The possibility of experiencing physical harm caused by an object, animal, or person is an omnipresent risk in almost any situation. People show variability in their in the propensity to perceive the possibility of harm from any ostensibly innocuous object or situation-a so-called threat bias. Despite the important psychological and societal consequences resulting from individual differences in physical threat bias, there does not currently exist an easily administered means to capture this disposition. We therefore endeavored to create a brief reliable self-report index of threat sensitivity for use by the many fields interested in the role of threat processing. We present here a physical threat sensitivity scale (TSS) that captures the dispositional tendency to perceive the possibility of physical harm in ostensibly innocuous situations or objects. We detail the development and validation of the TSS as a reliable index of individual threat bias (Studies 1a and 1b) and provide strong convergent evidence of the relationship between TS and both relevant individual differences (Study 2) and behavioral and perceptual indicates of threat bias (Study 3 and Study 4).
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http://dx.doi.org/10.1038/s41598-024-61476-7 | DOI Listing |
Conserv 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.
PLoS One
January 2025
Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands.
Anti-bias interventions do not always have the intended results and can even backfire. In light of research on the psychology of morality, we examined whether confronting people with evidence of their own (group's) bias causes a (psychophysiological) threat response, and how to overcome this. We focused on an intervention addressing gender bias in teacher evaluations.
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