5 results match your criteria: "University of VT[Affiliation]"
J Asthma
December 2024
Department of Medicine, University of VT, Burlington, USA.
Objective: Older adults with asthma (OAA) have elevated asthma morbidity rates. A six-session intervention based on self-regulation theory was shown to improve outcomes. However, wide-spread implementation was difficult due to the in-person design.
View Article and Find Full Text PDFDisabil Rehabil
January 2025
Department of Medicine, University of Vermont The Robert Larner MD College of Medicine, Burlington, VT, USA.
Purpose: Older adults with communication disabilities (CDs) experience barriers to receiving care and face a paucity of accommodations for their disability. Utilizing someone that supports communication with healthcare providers (communication support persons) may be a way that this group self-supports their disability. We examined if this utilization was independently associated with CDs among older adults.
View Article and Find Full Text PDFArch Psychiatr Nurs
October 2016
University of VT, Vermont. Electronic address:
One in 68 Americans has autism spectrum disorder (ASD), and diagnosis is often delayed into adulthood in individuals without comorbid intellectual disability. Many undiagnosed adults resort to self-diagnosis. The purpose of this descriptive phenomenology was to explore the experience of realizing a self-diagnosis of ASD among 37 individuals who were not formally diagnosed.
View Article and Find Full Text PDFMod Pathol
September 2016
Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
A pathologist's accurate interpretation relies on identifying relevant histopathological features. Little is known about the precise relationship between feature identification and diagnostic decision making. We hypothesized that greater overlap between a pathologist's selected diagnostic region of interest (ROI) and a consensus derived ROI is associated with higher diagnostic accuracy.
View Article and Find Full Text PDFNeuroimage
May 2015
Parietal Team, INRIA Saclay-Île-de-France, Saclay, France; CEA, DSV, I2BM, Neurospin bât 145, 91191 Gif-Sur-Yvette, France; Universitaetsklinikum Hamburg Eppendorf, Hamburg, Germany; School of Physics and Astronomy, University of Nottingham, United Kingdom; AP-HP Department of Adolescent Psychopathology and Medicine, Maison de Solenn, University Paris Descartes, Paris, France; The Hospital for Sick Children, University of Toronto, Toronto, Canada; Behavioural and Clinical Neurosciences Institute, Department of Experimental Psychology, University of Cambridge, United Kingdom; Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Germany; Neuroimaging Center, Technische Universität Dresden, Germany.
Multi-subject datasets used in neuroimaging group studies have a complex structure, as they exhibit non-stationary statistical properties across regions and display various artifacts. While studies with small sample sizes can rarely be shown to deviate from standard hypotheses (such as the normality of the residuals) due to the poor sensitivity of normality tests with low degrees of freedom, large-scale studies (e.g.
View Article and Find Full Text PDF