The present study examined the relative predictive value of parental anxiety, parents' expectation of child threat bias, and family dysfunction on child's threat bias in a clinical sample of anxious youth. Participants ( = 488) were part of the Child/Adolescent Anxiety Multi-modal study (CAMS), ages 7-17 years (M = 10.69; SD = 2.80). Children met diagnostic criteria for generalized anxiety disorder, separation anxiety and/or social phobia. Children and caregivers completed questionnaires assessing child threat bias, child anxiety, parent anxiety and family functioning. Child age, child anxiety, parental anxiety, parents' expectation of child's threat bias and child-reported family dysfunction were significantly associated with child threat bias. Controlling for child's age and anxiety, regression analyses indicated that parents' expectation of child's threat bias and child-reported family dysfunction were significant positive predictors of child's self-reported threat bias. Findings build on previous literature by clarifying parent and family factors that appear to play a role in the development or maintenance of threat bias and may inform etiological models of child anxiety.
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http://dx.doi.org/10.1007/s10608-012-9513-0 | DOI Listing |
J Clin Exp Neuropsychol
January 2025
Division of Psychology, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.
There has been both a national and global emphasis within the past 3 years to promote diversity, equity, inclusion (DEI), and cultural respect in healthcare and academia. One discipline and healthcare arena where this has been evident is the psychology field. Indeed, there has been rampant and widespread adoption and advancement of DEI and cultural respect across most of psychology.
View Article and Find Full Text PDFConserv Biol
January 2025
School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK.
Parasites represent a significant proportion of Earth's biodiversity and play important roles in the ecology and biology of ecosystems and hosts, making them an important target for conservation. Despite increasing calls to prioritize protection for parasites in the academic literature, they remain undervalued and underrepresented in global biodiversity conservation efforts, not least due to the perception that the interests of parasite and host conservation are opposing and the common misconception that parasites are a threat, rather than a benefit, to conservation. We considered whether taking an interdisciplinary approach to parasite conservation research will generate novel insights and solutions concerning why and how parasite conservation should be practiced for the benefit of parasites, their hosts, ecosystems, and people.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Physician Assistant Studies, Massachusetts College of Pharmacy and Health Sciences, 179 Longwood Avenue, Boston, MA, 02115, United States, 1 6177322961.
The integration of large language models (LLMs), as seen with the generative pretrained transformers series, into health care education and clinical management represents a transformative potential. The practical use of current LLMs in health care sparks great anticipation for new avenues, yet its embracement also elicits considerable concerns that necessitate careful deliberation. This study aims to evaluate the application of state-of-the-art LLMs in health care education, highlighting the following shortcomings as areas requiring significant and urgent improvements: (1) threats to academic integrity, (2) dissemination of misinformation and risks of automation bias, (3) challenges with information completeness and consistency, (4) inequity of access, (5) risks of algorithmic bias, (6) exhibition of moral instability, (7) technological limitations in plugin tools, and (8) lack of regulatory oversight in addressing legal and ethical challenges.
View Article and Find Full Text PDFCurr Opin Crit Care
January 2025
Department of Critical Care Medicine.
Purpose Of Review: Neuroprognostication after acute brain injury (ABI) is complex. In this review, we examine the threats to accurate neuroprognostication, discuss strategies to mitigate the self-fulfilling prophecy, and how to approach the indeterminate prognosis.
Recent Findings: The goal of neuroprognostication is to provide a timely and accurate prediction of a patient's neurologic outcome so treatment can proceed in accordance with a patient's values and preferences.
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