Medical Spending Among US Households With Children With a Mental Health Condition Between 2017 and 2021.

This cross-sectional study examines US household medical spending for children with a mental health condition between 2017 and 2021.

Impact of Online Group Psychoeducation and Support Sessions on Receptivity Towards Digital Mental Health Care During the COVID-19 Pandemic: A Pilot Study.

While social distancing was crucial to slow the COVID-19 virus, it also contributed to social isolation and emotional strain. This pilot study evaluated the impact of stand-alone psychoeducational group sessions designed to build social connectedness and space for people to learn about mental health during the pandemic. The study examined if offering the stand-alone group sessions increased uptake of and receptivity to additional mental health services. People had access to free, online group psychoeducational sessions offered by a digital mental health platform company. Sessions were offered to (1) employees who had mental health benefits offered through their employer, and to (2) members of the general public. Session formats included discussions, didactic lectures, and workshops, were facilitated by a mental health provider, and used live video conference technology. Topics included race and identity, stress management, coping with political events, relationship issues, and self-compassion. First-time session registrations were tracked from June 2020 to July 2021 on 6723 participants (3717 benefits-eligible employees and 3006 from the general public). Among the employee subsample, 49.5% attended a group session as their first use of any available service on the platform; 52.5% of these employees sought additional services after their first session. In anonymous post-session surveys of employees and members of the general public, 86% of respondents endorsed knowledge increases, 79.5% reported improved understanding of their mental health, 80.3% endorsed gaining actionable steps to improve mental health, 76.5% said that they would consider group sessions in addition to therapy, and 43.5% said that they would consider group sessions instead of therapy. These results suggest that scalable, brief group psychoeducational sessions are a useful conduit to mental health care and have potential to reach people who may not otherwise access available mental health services.

Real world effectiveness of digital mental health services during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic created an unprecedented need for mental health services that can be remotely delivered. Digital mental health services that offer personalized care recommendations hold promise to efficiently expand service, but evidence of the effectiveness of digitally delivered mental health care in real-world settings remains limited. METHODS: A retrospective cohort of adults (N = 1,852) receiving care through a digital mental health platform with elevated depressive symptoms during the COVID-19 pandemic was analyzed to estimate changes in subjective well-being and clinical improvement in depressive symptoms (using the World Health Organization-Five [WHO-5] Well-Being Index), as well as compare the relative effectiveness and cost of different care utilization patterns. RESULTS: The average improvement in WHO-5 score was 10.1 points (CI: 9.3-10.9, p<0.001) at follow-up, which constituted a medium effect size (d = 0.73). The odds of clinical improvement in depressive symptoms were significantly greater among those who utilized telecoaching (aOR = 2.45, 95%CI: 1.91-3.15, p < .001), teletherapy (aOR = 2.01, 95%CI: 1.57-2.57, p < .001), and both services (aOR = 2.28, 95%CI: 1.67-3.11, p < .001) compared to those who only utilized assessments, adjusting for baseline WHO-5 score, age, sex, and number of days between baseline and follow-up assessments. The average estimated cost of care for telecoaching was $124 per individual, which was significantly less than teletherapy ($413) or both services ($559). CONCLUSION: Digitally delivered care with a therapist and/or coach was effective in improving subjective well-being and clinical improvement in depressive symptoms. Although clinical outcomes were similar across utilization patterns, the cost of care was lowest among those utilizing telecoaching.

Understanding Components of Therapeutic Alliance and Well-Being from Use of a Global Digital Mental Health Benefit During the COVID-19 Pandemic: Longitudinal Observational Study.

Digital mental health services leverage technology to increase access to care, yet less is known about the quality of therapeutic relationships in a virtual setting. This study examined components of therapeutic alliance (a mechanism underlying successful treatment) and its association with beneficial treatment outcomes in a real-world, virtual setting. The objective is to examine (1) participant ratings of components of therapeutic alliance with providers in a virtual setting, (2) changes in subjective well-being and depressive symptoms among participants who began care with elevated depressive symptoms, and (3) the association between components of alliance and changes in participants' well-being. Adults (N = 3,087, M age = 36 ± 9 years, 54% female) across the world with access to digital mental health benefits who engaged in videoconference sessions with a licensed therapist (18%, 555/3,087), certified coach (65%, 2,003/3,087), or both (17%, 529/3,087) between Sept. 29, 2020 and Oct. 12, 21. Participants completed 2 adapted items from the Working Alliance Inventory (goals and bonds subscales) after each session, and ratings were averaged across visits (Cronbach's ɑ = .72). Participants' World Health Organization-Five (WHO-5) Well-Being Index scores at the start and end of the study period were used to measure changes in subjective well-being. Descriptive and inferential statistics were conducted to examine average alliance ratings across demographics and utilization types and the association between alliance and well-being. The median adapted therapeutic alliance score was 4.8 (range: 1-5) and did not differ by age, country, or baseline well-being (Ps > .07). Females reported higher components of alliance than males (4.88 vs. 4.67, P = .01). Participants utilizing telecoaching reported higher components of alliance than those utilizing teletherapy or both telecoaching and teletherapy (4.83 v. 4.75, P = .004), though effect sizes were negligible. Among those with elevated baseline depressive symptoms (n = 835), participants reported an average WHO-5 increase of 15.42 points (95% CI 14.19-16.65, P < .001, Cohen d = 1.06) with 58% (485/835) reporting clinical recovery and 57% (481/835) reporting clinical improvement in depressive symptoms. Higher components of therapeutic alliance scores predicted greater well-being at follow-up (b = 2.04, 95% CI 0.09-3.99, P = .04) after controlling for age, sex, baseline WHO-5, and number of days in care (R 2 = .06, P < .001). Exploratory analyses indicated this association did not differ by utilization type, baseline well-being, or session utilization (Ps > .34). People with access to one-on-one videoconferencing care via a digital mental health benefit formed a strong bond and sense of alignment on goals with both coaches and therapists. Higher components of alliance scores were associated with improvements in subjective well-being among participants who began care with elevated depressive symptoms, providing evidence that a positive bond and goal alignment with a provider are two of many factors influencing virtual care outcomes. Continued focus on the quality of therapeutic relationships will ensure digital mental health services are patient-tailored as these platforms expand equitable access to evidence-based care.

Effectiveness of Evidence-Based Telecoaching Delivered Through an Employer-Sponsored Mental Health Benefits Platform.

Introduction: Coaches delivering telemental health services as part of an employer-sponsored benefit may increase access to affordable and effective care. We examined the effectiveness of evidence-based telecoaching delivered via videoconferencing to people requesting mental health services during the coronavirus disease 2019 (COVID-19) pandemic. Materials and Methods: We analyzed data from 1,228 employees (mean age = 35 ± 8 years; 67.2% female) who utilized telecoaching through the Modern Health benefits platform between March 11, 2020 and March 11, 2021. We used paired samples t tests to examine changes in well-being, burnout, absenteeism, and presenteeism before and after telecoaching and moderated regressions to test whether these changes depended on visit utilization. We analyzed rates of clinical improvement for well-being and reduction from entry in symptoms for burnout. We conducted analyses in the full sample and participants presenting with elevated symptoms at baseline. Results: Participants utilized an average of 2.6 visits. Well-being (p = 0.02) significantly increased, while both presenteeism (p < 0.001) and absenteeism (p < 0.001) significantly decreased at follow-up in our full sample, but represented negligible effect sizes. Burnout was not found to have significantly changed at follow-up in our full sample (p = 0.69). In participants beginning care with elevated depressive-related symptoms, well-being significantly increased (p < 0.001) and 46.3% experienced a clinically relevant improvement. In participants beginning care with elevated levels of burnout, burnout significantly decreased (p < 0.001) and 20.9% experienced a reduction in symptoms from entry. Conclusions: Leveraging videoconferencing, telecoaching had positive effects on mental health and workplace outcomes, even during the COVID-19 pandemic. Evidence-based telecoaching represents a promising option for achieving optimal outcomes in people who need mental health services.

Child and family predictors of relative weight change in a low-income, school-based weight management intervention.

Introduction: Minority and low-income children are underrepresented in school-based weight management programs despite higher risk of obesity and the external contexts that influence their success are largely unknown. This study examines predictors of weight outcomes following the socioecological model in a school-based weight management intervention implemented in an elementary school serving primarily low-income, Black youth. Methods: Children (n = 145; ages 4-9) participated in an 8-month school-based weight management intervention that included components to increase physical activity, promote healthy eating, and engage parents. Children had height and weight measured at baseline and postprogram and parents completed questionnaires at baseline. Socioecological predictors (e.g., child demographic, parent beliefs and attitudes, family and home environment, and social contexts of the family) of zBMI change were assessed using linear regressions. Results: Weight change over the program differed by baseline weight status such that children with obesity lost weight, while children of healthy weight and with overweight gained weight. Children who were younger and had healthier family food choices at baseline were better able to maintain their weight, whereas children from food insecure families gained weight. Discussion: Children of different weight categories from low-income families vary in their response to universally delivered school-based weight management programs. Future work should consider how to address needs of children from different weight classes as well as to effectively target children with risk factors for excessive weight gain (e.g., older, food insecure, less healthful food choices), which may involve broader or more integrative approaches. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Assessing the Care Modality Preferences and Predictors for Digital Mental Health Treatment Seekers in a Technology-Enabled Stepped Care Delivery System: Cross-sectional Study.

BACKGROUND: Access to mental health services continues to be a systemic problem in the United States and around the world owing to a variety of barriers including the limited availability of skilled providers and lack of mental health literacy among patients. Individuals seeking mental health treatment may not be aware of the multiple modalities of digital mental health care available to address their problems (eg, self-guided and group modalities, or one-to-one care with a provider). In fact, one-to-one, in-person treatment is the dominant care model with a masters- or doctoral-level trained mental health provider, and it may or may not be the appropriate or preferred level of care for an individual. Technology-enabled mental health platforms may be one way to improve access to mental health care by offering stepped care, but more research is needed to understand the care modality preferences of digital mental health care seekers because additional modalities become increasingly validated as effective treatment options. OBJECTIVE: The purpose of this study was to describe and evaluate the predictors of care modality preferences among individuals enrolled in a technology-enabled stepped mental health care platform. METHODS: This exploratory, cross-sectional study used employee data from the 2021 Modern Health database, an employer-sponsored mental health benefit that uses a technology-enabled platform to optimize digital mental health care delivery. Chi-square tests and one-way analysis of variance (ANOVA) were conducted to evaluate associations among the categorical and continuous factors of interest and the preferred care modality. Bivariate logistic regression models were constructed to estimate the odds ratios (ORs) of preferring a one-on-one versus self-guided group, or no preference for digital mental health care modalities. RESULTS: Data were analyzed for 3661 employees. The most common modality preference was one-on-one care (1613/3661, 44.06%). Approximately one-fourth of the digital mental health care seekers (881/3661, 24.06%) expressed a preference for pursuing self-guided care, and others (294/3661, 8.03%) expressed a preference for group care. The ORs indicated that individuals aged 45 years and above were significantly more likely to express a preference for self-guided care compared to individuals aged between 18 and 24 years (OR 2.47, 95% CI 1.70-3.59; P<.001). Individuals screening positive for anxiety (OR 0.73, 95% CI 0.62-0.86; P<.001) or depression (OR 0.79, 95% CI 0.66-0.95; P=.02) were more likely to prefer one-on-one care. CONCLUSIONS: Our findings elucidated that care modality preferences vary and are related to clinical severity factors and demographic variables among individuals seeking digital mental health care.

Design Thinking in Health Care.

INTRODUCTION: Applying Design Thinking to health care could enhance innovation, efficiency, and effectiveness by increasing focus on patient and provider needs. The objective of this review is to determine how Design Thinking has been used in health care and whether it is effective. METHODS: We searched online databases (PubMed, Medline, Web of Science, CINAHL, and PyscINFO) for articles published through March 31, 2017, using the terms "health," "health care," or "healthcare"; and "Design Thinking," "design science," "design approach," "user centered design," or "human centered design." Studies were included if they were written in English, were published in a peer-reviewed journal, provided outcome data on a health-related intervention, and used Design Thinking in intervention development, implementation, or both. Data were collected on target users, health conditions, intervention, Design Thinking approach, study design or sample, and health outcomes. Studies were categorized as being successful (all outcomes improved), having mixed success (at least one outcome improved), or being not successful (no outcomes improved). RESULTS: Twenty-four studies using Design Thinking were included across 19 physical health conditions, 2 mental health conditions, and 3 systems processes. Twelve were successful, 11 reported mixed success, and one was not successful. All 4 studies comparing Design Thinking interventions to traditional interventions showed greater satisfaction, usability, and effectiveness. CONCLUSION: Design Thinking is being used in varied health care settings and conditions, although application varies. Design Thinking may result in usable, acceptable, and effective interventions, although there are methodological and quality limitations. More research is needed, including studies to isolate critical components of Design Thinking and compare Design Thinking-based interventions with traditionally developed interventions.

Sleep Patterns and Quality Are Associated with Severity of Obesity and Weight-Related Behaviors in Adolescents with Overweight and Obesity.

BACKGROUND: Inadequate sleep duration, sleep patterns, and sleep quality have been associated with metabolic, circadian, and behavioral changes that promote obesity. Adolescence is a period during which sleep habits change to include less sleep, later bedtimes, and greater bedtime shift (e.g., difference between weekend and weekday bedtime). Thus, sleep may play a role in adolescent obesity and weight-related behaviors. This study assesses sleep duration, quality, and schedules and their relationships to relative weight and body fat percentage as well as diet, physical activity, and screen time in adolescents with overweight/obesity. METHODS: Adolescents between 12 and 17 years old (n = 186) were weighed and measured, reported typical sleep and wake times on weekdays and weekends, and responded to questionnaires assessing diet, physical activity, and screen time habits. RESULTS: Controlling for sleep duration, later weekend bedtime and greater bedtime shift were associated with greater severity of overweight (ß = 0.20; ß = 0.16) and greater screen time use (ß = 0.22; ß = 0.2). Later bedtimes on the weekdays and weekends were associated with fewer healthy diet practices (ß = -0.26; ß = -0.27). In addition, poorer sleep quality was associated with fewer healthy diet habits (ß = -0.21), greater unhealthy diet habits (ß = 0.15), and less physical activity (ß = -0.22). Sleep duration was not associated with any weight or weight-related behavior. CONCLUSIONS: Sleep patterns and quality are associated with severity of overweight/obesity and various weight-related behaviors. Promoting a consistent sleep schedule throughout the week may be a worthwhile treatment target to optimize behavioral and weight outcomes in adolescent obesity treatment.

Universal prevention efforts should address eating disorder pathology across the weight spectrum: Implications for screening and intervention on college campuses.

PURPOSE: Given shared risk and maintaining factors between eating disorders and obesity, it may be important to include both eating disorder intervention and healthy weight management within a universal eating disorder care delivery program. This study evaluated differential eating disorder screening responses by initial weight status among university students, to assess eating disorder risk and pathology among individuals with overweight/obesity versus normal weight or underweight. METHODS: 1529 individuals were screened and analyzed. Screening was conducted via pilot implementation of the Internet-based Healthy Body Image program on two university campuses. RESULTS: Fifteen percent of the sample had overweight/obesity. Over half (58%) of individuals with overweight/obesity screened as high risk for an eating disorder or warranting clinical referral, and 58% of individuals with overweight/obesity endorsed a ≥10-pound weight change over the past year. Compared to individuals with normal weight or underweight, individuals with overweight/obesity were more likely to identify as Black, endorse objective binge eating and fasting, endorse that eating disorder-related concerns impaired their relationships/social life and made them feel badly, and endorse higher weight/shape concerns. CONCLUSIONS: Results suggest rates of eating disorder pathology and clinical impairment are highest among students with overweight/obesity, and targeted intervention across weight categories and diverse races/ethnicities is warranted within universal eating disorder intervention efforts. Integrating eating disorder intervention and healthy weight management into universal prevention programs could reduce the incidence and prevalence of eating disorders, unhealthy weight control practices, and obesity among university students.

Improving access and systems of care for evidence-based childhood obesity treatment: Conference key findings and next steps.

OBJECTIVE: To improve systems of care to advance implementation of the U.S. Preventive Services Task Force recommendations for childhood obesity treatment (i.e., clinicians offer/refer children with obesity to intensive, multicomponent behavioral interventions of >25 h over 6 to 12 months to improve weight status) and to expand payment for these services. METHODS: In July 2015, 43 cross-sector stakeholders attended a conference supported by the Agency for Healthcare Research and Quality, American Academy of Pediatrics Institute for Healthy Childhood Weight, and The Obesity Society. Plenary sessions presenting scientific evidence and clinical and payment practices were interspersed with breakout sessions to identify consensus recommendations. RESULTS: Consensus recommendations for childhood obesity treatment included: family-based multicomponent behavioral therapy; integrated care model; and multidisciplinary care team. The use of evidence-based protocols, a well-trained healthcare team, medical oversight, and treatment at or above the minimum dose (e.g., >25 h) are critical components to ensure effective delivery of high-quality care and to achieve clinically meaningful weight loss. Approaches to secure reimbursement for evidence-based obesity treatment within payment models were recommended. CONCLUSIONS: Continued cross-sector collaboration is crucial to ensure a unified approach to increase payment and access for childhood obesity treatment and to scale up training to ensure quality of care.

Decreasing food fussiness in children with obesity leads to greater weight loss in family-based treatment.

OBJECTIVE: Food fussiness (FF), or the frequent rejection of both familiar and unfamiliar foods, is common among children and, given its link to poor diet quality, may contribute to the onset and/or maintenance of childhood obesity. This study examined child FF in association with anthropometric variables and diet in children with overweight/obesity participating in family-based behavioral weight loss treatment (FBT). Change in FF was assessed in relation to FBT outcome, including whether change in diet quality mediated the relation between change in FF and change in child weight. METHODS: Child (N = 170; age = 9.41 ± 1.23) height and weight were measured, and parents completed FF questionnaires and three 24-h recalls of child diet at baseline and post-treatment. Healthy Eating Index-2005 scores were calculated. RESULTS: At baseline, child FF was related to lower vegetable intake. Average child FF decreased from start to end of FBT. Greater decreases in FF were associated with greater reductions in child body mass index and improved overall diet quality. Overall, diet quality change through FBT mediated the relation between child FF change and child body mass index change. CONCLUSIONS: Children with high FF can benefit from FBT, and addressing FF may be important in childhood obesity treatment to maximize weight outcomes.

Reduction in food away from home is associated with improved child relative weight and body composition outcomes and this relation is mediated by changes in diet quality.

BACKGROUND: Reducing consumption of food away from home is often targeted during pediatric obesity treatment, given the associations with weight status and gain. However, the effects of this dietary change on weight loss are unknown. OBJECTIVE: Our aim was to evaluate associations between changes in dietary factors and child anthropometric outcomes after treatment. It is hypothesized that reduced consumption of food away from home will be associated with improved dietary intake and greater reductions in anthropometric outcomes (standardized body mass index [BMI] and percent body fat), and the relationship between food away from home and anthropometric outcomes will be mediated by improved child dietary intake. DESIGN: We conducted a longitudinal evaluation of associations between dietary changes and child anthropometric outcomes. Child diet (three 24-hour recalls) and anthropometric data were collected at baseline and 16 weeks. PARTICIPANTS/SETTING: Participants were 170 overweight and obese children ages 7 to 11 years who completed a 16-week family-based behavioral weight-loss treatment as part of a larger multi-site randomized controlled trial conducted in two cohorts between 2010 and 2011 (clinical research trial). INTERVENTION: Dietary treatment targets during family-based behavioral weight-loss treatment included improving diet quality and reducing food away from home. MAIN OUTCOME MEASURES: The main outcome measures in this study were child relative weight (standardized BMI) and body composition (percent body fat). STATISTICAL ANALYSES: We performed t tests and bootstrapped single-mediation analyses adjusting for relevant covariates. RESULTS: As hypothesized, decreased food away from home was associated with improved diet quality and greater reductions in standardized BMI (P<0.05) and percent body fat (P<0.01). Associations between food away from home and anthropometric outcomes were mediated by changes in diet quality. Specifically, change in total energy intake and added sugars mediated the association between change in food away from home and standardized BMI, and change in overall diet quality, fiber, added sugars, and added fats mediated the association between change in food away from home and percent body fat. Including physical activity as a covariate did not significantly impact these findings. CONCLUSIONS: These results suggest that reducing food away from home can be an important behavioral target for affecting positive changes in both diet quality and anthropometric outcomes during treatment.

Recent Updates on the Efficacy of Group Based Treatments for Pediatric Obesity.

BACKGROUND: There is limited research on optimal treatment formats for childhood obesity. Group-based interventions are popular, but it is unclear whether outcomes can be obtained without an additional individual component. AIM: To examine statistically and clinically significant outcomes of recent group-based and mixed-format (group + Individual) pediatric obesity interventions. METHODS: Effect sizes and magnitudes of weight change were calculated for studies published between January 2013 and September 2014. RESULTS: Approximately half of the group-based studies reviewed produced significant results compared to control, and effect sizes were small. Mixed-format studies were less likely to include a control group, but those that did evidenced medium to large effects. Magnitudes of weight change post-intervention were generally greater in mixed-format studies than group-only studies. CONCLUSIONS: Recent studies in pediatric obesity interventions suggest including an individual component in a group-based intervention produces optimal outcomes. Future research should directly compare group-only and mixed formats to confirm this observation.

Identification as overweight by medical professionals: relation to eating disorder diagnosis and risk.

PURPOSE: Discussions about weight between medical professionals and young adults may increase risk of eating disorders (EDs). Clarifying the relation between screening for overweight and ED risk is needed. METHODS: 548 college-age women were classified as at-risk (n=441) or with an ED (n=107), and were assessed for disordered eating attitudes, behaviors, and relevant history, including, "Has a doctor, nurse, or other medical professional ever told you that you were overweight?" Regression analyses were used to evaluate the relations between being identified as overweight and current disordered eating behaviors, attitudes, and ED diagnosis, without and with covariates (history of weight-related teasing, history of an ED, family history of being identified as overweight, and current body mass index). RESULTS: 146 (26.6%) women reported being previously identified as overweight by a medical professional. There was no relation between being previously identified as overweight and having an ED. Those identified as overweight were more likely to have weight/shape concerns above a high-risk cutoff, but showed no difference in dietary restraint, binge eating, purging behaviors, or excessive exercise compared to those not identified. CONCLUSIONS: Being previously identified as overweight by a medical professional was associated with increased weight/shape concerns but not with current disordered eating behaviors or ED status. Minimizing the potential negative effects of overweight screening on weight and shape concerns by providing patients with strategies to increase healthy lifestyle behaviors and long-term support for healthy weight loss goals may have a positive impact on reducing the public health problem of overweight and obesity.

Evidence update on the treatment of overweight and obesity in children and adolescents.

Childhood obesity is associated with increased medical and psychosocial consequences and mortality and effective interventions are urgently needed. Effective interventions are urgently needed. This article reviews the evidence for psychological treatments of overweight and obesity in child and adolescent populations. Studies were identified through searches of online databases and reference sections of relevant review articles and meta-analyses. Treatment efficacy was assessed using established criteria, and treatments were categorized as well-established, probably efficacious, possibly efficacious, experimental, or of questionable efficacy. Well-established treatments included family-based behavioral treatment (FBT) and Parent-Only Behavioral Treatment for children. Possibly efficacious treatments include Parent-Only Behavioral Treatment for adolescents, FBT-Guided Self-Help for children, and Behavioral Weight Loss treatment with family involvement for toddlers, children, and adolescents. Appetite awareness training and regulation of cues treatments are considered experimental. No treatments are considered probably efficacious, or of questionable efficacy. All treatments considered efficacious are multicomponent interventions that include dietary and physical activity modifications and utilize behavioral strategies. Treatment is optimized if family members are specifically targeted in treatment. Research supports the use of multicomponent lifestyle interventions, with FBT and Parent-Only Behavioral Treatment being the most widely supported treatment types. Additional research is needed to test a stepped care model for treatment and to establish the ideal dosage (i.e., number and length of sessions), duration, and intensity of treatments for long-term sustainability of healthy weight management. To improve access to care, the optimal methods to enhance the scalability and implementability of treatments into community and clinical settings need to be established.

Self-regulatory depletion enhances neural responses to rewards and impairs top-down control.

To be successful at self-regulation, individuals must be able to resist impulses and desires. The strength model of self-regulation suggests that when self-regulatory capacity is depleted, self-control deficits result from a failure to engage top-down control mechanisms. Using functional neuroimaging, we examined changes in brain activity in response to viewing desirable foods among 31 chronic dieters, half of whom completed a task known to result in self-regulatory depletion. Compared with nondepleted dieters, depleted dieters exhibited greater food-cue-related activity in the orbitofrontal cortex, a brain area associated with coding the reward value and liking aspects of desirable foods; they also showed decreased functional connectivity between this area and the inferior frontal gyrus, a region commonly implicated in self-control. These findings suggest that self-regulatory depletion provokes self-control failure by reducing connectivity between brain regions that are involved in cognitive control and those that represent rewards, thereby decreasing the capacity to resist temptations.

Psychological treatments for binge eating disorder.

Binge eating disorder (BED) is the most prevalent eating disorder in adults, and individuals with BED report greater general and specific psychopathology than non-eating disordered individuals. The current paper reviews research on psychological treatments for BED, including the rationale and empirical support for cognitive behavioral therapy (CBT), interpersonal psychotherapy (IPT), dialectical behavior therapy (DBT), behavioral weight loss (BWL), and other treatments warranting further study. Research supports the effectiveness of CBT and IPT for the treatment of BED, particularly for those with higher eating disorder and general psychopathology. Guided self-help CBT has shown efficacy for BED without additional pathology. DBT has shown some promise as a treatment for BED, but requires further study to determine its long-term efficacy. Predictors and moderators of treatment response, such as weight and shape concerns, are highlighted and a stepped-care model proposed. Future directions include expanding the adoption of efficacious treatments in clinical practice, testing adapted treatments in diverse samples (e.g., minorities and youth), improving treatment outcomes for nonresponders, and developing efficient and cost-effective stepped-care models.