Infant and preschool attachment, continuity and relationship to caregiving sensitivity: findings from a new population-based Australian cohort.

BACKGROUND: Here, we report new prevalence and temporal stability data for child attachment and parental caregiving behaviour, from infancy (1 year) to preschool (4 years). METHODS: Attachment (SSP) and caregiving data (MBQS) were from observations of parents and their infants and preschoolers, who represent the third generation of participants within an Australian longitudinal cohort. RESULTS: At 1 year (n = 314 dyads) and at 4 years (n = 368 dyads), proportions assessed secure were 59% and 71%, respectively. Proportions assessed avoidant were 15% and 11%; ambivalent 9% and 6%, and disorganised 17% and 12%, at 1 and 4 years. Continuity of attachment pattern was highest for the infant secure group. Of dyads initially classified disorganised in infancy, 36% remained so at the preschool assessment. Attachment and caregiving continuities across the infancy-preschool period were highest for the stable secure attachment group and lowest for the stable insecure attachment group. Loss of secure attachment to mother by age 4 years correlated with decreased maternal caregiving sensitivity, and acquisition of secure status by age 4 was associated with increased maternal sensitivity. We found no difference in caregiving sensitivity scores for mothers and fathers for female and male preschool children. CONCLUSIONS: The contemporary infant and preschool attachment proportions we report here closely mirror the patterns of those reported in prior decades, with an inclination towards secure base relationships. Our findings alert practitioners anew to the responsiveness of early attachment status to change in caregiving responsiveness and support ongoing investment in early identification of disorganised attachment.

Resilience eDBT: Development and Usability Evaluation of a Dialectical Behavior Therapy Skills Training App for Eating Disorders.

OBJECTIVE: Dialectical behavior therapy (DBT) is an evidence-based treatment for disorders characterized by recurrent binge eating. Yet, access to specialized treatment like DBT remains limited. To increase the accessibility of DBT, we developed a DBT skills training app (Resilience: eDBT) for the management of eating disorder (ED) symptoms. This paper delineates the developmental process of Resilience and tests its usability. METHODS: Descriptive information on the development and features of Resilience is provided, including its framework, content structure and delivery formats, functionality, data storage procedure, and privacy protocols. Usability was assessed via a mixed methods approach in 10 symptomatic individuals. Qualitative data were organized based on an existing framework, which included six themes: usability, visual design, user engagement, content, therapeutic persuasiveness, and therapeutic alliance. RESULTS: Resilience demonstrated good usability via a Systems Usability Scale score of 85.5, which exceeded the recommended cutoff of 68. Positive aspects of the app, according to interview data, were the ease of use and the visual design, while the addition of peer support was suggested as an opportunity for improvement. DISCUSSION: A novel DBT-based app may serve as an acceptable, low-intensity option or adjunct to traditional treatment for targeting ED symptoms that emerge in daily life. However, notable limitations include the small sample size and the single time point at which the usability assessment was conducted.

A randomized controlled trial of an online single session intervention for body image in individuals with recurrent binge eating.

OBJECTIVE: Theoretical models highlight body image disturbances as central to the maintenance of eating disorders, with empirical evidence finding negative body image to be a robust predictor of treatment nonresponse, relapse and symptom persistence. Accessible, scalable, and inexpensive interventions that can effectively target negative body image across the eating disorders are needed. We developed an online single session intervention (SSI) for negative body image and evaluated its acceptability and efficacy in a randomized controlled trial in individuals with recurrent binge eating. METHOD: Participants with recurrent binge eating were randomly assigned to the SSI (n = 99) or a waitlist (n = 101). Assessments were conducted at baseline, 4 week follow-up, and 8 week follow-up. RESULTS: 81% of participants accessed the SSI, demonstrating reasonable uptake. However, issues with attrition were apparent; a 32% study dropout rate was observed at posttest, while a 58% dropout rate was observed at follow-up. 87% of participants who completed satisfaction measures would recommend the SSI. SSI participants experienced greater improvements in negative body image at both 4 (d = -0.65) and 8 week (d = -0.74) follow-up. Significant between-group effects were also observed on most other secondary symptom measures, though no differences were found for motivations and help-seeking beliefs and intentions. CONCLUSION: Body image-focused self-guided SSIs for recurrent binge are largely accepted by those who are retained in the trial, but are associated with significant attrition. Although SSIs are not intended to replace standard treatment, they may help with short-term symptom management and could play an important role in eating disorder care. PUBLIC SIGNIFICANCE: Single session interventions (SSI) are a potentially accessible, scalable, and cost-effective way to deliver evidence-based treatment content to people with eating disorders. This study shows that an online (SSI) designed to target body image among people with recurrent binge eating is accepted and produced short-term symptom relief.

Target-user preferences, motivations, and acceptance for a dialectical behaviour therapy smartphone application for eating disorders.

PURPOSE: Evidence shows that dialectical behavioural therapy (DBT) is efficacious for eating disorders (ED), yet few people have access to specialized treatments like DBT. Translating key DBT skills for delivery via a smartphone application may broaden the dissemination of evidence-based interventions. However, prior to developing a DBT-based app, it is crucial to gather information on target-user needs and preferences. Assessing overall acceptance and identifying predictors of acceptance, informed by the UTAUT framework, is also important. This process ensures not only a demand for such an app, but also that users receive content and features tailored to their needs. METHOD: This study aimed to understand target-user preferences of DBT-based apps for EDs by assessing willingness to engage, overall acceptance levels, and preferred functionality/content delivery modes (n = 326 symptomatic participants). RESULTS: Eighty-eight percent indicated they would be willing to use a DBT-based ED app if it were available. Acceptance levels of a DBT app were high (64%), which was uniquely predicted by performance expectancy (perceptions of how beneficial an intervention is) and facilitating conditions (expectations of technological infrastructure and support in interventions) in path analysis. Content perceived as important to contain were emotion regulation techniques, tailored intervention strategies, and psychoeducation. CONCLUSION: Findings generate important information about target-user preferences of a DBT-based app for EDs, highlighting necessary design principles for apps of this kind. Level of evidence Level V, cross-sectional descriptive study.

Bidirectional relationships between muscularity-oriented disordered eating and mental health constructs: a prospective study.

Muscularity-oriented disordered eating (MODE) is a novel class of eating behaviors characterised by abnormal dietary alterations aimed towards building lean muscle. Although traditionally shown to affect men, emerging evidence suggests that increasingly more women are striving for the muscular and lean ideal, resulting in engagement of MODE behaviors. Prior research examining MODE in women is limited, yet emerging evidence from cross-sectional studies have established associations between MODE and poor mental health indices in this population. However, the temporal order of these associations in women is not yet known. Thus, the current study examined possible bi-directional associations between MODE behaviors and common mental health outcomes (depression, anxiety, loneliness). Adult women completed online study measures at baseline (Time 1 [T1]; n = 1760) and three-month follow-up (Time 2 [T2]; n = 1180). Cross-lagged panel models were computed to test for possible bi-directional relationships between MODE and the relevant mental health constructs. Findings showed that higher MODE levels at T1 significantly predicted increased depressive and anxiety symptoms (but not loneliness) at T2, and loneliness at T1 (but not depression/anxiety) significantly predicted MODE at T2. Effect sizes were small, so findings should be interpreted with this in mind. This is the first study to establish temporal relationships between MODE and mental health outcomes in adult women. Findings suggest that clinicians may benefit from inquiring about MODE behaviors for proper screening, assessment, and intervention, and potentially addressing loneliness to decrease risk of MODE.

Targeting dietary restraint to reduce binge eating: a randomised controlled trial of a blended internet- and smartphone app-based intervention.

BACKGROUND: Existing internet-based prevention and treatment programmes for binge eating are composed of multiple distinct modules that are designed to target a broad range of risk or maintaining factors. Such multi-modular programmes (1) may be unnecessarily long for those who do not require a full course of intervention and (2) make it difficult to distinguish those techniques that are effective from those that are redundant. Since dietary restraint is a well-replicated risk and maintaining factor for binge eating, we developed an internet- and app-based intervention composed solely of cognitive-behavioural techniques designed to modify dietary restraint as a mechanism to target binge eating. We tested the efficacy of this combined selective and indicated prevention programme in 403 participants, most of whom were highly symptomatic (90% reported binge eating once per week). METHOD: Participants were randomly assigned to the internet intervention (n = 201) or an informational control group (n = 202). The primary outcome was objective binge-eating frequency. Secondary outcomes were indices of dietary restraint, shape, weight, and eating concerns, subjective binge eating, disinhibition, and psychological distress. Analyses were intention-to-treat. RESULTS: Intervention participants reported greater reductions in objective binge-eating episodes compared to the control group at post-test (small effect size). Significant effects were also observed on each of the secondary outcomes (small to large effect sizes). Improvements were sustained at 8 week follow-up. CONCLUSIONS: Highly focused digital interventions that target one central risk/maintaining factor may be sufficient to induce meaningful change in core eating disorder symptoms.

Predictors, mediators, and moderators of response to digital interventions for eating disorders: A systematic review.

OBJECTIVE: Digital interventions show promise as an effective prevention or self-management option for eating disorders (EDs). However, it remains unclear how, for whom, and through what mechanisms they work in this population, as a synthesis of outcome predictors, moderators, and mediators is lacking. This systematic review synthesized empirical research investigating predictors, mediators, and moderators of response to digital interventions for EDs. METHOD: Six databases were searched (PROSPERO CRD42022295565) for studies that assessed predictors, moderators, or mediators of response (i.e., uptake, drop-out, engagement, and symptom level change) to a digital prevention or treatment program for EDs. Variables were grouped into several overarching categories (demographic, symptom severity, psychological, etc.) and were synthesized qualitatively across samples without a formally diagnosed ED (typically prevention-focused) and samples with a formally diagnosed ED (typically treatment-focused). RESULTS: Eighty-six studies were included. For studies recruiting samples without a formal diagnosis (n = 70 studies), most predictors explored were statistically unrelated to outcome, although participant age, baseline symptom severity, confidence to change, motivation, and program engagement showed preliminary evidence of prognostic potential. No robust moderators or mediators were identified. Few studies recruiting samples with a formal diagnosis emerged (n = 16), of which no reliable predictors, moderators, or mediators were identified. DISCUSSION: It remains unclear how, for whom, and under what circumstances digital programs targeting EDs work. We offer several recommendations for future research with the aim of advancing understanding of client characteristics and intervention elements that signal success from this intervention modality. PUBLIC SIGNIFICANCE: Digital interventions have shown potential as an effective, scalable, and accessible intervention option for EDs. However, responsiveness varies, so advancing understanding of predictors, mediators, and moderators of outcome to digital interventions for EDs is needed. Such knowledge is important for enabling safe and efficient treatment matching, and for informing future development of effective digital interventions.

OBJETIVO: Las intervenciones digitales se muestran prometedoras como una opción eficaz de prevención o autocontrol de los trastornos de la conducta alimentaria (TCA). Sin embargo, sigue sin estar claro cómo, para quién y a través de qué mecanismos funcionan en esta población, ya que falta una síntesis de los predictores de resultados, moderadores y mediadores. Esta revisión sistemática sintetiza la investigación empírica que estudia los predictores, mediadores y moderadores de la respuesta a las intervenciones digitales para los TCA. MÉTODO: Se realizaron búsquedas en seis bases de datos (CRD42022295565) de estudios que evaluaron predictores, moderadores o mediadores de la respuesta (es decir, admisión, abandono, compromiso y cambio en el nivel de síntomas) a un programa digital de prevención o tratamiento de los TCA. Las variables se agruparon en varias categorías generales (demográficas, gravedad de los síntomas, psicológicas, etc.) y se sintetizaron cualitativamente en muestras sin un TCA diagnosticado formalmente (normalmente centradas en la prevención) y muestras con un TCA diagnosticado formalmente (normalmente centradas en el tratamiento). RESULTADOS: Se incluyeron 86 estudios. Para los estudios que reclutaron muestras sin un diagnóstico formal (n = 70 estudios), la mayoría de los predictores explorados no estaban estadísticamente relacionados con el resultado, aunque la edad del participante, la gravedad de los síntomas basales, la confianza en el cambio, la motivación y el compromiso con el programa mostraron evidencia preliminar de potencial pronóstico. No se identificaron moderadores o mediadores sólidos. Surgieron pocos estudios que reclutaran muestras con un diagnóstico formal (n = 16), de los cuales no se identificaron predictores, moderadores o mediadores fiables. DISCUSIÓN: Sigue sin estar claro cómo, para quién y en qué circunstancias funcionan los programas digitales dirigidos a los TCA. Ofrecemos varias recomendaciones para futuras investigaciones con el objetivo de avanzar en la comprensión de las características de los consultantes y los elementos de intervención que señalan el éxito de esta modalidad de intervención.

Longitudinal association between self-compassion and intuitive eating: Testing emotion regulation and body image flexibility as mediating variables.

OBJECTIVES: Growing evidence suggests that intuitive eating is associated with numerous positive mental health and well-being constructs. Understanding factors that predict intuitive eating is necessary for identifying practical targets to enhance this style of eating, yet research identifying such predictors is scarce. Self-compassion is one variable that could enhance intuitive eating because it involves the practice of healthy emotion regulation skills that may disrupt the tendency to turn to food to cope during distressing situations. The present study tested for a longitudinal association between self-compassion and intuitive eating. We also tested whether this association was mediated by indices of emotion regulation (i.e., global emotion regulation skill scores and body image flexibility). METHOD: Adult women (n = 3039) were invited to completed study measures at baseline (T1), 4-month follow-up (T2), and 8-month follow-up (T3). Path analyses were computed to test hypothesized indirect effects. RESULTS: A direct path from T1 self-compassion to T3 intuitive eating emerged, such that higher self-compassion levels predicted increased intuitive eating over time. However, this association was not mediated by T2 emotion regulation skills nor body image flexibility. CONCLUSION: Findings suggest that self-compassion may facilitate an intuitive eating style, which does not appear to be explained by certain emotion regulation skills.

The independent contribution of muscularity-oriented disordered eating to functional impairment and emotional distress in adult men and women.

Muscularity-oriented disordered eating (MODE) refers to a broad cluster of pathological eating patterns driven by the pursuit of muscularity and leanness. Although increasing attention has been devoted towards understanding these symptoms in men, little work has been conducted to understand MODE in women. It is also unclear whether MODE contributes unique variance to functional impairment and emotional distress beyond thinness-oriented disordered eating symptoms. We addressed these gaps in a sample of 1,321 community-based adult women (n = 1136) and men (n = 185). Hierarchical multiple regressions revealed that MODE explained a significant proportion of unique variance in functional impairment in both men and women, even after controlling for traditional thinness-oriented disordered eating symptoms. MODE also contributed unique variance in symptoms of depression and anxiety in women, but not for men. Findings highlight the possible significance of these unique symptoms patterns geared towards the pursuit of muscularity and leanness. MODE symptoms may be a viable target in eating disorder intervention or prevention programs, although further longitudinal research is needed.

A systematic scoping review of research on COVID-19 impacts on eating disorders: A critical appraisal of the evidence and recommendations for the field.

OBJECTIVE: Research investigating the effects of COVID-19 on eating disorders is growing rapidly. A comprehensive evaluation of this literature is needed to identify key findings and evidence gaps to better inform policy decisions related to the management of eating disorders during and after this crisis. We conducted a systematic scoping review synthesizing and appraising this literature. METHOD: Empirical research on COVID-19 impacts on eating disorder severity, prevalence, and demand for treatment was searched. No sample restrictions were applied. Findings (n = 70 studies) were synthesized across six themes: (a) suspected eating disorder cases during COVID-19; (b) perceived pandemic impacts on symptoms; (c) symptom severity pre versus during the pandemic; (d) pandemic-related correlates of symptom severity; (e) impacts on carers/parents; and (f) treatment experiences during COVID-19. RESULTS: Pandemic impacts on rates of probable eating disorders, symptom deterioration, and general mental health varied substantially. Symptom escalation and mental health worsening during-and due to-the pandemic were commonly reported, and those most susceptible included confirmed eating disorder cases, at-risk populations (young women, athletes, parent/carers), and individuals highly anxious or fearful of COVID-19. Evidence emerged for increased demand for specialist eating disorder services during the pandemic. The forced transition to online treatment was challenging for many, yet telehealth alternatives seemed feasible and effective. DISCUSSION: Evidence for COVID-19 effects is mostly limited to participant self-report or retrospective recall, cross-sectional and descriptive studies, and samples of convenience. Several novel pathways for future research that aim to better understand, monitor, and support those negatively affected by the pandemic are formulated.

OBJETIVO: La investigación que se hace sobre los efectos de COVID-19 en los trastornos de la conducta alimentaria está creciendo rápidamente. Se necesita una evaluación exhaustiva de esta literatura para identificar los hallazgos clave y evidenciar las brechas para informar mejor las decisiones de políticas públicas relacionadas con el manejo de los trastornos de la conducta alimentaria durante y después de esta crisis. Se realizó una revisión sistemática del alcance que sintetizó y valoró esta literatura. MÉTODO: Se buscó investigación empírica sobre los impactos de COVID-19 en la gravedad, prevalencia y demanda de tratamiento de los trastornos de la conducta alimentaria. No se aplicaron restricciones a la muestra. Los hallazgos (n = 70 estudios) se sintetizaron en seis temas: (1) casos sospechosos de trastornos de la conducta alimentaria durante COVID-19; (2) impacto percibido en los síntomas; (3) gravedad de los síntomas antes versus durante la pandemia; (4) correlatos relacionados con la pandemia de la gravedad de los síntomas; (5) impactos en los cuidadores/padres; (6) experiencias de tratamiento durante COVID-19. RESULTADOS: El impacto de la pandemia en las tasas de probables trastornos de la conducta alimentaria, deterioro de los síntomas y salud mental en general variaron sustancialmente. La escala de síntomas y el empeoramiento de la salud mental durante y debido a la pandemia fueron reportados comúnmente, y los más susceptibles incluyeron casos confirmados de trastornos de la conducta alimentaria, poblaciones en riesgo (mujeres jóvenes, atletas, padres / cuidadores) e individuos con altos niveles de ansiedad o con miedo de COVID-19. Surgió alguna evidencia de una mayor demanda de servicios especializados en trastornos de la conducta alimentaria durante la pandemia. La transición forzada al tratamiento en línea fue un desafío para muchos, sin embargo, las alternativas de telesalud parecían factibles y efectivas. Conclusiones. La evidencia de los efectos de COVID-19 se limita principalmente al autoinforme de los participantes o al recuerdo retrospectivo, los estudios transversales y descriptivos, y las muestras de conveniencia. Se formulan varias vías novedosas para futuras investigaciones que tienen como objetivo comprender, monitorear y apoyar mejor a aquellos que fueron afectados negativamente por la pandemia.

Negative body image components as risk factors for orthorexia nervosa: Prospective findings.

Emerging theoretical and empirical evidence indicates that negative body image might be implicated in the onset or maintenance of ON symptoms. However, existing research investigating associations between negative body image and ON is limited to cross-sectional designs and has failed to consider the independent role of distinct components of body image. To overcome these limitations, the present study examined the prospective associations between five components of body image (i.e., overvaluation, dissatisfaction, preoccupation, body checking, and body image avoidance) and ON symptoms in community-based adult women. Participants were assessed at baseline and at a three-month follow-up, with 558 women included in the final analyses. After adjusting for baseline ON symptoms, higher scores on each of the five body image components at baseline significantly predicted greater increases in ON symptoms in univariate analyses. However, in multivariate analyses, overvaluation with weight and shape was the only component of body image to uniquely predict ON symptoms. Findings suggest that certain components of negative body image may increase the risk for ON symptoms. Findings also lend support to recent proposals that ON may be better viewed as a variant of an existing eating disorder, given that both appear to share similar underlying risk factors.

Exploring the role of feeling fat in individuals categorized with bulimia nervosa, binge-eating disorder and overweight/obesity.

PURPOSE: Despite featuring in prominent theoretical models, the role of "feeling fat" in certain eating and weight disorder presentations remains poorly understood. This study compared levels of feeling fat between people categorized with referable bulimia nervosa (BN) symptoms, binge-eating disorder (BED) symptoms, and overweight/obesity, and examined the unique associations of feeling fat on measures of eating pathology and functional impairment within each of these subgroups. METHODS: Data were analyzed from 977 participants who met criteria referable to BN symptoms (n = 419), BED symptoms (n = 346), or overweight/obesity without ED psychopathology (n = 212) based on self-report symptom frequency. RESULTS: Analysis of variance revealed that feeling fat levels were highest in the referable BN group, followed by the referable BED group, and then the overweight/obese subgroup. Multiple regressions revealed that feeling fat contributed additional variance to functional impairment and key cognitive (e.g., eating concerns) and behavioural (e.g., dietary restraint) symptoms only among those who met criteria referable to BN. CONCLUSION: Overall, findings suggest that the experience of feeling fat may be an important component of body image particularly among individuals with BN-type symptoms. Present findings may also have implications for the assessment and treatment of feeling fat among different eating and weight disorder presentations. LEVEL OF EVIDENCE: Cross-sectional descriptive study, Level V.

Perspectives of e-health interventions for treating and preventing eating disorders: descriptive study of perceived advantages and barriers, help-seeking intentions, and preferred functionality.

PURPOSE: Digital interventions that consider end-user needs, preferences, and concerns may address suboptimal rates of e-health uptake, usage, and engagement. We explored target-user perspectives of e-health treatment and prevention programs for eating disorders (EDs), with a focus on investigating (1) perceived advantages and barriers of e-health; (2) help-seeking intentions; and (3) preferences for different digital functionality, device types, and content-delivery formats. METHODS: Survey data were analysed from 722 community-based participants. Participants were categorized into one of four groups based on symptom presentation and severity, ranging from low risk to probable bulimia nervosa or binge-eating disorder. RESULTS: e-health advantages that received the highest endorsement (~ 84%) were "always there in times of need" and "travel not required". e-health barriers that received the highest endorsement (~ 50%) were concerns about data privacy and the accuracy of content presented. Nearly three-quarters reported an intention to use an e-health platform for preventing or treating EDs. Preference ratings were highest for programs to be available on all digital devices (relative to restricting the program to one type of device) and for content to be presented via graphics and video tutorials (rather than audio-based). e-health functionality that received highest preference ratings (~ 80%) were added clinician support, tailored feedback, strategies to change unhelpful ED thoughts, screening scales to assess symptoms, ED psychoeducation, and just-in-time intervention prompts. Preference and intention ratings were strikingly similar across all subgroups. CONCLUSION: Findings may inform the development and design of e-health platforms that meet the needs of people at different stages of an ED. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.

Break Binge Eating: Reach, engagement, and user profile of an Internet-based psychoeducational and self-help platform for eating disorders.

OBJECTIVES: Internet-based psychoeducational and self-help platforms hold promise for alleviating existing help-seeking barriers and addressing the unmet needs of people with eating disorders (EDs). In this paper, we report data related to the reach, engagement, and visitor profile of Break Binge Eating, an online platform designed to provide evidence-based information and self-help strategies for people at all stages of an ED. METHOD: Two sources of data were presented: (a) usage data from platform visitors generated through Google Analytics; and (b) characteristics of a sample of platform visitors (n = 786). RESULTS: In 13 months, approximately 46,311 unique users worldwide have accessed this platform, with usage rates rapidly increasing each month. Most visitors came from organic searches (when ED-related information is directly searched in a browser). Self-help content was the most accessed material, and 81% of the sample stated that their reason for accessing the platform was to get help. Sample visitors were highly symptomatic; 52% met criteria resembling a threshold ED and 87% engaged in at least one ED behavior in the past month. Across different symptomatic subgroups, ∼50% were unsure whether they needed help, ∼80% were not receiving any help, and ∼75% were highly concerned with their symptoms. CONCLUSION: This online platform has broad reach and is engaging its intended audience. It is an aim of this platform to improve mental health literacy, facilitate symptom recognition and improvement, and alleviate help-seeking barriers. Evaluating whether this platform is achieving its intended aims in a randomized controlled trial is the next step.

Interactions between different eating patterns on recurrent binge-eating behavior: A machine learning approach.

OBJECTIVE: Previous research has shown that certain eating patterns (rigid restraint, flexible restraint, intuitive eating) are differentially related to binge eating. However, despite the distinctiveness of these eating patterns, evidence suggests that they are not mutually exclusive. Using a machine learning-based decision tree classification analysis, we examined the interactions between different eating patterns in distinguishing recurrent (defined as ≥4 episodes the past month) from nonrecurrent binge eating. METHOD: Data were analyzed from 1,341 participants. Participants were classified as either with (n = 512) or without (n = 829) recurrent binge eating. RESULTS: Approximately 70% of participants could be accurately classified as with or without recurrent binge eating. Intuitive eating emerged as the most important classifier of recurrent binge eating, with 75% of those with above-average intuitive eating scores being classified without recurrent binge eating. Those with concurrently low intuitive eating and high dichotomous thinking scores were the group most likely to be classified with recurrent binge eating (84% incidence). Low intuitive eating scores were associated with low binge-eating classification rates only if both dichotomous thinking and rigid restraint scores were low (33% incidence). Low flexible restraint scores amplified the relationship between high rigid restraint and recurrent binge eating (81% incidence), and both a higher and lower BMI further interacted with these variables to increase recurrent binge-eating rates. CONCLUSION: Findings suggest that the presence versus absence of recurrent binge eating may be distinguished by the interaction among multiple eating patterns. Confirmatory studies are needed to test the interactive hypotheses generated by these exploratory analyses.

Meta-analysis of the effects of cognitive-behavioral therapy for binge-eating-type disorders on abstinence rates in nonrandomized effectiveness studies: Comparable outcomes to randomized, controlled trials?

OBJECTIVE: The efficacy of cognitive-behavioral therapy (CBT) for eating disorders is well-established. The extent to which CBT tested in controlled research settings generalizes to real-world circumstances is unknown. We conducted a meta-analysis of nonrandomized studies of CBT for eating disorders, with three aims: (a) to estimate the prevalence of patients who achieve binge-purge abstinence after CBT in routine practice; (b) to compare these estimates with those derived from two recent meta-analyses of randomized controlled trials (RCTs) of CBT for bulimia nervosa (BN) and binge-eating disorder (BED); (c) to examine whether the degree of clinical representativeness of studies was associated with effect sizes. METHOD: Twenty-seven studies, mainly involving BN, were included. Pooled event rates were calculated using random effects models. RESULTS: The percentage of treatment completers who achieved abstinence at post-treatment was 42.1% (95% CI = 34.7-50.0). The intention-to-treat (ITT) estimate was lower (34.6% [95% CI = 29.3-40.4]). However, abstinence rates varied across diagnoses, such that the completer and ITT analysis abstinence estimates were larger for BED samples (completer = 50.2%, 95% CI = 29.4-70.9; ITT = 47.2%, 95% CI = 29.8-65.2) than for BN (completer = 37.4%, 95% CI = 29.1-46.5; ITT = 29.8%, 95% CI = 24.9-35.3) and atypical eating disorder samples (completer = 37.8%, 95% CI = 20.2-59.3; ITT = 28.8%, 95% CI = 18.2-42.4). No relationship between the degree of clinical representativeness and the effect size was observed, and our estimates were highly comparable to those observed in recent meta-analyses of RCTs. DISCUSSION: Findings suggest that CBT for eating disorder can be effectively delivered in real-world settings. This study provides evidence for the generalizability of CBT from controlled research settings to routine clinical services.

Digital health applications for eating disorders treatment.

Eating disorders (EDs) are characterized by multifaceted etiologies, difficulties in accessing care (especially in regional locations), and variable responsiveness to treatments. Digital technologies are viewed as an important innovation in the assessment and treatment of EDs. We discuss current implementation of these innovations as well as important future directions for the field.

The efficacy of mindfulness apps on symptoms of depression and anxiety: An updated meta-analysis of randomized controlled trials.

Mindfulness apps have become popular tools for addressing symptoms of depression and anxiety. Since the publication of earlier meta-analyses evaluating the efficacy of mindfulness apps for depression and anxiety symptoms, over 20 randomized controlled trials (RCTs) have been conducted. There is a need for an updated meta-analysis that quantifies the effects of mindfulness apps on these symptoms and tests for potential moderators.. Random effects meta-analyses were conducted on 45 RCTs. Small, significant effect sizes were found for symptoms of depression (Ncomp = 46, N = 5852, g = 0.24, 95% CI = 0.17, 0.31, NNT = 13.57) and anxiety (Ncomp = 48, N = 6082, g = 0.28, 95% CI = 0.21, 0.35, NNT = 11.47) in favour of mindfulness apps over control groups. This effect was not explained by symptom deterioration in participants allocated to control groups. Effects remained stable when restricting analyses to lower risk of bias and larger sample trials. No significant moderators were observed, except trials that offered monetary compensation produced larger effects on depression. Non-significant effects were observed when comparing mindfulness apps to active therapeutic comparisons (g = -0.15 depression, g = 0.10 anxiety), though the number of studies was low. Growing evidence indicates that mindfulness apps can acutely reduce symptoms of depression and anxiety, although higher quality studies with longer follow-ups are needed.

Efficacy of mental health smartphone apps on stress levels: a meta-analysis of randomised controlled trials.

The management of stress has evolved in recent years due to widespread availability of mobile-device applications (apps) and their capacity to deliver psychological interventions. We evaluated the efficacy of mental health apps on stress and sought to identify characteristics associated with effect size estimates. Sixty-nine randomised controlled trials (RCTs) were included. Random effects meta-analyses were performed and putative moderators were examined at univariate and multivariate (combinations and interactions) levels. From 78 comparisons, we observed a small but significant pooled effect of apps over control conditions on perceived stress levels (g = 0.27; 95% CI = 0.20, 0.34; I2 = 68%). This effect weakened after taking into account small-study bias according to the trim-and-fill procedure (g = 0.10; 95% CI = 0.02, 0.19; I2 = 78%). Delivery of apps with stress monitoring features produced smaller efficacy estimates, although this association interacted with other trial features (small sample size and inactive control group) in multivariate analyses, suggesting that this effect may have been explained by features characteristic of low-quality trials. Mental health apps appear to have small, acute effects on reducing perceived stress. Future research should shift focus towards identifying change mechanisms, longitudinal outcomes, features that facilitate sustained app usage, and tangible pathways to integrating apps into real-world clinical settings.

Body appreciation predicts lower levels of orthorexia nervosa symptoms: Prospective findings.

Recent evidence shows that negative body image may be a potential risk factor for symptoms of orthorexia nervosa (ON). However, whether positive body image plays a protective role against symptoms of ON remains unclear. Although prior research has established associations between body appreciation (a core component of positive body image) and ON symptoms, this research is limited to cross-sectional designs, precluding inferences of temporal precedence. Thus, the present study overcomes this limitation by testing whether body appreciation prospectively predicts ON symptoms. Data were analysed from 1253 adult women (M age = 34 years (SD = 9.4), 81.3% Caucasian) who completed the Orthorexia Nervosa Inventory (ONI) and Body Appreciation Scale 2-Short Form (BAS2-SF) at baseline (T1) and at three-month follow-up (T2). Multiple linear regressions were used to test whether body appreciation scores at T1 predicted ONI subscale scores (behaviours, emotions, and impairments) at T2. Results revealed that higher body appreciation scores at T1 significantly predicted decreased scores on each ONI subscale at T2, though effect sizes were small. Findings provide preliminary evidence that body appreciation may protect against ON symptoms. If replicated, efforts to address ON symptoms may be enhanced by promoting body appreciation.