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This study provides the first examination of the frequency, characteristics, and dynamics surrounding daily experiences of OCD-relevant intrusions among non-clinical participants (N = 54, Nobs = 2314) using ecological momentary assessment. It also examines the extent to which self-related constructs-participants' feared-self beliefs and their tendency to conceal aspects of self-relate to such intrusive phenomena. Participants completed a baseline questionnaire before reporting state depressed mood and intrusions up to five times per day (at semi-random intervals) for 14 days. Results suggest that questionnaire measures may result in underreporting of the frequency of intrusions, with most participants (80%) reporting at least one intrusion across the momentary observations, and 20% of observations indicating intrusive phenomena experienced since the previous momentary report. Baseline factors including OCD-related beliefs and feared self were related to the proportion of intrusions experienced, whereas self-concealment was not. Within the moment, state feared-self predicted intrusion-related distress, duration, perceived importance, the urge to act, and the need to control thoughts. The urge to conceal within the moment was significant but negatively related to perceived importance and the urge to act. Overall, this study provides evidence for the relevance of momentary measures of intrusions, and adds to evidence for self-beliefs in the dynamics of the disorder.

Recent work has served to dissociate two dimensions of trait body dissatisfaction: body dissatisfaction frequency and body dissatisfaction duration. The present study sought to evaluate whether body dissatisfaction frequency and body dissatisfaction duration are each associated with distinct patterns of appearance-related cognitive processing. It was hypothesized that speeded attentional engagement with idealized bodies is associated with higher frequency of body dissatisfaction episodes, while slowed attentional disengagement from such information may instead be associated with higher duration of body dissatisfaction episodes. Participants (238 women, 149 men) completed an attentional task capable of independently assessing attentional engagement with, and attentional disengagement from, idealized bodies. Participants also completed both trait and in vivo (i.e., ecological momentary assessment) measures of body dissatisfaction frequency and duration. Results showed that neither engagement nor disengagement bias index scores predicted variance in either body dissatisfaction frequency measures or body dissatisfaction duration measures. Findings suggest that either biased attentional engagement with, and disengagement from, idealized bodies do not associate with the frequency and duration of body dissatisfaction episodes, or there are other key moderating factors involved in the expression of body dissatisfaction-linked attentional bias.

This study examined the sustained and moderating effects of a behavioural sleep intervention for autistic children in a randomised controlled trial. Autistic children (5-13 years) with sleep problems were randomised to the Sleeping Sound intervention or Treatment as Usual (TAU). At 12-month follow-up (n = 150), caregivers of children in the Sleeping Sound group reported greater reduction in child sleep problems compared to TAU (p < .001, effect size: - 0.4). The long-term benefits of the intervention were greater for children taking sleep medication, children of parents who were not experiencing psychological distress, and children with greater autism severity. The Sleeping Sound intervention demonstrated sustained improvements in child sleep. Identified moderators may inform treatment by indicating which subgroups may benefit from further support.

BACKGROUND: This study evaluated the role of overlapping traits and characteristics related to autism spectrum disorder (autism) and anorexia nervosa (AN) in the general population, and the impact of these traits on mentalising ability. METHODS: A sample of young adults (N = 306), aged 18-25 years, was recruited to complete an online study that consisted of 4 measures: the Autism-Spectrum Quotient, Eating Disorder Examination Questionnaire, the Mentalization Scale, and the Reading the Mind in the Eyes task. RESULTS: Higher levels of autistic traits, particularly difficulty with attention switching, were associated with increased eating disorder psychopathology. Overall, autistic traits and eating disorder psychopathology were related among females, but not males. Difficulty with attention switching, however, was related to eating disorder psychopathology among both females and males. Autistic traits also appear to have a greater role in mentalising ability than does eating disorder psychopathology. CONCLUSION: The role of attention switching in overlapping traits of autism and eating disorder psychopathology needs to be more comprehensively evaluated by future research, as does the role of biological sex. Expanded knowledge in this field will help to better understand and evaluate symptoms at presentation, leading to clearer diagnoses and potentially better treatment outcomes.

BACKGROUND: Despite a wide range of proposed risk factors and theoretical models, prediction of eating disorder (ED) onset remains poor. This study undertook the first comparison of two machine learning (ML) approaches [penalised logistic regression (LASSO), and prediction rule ensembles (PREs)] to conventional logistic regression (LR) models to enhance prediction of ED onset and differential ED diagnoses from a range of putative risk factors. METHOD: Data were part of a European Project and comprised 1402 participants, 642 ED patients [52% with anorexia nervosa (AN) and 40% with bulimia nervosa (BN)] and 760 controls. The Cross-Cultural Risk Factor Questionnaire, which assesses retrospectively a range of sociocultural and psychological ED risk factors occurring before the age of 12 years (46 predictors in total), was used. RESULTS: All three statistical approaches had satisfactory model accuracy, with an average area under the curve (AUC) of 86% for predicting ED onset and 70% for predicting AN v. BN. Predictive performance was greatest for the two regression methods (LR and LASSO), although the PRE technique relied on fewer predictors with comparable accuracy. The individual risk factors differed depending on the outcome classification (EDs v. non-EDs and AN v. BN). CONCLUSIONS: Even though the conventional LR performed comparably to the ML approaches in terms of predictive accuracy, the ML methods produced more parsimonious predictive models. ML approaches offer a viable way to modify screening practices for ED risk that balance accuracy against participant burden.

BACKGROUND AND HYPOTHESES: Sleep disturbances are increasingly recognized as cooccurring with psychotic symptoms. The potential importance of this relationship is complicated when considering the effects of anxiety and depressive symptoms which commonly present in early-stage illness states. This study aimed to investigate the relationship between self-reported sleep disturbance on the development of attenuated psychotic symptoms (APS) cross-sectionally and longitudinally while adjusting for roles of anxiety and depressive symptoms. DESIGN: Eight-hundred and two help-seeking young people aged 12 to 25 years who engaged with our Australian early intervention services were included in the study (the "Transitions" cohort). Cross sectional mediation and cross-lagged longitudinal (12-month) mediation models were developed with outcomes being different APS domains. RESULTS: Only baseline excessive daytime sleepiness predicted later APS when accounting for previous APS, anxiety and depressive symptomatology. Cross sectionally, self-reported sleep disturbance showed both direct and indirect predictive relationships with all APS domains. Partial mediation through anxiety and depression was shown for unusual thought content, perceptual abnormalities, and disorganised speech, while full mediation through depression was shown for non-bizarre ideas. CONCLUSIONS: The specificity of the relationship between self-reported sleep disturbance on APS highlights the potential for different roles in mechanistic models of psychotic symptom expression. This further indicates the need for further experimental research to illuminate potential causal pathways. Future research should continue to use continuous, symptom level approaches across a range of timeframes to more accurately model the complex dynamics present in the sleep-psychosis relationship.

Findings from longitudinal research, globally, repeatedly emphasise the importance of taking an early life course approach to mental health promotion; one that invests in the formative years of development, from early childhood to young adulthood, just prior to the transition to parenthood for most. While population monitoring systems have been developed for this period, they are typically designed for use within discrete stages (i.e., childhood or adolescent or young adulthood). No system has yet captured development across all ages and stages (i.e., from infancy through to young adulthood). Here we describe the development, and pilot implementation, of a new Australian Comprehensive Monitoring System (CMS) designed to address this gap by measuring social and emotional development (strengths and difficulties) across eight census surveys, separated by three yearly intervals (infancy, 3-, 6-, 9- 12-, 15-, 18 and 21 years). The system also measures the family, school, peer, digital and community social climates in which children and young people live and grow. Data collection is community-led and built into existing, government funded, universal services (Maternal Child Health, Schools and Local Learning and Employment Networks) to maximise response rates and ensure sustainability. The first system test will be completed and evaluated in rural Victoria, Australia, in 2022. CMS will then be adapted for larger, more socio-economically diverse regional and metropolitan communities, including Australian First Nations communities. The aim of CMS is to guide community-led investments in mental health promotion from early childhood to young adulthood, setting secure foundations for the next generation.

OBJECTIVE: The use of videoconferencing has increased during the pandemic, creating prolonged exposure to self-image. This research aimed to investigate whether eating disorder (ED) risk was associated with videoconferencing performance for work or study and to explore whether the use of safety behaviors and self-focused attention mediated the relationship between ED risk and perceived control over performance anxiety, impaired engagement, or avoidance of videoconferencing for work or study. METHOD: In 2020, an online survey was distributed within Australia to those aged over 18 years via academic and social networks, measuring: use of videoconferencing for work/study, demographics, ED risk, safety behaviors for appearance concerns, self-focused attention, perceived control over performance anxiety, perceived engagement impairment, and avoidance of videoconferencing. A total of 640 participants (77.3% female, Mage = 26.2 years) returned complete data and were included in analyses. RESULTS: 245 participants (38.7%) were considered at-risk for EDs (SCOFF > 2). Those at-risk reported significantly more safety behaviors, self-focused attention, impaired engagement, and avoidance, plus lower perceived control over performance anxiety than those not at-risk. Multiple mediation models found the effects of ED risk on control over performance anxiety, impaired engagement, and avoidance were partially mediated by safety behaviors and self-focused attention. DISCUSSION: Our cross-sectional findings suggest videoconferencing for work/study-related purposes is associated with performance anxiety, impaired engagement, and avoidance among individuals at-risk for EDs. Poorer videoconferencing outcomes appear more strongly related to social anxiety variables than ED status. Clinicians and educators may need to provide extra support for those using videoconferencing. PUBLIC SIGNIFICANCE: Because videoconferencing often involves seeing your own image (via self-view) we wondered wheth

Videoconferencing for work/study purposes has increased rapidly due to the COVID-19 global pandemic. Given this practice often involves viewing one's own video image, higher appearance concerns whilst videoconferencing may be linked to poorer performance whereby individuals may not feel they are able to engage or have control during a work/study meeting. The present study cross-sectionally examined whether both facial appearance concerns and fear of negative evaluation during videoconferencing for work/study purposes were directly and indirectly related to performance control and engagement, through self-focused attention and appearance distraction. Adult participants (N = 534, Mage = 26.32, SD = 11.08; 78% female) completed an online survey during the COVID-19 pandemic in Australia. Path analysis revealed direct and indirect effects, suggesting that heightened appearance self-consciousness was associated with greater self- and appearance-focused attention. In turn, this was related to impaired performance during videoconferencing. Multigroup analyses demonstrated that the magnitude of the proposed correlational effects were comparable across men and women. Given the ongoing reliance on videoconferencing, these findings have important theoretical and practical implications.

The COVID-19 pandemic presents significant risks to population mental health. Despite evidence of detrimental effects for adults, there has been limited examination of the impact of COVID-19 on parents and children specifically. We aim to examine patterns of parent and child (0–18 years) mental health, parent substance use, couple conflict, parenting practices, and family functioning during COVID-19, compared to pre-pandemic data, and to identify families most at risk of poor outcomes according to pre-existing demographic and individual factors, and COVID-19 stressors. Participants were Australian mothers (81%) and fathers aged 18 years and over who were parents of a child 0–18 years (N = 2365). Parents completed an online self-report survey during ‘stage three’ COVID-19 restrictions in April 2020. Data were compared to pre-pandemic data from four Australian population-based cohorts. Compared to pre-pandemic estimates, during the pandemic period parents reported higher rates of parent depression, anxiety, and stress (Cohen’s d = 0.26–0.81, all p < 0.001), higher parenting irritability (d = 0.17–0.46, all p < 0.001), lower family positive expressiveness (d = − 0.18, p < 0.001), and higher alcohol consumption (22% vs 12% drinking four or more days per week, p < 0.001). In multivariable analyses, we consistently found that younger parent age, increased financial deprivation, pre-existing parent and child physical and mental health conditions, COVID-19 psychological and environmental stressors, and housing dissatisfaction were associated with worse parent and child functioning and more strained family relationships. Our data suggest wide-ranging, detrimental family impacts associated with the COVID-19 pandemic; and support policy actions to assist families with financial supports, leave entitlements, and social housing.

Introduction: Restrained, emotional and intuitive eating were examined in relation to each other and as correlates of participants’ weight status, body image and self-esteem. In some past research, restrained and emotional eating have been associated with higher weight status and poorer mental health, while intuitive eating is more frequently linked to lower weight status and more positive well-being. However, these eating styles have rarely been examined together and never in a large cross-country sample. Method: Six-thousand two-hundred and seventy-two (6272) emerging adults (M age = 21.54 years, SD = 3.13) completed scales from the Three-Factor Eating Questionnaire, the Eating Disorders Examination Questionnaire, the Intuitive Eating Scale-2, the Multidimensional Body Self Relations Questionnaire, the Rosenberg Self-Esteem Scale, and provided weight and height information that was used to calculate body mass index (BMI). Participants resided in Australia, Belgium, Canada, China, Italy, Japan, Spain and the United States and provided information using an online survey. Results: Path analyses for the entire sample revealed significant pathways between higher intuitive eating and higher body satisfaction and self-esteem, and lower BMIs among participants. Higher levels of restrained and emotional eating were associated with lower body satisfaction and self-esteem, and higher BMIs among participants. Minor cross-country differences were evident in these patterns of relations, but intuitive eating emerged as a consistent predictor across countries. Conclusion: Overall, findings suggest that efforts should be made to increase intuitive eating among emerging adults and to support individual and macrolevel interventions to decrease restrained and emotional eating behaviours.

The Body Appreciation Scale-2 (BAS-2) is a widely used measure of a core facet of the positive body image construct. However, extant research concerning measurement invariance of the BAS-2 across a large number of nations remains limited. Here, we utilised the Body Image in Nature (BINS) dataset – with data collected between 2020 and 2022 – to assess measurement invariance of the BAS-2 across 65 nations, 40 languages, gender identities, and age groups. Multi-group confirmatory factor analysis indicated that full scalar invariance was upheld across all nations, languages, gender identities, and age groups, suggesting that the unidimensional BAS-2 model has widespread applicability. There were large differences across nations and languages in latent body appreciation, while differences across gender identities and age groups were negligible-to-small. Additionally, greater body appreciation was significantly associated with higher life satisfaction, being single (versus being married or in a committed relationship), and greater rurality (versus urbanicity). Across a subset of nations where nation-level data were available, greater body appreciation was also significantly associated with greater cultural distance from the United States and greater relative income inequality. These findings suggest that the BAS-2 likely captures a near-universal conceptualisation of the body appreciation construct, which should facilitate further cross-cultural research.

Objective: This study examined the utility of a biopsychosocial model to explain both higher body mass index (BMI) and disordered eating. The study was designed to examine the predictors of higher BMI and a number of measures of disordered eating (dietary restraint, drive for muscularity, drive for thinness, binge eating, and compensatory behaviour). Method: Young adults (N = 838) recruited from seven countries, grouped into four regions (Europe, North American countries, Australia, Japan), completed an online survey, with each completion being 12 months apart. The survey included assessments of BMI and disordered eating, and a range of biological, psychological and sociocultural factors expected to predict both outcomes. Results: Results revealed unique patterns of association between predictors and BMI as well as different measures of disordered eating in the four geographical regions. Conclusions: The findings identify the specific nature of biopsychosocial factors that predict both higher BMI and different aspects of disordered eating. They also demonstrate that caution needs to be exercised in generalising findings from one country to other countries.

Brain diseases, including tumors and mental and neurological disorders, seriously threaten the health and well-being of millions of people worldwide. Structural and functional neuroimaging modalities are commonly used by physicians to aid the diagnosis of brain diseases. In clinical settings, specialist doctors typically fuse the magnetic resonance imaging (MRI) data with other neuroimaging modalities for brain disease detection. As these two approaches offer complementary information, fusing these neuroimaging modalities helps physicians accurately diagnose brain diseases. Typically, fusion is performed between a functional and a structural neuroimaging modality. Because the functional modality can complement the structural modality information, thus improving the performance for the diagnosis of brain diseases by specialists. However, analyzing the fusion of neuroimaging modalities is difficult for specialist doctors. Deep Learning (DL) is a branch of artificial intelligence that has shown superior performances compared to more conventional methods in tasks such as brain disease detection from neuroimaging modalities. This work presents a comprehensive review paper in the field of brain disease detection from the fusion of neuroimaging modalities using DL models like convolutional neural networks (CNNs), recurrent neural networks (RNNs), pretrained, generative adversarial networks (GANs), and Autoencoders (AEs). First, neuroimaging modalities and the need for fusion are discussed. Then, review papers published in the field of neuroimaging multimodalities using AI techniques are explored. Moreover, fusion levels based on DL methods, including input, layer, and decision, with related studies conducted on diagnosing brain diseases, are discussed. Other sections present the most important challenges for diagnosing brain diseases from the fusion of neuroimaging modalities. In the discussion section, the details of previous research on the fusion of neuroimaging modalit

BACKGROUND: Behavioural sleep problems are common in children with autism spectrum disorder (ASD); however, evidence for the efficacy of behavioural sleep interventions is limited. This study examined the efficacy of a brief behavioural sleep intervention in autistic children. It was hypothesised that the intervention would reduce overall child sleep problems (primary outcome), in addition to improvements in children's social, emotional, cognitive, academic functioning, and quality of life, and parent/caregivers' stress, quality of life, and mental health (secondary outcomes). METHODS: A randomised controlled trial was conducted with participants randomised via a computer-generated sequence to the sleeping sound intervention (n = 123) or treatment as usual (n = 122) group. Participants comprised 245 children with an ASD diagnosis. Inclusion criteria were as follows: confirmation of DSM IV or DSM-5 diagnosis of ASD, participants aged between 5 and 13 years and parent/caregiver report of moderate-severe sleep problems. Exclusion criteria were as follows: parent/caregiver intellectual disability or lacking sufficient English to complete questionnaires; and child participant with co-occurring medical conditions known to impact sleep. The intervention group received the sleeping sound intervention (2 × 50-min face-to-face sessions plus follow-up phone call) by a trained clinician. RESULTS: Change in children's sleep problems was measured by the Children's Sleep Habits Questionnaire (CSHQ) at 3 months post randomisation. Parents/caregivers of children in the intervention group reported a reduction in child sleep problems at 3 months post randomisation (effect size: E.S -0.7). There were also small effects in a number of child (internalising symptoms, emotional behavioural disturbance and quality of life) and parent/caregiver (mental health, parenting stress and quality of life) outcomes; however, these did not remain significant when controlling for multiple comparisons.

Parenting interventions offer an evidence-based method for the prevention and early intervention of child mental health problems, but to-date their population-level effectiveness has been limited by poor reach and engagement, particularly for fathers, working mothers, and disadvantaged families. Tailoring intervention content to parents' context offers the potential to enhance parent engagement and learning by increasing relevance of content to parents' daily experiences. However, this approach requires a detailed understanding of the common parenting situations and issues that parents face day-to-day, which is currently lacking. We sought to identify the most common parenting situations discussed by parents on parenting-specific forums of the free online discussion forum, Reddit. We aimed to understand perspectives from both mothers and fathers, and thus retrieved publicly available data from r/Daddit and r/Mommit. We used latent Dirichlet allocation to identify the 10 most common topics discussed in the Reddit posts, and completed a manual text analysis to summarize the parenting situations (defined as involving a parent and their child aged 0-18 years, and describing a potential/actual issue). We retrieved 340 (r/Daddit) and 578 (r/Mommit) original posts. A model with 31 latent Dirichlet allocation topics was best fitting, and 24 topics included posts that met our inclusion criteria for manual review. We identified 45 unique but broadly defined parenting situations. The majority of parenting situations were focused on basic childcare situations relating to eating, sleeping, routines, sickness, and toilet training; or related to how to respond to child negative emotions or difficult behavior. Most situations were discussed in relation to infant or toddler aged children, and there was high consistency in the themes raised in r/Daddit and r/Mommit. Our results offer potential to tailor parenting interventions in a meaningful way, creating opportunities to develop co

BACKGROUND: With the increasing frequency and magnitude of disasters internationally, there is growing research and clinical interest in the application of social media sites for disaster mental health surveillance. However, important questions remain regarding the extent to which unstructured social media data can be harnessed for clinically meaningful decision-making. OBJECTIVE: This comprehensive scoping review synthesizes interdisciplinary literature with a particular focus on research methods and applications. METHODS: A total of 6 health and computer science databases were searched for studies published before April 20, 2021, resulting in the identification of 47 studies. Included studies were published in peer-reviewed outlets and examined mental health during disasters or crises by using social media data. RESULTS: Applications across 31 mental health issues were identified, which were grouped into the following three broader themes: estimating mental health burden, planning or evaluating interventions and policies, and knowledge discovery. Mental health assessments were completed by primarily using lexical dictionaries and human annotations. The analyses included a range of supervised and unsupervised machine learning, statistical modeling, and qualitative techniques. The overall reporting quality was poor, with key details such as the total number of users and data features often not being reported. Further, biases in sample selection and related limitations in generalizability were often overlooked. CONCLUSIONS: The application of social media monitoring has considerable potential for measuring mental health impacts on populations during disasters. Studies have primarily conceptualized mental health in broad terms, such as distress or negative affect, but greater focus is required on validating mental health assessments. There was little evidence for the clinical integration of social media-based disaster mental health monitoring, such as combining survei

BACKGROUND: App-based interventions designed to prevent and treat eating disorders have considerable potential to overcome known barriers to treatment seeking. Existing apps have shown efficacy in terms of symptom reduction; however, uptake and retention issues are common. To ensure that apps meet the needs and preferences of those for whom they were designed, it is critical to understand the lived experience of potential users and involve them in the process of design, development, and delivery. However, few app-based interventions are pretested on and co-designed with end users before randomized controlled trials. OBJECTIVE: To address the issue, this study used a highly novel design thinking approach to provide the context and a lived experience perspective of the end user, thus allowing for a deeper level of understanding. METHODS: In total, 7 young women (mean age 25.83, SD 5.34, range 21-33 years) who self-identified as having a history of body image issues or eating disorders were recruited. Participants were interviewed about their lived experience of body image and eating disorders and reported their needs and preferences for app-based eating disorder interventions. Traditional (thematic analysis) and novel (empathy mapping; visually depicting and empathizing with the user's personal experience) analyses were performed, providing a lived experience perspective of eating disorders and identifying the needs and preferences of this population in relation to app-based interventions for eating disorders. Key challenges and opportunities for app-based eating disorder interventions were also identified. RESULTS: Findings highlighted the importance of understanding and identifying problematic eating disorder symptoms for the user, helpful practices for recovery that identify personal values and goals, the role of social support in facilitating hope, and aspects of usability to promote continued engagement and recovery. CONCLUSIONS: Practical guidance and recommenda

OBJECTIVE: The aim of the current study was to evaluate parental perceptions of the acceptability of a brief behavioural sleep intervention for autistic children (aged 5-13 years) using the Theoretical Framework of Acceptability (TFA). METHODS: Qualitative data were collected during a large randomised controlled trial evaluating the efficacy of the Sleeping Sound intervention: 123 families were randomised to the intervention group, of which 115 (93%) completed at least one intervention session and 82 (67%) provided qualitative evaluation data in the 3-month follow-up survey. Consultation records from intervention sessions and parent surveys were qualitatively analysed post hoc using a hybrid approach to thematic analysis. RESULTS: Findings were categorised under the seven themes of the TFA (affective attitude, burden, ethicality, intervention coherence, opportunity costs, perceived effectiveness, self-efficacy) in addition to three themes that were defined following inductive and deductive coding (barriers to implementation, facilitators to implementation, suggestions for improvement). Participants spoke positively about their experience participating in the intervention and perceived the intervention to be appropriate and effective. Most parents (95.5%) reported that they would recommend the Sleeping Sound intervention to other families of autistic children. Barriers to implementation included child and parent anxiety, child health problems, parental preferences, family circumstances, and other (e.g., school holidays). Facilitators to implementation included family support and consistency with strategies. CONCLUSIONS: The Sleeping Sound intervention was considered acceptable to parents of autistic children as evidenced by largely positive feedback regarding their experience. The results highlighted areas for improvement which can be used to inform future iterations of the intervention.

OBJECTIVES: Obsessive-compulsive personality disorder (OCDP) traits are commonly associated with eating disorders (EDs), with evidence demonstrating that these traits predispose and exacerbate the ED illness course. However, limited research has examined the symptomatic interplay between ED and OCDP traits. We used network analysis to (1) identify the most central symptoms in a network comprised of OCPD traits retrospectively assessed in childhood and ED symptoms and (2) to identify symptoms which bridged OCPD traits and ED symptoms. METHODS: Participants were 320 females with an ED (anorexia nervosa n = 227, bulimia nervosa n = 93), who completed the semi-structured EATATE interview and the Eating Disorder Inventory-2. Expected influence (EI) was computed to determine each symptom's influence in the network. Bridge symptoms were identified by computing bridge EI. RESULTS: A regularised partial correlation network showed that ascetism, social insecurity, ineffectiveness, and impulsivity had the highest EI in the OCPD and ED network. With respect to bridging symptoms, interpersonal distrust emerged as a possible bridging node between the OCPD and ED trait/symptom clusters. DISCUSSION: These findings highlight the centrality of non-specific ED symptoms in the ED symptom network and suggest that interpersonal distrust may play a functional role through which childhood OCPD traits and ED symptoms are connected.

Although a range of risk factors have been identified for disordered eating and weight status, the breadth of risk factors have been rarely considered within a single, comprehensive model. The robustness of these findings across countries also remains an open question. The present study sampled 6272 participants aged 18–30 years from eight countries in an attempt to evaluate combined and unique predictors for these two conditions, and to explore possible cross-country differences in these models. Participants completed a range of demographic, biological, behavioral, psychological, and sociocultural measures to test a comprehensive model of the contributions of these predictors for disordered eating and weight-related constructs (binge eating, body mass index, compensatory behaviors, dietary restraint, drive for muscularity, and drive for leanness). Structural invariance testing within a multigroup path analysis framework revealed that a single model across the eight countries provided poor model fit. Freeing of 22% of parameters across countries provided excellent fit and a satisfactory compromise for country-invariant and country-variant parameters in the model. Overall, predictors accounted for between 15% and 60% of variance in the outcome measures, with lowest explained variance for the disordered eating outcomes. Significant unique contributions to prediction were observed for each of the five risk factor variable types and across the eight countries. Thus, the findings show strong support for this model as an explanatory framework of both disordered eating and weight status.

The COVID-19 pandemic presents significant risks to population mental health. Despite evidence of detrimental effects for adults, there has been limited examination of the impact of COVID-19 on parents and children specifically. We aim to examine patterns of parent and child (0–18 years) mental health, parent substance use, couple conflict, parenting practices, and family functioning during COVID-19, compared to pre-pandemic data, and to identify families most at risk of poor outcomes according to pre-existing demographic and individual factors, and COVID-19 stressors. Participants were Australian mothers (81%) and fathers aged 18 years and over who were parents of a child 0–18 years (N = 2365). Parents completed an online self-report survey during ‘stage three’ COVID-19 restrictions in April 2020. Data were compared to pre-pandemic data from four Australian population-based cohorts. Compared to pre-pandemic estimates, during the pandemic period parents reported higher rates of parent depression, anxiety, and stress (Cohen’s d = 0.26–0.81, all p < 0.001), higher parenting irritability (d = 0.17–0.46, all p < 0.001), lower family positive expressiveness (d = − 0.18, p < 0.001), and higher alcohol consumption (22% vs 12% drinking four or more days per week, p < 0.001). In multivariable analyses, we consistently found that younger parent age, increased financial deprivation, pre-existing parent and child physical and mental health conditions, COVID-19 psychological and environmental stressors, and housing dissatisfaction were associated with worse parent and child functioning and more strained family relationships. Our data suggest wide-ranging, detrimental family impacts associated with the COVID-19 pandemic; and support policy actions to assist families with financial supports, leave entitlements, and social housing.

Objective: Exercise, yoga, and tai chi are commonly used complementary approaches for health and wellness. This review aims to synthesize the evidence for exercise, yoga, and tai chi in the outpatient treatment of major depressive disorder. Study Selection: A systematic search of the Ovid MEDLINE, EMBASE, PsycINFO, and Cochrane databases was conducted for randomized controlled trials of exercise, yoga, and tai chi for major depressive disorder. Data Extraction: Standardized mean differences were calculated and meta-analyzed using a random effects multilevel modeling framework. Heterogeneity and subgroup analysis was conducted. Result(s): Twenty-five studies were included for final analysis (exercise: 15, yoga: 7, tai chi: 3). Overall, meta-analysis showed a moderate significant clinical effect. However, when only studies (6 studies) with the lowest risk of bias were included, the overall effect size was reduced to low to moderate efficacy. Overall quality of evidence was low. Heterogeneity and publication bias were high. Conclusion(s): The current meta-analysis of outpatient exercise, yoga, and tai chi for treatment of major depressive disorder suggests that adjunctive exercise and yoga may have small additive clinical effects in comparison to control for reducing depressive symptoms. The evidence for tai chi is insufficient to draw conclusions. The concerns with quality of studies, high heterogeneity, and evidence of publication bias preclude making firm conclusions.© Copyright 2020 Physicians Postgraduate Press, Inc.

Objective: In the past two decades, newer psychotherapy treatments have emerged for the treatment of major depression. This review aimed to comprehensively synthesize the evidence for mindfulness-based cognitive therapy (MBCT), acceptance and commitment therapy (ACT), and positive psychotherapy (PPT) in treating a current episode of major depression. Method(s): A systematic search of the Ovid MEDLINE, Embase, PsycINFO, and Cochrane databases was conducted for randomized controlled trials of MBCT, ACT, and PPT for major depression. Standardized mean differences were calculated with Hedges' g to complete random-effects meta-analysis. Heterogeneity was assessed with the Cochran Q statistic and I2 statistic. Subgroup analysis was conducted to further investigate heterogeneity. Result(s): A random-effects meta-analysis of 15 studies (MBCT, N=7; ACT, N=4; PPT, N=4) revealed that all three therapies showed efficacy in reducing symptoms of depression with a small favorable effect, compared with all control conditions (N=946; Hedges' g=0.34; 95% confidence interval=0.14, 0.54; p,0.001). Cochrane's Q statistic (Q=32, df=15, p=0.007) suggested significant heterogeneity (I2=53%). A mixed-effects model test for subgroup differences showed significant differences between active controls and treatment-as-usual controls (x2=15.3, df=1, p,0.001). Overall quality of evidence and publication bias were low. Conclusion(s): Meta-analysis shows that MBCT and ACT may be superior to inactive or treatment-as-usual controls and that PPT may be comparable to active controls for reducing symptoms of major depression after an acute course of therapy. However, the quality of the evidence was low. High-quality studies are needed to confirm the efficacy of these interventions.Copyright © 2021 Association for the Advancement of Psychotherapy Inc.. All rights reserved.