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.

Clinical characteristics among sexual minority and heterosexual women with body dysmorphic disorder.

Body dysmorphic disorder (BDD) is a common disorder associated with substantial comorbidity, impairment, and poor quality of life. Research on subcultural variations of BDD is limited but may impact assessment and treatment of the disorder. The current study examined clinical features in a sample of sexual minority (SM; n = 43) and heterosexual (n = 155) women with diagnosed BDD. Participants completed self-report and clinician-administered measures of demographic and clinical characteristics. Results indicated largely similar clinical features across groups with some exceptions: compared to non-SM women, SM women were younger (M = 25.50 vs 31.96 years, p < .001), had better BDD-related insight (M = 14.51 vs 16.26, p = .01), endorsed a greater number of disliked body parts, and were more likely to express preoccupation with body build (OR = 4.6, 95% CI [2.0, 10.9]), chin/jaw (OR = 4.7, 95% CI [2.1, 10.3]), and shoulders (OR = 10.1, 95% CI [2.7, 37.9]), possibly reflecting nuanced beauty ideals within the SM community. There were no significant group differences in other body parts of concern, BDD severity, or depression. Future studies are needed in larger, more inclusive samples to explore the relationship between diverse identities on BDD and its associated features.

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.

Predicting college student prescription stimulant misuse: An analysis from ecological momentary assessment.

Prescription stimulant misuse (PSM) is common in young adult college students, at over 10% in the past year, and it is associated with other substance use and risk behaviors. Research focused on the real-time drivers of PSM is absent, impeding prevention and intervention. This research aimed to fill that gap by examining the relationships between affect, global stress, or academic stress and PSM via ecological momentary assessment (EMA); we also investigated baseline predictors of PSM frequency during the 21-day EMA period. Forty-one full-time college students (mean age: 20.5, 66% female) who endorsed current PSM (≥ 6 past-year episodes) participated. Participants were asked to complete EMA questions in response to 3 daily investigator-initiated prompts and after every PSM episode. Assessments were selected based on affect regulation (e.g., positive affect [PA], negative affect [NA]) and drug instrumentalization (e.g., academic stress and/or demands) theories of substance use. Mixed-effects linear models examined EMA data, and negative binomial regression analyses examined baseline predictors of PSM episode frequency. PA was higher on PSM days and increased post-PSM, whereas NA was unrelated to PSM. Although global and academic stress were largely unrelated to PSM, when the motive endorsed for PSM was "to study," pre-PSM ratings of academic demand and stress were significantly higher. Finally, a history of recreational motives (e.g., to get high) or higher levels of attention-deficit/hyperactivity disorder symptoms predicted a greater number of PSM episodes over the EMA period. The results offered mixed support for both affect regulation and instrumentalization as applied to PSM. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Prescription drug misuse, other substance use, and sexual identity: The significance of educational status and psychological distress in US young adults.

BACKGROUND: The aim was to examine the effects of sexual identity, educational status, and their interaction on the past-year prevalence of controlled prescription use and prescription drug misuse (PDM) in U.S. young adults, 18-25 years. Methods: Data were from the 2015-2017 National Survey on Drug Use and Health (young adult N = 38,298). Past-year prescription opioid, stimulant and benzodiazepine use and PDM were outcomes, with PDM defined as use without a prescription or in ways not intended by the prescriber. Separate regressions by sex evaluated the relationship between prescription medication use or PDM prevalence and sexual identity, educational status/attainment (college student/graduate versus non-college), their interaction and past-year psychological distress. Results: Sexual identity minority young adults had higher rates of prescription use and PDM than heterosexual young adults. After accounting for educational status, though, bisexual men rarely differed from heterosexual men; after including psychological distress, gay men rarely differed from heterosexual men. Versus heterosexual women, lesbian (adjusted odds ratio [AOR] = 2.33, 95% confidence interval [95% CI] = 1.47-2.30) and bisexual (AOR= 1.78, 95% CI = 1.27-2.50) young adult women had higher rates of prescription opioid misuse, after adjusting for educational status, psychological distress and sociodemographics. Versus heterosexual men, benzodiazepine PDM was elevated in gay men (AOR = 1.91, 95% CI= 1.02-3.58). Educational status was generally associated with lower rates of prescription use and PDM, except for stimulant PDM. Conclusions: Screening for psychological distress and PDM is needed in sexual identity minority young adults, especially for prescription opioid misuse among sexual identity minority women. Culturally-sensitive intervention should be considered for those with elevated psychological distress or signs of PDM. Further research on the sex differences found in the link between psychological distress and sexual identity minority opioid and stimulant PDM is warranted.

Prescription Drug Misuse: Taking a Lifespan Perspective.

Prescription drug misuse (PDM), or medication use without a prescription or in ways not intended by the prescriber, is a notable public health concern, especially in the United States. Accumulating research has characterized PDM prevalence and processes, but age-based or lifespan changes in PDM are understudied. Given age-based differences in the medical or developmental concerns that often underlie PDM, it is likely that PDM varies by age. This review summarizes the literature on PDM across the lifespan, examining lifespan changes in prevalence, sources, motives and correlates for opioid, stimulant, and tranquilizer/sedative (or benzodiazepine) PDM. In all, prevalence rates, sources and motives vary considerably by age group, with fewer age-based differences in correlates or risk factors. PDM prevalence rates tend to decline with aging, with greater use of physician sources and greater endorsement of self-treatment motives in older groups. Recreational motives (such as to get high) tend to peak in young adulthood, with greater use of peer sources or purchases to obtain medication for PDM in younger groups. PDM co-occurs with other substance use and psychopathology, including suicidality, across age groups. The evidence for lifespan variation in PDM is strongest for opioid PDM, with a need for more research on tranquilizer/sedative and stimulant PDM. The current literature is limited by the few studies of lifespan changes in PDM within a single sample, a lack of longitudinal research, little research addressing PDM in the context of polysubstance use, and little research on minority groups, such as sexual and gender minorities.

The dynamic relationship between daily caffeine intake and sleep duration in middle-aged and older adults.

The effect of caffeine on sleep has been well documented. However, most studies examined this relationship in laboratories or used a cross-sectional design analysing between-person differences. This study investigated the within-person relationship between caffeine intake and sleep duration at home. In a national database, 377 participants (aged 35-85 years) completed a 7-day diary study. Sleep duration was measured by Actigraphy and caffeine intake was self-reported in sleep logs. Three analytic strategies were used. The average sleep duration and the average caffeine intake were not significantly correlated. Multilevel regressions using daytime caffeine intake to predict night-time sleep, and using night-time sleep to predict next day caffeine intake, also did not detect any significant effect. Then dynamical systems analysis was performed, where the daily change rate and change tendency of caffeine and sleep were estimated, and the relationship among these momentums was examined. Results revealed a significant effect of sleep duration on the change tendency of caffeine use: a shorter sleep duration predicted a stronger tendency to consume caffeine, and this phenomenon was only found in middle-aged adults (aged 35-55 years) not in older adults (aged 55+). This study did not detect any effect of daily caffeine intake on sleep duration, implying that habitual use of caffeine in real life may not coincide with laboratory findings, and that using caffeine to compensate for sleep loss is the habit of middle-aged adults, not the elderly. The advantage of using a dynamic approach to analyse interrelated processes with uncertain time lags is also highlighted.

Health beliefs, behaviors, and symptoms associated with orthorexia nervosa.

PURPOSE: This research explored whether symptoms of orthorexia nervosa (ON), a condition involving obsessive thoughts and compulsive behaviors regarding healthy eating, are associated with differences pertaining to use of nutritional supplements and complementary and alternative medicine (CAM) techniques, to health locus of control, and to symptoms of poor physical health. METHOD: An anonymous online survey assessing the variables above was completed by college students at a university in the southern United States: 47 in the ON symptoms group, 50 in the healthy-eating control group, and 83 in the normal-eating control group. RESULTS: Compared to both control groups, the ON symptoms group reported greater supplement use and CAM participation, more reasons for these behaviors for the purpose of improving psychological health (i.e., to increase energy, enhance focus, and improve mood), and greater symptoms associated with poor physical health. None of the groups differed on internal or external health locus of control. CONCLUSION: For those with ON, "healthy" eating behaviors are accompanied by other health behaviors that include supplement use and CAM activities. However, despite their goal of achieving perfect health, these individuals experience diminished physical health with symptoms that may be related to their severe dietary restrictions. LEVEL OF EVIDENCE: Level V, descriptive cross-sectional study.