opportunity to gain insight into these knowledge gaps. OBJECTIVE: This study aimed to examine passive smartphone data across a pilot course of smartphone CBT for body dysmorphic disorder (BDD), a psychiatric illness characterized by a preoccupation with a perceived defect in physical appearance, to inform hypothesis generation and the design of subsequent, larger trials. METHODS: A total of 10 adults with primary diagnoses of BDD were recruited nationally and completed telehealth clinician assessments with a reliable evaluator. In a 12-week open pilot trial of smartphone CBT, we initially characterized natural patterns of engagement with the treatment and tested how engagement and mobility patterns across treatment corresponded with treatment response. RESULTS: Most participants interacted briefly and frequently with smartphone-delivered treatment. More frequent app usage (r=-0.57), as opposed to greater usage duration (r=-0.084), correlated strongly with response. GPS-detected time at home, a potential digital marker of avoidance, decreased across treatment and correlated moderately with BDD severity (r=0.49). CONCLUSIONS: The sample was small in this pilot study; thus, results should be used to inform the hypotheses and design of subsequent trials. The results provide initial evidence that frequent (even if brief) practice of CBT skills may optimize response to smartphone CBT and that mobility patterns may serve as useful passive markers of symptom severity. This is one of the first studies to examine the value that passively collected sensor data may contribute to understanding and optimizing users' response to smartphone CBT. With further validation, the results can inform how to enhance smartphone CBT design.

Cognitive-Behavioral Therapy in the Digital Age: Presidential Address.

Our field has come a long way in establishing cognitive-behavioral therapy as the empirically supported treatment of choice for a wide range of mental and behavioral health problems. Nevertheless, most individuals with mental disorders do not receive any care at all, and those who do often have difficulty accessing care that is consistently high in quality. Addressing these issues is complex and costly and thus progress has been slow. We are entering an exciting stage in which emerging technologies might offer novel solutions to the treatment gap. This paper discusses a number of technology-enabled solutions to our field's challenges, including Internet-based and smartphone-based cognitive-behavioral therapy. Nevertheless, we must remain attentive to potential pitfalls of these emerging technologies. The paper incorporates suggestions for how the field may approach these potential pitfalls and provides a vision for how we might develop powerful, scalable, precisely timed, personalized interventions to enhance global mental health.

Development and Pilot Testing of a Cognitive-Behavioral Therapy Digital Service for Body Dysmorphic Disorder.

Body dysmorphic disorder (BDD) has a severe presentation and chronic course when untreated. Although effective BDD treatments exist, most individuals do not have access to them. We therefore developed and pilot tested the first smartphone-delivered individual cognitive-behavioral therapy (CBT) treatment for adults with BDD. The digital service was developed via user-centered design, integrating input from engineering, design, and psychology experts, plus BDD patient consultants. We conducted a 12-week open pilot trial (N = 10) to describe preliminary results for feasibility, acceptability, and treatment outcome. Attrition rates (0%) and feedback on usability and satisfaction indicated that smartphone-based CBT for BDD may be feasible, acceptable, and satisfactory. Initial results suggest that smartphone-based CBT for BDD may hold promise for improving BDD symptom severity, BDD-related insight, functional impairment, and quality of life, as scores from baseline to posttreatment improved with large-to-very large effects; depression improved with a medium effect. Ninety percent of participants were responders at posttreatment and 3-month follow-up. Smartphone-based CBT for BDD may have strong potential as a standardized, low cost, and accessible treatment for this debilitating illness. A test of efficacy is merited as a next step, using a well-powered, randomized control trial design.

Comparison of the Association Between Goal-Directed Planning and Self-reported Compulsivity vs Obsessive-Compulsive Disorder Diagnosis.

Importance: Dimensional definitions of transdiagnostic mental health problems have been suggested as an alternative to categorical diagnoses, having the advantage of capturing heterogeneity within diagnostic categories and similarity across them and bridging more naturally psychological and neural substrates. Objective: To examine whether a self-reported compulsivity dimension has a stronger association with goal-directed and related higher-order cognitive deficits compared with a diagnosis of obsessive-compulsive disorder (OCD). Design, Setting, and Participants: In this cross-sectional study, patients with OCD and/or generalized anxiety disorder (GAD) from across the United States completed a telephone-based diagnostic interview by a trained rater, internet-based cognitive testing, and self-reported clinical assessments from October 8, 2015, to October 1, 2017. Follow-up data were collected to test for replicability. Main Outcomes and Measures: Performance was measured on a test of goal-directed planning and cognitive flexibility (Wisconsin Card Sorting Test [WCST]) and a test of abstract reasoning. Clinical variables included DSM-5 diagnosis of OCD and GAD and 3 psychiatric symptom dimensions (general distress, compulsivity, and obsessionality) derived from a factor analysis. Results: Of 285 individuals in the analysis (mean [SD] age, 32 [12] years; age range, 18-77 years; 219 [76.8%] female), 111 had OCD; 82, GAD; and 92, OCD and GAD. A diagnosis of OCD was not associated with goal-directed performance compared with GAD at baseline (ß [SE], -0.02 [0.02]; P = .18). In contrast, a compulsivity dimension was negatively associated with goal-directed performance (ß [SE], -0.05 [0.02]; P = .003). Results for abstract reasoning task and WCST mirrored this pattern; the compulsivity dimension was associated with abstract reasoning (ß [SE], 2.99 [0.63]; P < .001) and several indicators of WCST performance (eg, categories completed: ß [SE], -0.57 [0.09]; P < .001), whereas OCD diagnosis was not (abstract reasoning: ß [SE], 0.39 [0.66]; P = .56; categories completed: ß [SE], -0.09 [0.10]; P = .38). Other symptom dimensions relevant to OCD, obsessionality, and general distress had no reliable association with goal-directed performance, WCST, or abstract reasoning. Obsessionality had a positive association with requiring more trials to reach the first category on the WCST at baseline (ß [SE], 2.92 [1.39]; P = .04), and general distress was associated with impaired goal-directed performance at baseline (ß [SE],-0.04 [0.02]; P = .01). However, unlike the key results of this study, neither survived correction for multiple comparisons or was replicated at follow-up testing. Conclusions and Relevance: Deficits in goal-directed planning in OCD may be more strongly associated with a compulsivity dimension than with OCD diagnosis. This result may have implications for research assessing the association between brain mechanisms and clinical manifestations and for understanding the structure of mental illness.

Using Digital Phenotyping to Accurately Detect Depression Severity.

Development of digital biomarkers holds promise for enabling scalable, time-sensitive, and cost-effective strategies to monitor symptom severity among those with major depressive disorder (MDD). The current study examined the use of passive movement and light data from wearable devices to assess depression severity in 15 patients with MDD. Using over 1 week of movement data, we were able to significantly assess depression severity with high precision for self-reported (r = 0.855; 95% confidence interval [CI], 0.610-0.950; p = 4.95 × 10) and clinician-rated (r = 0.604; 95% CI, 0.133-0.894; p = 0.017) symptom severity. Pending replication, the present data suggest that the use of passive wearable sensors to inform healthcare decisions holds considerable promise.

Digital biomarkers of mood disorders and symptom change.

Current approaches to psychiatric assessment are resource-intensive, requiring time-consuming evaluation by a trained clinician. Development of digital biomarkers holds promise for enabling scalable, time-sensitive, and cost-effective assessment of both psychiatric diagnosis and symptom change. The present study aimed to identify robust digital biomarkers of diagnostic status and changes in symptom severity over ~2 weeks, through re-analysis of public-use actigraphy data collected in patients with major depressive or bipolar disorder and healthy controls. Results suggest that participants' diagnostic group status (i.e., mood disorder, control) can be predicted with a high degree of accuracy (predicted correctly 89% of the time, kappa = 0.773), using features extracted from actigraphy data alone. Results also suggest that actigraphy data can be used to predict symptom change across ~2 weeks (r = 0.782, p = 1.04e-05). Through inclusion of digital biomarkers in our statistical model, which are generalizable to new samples, the results may be replicated by other research groups in order to validate and extend this work.

Self-esteem in adults with Tourette syndrome and chronic tic disorders: The roles of tic severity, treatment, and comorbidity.

BACKGROUND: Tourette syndrome (TS) and chronic tic disorders (CTD) are stigmatizing disorders that may significantly impact self-esteem. Alternatively, comorbid psychiatric illnesses may affect self-esteem more than tics themselves. Extant research on self-esteem in TS/CTD is limited, has inconsistently examined the effect of comorbidities on self-esteem, and yields mixed findings. METHOD: This study aimed to clarify the roles of tics versus comorbid diagnoses on self-esteem in a large, carefully diagnosed sample of adults with TS/CTD (N = 122) receiving 10 weeks of Comprehensive Behavioral Intervention for Tics (CBIT) or Psychoeducation and Supportive Therapy (PST). RESULTS: Baseline self-esteem did not differ between adults with TS/CTD only and normative means, whereas self-esteem was significantly lower among adults with TS/CTD with a comorbid psychiatric illness. In a multiple regression testing the baseline association between tic severity, presence of comorbid psychiatric illness, and depression severity with self-esteem, comorbidity and depression severity were significantly associated with self-esteem, whereas tic severity was not. Finally, using a generalized linear model, we tested the effects of treatment assignment, comorbidity, and their interaction on changes in self-esteem across treatment, controlling for baseline depression severity. Results showed that for those with a comorbid illness, self-esteem improved significantly more with CBIT than with PST. CONCLUSIONS: Comorbid illnesses appear to affect self-esteem more so than tics among adults with TS/CTD. Therapeutic attention should be paid to treating comorbid diagnoses alongside tics when treating TS/CTD.