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Background: Emotion recognition skills are essential for social communication. Deficits in these skills have been implicated in mental disorders. Prior studies of clinical and high-risk samples have consistently shown that children exposed to adversity are more likely than their unexposed peers to have emotion recognition skills deficits. However, only one population-based study has examined this association.
Methods: We analyzed data from children participating in the Avon Longitudinal Study of Parents and Children, a prospective birth cohort (n = 6,506). We examined the association between eight adversities, assessed repeatedly from birth to age 8 (caregiver physical or emotional abuse; sexual or physical abuse; maternal psychopathology; one adult in the household; family instability; financial stress; parent legal problems; neighborhood disadvantage) and the ability to recognize facial displays of emotion measured using the faces subtest of the Diagnostic Assessment of Non-Verbal Accuracy (DANVA) at age 8.5 years. In addition to examining the role of exposure (vs. nonexposure) to each type of adversity, we also evaluated the role of the timing, duration, and recency of each adversity using a Least Angle Regression variable selection procedure.
Results: Over three-quarters of the sample experienced at least one adversity. We found no evidence to support an association between emotion recognition deficits and previous exposure to adversity, either in terms of total lifetime exposure, timing, duration, or recency, or when stratifying by sex.
Conclusions: Results from the largest population-based sample suggest that even extreme forms of adversity are unrelated to emotion recognition deficits as measured by the DANVA, suggesting the possible immutability of emotion recognition in the general population. These findings emphasize the importance of population-based studies to generate generalizable results.
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http://dx.doi.org/10.1111/jcpp.12881 | DOI Listing |
Dis Model Mech
December 2024
CNRS, Institut des Neurosciences Paris-Saclay, Université Paris-Saclay, 91400 Saclay, France.
The severity of brain comorbidities in Duchenne muscular dystrophy (DMD) depends on the mutation position within the DMD gene and differential loss of distinct brain dystrophin isoforms (i.e. Dp427, Dp140, Dp71).
View Article and Find Full Text PDFJ Autism Dev Disord
December 2024
Aspect Research Centre for Autism Practice, Autism Spectrum Australia, Level 5, Tower B, The Zenith, 821 Pacific Highway, Chatswood, NSW, 2067, Australia.
This study aimed to validate the Mandarin translation of the Stanford Social Dimensions Scale (SSDS). The initial validation sample consisted of 480 children with Autism Spectrum Disorder (ASD) (M = 9.35).
View Article and Find Full Text PDFJMIR Ment Health
December 2024
Faculty of Applied Computer Science, Augsburg University, Augsburg, Germany.
Background: The rise of wearable sensors marks a significant development in the era of affective computing. Their popularity is continuously increasing, and they have the potential to improve our understanding of human stress. A fundamental aspect within this domain is the ability to recognize perceived stress through these unobtrusive devices.
View Article and Find Full Text PDFCogn Neurodyn
December 2024
School of Computer Science and Engineering, Changchun University of Technology, Changchun, 130102 Jilin People's Republic of China.
The utilization of Electroencephalography (EEG) for emotion recognition has emerged as the primary tool in the field of affective computing. Traditional supervised learning methods are typically constrained by the availability of labeled data, which can result in weak generalizability of learned features. Additionally, EEG signals are highly correlated with human emotional states across temporal, spatial, and spectral dimensions.
View Article and Find Full Text PDFAerosp Med Hum Perform
December 2024
Introduction: Facial expression perception is the process by which someone can interpret the emotion of another individual using their facial cues. Below-average scores on tests designed to measure facial expression recognition (FER) accuracies are associated with inappropriate behavioral responses and are often linked to mental or neurological disorders. Head-down bed rest microgravity analog studies show changes in facial emotion processing that may indicate a behavioral health risk during spaceflight.
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