Children with autism commonly experience difficulty controlling their emotions. Although existing treatments are successful in teaching critical emotion regulation skills, not all children improve. It is important to identify the factors that influence treatment response to be able to reach more children. This study aimed to identify child and parent characteristics that predict treatment response in a 10-week cognitive behaviour therapy treatment for children with autism, 8-12 years of age, and their parents. We found that youth who started the treatment with higher verbal abilities, who were more anxious in social situations, and had parents who were more anxious, were more likely to improve in learning new emotion regulation skills. We also found that children who had more physical discomforts or complaints before starting the treatment were less likely to improve in their negative expressions of emotion. Our study suggests that it is important for clinicians to promote active involvement and learning by avoiding complex language and to use more visual materials to supplement the learning process, and make sure that sessions are sensitive to the individual needs of participants.
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http://dx.doi.org/10.1177/1362361320909178 | DOI Listing |
Afr J Reprod Health
November 2024
Department of Psychiatric Nursing, Faculty of Health Sciences, Tokat Gaziosmanpaşa University, Turkey.
The objective of this study was to evaluate the effect of coronavirus disease perception on somatic sensations and cognitive emotion regulation in pregnant women. The study is a descriptive cross-sectional study. The sample consisted of 144 pregnant women.
View Article and Find Full Text PDFNeuroradiology
January 2025
Department of Neurology, Second Affiliated Hospital of Xuzhou Medical University, No. 32, Meijian Road, Quanshan District, Xuzhou, 221006, Jiangsu, China.
Introduction: Residual dizziness (RD) is common in patients with benign paroxysmal positional vertigo (BPPV) after successful canalith repositioning procedures. This study aimed to investigate the therapeutic effects of vestibular rehabilitation (VR) on BPPV patients experiencing RD, and to explore the impact of VR on functional connectivity (FC), specifically focusing on the bilateral parietal operculum (OP) cortex.
Methods: Seventy patients with RD were randomly assigned to either a four-week VR group or a control group that received no treatment.
Psychol Rep
January 2025
Department of Clinical Psychology, Seattle Pacific University, Seattle, WA, USA.
This study investigated whether parental socialization of negative emotions moderated the relationship between adolescents' low executive function or high impulsivity and their current or subsequent emotion dysregulation. Emotion dysregulation, characterized by difficulties in managing the intensity and duration of emotions, is a transdiagnostic factor linked to adverse outcomes. Youth with poor executive functioning and/or high impulsivity are at risk for emotion dysregulation; however, the role of parenting in influencing this trajectory warrants exploration.
View Article and Find Full Text PDFBMC Psychol
January 2025
Department of Medical Psychology, Air Force Medical University, Xi'an, China.
Purpose: The purpose of this study was to use the advanced technique of Network Intervention Analysis (NIA) to investigate the trajectory of symptom change associated with the effects of self-control training on youth university students' chronic ego depletion aftereffects.
Methods: The nine nodes of chronic ego depletion aftereffects and integrated self-control training were taken as nodes in the network and analyzed using NIA. Networks were computed at the baseline, at the end of treatment, at 1-, 3-, 6-, 9- and 12-month follow up.
Cogn Affect Behav Neurosci
January 2025
Departamento de Psicología ClínicaPsicobiología y MetodologíaFacultad de Psicología, Universidad de La Laguna, La Laguna, 38200, Tenerife, Spain.
Small animal phobia (SAP) is a subtype of specific phobia characterized by an intense and irrational fear of small animals, which has been underexplored in the neuroscientific literature. Previous studies often faced limitations, such as small sample sizes, focusing on only one neuroimaging modality, and reliance on univariate analyses, which produced inconsistent findings. This study was designed to overcome these issues by using for the first time advanced multivariate machine-learning techniques to identify the neural mechanisms underlying SAP.
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