Social skills in patients with obsessive-compulsive disorder before and after treatment.

OBJECTIVE: We aim to investigate whether: 1) social skills (SS) are impaired in obsessive-compulsive disorder (OCD); 2) SS would change over the course of treatment; and 3) severity of OCD, age of onset of OCD symptoms and illness duration would be associated with SS impairments. METHODS: 41 treatment-naive patients with OCD and 34 control participants (CP) were assessed using a SS inventory. Patients were reevaluated 12-weeks after standardized treatment. Group differences, as well as the treatment effect on OCD symptomatology over time, were analyzed with independent and paired tests, respectively. OCD severity, age at illness onset and illness duration were tested as predictors of SS. RESULTS: Patients had lower total SS scores compared to controls (p-value < 0.001). After treatment, although OCD symptomatology (p-value < 0.001) improved, there was no statistical difference in SS performance (p-value = 0.673). Earlier age of onset of OCD symptoms predicted worse SS total score (p-value = 0.016). CONCLUSION: This study suggests that, despite the amelioration of OCD symptomatology, there was no alteration in Social Skills (SS) performance. Subsequent treatment investigations incorporating larger sample sizes and extended follow-up periods could elucidate whether enhancements in social skills are likely to manifest over time.

Neural and psychological correlates of post-traumatic stress symptoms in a community adult sample.

A multitude of factors are associated with the symptoms of post-traumatic stress disorder. However, establishing which predictors are most strongly associated with post-traumatic stress disorder symptoms is complicated because few studies are able to consider multiple factors simultaneously across the biopsychosocial domains that are implicated by existing theoretical models. Further, post-traumatic stress disorder is heterogeneous, and studies using case-control designs may obscure which factors relate uniquely to symptom dimensions. Here we used Bayesian variable selection to identify the most important predictors for overall post-traumatic stress disorder symptoms and individual symptom dimensions in a community sample of 569 adults (18 to 85 yr of age). Candidate predictors were selected from previously established risk factors relevant for post-traumatic stress disorder and included psychological measures, behavioral measures, and resting state functional connectivity among brain regions. In a follow-up analysis, we compared results controlling for current depression symptoms in order to examine specificity. Poor sleep quality and dimensions of temperament and impulsivity were consistently associated with greater post-traumatic stress disorder symptom severity. In addition to self-report measures, brain functional connectivity among regions commonly ascribed to the default mode network, central executive network, and salience network explained the unique variability of post-traumatic stress disorder symptoms. This study demonstrates the unique contributions of psychological measures and neural substrates to post-traumatic stress disorder symptoms.

Improving Exposure Therapy: Rationale and Design of an International Consortium.

The Exposure Therapy Consortium (ETC) was established to advance the science and practice of exposure therapy. To encourage participation from researchers and clinicians, this article describes the organizational structure and activities of the ETC. Initial research working group experiences and a proof-of-principle study underscore the potential of team science and larger-scale collaborative research in this area. Clinical working groups have begun to identify opportunities to enhance access to helpful resources for implementing exposure therapy effectively. This article discusses directions for expanding the consortium's activities and its impact on a global scale.

Risk estimation in relation to anxiety and depression for low probability negative events.

Foundational cognitive models propose that people with anxiety and depression show risk estimation bias, but most literature does not compute true risk estimation bias by comparing people's subjective risk estimates to their individualized reality (i.e., person-level objective risk). In a diverse community sample (N = 319), we calculated risk estimation bias by comparing people's subjective risk estimates for contracting COVID-19 to their individualized objective risk. Person-level objective risk was consistently low and did not differ across symptom levels, suggesting that for low probability negative events, people with greater symptoms show risk estimation bias that is driven by subjective risk estimates. Greater levels of anxiety, depression, and COVID-specific perseverative cognition separately predicted higher subjective risk estimates. In a model including COVID-specific perseverative cognition alongside anxiety and depression scores, the only significant predictor of subjective risk estimates was COVID-specific perseverative cognition, indicating that symptoms more closely tied to feared outcomes may more strongly influence risk estimation. Finally, subjective risk estimates predicted information-seeking behavior and eating when anxious, but did not significantly predict alcohol or marijuana use, drinking to cope, or information avoidance. Implications for clinical practitioners and future research are discussed.

Trait and situation-specific intolerance of uncertainty predict affective symptoms during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic, a high-uncertainty situation, presents an ideal opportunity to examine how trait intolerance of uncertainty (IU) and situation-specific IU relate to each other and to mental health outcomes. The current longitudinal study examined the unique associations of trait and COVID-specific IU with general distress (anxiety and depression) and pandemic-specific concerns (pandemic stress and vaccine worry). METHODS: A community sample of Florida adults (N = 2152) was surveyed online at three timepoints. They completed measures of trait IU at Wave 1 (April-May 2020) and COVID-specific IU at Wave 2 (May-June 2020). At Wave 3 (December-February 2021), they reported symptoms of depression, anxiety, pandemic stress, and vaccine worry. RESULTS: We used structural equation modeling to test our overall model. Trait IU significantly predicted later COVID-specific IU, however there was no significant effect of trait IU on any outcome measure after accounting for COVID-specific IU. Notably, COVID-specific IU fully mediated the relationship between trait IU and all four symptom measures. LIMITATIONS: There were several limitations of the current study, including the use of a community sample and high participant attrition. CONCLUSIONS: Results suggest that COVID-specific IU predicts mental health outcomes over and above trait IU, extending the existing literature. These findings indicate that uncertainty may be more aversive when it is related to specific distressing situations, providing guidance for developing more specific and individualized interventions. Idiographic treatments which target situation-specific IU may be more efficacious in reducing affective symptoms and related stress during the COVID-19 pandemic or other similar events.

Urged to feel certain again: The role of emotion-related impulsivity on the relationships between intolerance of uncertainty and OCD symptom severity.

OBJECTIVES: Obsessive-compulsive disorder (OCD) is a debilitating mental disorder characterized by persistent and intrusive thoughts accompanied by repetitive mental or physical acts. While both intolerance of uncertainty and emotion-related impulsivity have been consistently evidenced as cognitive risk factors of OCD, no studies have considered their joint effects. The current study examined the interaction between intolerance of uncertainty and two forms of emotion-related impulsivity-including both a behavioural and cognitive form-in predicting OCD symptoms. DESIGN: Cross-sectional data were collected online from community-based adult participants. METHODS: Participants (N = 673) completed a battery of self-report measures of OCD symptom severity, intolerance of uncertainty, and emotion-related impulsivity. RESULTS: The behavioural form of emotion-related impulsivity positively moderated the relationship between intolerance of uncertainty and OCD symptoms. Elevated levels of both factors predicted the most severe symptoms, particularly checking, washing, and obsessing. This interaction effect was not found for the cognitive form of emotion-related impulsivity, which still emerged as a unique predictor of OCD symptom severity, specifically obsessing symptoms. CONCLUSIONS: Current findings furthered the understanding of the link between intolerance of uncertainty and OCD symptoms by highlighting the role of emotion-related impulsivity. When uncertainty triggers distress in individuals with high intolerance of uncertainty, the urge to behaviourally alleviate this distress could promote the use of maladaptive obsessions and compulsions, leading to greater OCD symptoms. Results also indicated the potentially differential effects from the behavioural versus cognitive forms of emotion-related impulsivity on different symptom domains, and the mechanistic link here is worthy of further investigation.

Sociability Alcohol Expectancies Shape Predictions of Drinking Behavior and Anxiety in a Novel Affective Forecasting Task.

Background: Existing work proposes that people with higher social anxiety symptoms and sociability alcohol expectancies believe alcohol can lower their anxiety. However, studies have primarily analyzed retrospective reports, not anticipatory motives. Since predictions of future emotion (i.e., affective forecasts) strongly influence behavior, it is critical to understand how people predict alcohol will influence their anxiety. Additionally, intolerance of uncertainty (IU) is related to the use of alcohol as a coping tool, but there is a dearth of work testing whether IU influences alcohol-related forecasts. Objectives: Utilizing a novel affective forecasting task, we tested the prediction that social anxiety symptoms, sociability alcohol expectancies, and IU would relate to predictions about alcohol use. In an initial study and preregistered replication, participants imagined themselves in stressful social scenarios and forecasted how anxious they would feel when drinking and when sober. In the replication, participants also forecasted whether they would drink in the imagined scenarios. Results: Contrary to hypotheses, social anxiety symptoms and IU did not significantly predict higher forecasted anxiety across studies, nor did they predict forecasted drinking. Exploratory analyses showed that participants with higher sociability alcohol expectancies forecasted being more likely to drink, and forecasted feeling less anxious when drinking (versus being sober). Even after statistically controlling for social anxiety, the effect of sociability expectancies remained significant in predicting forecasted anxiety and forecasted drinking. Conclusions: Clinicians could consider specifically targeting sociability expectancies for alcohol use difficulties, and future research should continue utilizing affective forecasting paradigms to test links between social anxiety, alcohol expectancies, and alcohol-use problems.

Emotion-related impulsivity across transdiagnostic dimensions of psychopathology.

OBJECTIVE: Several dimensions have received attention for their potential role in explaining shared variance in transdiagnostic symptoms of psychopathology. We hypothesized emotion-related impulsivity, the trait-like tendency toward difficulty restraining responses to emotion, would relate to symptoms of psychopathology, with two separable dimensions of emotion-related impulsivity relating distinctly to internalizing and externalizing symptoms. METHOD: Across two studies, we tested hypotheses using structural equation models of emotion-related impulsivity and multiple indicators of internalizing, externalizing, and thought symptoms. RESULTS: In Study 1 (658 undergraduates), emotion-related impulsivity was highly correlated with the general psychopathology (p) factor. In study 2 (421 Mechanical Turk participants), models did not support a general p factor; however, we replicated the hypothesized associations of emotion-related impulsivity dimensions with internalizing and externalizing factors. Across both studies, forms of emotion-related impulsivity uniquely and differentially related to internalizing and externalizing symptoms. CONCLUSIONS: Findings indicate emotion-related impulsivity may help explain transdiagnostic dimensions of psychopathology, such as the p factor.

Does Emotion-Related Impulsivity Relate to Specific ADHD Symptom Dimensions, and Do the Effects Generalize Across Comorbid Internalizing and Externalizing Syndromes?

BACKGROUND: Recent work highlights the role of emotion dysregulation in the pathology of Attention-Deficit/Hyperactivity Disorder (ADHD). As such, emotion-related impulsivity (ERI), the trait-like tendency toward disinhibited thoughts (Pervasive Influence of Feelings, PIF) and actions (Feelings Trigger Action, FTA) during heightened emotional states, may be particularly relevant. We explored whether Inattention (IN) and Hyperactivity/Impulsivity (HI), two core symptom dimensions of ADHD, would relate to distinct facets of ERI, and whether externalizing and internalizing symptoms would moderate these relations. METHOD: Using structural equation modeling, we examined hypotheses among 364 adults recruited for high internalizing and externalizing symptoms. RESULTS: We identified significant paths for FTA regressed on HI and PIF regressed on IN, supporting our hypotheses about main effects. Moderating paths were not significant. CONCLUSIONS: IN and HI correlate with distinct forms of ERI, These effects appear to generalize across co-occurring internalizing and externalizing symptoms. Theoretical and clinical implications are discussed.

The impact of anxiety and intolerance of uncertainty on climate change distress, policy support, and pro-environmental behaviour.

OBJECTIVES: As the threat of climate change continues to grow, bolstering individual-level support for climate change initiatives is crucial. More research is needed to better understand how individual difference factors, such as climate change anxiety and intolerance of uncertainty (IU), may shape how people perceive climate change and respond to climate change messaging. To date, the majority of published studies have not taken these individual difference factors into consideration, and IU has been particularly neglected in the climate change literature. This study examined the independent effects of climate change anxiety and IU on three climate change-related outcomes: climate-related distress, support for climate change policies, and behavioural engagement. METHODS: Participants were Florida residents (N = 441) who completed an online survey, including measures of climate change anxiety and IU. Participants then watched a video describing climate change consequences and completed three outcome measures: post-video distress, climate change policy support, and behavioural engagement. RESULTS: Controlling for demographic covariates, both climate change anxiety (ß = .43, p < .001) and IU (ß = .27, p < .001) were associated with greater post-video distress, but only IU independently predicted greater policy support (ß = .10, p = .034) and behavioural engagement (ß = .12, p = .017). CONCLUSIONS: Our findings suggest that IU may be an important factor in promoting pro-environmental behaviour and policy support, but climate change anxiety may increase emotional distress without boosting meaningful behaviours or support. Our findings highlight the potential influence of cognitive factors on climate change engagement and suggest that invoking uncertainty rather than anxiety may be more effective in catalysing effective environmental engagement.

On the impulsivity path: Examining the unique and conjoint relations between emotion- and non-emotion-related impulsivity, internalizing symptoms, alcohol use, and physical health parameters.

BACKGROUND: Researchers have increasingly differentiated trait-like tendencies toward impulsivity occurring during emotional states (emotion-related impulsivity [ERI]) from impulsivity not tied to emotion (non-ERI). Relative to non-ERI, ERI has shown robust correlations with psychopathology and mild to moderate associations with physical health parameters (e.g., physical activity, poor sleep quality, body mass index [BMI]). Therefore, we first aimed to investigate the unique contributions of ERI and non-ERI to psychopathology symptoms while controlling for neuroticism. Second, we sought to explore the combined associations of physical health parameters with several impulsivity forms. METHODS: German-speaking adults (N = 350, 35.9 ± 14.6 years, 69.1% female, BMI: 24.0 ± 4.8 kg/m2 , mostly students or employees) completed measures of impulsivity, psychopathology symptoms, neuroticism, and physical health. We gathered measures of two ERI forms: Feelings Trigger Action and Pervasive Influence of Feelings. As a control comparison, we gathered a measure of non-ERI, the Lack of Follow-Through scale. We conducted separate path models for Aims 1 and 2. RESULTS: For Aim 1, Pervasive Influence of Feelings showed strong links with internalizing symptoms. Feelings Trigger Action and Lack of Follow-Through showed small links with alcohol use. For Aim 2, poor sleep quality was related to all three impulsivity factors, while physical activity was only related to Pervasive Influence of Feelings and Lack of Follow-Through. BMI showed a curvilinear association with impulsivity. CONCLUSIONS: ERI is more directly relevant than non-ERI for psychopathology symptoms, emphasizing the need to differentiate between the two ERI types. The association of ERI and non-ERI with physical activity and poor sleep quality may serve as potential treatment targets for impulsivity-related problems.

Associations Between Suicidality and Interoception in Obsessive-Compulsive Disorder.

Background: Individuals with obsessive-compulsive disorder (OCD) are at increased risk for suicide. One potential risk factor is interoceptive sensibility (IS), which is one's subjective experience of bodily sensations. The current study examined the relationship between IS and current suicidal ideation and lifetime history of suicide attempt, controlling for relevant covariates. Methods: Participants (N = 145) were a clinical sample of individuals with OCD from the New York City area. A clinical rater administered a diagnostic interview and an OCD severity assessment, and participants completed questionnaires about demographics, IS, and suicidality. Results: Current suicidal ideation was associated with reduced trusting of the body, and lifetime history of suicide attempt was related to greater general awareness of sensation. These associations remained significant after controlling for covariates. Conclusions: These results suggest that specific facets of IS may be associated with specific domains of suicidality. Decreased body trusting may represent a feeling of disconnection from the body that facilitates desire for death. Increased noticing of bodily sensations may lead to greater mental pain, which could interact with deficits in emotion regulation to increase risk for suicide attempt. Further research on the relationships between IS and suicidality in OCD is warranted.

Psychosocial and health stressors during the COVID-19 pandemic and their association with sleep quality.

OBJECTIVE: We investigated how psychosocial and health stressors and related cognitive-affective factors were differentially associated with sleep quality during the early months of the COVID-19 pandemic. METHODS AND MEASURES: Adults living in Florida (n = 2,152) completed a Qualtrics survey in April-May 2020 (Wave 1). Participants (n = 831) were reassessed one month later (Wave 2; May-June 2020). At Wave 1, participants reported their level of physical contact with someone they care about, presence of a pre-existing chronic disease, employment status, loneliness, health worry, and financial distress. At Wave 2, participants rated their quality of sleep and insomnia symptoms. RESULTS: Loneliness, but not health worry or financial distress, directly predicted worse sleep quality. Lack of physical contact was indirectly associated with worse sleep quality via greater levels of loneliness. Further, results showed the presence of a pre-existing chronic disease was associated with both greater health worry and worse sleep quality. CONCLUSION: Loneliness was the sole cognitive-affective predictor of worse sleep quality when controlling for other psychosocial factors. As expected, adults living with a chronic disease reported impaired sleep quality. Understanding the processes influencing sleep quality during a significant time of stress is important for identifying risk factors, informing treatment, and improving sleep health beyond the pandemic.

The relationship between psychiatric symptoms and affective forecasting bias.

BACKGROUND AND OBJECTIVES: Affective forecasting (AF) is the prediction of future emotional states. Negatively biased affective forecasts (i.e., overestimating negative affect) have been associated with trait anxiety, social anxiety, and depression symptoms, but few studies have tested these relationships while covarying commonly co-occurring symptoms. METHODS: In this study, participants (N = 114) completed a computer game in dyads. Participants were randomized into one of two conditions: a condition in which they were led to believe they were at-fault for losing their dyad money (n = 24 dyads) or a condition in which they were told no one was at fault (n = 34 dyads). Prior to the computer game, participants forecasted their affect for each potential game outcome. RESULTS: More severe social anxiety, trait-level anxiety, and depressive symptoms were all associated with more negative AF bias in the at-fault relative to the no-fault condition, and this effect persisted when controlling for other symptoms. Cognitive and social anxiety sensitivity was also associated with more negative AF bias. LIMITATIONS: The generalizability of our findings is innately limited by our non-clinical, undergraduate sample. Future work should replicate and extend our research in more diverse populations and clinical samples. CONCLUSIONS: Overall, our results support that AF biases are observed across a range of psychopathology symptoms and associated with transdiagnostic cognitive risk factors. Future work should continue investigating the etiological role of AF bias in psychopathology.

Negative interpretation bias connects to real-world daily affect: A multistudy approach.

Negative interpretation bias, the tendency to appraise ambiguous stimuli as threatening, shapes our emotional lives. Various laboratory tasks, which differ in stimuli features and task procedures, can quantify negative interpretation bias. However, it is unknown whether these tasks globally predict individual differences in real-world negative (NA) and positive (PA) affect. Across two studies, we tested whether different lab-based negative interpretation bias tasks predict daily NA and PA, measured via mobile phone across months. To quantify negative interpretation bias, Study 1 (N = 69) used a verbal, self-referential task whereas Study 2 (N = 110) used a perceptual, emotional image task with faces and scenes. Across tasks, negative interpretation bias was linked to heightened daily NA. However, only negative interpretation bias in response to ambiguous faces was related to decreased daily PA. These results illustrate the ecological validity of negative interpretation bias tasks and highlight converging and unique relationships between distinct tasks and naturalistic emotion. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Situational uncertainty interacts with anxiety sensitivity and distress intolerance to predict anticipated worry and preparation for a hurricane.

BACKGROUND: There is evidence for the impact of emotional intolerance on reactivity to stressors, but it is unknown whether the level of situational uncertainty may moderate this relationship. We examined whether situational uncertainty moderated the relationship between emotional intolerance and anticipated anxious responding to hurricane forecasts, considering three aspects of emotional tolerance: anxiety sensitivity, distress intolerance, and hurricane-specific distress intolerance. METHODS: Participants (N = 358) were Florida residents who experienced Hurricane Irma. Participants were presented with two hypothetical storm forecasts that varied in level of uncertainty: 5-day forecast (high uncertainty) and 3-day forecast (low uncertainty). Participants rated their anticipated worry and preparation for each forecast. RESULTS: Significant interactions between forecast uncertainty and both anxiety sensitivity and hurricane-specific distress intolerance emerged on anticipated worry, such that there was a stronger relationship in the high uncertainty condition. Forecast uncertainty also moderated the relationship between anxiety sensitivity and anticipated preparation in the same direction. There were no significant interactions between forecast uncertainty and distress intolerance on either anticipated worry or preparation. CONCLUSIONS: Specific aspects of emotional intolerance appear to have a stronger influence on anticipated worry and preparatory behavior in high uncertainty situations. These findings suggest that distinct emotional tolerance factors may influence these responses.

Identifying real-world affective correlates of cognitive risk factors for internalizing disorders.

Cognitive risk factors are key in the vulnerability for internalizing disorders. Cognitive risk factors modulate the way individuals process information from the environment which in turn impacts the day-to-day affective experience. In 296 young adults, we assessed two transdiagnostic, general risk factors-repetitive negative thinking (RNT) and anxiety sensitivity in a high-RNT subsample (N = 119). We also assessed disorderand content-specific risk factors including worry, rumination, and three facets of anxiety sensitivity (cognitive, social, physical). To determine the day-to-day affective experience, we used cell-phone-based ecological momentary assessment to assess the mean and variability of positive and negative affect (PA; NA) over 3-4 months. Two multilevel multivariate Bayesian models were used to predict PA and NA mean and variability from (1) general and (2) specific cognitive risk factors. Mean NA was a nonspecific correlate of cognitive risk across both models, while mean PA was most strongly related to RNT and rumination. NA variability was most strongly related to RNT, rumination, and the physiological facet of anxiety sensitivity. PA variability was a specific correlate of RNT. Results highlight that cognitive risk factors for internalizing disorders manifest in unique patterns of day-to-day emotional experience. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The relationship between health worry, work distress, and affective symptoms during the COVID-19 pandemic: The mediating role of hopelessness and helplessness.

OBJECTIVES: The COVID-19 pandemic presented both serious health threats and economic hardships, which were reflected in increased rates of mood and anxiety symptoms. We examined two separate distress domains, health worries and work distress, as predictors of mood and anxiety symptoms. Additionally, we considered whether these two domains might be uniquely associated with the development of dysfunctional beliefs, as a proposed mechanism to account for increased symptoms during the pandemic. Two separate models were considered to examine if associations remained stable through the first year of the pandemic. METHODS: Participants (N = 2152) were a representative sample of Florida adults. They completed online surveys at three waves: Wave 1 (April-May 2020), Wave 2 (May-June 2020), and Wave 3 (December-February 2021). Participants completed measures of COVID-19 health worry and work distress, anxiety, and depression. They also reported their level of hopelessness and helplessness (indices of dysfunctional beliefs). RESULTS: In an early pandemic model (Wave 1-Wave 2), health worry directly and indirectly predicted anxiety and depression via dysfunctional beliefs. In contrast, work distress only indirectly predicted both outcomes. In a longer-term model (Wave 2-Wave 3), health worry had direct and indirect effects on downstream anxiety but not depression. Pandemic work distress had no effect on depression or dysfunctional beliefs; however, it was associated with less anxiety. CONCLUSIONS: Although health worry and work distress predicted later symptoms of anxiety and depression, they appeared to operate through different pathways. These findings provide guidance for the development of more effective interventions to reduce the impact of pandemics.