Objective: Major depression have been associated with cortisol and dehydroepiandrosterone (DHEA) changes in old depressed patients. We examined the association between depression, cortisol, and DHEA, correcting for confounding variables, including physical capacity. In addition, the association between hormone levels and physical capacity in these two experimental groups was also analyzed.
Method: Depressed patients (n = 32) and healthy control (n = 31) old adults, both matched for age, were analyzed. Subjects were submitted to a physical capacity evaluation, including physical activity levels, functional fitness test, and balance scale.
Results: Depressed patients showed significant lower levels of cortisol than controls, which became non-significant after controlling for physical capacity. A positive correlation was observed between cortisol levels and physical capacity.
Conclusions: The data suggest that physical capacity modulates the relationship between depression and cortisol levels and needs to be taken into consideration in the future investigations.
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http://dx.doi.org/10.1590/0004-282X20160059 | DOI Listing |
PLoS One
December 2024
CHU Clermont Ferrand, Plateforme d'Exploration de la Mobilité, Pôle MOBEX, Université Clermont Auvergne, Clermont-Ferrand, France.
Background: In osteoarthritis quadriceps strength is an important outcome to assess exercise capacity and recovery after arthroplasty. However, its measurement is limited due to lack of time and the need for trained personnel and equipment whose accuracy is verified.
Objectives: To find out the determinants of a reduced quadriceps strength and to establish a score to screen for it.
Tomography
December 2024
Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
This research introduces BAE-ViT, a specialized vision transformer model developed for bone age estimation (BAE). This model is designed to efficiently merge image and sex data, a capability not present in traditional convolutional neural networks (CNNs). BAE-ViT employs a novel data fusion method to facilitate detailed interactions between visual and non-visual data by tokenizing non-visual information and concatenating all tokens (visual or non-visual) as the input to the model.
View Article and Find Full Text PDFTomography
November 2024
KYAMOS Ltd., 37 Polyneikis Street, Strovolos, Nicosia 2047, Cyprus.
: Accurate reconstruction of internal temperature fields from surface temperature data is critical for applications such as non-invasive thermal imaging, particularly in scenarios involving small temperature gradients, like those in the human body. : In this study, we employed 3D convolutional neural networks (CNNs) to predict internal temperature fields. The network's performance was evaluated under both ideal and non-ideal conditions, incorporating noise and background temperature variations.
View Article and Find Full Text PDFSports (Basel)
December 2024
Institute of Coaching and Performance, School of Health, Social Work and Sport, University of Central Lancashire, Preston PR1 2HE, UK.
Purpose: To investigate the influence of upper body (UB) strength qualities and UB strength training on the performance of high-intensity running and jumping actions and to identify gaps and recommendations for future research.
Methods: A systematic search using the PRISMA Scoping Review protocol was conducted in February 2024 using PubMed, Scopus, and ICTRP. Studies eligible for inclusion were those that reported associations between UB or trunk maximal strength qualities (e.
Trop Med Infect Dis
November 2024
Centre National de Formation et de Recherche en Santé Rurale de Mafèrinyah, Forécariah GPW7+V9G, Guinea.
This study analyzed the trend and factors associated with medical-surgical complications in patients discharged from leprosy multidrug therapy at the Centre Hospitalier Régional Spécialisé (CHRS), in Macenta, Republic of Guinea. This was a retro 2012 ( = 54) and 2013 ( = 35) and then a slight decrease between 2014 ( = 34) and 2017 ( = 26). From 2019 ( = 18) to 2021 ( = 1), a significant d spective study using routine secondary data from 2012 to 2021.
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