Relationships Between Emotion Regulation, Social Communication and Repetitive Behaviors in Autism Spectrum Disorder

The relationship between emotion regulation, social interaction and different types of restricted and repetitive behaviors is poorly understood. In the present study, structural equation modeling based on information about 239 individuals with autism was used to examine whether emotion regulation and social communication were associated with self-injury and stereotyped behaviors. Results showed that poor emotion regulation had a unique association with self-injury while difficulties with social communication was uniquely associated with stereotyped behaviors. Emotion regulation and social communication were strongly associated and self-injury and stereotyped behaviors moderately associated. This implies that these types of behaviors are often expressions of broader negative emotional states in autism. Treatments that help improve coping and social communication strategies may benefit individuals with autism.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature

Measuring symptoms of obsessive-compulsive and related disorders using a single dimensional self-report scale

Background: Obsessions and compulsions are heterogenous but can be classified into obsessive-compulsive disorder (OCD), body dysmorphic disorder (BDD), hoarding disorder (HD), hair-pulling disorder (HPD), and skin-picking disorder (SPD). OCD is in itself heterogenous, with symptoms clustering around four major symptom dimensions: contamination/cleaning, symmetry/ordering, taboo obsessions, and harm/checking. No single self-report scale captures the full heterogeneity of OCD and related disorders, limiting assessment in clinical practice and research on nosological relations among the disorders. Methods: To provide a single self-report scale of OCD and related disorders that respects the heterogeneity of OCD, we expanded the DSM-5-based Obsessive-Compulsive and Related Disorders-Dimensional Scales (OCRD-D) so that is also includes the four major symptom dimensions of OCD. A psychometric evaluation and an exploration of the overarching relations among the dimensions were conducted using an online survey which was completed by 1,454 Spanish adolescents and adults (age span = 15–74 years). Approximately 8 months after the initial survey, 416 participants completed the scale again. Results: The expanded scale showed excellent internal psychometric properties, adequate test-retest correlations, known groups validity, and correlations in the expected directions with well-being, depression/anxiety symptoms, and satisfaction with life. The higher-order structure of the measure indicated that harm/checking and taboo obsessions formed a common disturbing thoughts factor and that HPD and SPD formed a common body-focused repetitive behaviors factor. Conclusion: The expanded OCRD-D (OCRD-D-E) shows promise as a unified way to assess symptoms across the major symptom dimensions of OCD and related disorders. The measure may be useful in clinical practice (e.g., screening) and research, but more research on construct validity, incremental validity, and clinical utility is needed.This research named “Espectro-TOC: Modelos predictivos de trastornos relacionados con el TOC” [OCD-Spectrum: Predictive models of disorders related to OCD] was supported by a grant from the Alicia Koplowitz Foundation [“Ayudas a la investigación en psiquiatría, psicología y/o neurociencias del niño y el adolescente y en neuropediatría, XV Convocatoria 2019” (“Grants for research in psychiatry, psychology and/or neuroscience of children and adolescents and in pediatric neurology, XV Call 2019”)], as well as one predoctoral fellowship co-financed by the European Social Fund and the Regional Ministry of Education, Research, Culture and Sport from the Generalitat Valenciana (BM-A: ACIF/2019/055)

Network analysis of mindfulness facets, affect, compassion, and distress.

Objectives: Mindfulness, positive affect, and compassion may protect against psychological distress but there is lack of understanding about the ways in which these factors are linked to mental health. Network analysis is a statistical method used to investigate complex associations among constructs in a single network and is particularly suitable for this purpose. The aim of this study was to explore how mindfulness facets, affect, and compassion were linked to psychological distress using network analysis. Methods: The sample (n = 400) included equal numbers from general and student populations who completed measures of five mindfulness facets, compassion, positive and negative affect, depression, anxiety, and stress. Network analysis was used to explore the direct associations between these variables. Results: Compassion was directly related to positive affect, which in turn was strongly and inversely related to depression and positively related to the observing and describing facets of mindfulness. The non-judgment facet of mindfulness was strongly and inversely related to negative affect, anxiety, and depression, while non-reactivity and acting with awareness were inversely associated with stress and anxiety, respectively. Strong associations were found between all distress variables. Conclusions: The present network analysis highlights the strong link between compassion and positive affect and suggests that observing and describing the world through the lens of compassion may enhance resilience to depression. Taking a non-judging and non-reacting stance toward internal experience while acting with awareness may protect against psychological distress. Applicability of these findings can be examined in experimental studies aiming to prevent distress and enhance psychological well-being

Network Analysis Reveals Unique Associations of Mindfulness and Distress with Immunity in Māori and Non-Māori New Zealanders

Objectives: A healthy immune system is required to protect against viral infection and ensure the efficacy of vaccines. Psychological distress can threaten immune resilience, while mindfulness practices can be protective. In New Zealand, Māori experience significantly higher levels of distress compared to non-Māori. The aim of this study was to explore the role of ethnicity in the relations among immunity, depression, anxiety, stress, and mindfulness relate to each other. Method: Network analysis was used to explore unique relations among distress (depression, anxiety, stress), mindfulness facets, and immune status in matched (age, ranging from 19 to 88 years, sex, and self-classified socio-economic status) samples of Māori (n=195) and non-Māori (n=195) participants from New Zealand. Results: The networks of distress, mindfulness, and immune status were significantly different between Māori and non-Māori participants. The mindfulness facets Describe and Act with Awareness were more strongly positively linked in Māori, and Non-judge and Depression more strongly negatively linked in Māori, while Describe and Non-judge were more strongly positively linked in non-Māori. For both Māori and non-Māori, similarities included a negative link between anxiety and immune status, strong positive links between the distress variables, and positive links between the mindfulness facets of Non-judge and Act with Awareness, Observe and Non-React, and Observe and Describe. Conclusions: These findings suggest that anxiety is strongly linked to poor immunity across both Māori and non-Māori in New Zealand while networks of mindfulness and distress also demonstrated differences unique for each of these groups. Both similarities and differences between Māori and non-Māori should be considered when developing targeted interventions to improve physical and mental health in New Zealand. Preregistration: This study is not preregistered

Towards a definitive symptom structure of obsessive-compulsive disorder: A factor and network analysis of 87 distinct symptoms in 1366 individuals

Background The symptoms of obsessive-compulsive disorder (OCD) are highly heterogeneous and it is unclear what is the optimal way to conceptualize this heterogeneity. This study aimed to establish a comprehensive symptom structure model of OCD across the lifespan using factor and network analytic techniques. Methods A large multinational cohort of well-characterized children, adolescents, and adults diagnosed with OCD (N = 1366) participated in the study. All completed the Dimensional Yale-Brown Obsessive-Compulsive Scale, which contains an expanded checklist of 87 distinct OCD symptoms. Exploratory and confirmatory factor analysis were used to outline empirically supported symptom dimensions, and interconnections among the resulting dimensions were established using network analysis. Associations between dimensions and sociodemographic and clinical variables were explored using structural equation modeling (SEM). Results Thirteen first-order symptom dimensions emerged that could be parsimoniously reduced to eight broad dimensions, which were valid across the lifespan: Disturbing Thoughts, Incompleteness, Contamination, Hoarding, Transformation, Body Focus, Superstition, and Loss/Separation. A general OCD factor could be included in the final factor model without a significant decline in model fit according to most fit indices. Network analysis showed that Incompleteness and Disturbing Thoughts were most central (i.e. had most unique interconnections with other dimensions). SEM showed that the eight broad dimensions were differentially related to sociodemographic and clinical variables. Conclusions Future research will need to establish if this expanded hierarchical and multidimensional model can help improve our understanding of the etiology, neurobiology and treatment of OCD. © 2021 The Author(s). Published by Cambridge University Press