Assessment of improvement in anxiety severity for children with autism spectrum disorder: The matched correspondence analysis approach.

INTRODUCTION: Clinical trials typically involve random assignment to treatment conditions. However, random assignment does not guarantee a lack of systematic variation in the outcomes, and application of covariation methods for multiple dependent measures requires complicated assumptions that are often not met. METHODS: This study employed matched correspondence analysis (CA) for controlling systematic variation and handling multiple outcomes. One hundred nine children with autism spectrum disorder (ASD) were assessed for anxiety symptom severity across four studies, where participants were randomly assigned to either cognitive behavioral therapy (CBT) or treatment as usual or waitlist (TAU/WT). Matched CA is designed to optimally scale only the differences between baseline and posttreatment, rendering the systematic baseline carryover effects irrelevant. RESULTS: Differences in treatment efficacy were observed. CBT showed treatment efficacy on anxiety severity and anxiety-related impairment relative to TAU/WT, after the control of baseline carryover effects. CONCLUSION: This study provides a way to control systematic variation between groups at the outset of treatment trials and is expected to provide a novel pathway to more proper assessment of treatment efficacy for children with ASD and anxiety.

Effects of anxiety sensitivity, disgust, and intolerance of uncertainty on the COVID stress syndrome: a longitudinal assessment of transdiagnostic constructs and the behavioural immune system.

Excessive fear and worry in response to the COVID-19 pandemic (e.g., COVID stress syndrome) is prevalent and associated with various adverse outcomes. Research from the current and past pandemics supports the association between transdiagnostic constructs-anxiety sensitivity (AS), disgust, and intolerance of uncertainty (IU)-and pandemic-related distress. Recent research suggests a moderating effect of disgust on the relationship of AS-physical concerns and COVID-19-related distress, suggesting that transdiagnostic constructs underlie individual differences in activation of the behavioral immune system (BIS). No previous study has examined the independent and conjoint effects of pre-COVID-19 AS-physical concerns, disgust propensity (DP), disgust sensitivity (DS), and IU in this context; thus, we did so using longitudinal survey data (N = 3,062 Canadian and American adults) with simple and moderated moderations controlling for gender, mental health diagnosis, and COVID-19 diagnosis. Greater AS-physical concerns, DP, and DS predicted more severe COVID stress syndrome assessed one month later. Either DP or DS further amplified the effect of AS-physical concerns on COVID stress syndrome, except danger and contamination fears. IU did not interact with AS-physical concerns and DS or DP. Theoretical and clinical implications pertaining to delivery of cognitive behavioural therapy for pandemic-related distress are discussed.

Modeling anxiety and fear of COVID-19 using machine learning in a sample of Chinese adults: associations with psychopathology, sociodemographic, and exposure variables.

OBJECTIVES: Research during prior virus outbreaks has examined vulnerability factors associated with increased anxiety and fear. DESIGN: We explored numerous psychopathology, sociodemographic, and virus exposure-related variables associated with anxiety and perceived threat of death regarding COVID-19. METHOD: We recruited 908 adults from Eastern China for a cross-sectional web survey, from 24 February to 15 March 2020, when social distancing was heavily enforced in China. We used several machine learning algorithms to train our statistical model of predictor variables in modeling COVID-19-related anxiety, and perceived threat of death, separately. We trained the model using many simulated replications on a random subset of participants, and subsequently externally tested on the remaining subset of participants. RESULTS: Shrinkage machine learning algorithms performed best, indicating that stress and rumination were the most important variables in modeling COVID-19-related anxiety severity. Health anxiety was the most potent predictor of perceived threat of death from COVID-19. CONCLUSIONS: Results are discussed in the context of research on anxiety and fear from prior virus outbreaks, and from theory on outbreak-related emotional vulnerability. Implications regarding COVID-19-related anxiety are also discussed.

Mental health and clinical psychological science in the time of COVID-19: Challenges, opportunities, and a call to action.

COVID-19 presents significant social, economic, and medical challenges. Because COVID-19 has already begun to precipitate huge increases in mental health problems, clinical psychological science must assert a leadership role in guiding a national response to this secondary crisis. In this article, COVID-19 is conceptualized as a unique, compounding, multidimensional stressor that will create a vast need for intervention and necessitate new paradigms for mental health service delivery and training. Urgent challenge areas across developmental periods are discussed, followed by a review of psychological symptoms that likely will increase in prevalence and require innovative solutions in both science and practice. Implications for new research directions, clinical approaches, and policy issues are discussed to highlight the opportunities for clinical psychological science to emerge as an updated, contemporary field capable of addressing the burden of mental illness and distress in the wake of COVID-19 and beyond. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Development and initial validation of the COVID Stress Scales.

Research and clinical observations suggest that during times of pandemic many people exhibit stress- or anxiety-related responses that include fear of becoming infected, fear of coming into contact with possibly contaminated objects or surfaces, fear of foreigners who might be carrying infection (i.e., disease-related xenophobia), fear of the socio-economic consequences of the pandemic, compulsive checking and reassurance-seeking regarding possible pandemic-related threats, and traumatic stress symptoms about the pandemic (e.g., nightmares, intrusive thoughts). We developed the 36-item COVID Stress Scales (CSS) to measure these features, as they pertain to COVID-19. The CSS were developed to better understand and assess COVID-19-related distress. The scales were intentionally designed so they could be readily adapted for future pandemics. The CSS were developed and initially validated in population-representative samples from Canada (N = 3479) and the United States (N = 3375). A stable 5-factor solution was identified, corresponding to scales assessing COVID-related stress and anxiety symptoms: (1) Danger and contamination fears, (2) fears about economic consequences, (3) xenophobia, (4) compulsive checking and reassurance seeking, and (5) traumatic stress symptoms about COVID-19. The scales performed well on various indices of reliability and validity. The scales were intercorrelated, providing evidence of a COVID Stress Syndrome. The scales offer promise as tools for better understanding the distress associated with COVID-19 and for identifying people in need of mental health services.

Promoting measurement-based care and quality measure development: The APA mental and behavioral health registry initiative.

Measurement-based care has important implications across multiple avenues in mental and behavioral health care, including clinical care, quality improvement, and accountability. Using measurement-based care to demonstrate that quality care is being provided within the context of cost-efficient care could strengthen the position of mental and behavioral health providers as critical members of the health care system. Yet when measurement-based care is used to assess performance of providers, and then that performance influences reimbursement, it must be done with great care and deliberation so as not to result in unintended consequences such as punishing providers. Given psychology's expertise in measurement, the American Psychological Association (APA) and its members are uniquely suited to be leaders in promoting measurement-based care to assess quality and value. In this policy analysis paper, we examine the importance of measurement-based behavioral and mental health care across a variety of public service populations. We describe the increased federal regulatory focus on promoting quality and cost efficient care, the importance of defining and measuring quality care, and introduce an important resource being developed by APA to promote provider engagement in measurement-based care and effective participation in payment reform efforts in health care. We conclude with specific recommendations for how the field can move forward with using measurement-based care to assess accountability. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

How psychosocial research can help the National Institute of Mental Health achieve its grand challenge to reduce the burden of mental illnesses and psychological disorders.

The National Institute of Mental Health (NIMH) plays an enormous role in establishing the agenda for mental health research across the country (its 2016 appropriation was nearly $1.5 billion; NIMH, 2016a). As the primary funder of research that will lead to development of new assessments and interventions to identify and combat mental illness, the priorities set by NIMH have a major impact on the mental health of our nation and training of the next generation of clinical scientists. Joshua Gordon has recently begun his term as the new Director of NIMH and has been meeting with different organizations to understand how they can contribute to the grand challenge of reducing the burden of mental illness. As a group of clinical psychological scientists (most representing the Coalition for the Advancement and Application of Psychological Science), he asked what we saw as key gaps in our understanding of the burden of mental illnesses and psychological disorders that psychosocial research could help fill. In response, we first present data illustrating how funding trends have shifted toward biomedical research over the past 18 years and then consider the objectives NIMH has defined in its recent strategic plan (U.S. Department of Health and Human Services, National Institutes of Health, & National Institute of Mental Health, 2015). We then note ways that advances in psychosocial research can help achieve these objectives. Critically, this involves integrating psychosocial and biomedical approaches to efficiently relieve the suffering of millions of Americans who struggle with mental illnesses and psychological disorders. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

A quality-based review of randomized controlled trials of cognitive-behavioral therapy for depression: an assessment and metaregression.

OBJECTIVE: The authors assessed the methodological quality of randomized controlled trials of cognitive-behavioral therapy (CBT) for depression using the Randomized Controlled Trial Psychotherapy Quality Rating Scale (RCT-PQRS). They then compared the quality of CBT trials with that of psychodynamic therapy trials, predicting that CBT trials would have higher quality. The authors also sought to examine the relationship between quality and outcome in the CBT trials. METHOD: An independent-samples t test was used to compare CBT and psychodynamic therapy trials for average total quality score. Metaregression was used to examine the relationship between quality score and effect size in the CBT trials. RESULTS: A total of 120 trials of CBT for depression met inclusion criteria. Their mean total quality score on the RCT-PQRS was 25.7 (SD=8.90), which falls into the lower range of adequate quality. In contrast to our prediction, no significant difference was observed in overall quality between CBT and psychodynamic therapy trials. Lower quality was related to both larger effect sizes and greater variability of effect sizes when analyzed across all available comparisons to CBT. CONCLUSIONS: On average, randomized controlled trials of CBT and of psychodynamic therapy did not differ significantly in quality. In CBT trials, low quality appeared to reduce the reliability and validity of trial results. These findings highlight the importance of discerning quality in individual psychotherapy trials and also point toward specific methodological standards for the future.

Assessment of obsessive beliefs: Comparing individuals with obsessive-compulsive disorder to a medical sample.

Cognitive behavior models for Obsessive-Compulsive Disorder (OCD) are based currently on the presence of specific beliefs associated with the disorder. Among these beliefs are inflated responsibility, concerns over thought-action fusion, and overimportance of thoughts. The aim of this study was to compare scores from the subscales of the Obsessive Beliefs Questionnaire (OBQ-87), developed by the Obsessive-Compulsive Cognitions Working Group (OCCWG, 2001), in 24 patients from an OCD clinic (OCD) and 24 patients from a Medical Clinic (MC) for ambulatory and chronic diseases. All OCD patients were diagnosed using the SCID, and the OCD portion of the SCID was used to rule out patients with OCD from the MC group. The Yale-Brown Obsessive-Compulsive Scale (YBOCS) and Dysfunctional Attitudes Scale (DAS) were also administered. The results indicated that, contrary to predictions, in the domains of Tolerance for Uncertainty, Threat estimation, Responsibility and Perfectionism, the MC group presented higher scores than the OCD group. The same findings occurred with DAS, which was significantly correlated with the OBQ. Possible explanations for these findings are discussed, as well as suggestions for future research with both groups.