Background: Major depressive disorder (MDD) is associated with social cognitive deficits (e.g., poor affect recognition and impaired theory of mind). However, the contribution of social cognitive issues to psychosocial dysfunction in MDD (e.g., occupational functioning and interpersonal relationships) has not been investigated. The current study evaluated the relationship between specific social cognitive domains (e.g., prosody interpretation) and psychosocial dysfunction in subjects with lifetime MDD, as well as currently depressed, remitted, and healthy controls (HCs) subjects.
Method: Data were obtained from 213 participants in the Cognitive Function and mood study (CoFaMS), a cross-sectional study of mood, social cognition, cold cognition, and psychosocial functioning in mood disorders. Participants' (current MDD n = 42, remitted MDD n = 69, and HCs n = 102) social cognitive abilities were assessed using the Social Perception subtest of the Wechsler Adult Intelligence Scale, and psychosocial dysfunction was clinically evaluated with the Functioning Assessment Short Test (FAST).
Results: The results indicated that prosody interpretation, but not facial affect or meaning interpretation, was associated with psychosocial dysfunction in subjects with lifetime MDD, as well as remitted MDD subjects relative to HCs. In contrast, social cognition was not associated with functioning in participants with current MDD or in HCs.
Conclusions: These results suggest that the relationship between social cognition and psychosocial functioning differs between the acute and remitted stage of illness in MDD, and that prosody interpretation should be considered a treatment target in patients with residual psychosocial issues.
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http://dx.doi.org/10.1002/da.22844 | DOI Listing |
Sci Rep
December 2024
Potsdam University of Applied Sciences, Kiepenheuerallee 5, 14469, Potsdam, Germany.
Persuasive appeals frequently prove ineffective or produce unintended outcomes, due to the presence of motivated reasoning. Using the example of electric cars adoption, this research delves into the impact of emotional content, message valence, and the coherence of pre-existing attitudes on biased information evaluation. By conducting a factorial survey (N = 480) and incorporating a computational model of attitude formation, we aim to gain a deeper insight into the cognitive-affective mechanisms driving motivated reasoning.
View Article and Find Full Text PDFNat Commun
December 2024
Anthropology Department, University of California Santa Cruz, Santa Cruz, CA, USA.
Strontium isotope (Sr/Sr) analysis with reference to strontium isotope landscapes (Sr isoscapes) allows reconstructing mobility and migration in archaeology, ecology, and forensics. However, despite the vast potential of research involving Sr/Sr analysis particularly in Africa, Sr isoscapes remain unavailable for the largest parts of the continent. Here, we measure the Sr/Sr ratios in 778 environmental samples from 24 African countries and combine this data with published data to model a bioavailable Sr isoscape for sub-Saharan Africa using random forest regression.
View Article and Find Full Text PDFAlcohol Clin Exp Res (Hoboken)
December 2024
Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.
Background: Researchers have long been interested in identifying objective markers for problem drinking susceptibility informed by the environments in which individuals drink. However, little is known of objective cognitive-behavioral indices relevant to the social contexts in which alcohol is typically consumed. Combining group-based alcohol administration, eye-tracking technology, and longitudinal follow-up over a 2-year span, the current study examined the role of social attention in predicting patterns of problem drinking over time.
View Article and Find Full Text PDFAutism Res
December 2024
Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China.
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder and its underlying neuroanatomical mechanisms still remain unclear. The scaled subprofile model of principal component analysis (SSM-PCA) is a data-driven multivariate technique for capturing stable disease-related spatial covariance pattern. Here, SSM-PCA is innovatively applied to obtain robust ASD-related gray matter volume pattern associated with clinical symptoms.
View Article and Find Full Text PDFNeuro Endocrinol Lett
December 2024
Department of Psychological Sciences, Faculty of Social Sciences and Health Care, Constantine the Philosopher University in Nitra, Slovakia.
Background: With the increasing use of developmental screening tools, there is a growing need to validate parental screening methods for the early detection of developmental difficulties in children, regarding their psychometric properties.
Methods: This study evaluates the convergent validity of the S-PMV11 parental screening tool by comparing its outcomes with the Bayley Scales of Infant and Toddler Development (Bayley-III), the gold standard for direct assessment.
Results: We analyzed data from 30 children and found significant correlations between S-PMV11 scores and Bayley-III assessments across cognitive, language, and motor skill domains.
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