This research describes the psychometric properties of a new child self-report measure, the separation anxiety scale for children (SASC), which assesses the frequency of symptoms of separation anxiety in children from 8 to 11. The factor solution with a sample of 1,201 children from 8 to 11, isolated three factors, discomfort from separation, worry about separation, and calm at separation, tested by confirmatory factor analysis, which accounted for 32.80% of the total variance. Results indicated that the SASC has a high internal consistency (alpha = 0.83). The results revealed a high test-retest reliability of the instrument, and a high number of correctly diagnosed cases. The correlation of scores with other anxiety measures shows that the variable most associated with separation anxiety is trait-anxiety.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00787-008-0678-8 | DOI Listing |
Background: Recent advancements in automatic language and speech analysis, coupled with machine learning (ML) methods, showcase the effectiveness of digital biomarkers in non-invasively detecting subtle changes in cognitive status. While successfully distinguishing between Alzheimer's Disease (AD) and Normal Control (NC) individuals, classifying Mild Cognitive Impairment (MCI) proves to be a more challenging task. MCI can progress to AD or result from various factors, including affective disorders, necessitating multiple expert examinations for accurate detection.
View Article and Find Full Text PDFBackground: Alzheimer's disease (AD) fractures social relationships, extending the burden of disease beyond the affected individual and onto caregivers and loved ones. One brain region known to be crucial in regulating social behaviors is the noradrenergic locus coeruleus (LC), a region that becomes dysfunctional as AD progresses. Unfortunately, deficits in social bonding have been relatively understudied in AD, due in part to the limited social behavioral repertoires of mouse and rat models of AD.
View Article and Find Full Text PDFJ Neuropsychol
January 2025
Department of Child and Adolescent Psychiatry, Hacettepe University, Ankara, Türkiye.
This study aims to demonstrate that children and adolescents diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) who exhibit autism traits have a more severe clinical profile in terms of emotion regulation, clinical features related to ADHD, and functionality, compared to those diagnosed with ADHD without these traits. 50 patients with and 64 patients without autism traits between the ages of 8-16 were recruited for the study among the children and adolescents diagnosed with ADHD. The Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version, DSM-5-2016-Turkish Adaptation (K-SADS-PL-DSM-5-T) was used to exclude the diagnosis of Autism Spectrum Disorder (ASD) and detect comorbid psychiatric diagnosis.
View Article and Find Full Text PDFJ Autism Dev Disord
January 2025
Faculty of Education, Victoria University of Wellington, Wellington, New Zealand.
Purpose: Autistic children have an increased likelihood of anxiety, but more research is needed on the characteristics that predict various types of anxiety in this population.
Methods: In this study, we examined a range of child and family predictors of various types of anxiety using a sample of 452 autistic children from the Australian Autism Biobank. We used logistic regression to examine child and family predictors of four common types of anxiety in autistic children: generalised, phobic, separation, and social anxiety.
Behav Sci (Basel)
December 2024
Department of Health Sciences, University of Florence, Via di San Salvi 12, Pad. 26, 50135 Florence, Italy.
In certain situations, romantic engagement with a partner can have detrimental effects on an individual's well-being and overall health, exhibiting features attributable to addictive behaviors. Considering the clinical significance of this phenomenon and its prevalence among adolescents and young adults, the objective of this study was to investigate the potential associations between some risk factors for love addiction in a sample of university students, with a specific focus on adult attachment, separation anxiety, and defense mechanisms. A total of 332 participants (M = 23 years; SD = 2.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!