Two studies investigated the relationship between hypervigilance, vulnerable gait cues, and a history of sexual victimization. In Study 1 ( = 130), gait was coded for traits relating to vulnerability where half of the sample was unaware of being videotaped (Unaware condition) and the other half was aware (Aware condition) to induce hypervigilance (between-subjects design). Gait was associated with a history of victimization, but only in the Unaware condition. A mediation analysis found that perceived impact of victimization mediated the association between victimization and vulnerable gait. In Study 2, female university students ( = 62) were measured on their victimization history and hypervigilance. Walking styles of participants were coded for the presence of vulnerability cues in both an Unaware and Aware condition (within-subjects design). A regression analysis revealed an association between hypervigilance and a reduced change in walking style between the two conditions. More notably, hypervigilance was found to moderate the relationship between sexual victimization and vulnerable gait but not violent victimization and vulnerable gait. These results suggest that hypervigilance may be an adaptive response that reduces perceived vulnerability in sexually victimized women.
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http://dx.doi.org/10.1177/0886260517713714 | DOI Listing |
Nat Metab
January 2025
CECAD Excellence Center, University of Cologne, Cologne, Germany.
Dysfunctions in autophagy, a cellular mechanism for breaking down components within lysosomes, often lead to neurodegeneration. The specific mechanisms underlying neuronal vulnerability due to autophagy dysfunction remain elusive. Here we show that autophagy contributes to cerebellar Purkinje cell (PC) survival by safeguarding their glycolytic activity.
View Article and Find Full Text PDFbioRxiv
December 2024
Department of Pharmacology and Physiology, Georgetown University of Medical Center, Washington DC, 20007, United States.
The degeneration of midbrain dopamine (DA) neurons disrupts the neural control of natural behavior, such as walking, posture, and gait in Parkinson's disease. While some aspects of motor symptoms can be managed by dopamine replacement therapies, others respond poorly. Recent advancements in machine learning-based technologies offer opportunities for unbiased segmentation and quantification of natural behavior in both healthy and diseased states.
View Article and Find Full Text PDFBrain Commun
December 2024
Faculty of Science and Medicine, University of Fribourg, Fribourg 1700, Switzerland.
Individuals diagnosed with functional neurological disorder experience abnormal movement, gait, sensory processing or functional seizures, for which research into the pathophysiology identified psychosocial contributing factors as well as promising biomarkers. Recent pilot studies suggested that (epi-)genetic variants may act as vulnerability factors, for example, on the oxytocin pathway. This study set out to explore endogenous oxytocin hormone levels in saliva in a cohort of 59 functional neurological disorder patients and 65 healthy controls comparable in sex and age.
View Article and Find Full Text PDFBMC Geriatr
December 2024
Department of Geriatrics and Aging Research, Center on Aging and Mobility, University of Zurich, c/o Stadtspital Zürich Waid Tièchestrasse 99, Zurich, 8037, Switzerland.
Background: Frailty is associated with multiple negative outcomes in geriatric trauma patients. Simultaneously, frailty assessment including physical measurements for weakness (grip strength) and slowness (gait speed) poses challenges in this vulnerable patient group. We aimed to compare the full 5-component Fried Frailty Phenotype (fFP) and a condensed model (cFP) without physical measurements, with regard to predicting hospital length of stay (LOS) and discharge disposition (DD).
View Article and Find Full Text PDFEClinicalMedicine
December 2024
University Clinic for Nephrology and Hypertension, Diabetes and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Background: Fall(s) are a significant cause of morbidity and mortality especially amongst elderly with polyneuropathy and cognitive decline. Conventional fall risk assessment tools are prone to low predictive values and do not address specific vulnerabilities. This study seeks to advance the development of an innovative, engaging fall prediction tool for a high-risk cohort diagnosed with diabetes.
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