The Relationship between Perceived Social Support and Severity of Body Dysmorphic Disorder Symptoms: The Role of Gender

OBJECTIVE: Whether social support is associated with severity of body dysmorphic symptoms is unknown. To address this gap in the literature, the present study aims to examine the association between three domains of perceived social support (i.e., family, friends, and significant others) and severity of body dysmorphic disorder symptoms. METHOD: Participants (N = 400) with symptoms consistent with diagnosis of body dysmorphic disorder completed measures of symptomatology and social support via the internet. RESULTS: More perceived social support from friends and significant others was associated with less severe body dysmorphic disorder symptoms for males, and more perceived social support from family and friends was associated with less severe body dysmorphic disorder symptoms among females. Additionally, gender moderated the association between perceived social support from significant others and symptom severity, such that perceived social support from a significant other was significantly negatively associated with body dysmorphic symptom severity in males, but not females. CONCLUSION: The present study implicates social support as an important area of future body dysmorphic disorder research

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

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

BackgroundSmartphone 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. ObjectiveThe 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. MethodsWe 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. ResultsOf 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. ConclusionsDigital 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

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: NCT0403469