Year of Zoom in a Year of Doom: Lessons Learned Delivering ERP Remotely During the COVID-19 Pandemic

In response to the COVID-19 pandemic and consequential shutdown measures, many mental health professionals started providing therapy to patients exclusively via telehealth. Our research center, which specializes in studying and treating obsessive-compulsive disorder (OCD), historically has provided in-person exposure and response prevention (ERP) to adults with OCD, but shifted to telehealth during the pandemic. Unlike in other modes of talk therapy, ERP’s emphasis on therapist-supervised exposures presented unique opportunities and challenges to delivering treatment entirely via a virtual platform. This paper provides case examples to illustrate lessons we learned delivering ERP exclusively via telehealth in New York from March 2020 through June 2021 and offers recommendations for future study and practice. Though we observed a number of drawbacks to fully remote ERP, we also discovered advantages to delivering ERP this way, meriting additional research attention.     

Le médecin expert confronté aux confidences de la personne expertisée

During an expertise, if the expert “discovers” or is entrusted with information concerning an offence, should he report it to the authorities? Could the expert be sanctioned in the absence of denunciation of a tort or criminal act? The answer will be nuanced on a case-by-case basis. The expert confronted with the revelation of a crime or misdemeanor must decide in good conscience what he reveals in his report, or even report it to the prosecution.     

新冠疫情期间中小学教师工作-家庭冲突和抑郁:有调节的中介模型

本研究考察新冠疫情期间,工作-家庭冲突是否通过职业倦怠增加中小学教师抑郁水平,以及心理弹性是否调节该中介作用。1127名中小学教师参与线上调查,完成中小学教师工作-家庭冲突问卷、中小学教师职业倦怠问卷、抑郁自评量表及中学教师心理弹性量表。结果发现：(1)大多教师疫情前后工作生活情况、工作-家庭冲突与抑郁的状况变化不大,少数教师疫情期间工作生活情况、工作-家庭冲突与抑郁状况变差或好转;(2)教师工作-家庭冲突与抑郁、职业倦怠呈正相关,三者均与心理弹性负相关;(3)控制额外变量后,职业倦怠是工作-家庭冲突与抑郁间的中介变量,在疫情期间工作生活状态更好、更差以及与疫情前后没有差别的教师中均成立;(4)对于感知疫情后情况更好的教师,心理弹性调节了工作-家庭冲突与职业倦怠的关系。对于感知疫情后情况更差的教师,心理弹性调节了职业倦怠与抑郁的关系。因此,缓解工作-家庭冲突和职业倦怠、提高心理弹性可减少中小学教师抑郁,保持心理健康。     

The effect of COVID-19 on home advantage in high- and low-stake situations: Evidence from the European national football competitions

The Covid-19 pandemic has significantly altered the way sporting events are observed. With the absence or limited presence of spectators in stadiums, the traditional advantage enjoyed by home teams has diminished considerably. This underscores the notion that the support of home fans can often be considered a key factor of the home advantage (HA) phenomenon, wherein teams perform better in front of their own supporters. However, the impact of reduced attendance on games with higher stakes, as opposed to low-stakes friendly matches, remains uncertain. In this study, we investigate the recently concluded European football championship (EURO 20), wherein several teams had the advantage of playing at home in high-stakes games with only one-third of the stadium capacity filled. Firstly, we demonstrate that the Covid-19 restrictions, leading to reduced fan attendance, resulted in a nearly 50% decrease in HA compared to the HA exhibited by the same teams during the qualification stage preceding EURO 20, even after accounting for team strength. Secondly, we show that while low-stakes friendly matches generally exhibit a smaller overall HA compared to high-stakes games, the absence of fans led to a similar reduction in HA during the low-stakes matches. Utilizing the recently developed Home Advantage Mediated (HAM) model (Bilalić, Gula, & Vaci, 2021, Scientific Reports, 21558), we were able to attribute the reduction in both high- and low-stakes games to poorer team performance, with no significant contribution from referee bias.     

秒回?信息通讯技术时代的职场通讯压力

职场通讯压力是指员工想要快速回复基于信息通讯技术(information and communication technology, ICT)的工作消息而体验到的紧迫性, 现有研究对其成因及影响路径的探讨较为零散且缺乏系统性认识。基于工作要求-资源模型并结合努力-恢复模型, 讨论作为工作要求的ICT使用以及作为个人要求/资源的个体因素对职场通讯压力的前因作用; 探讨职场通讯压力因阻碍恢复活动而对员工身心健康以及工作和家庭领域产生的消极影响, 以期增进对职场通讯压力的全面了解, 丰富现有研究对ICT使用后果的认识, 并为未来研究的展开以及员工职业心理健康干预实践提供参考。     

Modified Comprehensive Behavioral Intervention for Tics: Treating Children With Tic Disorders,Co-Occurring ADHD,and Psychosocial Impairment

Our objective was to evaluate the feasibility and acceptability, and preliminary efficacy of a modified comprehensive behavioral intervention for tics (MCBIT) therapy for youth with chronic tic disorders (CTDs), co-occurring attention-deficit hyperactivity disorder (ADHD), and associated psychosocial impairment. Seventeen youth ages 10–17 with CTD and co-occurring ADHD were randomly assigned to the MCBIT group (n = 9) or to a control group where they received traditional comprehensive behavioral intervention for tics (CBIT) therapy (n = 8). Both groups received ten 55-minute weekly treatment sessions, and two 55-minute biweekly relapse prevention sessions. Sixteen of the 17 participants completed the study, and acceptability ratings in both treatment groups were high with no significant differences in expectation of improvement. The MCBIT and CBIT groups in combination showed significant improvement in tic severity, ADHD symptom severity, and tic-related impairment. Group differences were not significant. The results indicate that MCBIT treatment is feasible and acceptable for youth with CTD and ADHD, and is similarly well tolerated relative to traditional CBIT. Results were not sufficiently superior to recommend MCBIT over CBIT for this population. However, given the demonstrated benefit of behavioral treatments that target co-occurring conditions concurrently, continuing to examine novel behavioral approaches that can target tics and related conditions simultaneously and successfully is recommended.     

Examining Safety Behavior Subtypes Across Distinct Social Contexts in Social Anxiety Disorder and Major Depression

People with social anxiety disorder (SAD) use different types of safety behaviors that have been classified as avoidance vs. impression management. The current study investigated differences in safety behavior subtype use in 132 individuals with principal diagnoses of social anxiety disorder (SAD, n = 69), major depressive disorder (MDD, n = 30), and nonpatient controls (n = 33) across two social contexts: an interpersonal relationship-building task (social affiliation) and a speech task (social performance). We examined whether diagnostic groups differed in safety behavior subtype use and whether group differences varied by social context. We also explored relationships between avoidance and impression management safety behaviors, respectively, and positive and negative valence affective and behavioral outcomes within the social affiliation and social performance contexts. Safety behavior use varied by diagnosis (SAD > MDD > nonpatient controls). The effect of diagnosis on impression management safety behavior use depended on social context: use was comparable for the principal SAD and MDD groups in the social performance context, whereas the SAD group used more impression management safety behaviors than the MDD group in the social affiliation context. Greater use of avoidance safety behaviors related to higher negative affect and anxious behaviors, and lower positive affect and approach behaviors across contexts. Impression management safety behaviors were most strongly associated with higher positive affect and approach behaviors within the social performance context. These findings underscore the potential value of assessing safety behavior subtypes across different contexts and within major depression, in addition to SAD.     

Effect of Daily Life Reward Loop Functioning on the Course of Depression

Engagement in activities increases positive affect (Reward Path 1), which subsequently reinforces motivation (Reward Path 2), and hence future engagement in activities (Reward Path 3). Strong connections between these three reward loop components are considered adaptive, and might be disturbed in depression. Although some ecological nomentary assessment (EMA) studies have investigated the cross-sectional association between separate reward paths and individuals’ level of depression, no EMA study has looked into the association between individuals’ reward loop strength and depressive symptom course. The present EMA study assessed reward loop functioning (5x/day, 28 days) of 46 outpatients starting depression treatment at secondary mental health services and monitored with the Inventory of Depressive Symptomatology—Self-Report (IDS-SR) during a 7-month period. Results of multilevel regression analyses showed significant within-person associations for Reward Path 1 (b = 0.21, p < .001), Reward Path 2 (b = 0.43, p < .001), and Reward Path 3 (b = 0.20, p < .001). Stronger average reward loops (i.e., within-person mean of all reward paths) did not relate to participants’ improvement in depressive symptoms over time. Path-specific results revealed that Reward Paths 1 and 2 may have partly opposite effects on depressive symptom course. Together, our findings suggest that reward processes in daily life might be best studied separately and that further investigation is warranted to explore under what circumstances strong paths are adaptive or not.     

Extending exploratory diagnostic classification models: Inferring the effect of covariates

Diagnostic models provide a statistical framework for designing formative assessments by classifying student knowledge profiles according to a collection of fine-grained attributes. The context and ecosystem in which students learn may play an important role in skill mastery, and it is therefore important to develop methods for incorporating student covariates into diagnostic models. Including covariates may provide researchers and practitioners with the ability to evaluate novel interventions or understand the role of background knowledge in attribute mastery. Existing research is designed to include covariates in confirmatory diagnostic models, which are also known as restricted latent class models. We propose new methods for including covariates in exploratory RLCMs that jointly infer the latent structure and evaluate the role of covariates on performance and skill mastery. We present a novel Bayesian formulation and report a Markov chain Monte Carlo algorithm using a Metropolis-within-Gibbs algorithm for approximating the model parameter posterior distribution. We report Monte Carlo simulation evidence regarding the accuracy of our new methods and present results from an application that examines the role of student background knowledge on the mastery of a probability data set.