Anxiety disorders are globally one of the most prevalent and disabling forms of psychopathology in adults and children. Having a parent with an anxiety disorder multiplies the risk of anxiety disorders in the offspring, although the specific mechanisms and processes that play a role in this intergenerational transmission remain largely unknown. According to information processing theories, threat-related biases in cognitive processing are a causal mechanism in the development and maintenance of anxiety. These theories propose that individuals with anxiety are more likely to cognitively process novel stimuli in their environment as threatening. Creswell and colleagues proposed a theoretical model that highlighted the role of these cognitive biases as a mechanism in the intergenerational transmission of anxiety (Creswell et al., in Hadwin, Field (eds) Information processing biases and anxiety: a developmental perspective, Wiley, pp 279-295, 2010). This model postulated significant associations between (1) parents' and children's threat-related cognitive biases (2) parents' threat-related cognitive biases in their own and their child's environment, (3) parents' threat-related cognitive biases and parenting behaviors that convey anxiety risk to the offspring (e.g., modeling of fear, and verbal threat information transmission), and (4) parenting behaviors and child threat-related biases. This theoretical review collated the recent empirical work testing these four core hypotheses of the model. Building on the reviewed empirical work, an updated conceptual model focusing on threat-related attention and interpretation is proposed. This updated model incorporates the links between cognition and anxiety in parents and children and addresses the potential bidirectional nature of parent-child influences.
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http://dx.doi.org/10.1007/s10567-022-00390-8 | DOI Listing |
Sci Rep
January 2025
INSERM, Bergonié Institute, BPH, U1219, CIC-P 1401, University of Bordeaux, Bordeaux, France.
In vitro and animal studies have suggested that inoculation with herpes simplex virus 1 (HSV-1) can lead to amyloid deposits, hyperphosphorylation of tau, and/or neuronal loss. Here, we studied the association between HSV-1 and Alzheimer's disease biomarkers in humans. Our sample included 182 participants at risk of cognitive decline from the Multidomain Alzheimer Preventive Trial who had HSV-1 plasma serology and an amyloid PET scan.
View Article and Find Full Text PDFAnnu Rev Psychol
January 2025
Department of Psychology, Northeastern University, Boston, Massachusetts, USA.
People often want to know what their interaction partners are thinking. How accurate are they, what information do they use, what predicts how accurate they will be, and does accuracy matter? We organize our review of thought-feeling accuracy, defined as the accuracy of individuals' judgments about the content of another person's thoughts and feelings in live interaction, around these questions. At the same time, we argue that often people are especially interested in what others are thinking about them, such that research on the accuracy of individuals' metaperceptions regarding others' views of them is highly relevant to understanding thought-feeling accuracy more broadly construed.
View Article and Find Full Text PDFForensic Sci Res
December 2024
National Forensic Laboratory, Ljubljana, Slovenia.
Like other pattern recognition disciplines, forensic handwriting examination relies on various human factors. Expert opinions in the field are based on visual analysis and comparison, and the evaluation of findings is generally conducted without reference to tabulated data. This high level of subjectivity may contribute to bias and error in the examination process.
View Article and Find Full Text PDFPlast Reconstr Surg Glob Open
January 2025
Department of Computer Science, Johns Hopkins University, Baltimore, MD.
Artificial intelligence (AI) scribe applications in the healthcare community are in the early adoption phase and offer unprecedented efficiency for medical documentation. They typically use an application programming interface with a large language model (LLM), for example, generative pretrained transformer 4. They use automatic speech recognition on the physician-patient interaction, generating a full medical note for the encounter, together with a draft follow-up e-mail for the patient and, often, recommendations, all within seconds or minutes.
View Article and Find Full Text PDFIntroduction: Understanding how a research sample compares to the population from which it is drawn can help inform future recruitment planning. We compared the Wisconsin Alzheimer's Disease Research Center (WADRC) participant sample to the Wisconsin state population (WI-pop) on key demographic, social exposome, and vascular risk measures.
Methods: The WADRC sample included 930 participants.
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