Objective: The aim of this study was to investigate the physiological responses induced by the Glittre-ADL test (TGlittre) test in patients with chronic obstructive pulmonary disease (COPD) and compare them with those induced by the 6-minute walk test (6MWT).
Design: Cross-sectional observational study.
Subjects: Eighteen patients with COPD 66 years (standard deviation (SD) 8) and forced expiratory volume in 1 s of 40.4% (SD 16.8) predicted) who performed in randomized order the 6MWT and TGlittre on 2 separate days.
Results: Baseline cardiopulmonary variables were similar between the 6MWT and TGlittre (p > 0.05). TGlittre induced slightly higher final VO2 than 6MWT 83.6 ml/min (SD 163.9); p < 0.05) and oxygen consumption (VO2) reached a plateau after the third lap during TGlittre. The other physiological variables, except respiratory exchange rate, were similar at the end of both tests (p > 0.05). All measured variables were significantly correlated between the 2 tests (p < 0.05).
Conclusion: TGlittre can induce slightly higher oxygen uptake than the 6MWT with similar cardiovascular and ventilatory demand and ventilatory efficiency.
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Sci Total Environ
January 2025
Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia; CSIRO Environment, Hobart, Australia.
Ingestion of plastic can have negative health consequences for wildlife. However, our understanding of the physiological impacts of plastics is limited, often relying on opportunistic sampling. We partnered with Tasmanian Aboriginal seabird harvesters, wildlife rescue clinics, and parks managers, to collect >400 fledgling yula/short-tailed and flesh-footed shearwaters across a spectrum of body conditions.
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Department of Biochemistry, Bahauddin Zakariya University, Multan, Pakistan.
Cotton (Gossypium hirsutum L.), a crucial global fibre and oil seed crop faces diverse biotic and abiotic stresses. Among these, temperature stress strongly influences its growth, prompting adaptive physiological, biochemical, and molecular changes.
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January 2025
Institute for Physical Activity and Nutrition, Deakin University, Melbourne, VIC, Australia.
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on various machine learning approaches for predicting heart disease, but they could not able to achieve remarkable accuracy. In response to this need, we applied nine machine learning algorithms XGBoost, logistic regression, decision tree, random forest, k-nearest neighbors (KNN), support vector machine (SVM), gaussian naïve bayes (NB gaussian), adaptive boosting, and linear regression to predict heart disease based on a range of physiological indicators.
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January 2025
Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
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View Article and Find Full Text PDFAlzheimers Dement
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Laboratory of Clinical Investigation, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA.
Background: The choroid plexus (CP), a vital component in the brain's ventricles, is crucial for cerebrospinal fluid (CSF) production and maintenance of the brain's physiological environment. It plays a key role in regulating neuroinflammatory responses, clearing harmful substances, producing neurotrophic factors and signaling molecules, and forming blood-CSF barrier. Consequently, changes to the CP's structural integrity could disrupt brain homeostasis and lead to cognitive impairment.
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