New Findings: What is the central question of this study? Is the impairment in heat dissipation during exercise observed in men with type 2 diabetes related to glycaemic control (indexed by glycated haemoglobin; haemoglobin A )? What is the main finding and its importance? No association was found between haemoglobin A (range: 5.1-9.1%) and whole-body heat loss in men with type 2 diabetes during exercise in the heat. However, individuals with elevated haemoglobin A exhibited higher body core temperature and heart rate responses. Thus, while haemoglobin A is not associated with heat loss per se, it may still have important implications for physiological strain during exercise.
Abstract: Type 2 diabetes is associated with a reduced capacity to dissipate heat. It is unknown whether this impairment is related to glycaemic control (indexed by glycated haemoglobin; haemoglobin A ) is unknown. We evaluated the association between haemoglobin A and whole-body heat loss (via direct calorimetry), body core temperature, and heart rate in 26 physically active men with type 2 diabetes (43-73 years; HbA 5.1-9.1%) during exercise at increasing rates of metabolic heat production (∼150, 200, 250 W m ) in the heat (40°C, ∼17% relative humidity). Haemoglobin A was not associated with whole-body heat loss (P = 0.617), nor the increase in core temperature from pre-exercise (P = 0.347). However, absolute core temperature and heart rate were elevated ∼0.2°C (P = 0.014) and ∼6 beats min (P = 0.049), respectively, with every percentage point increase in haemoglobin A . Thus, while haemoglobin A does not appear to modify diabetes-related reductions in capacity for heat dissipation, it may still have important implications for physiological strain during exercise-heat stress.
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http://dx.doi.org/10.1113/EP090915 | DOI Listing |
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Institute of Biochemistry and Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada.
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Department of Neuroscience and Cell Biology, Osaka University Graduate School of Medicine, Osaka, 565-0871, Japan.
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December 2024
Université de Strasbourg, IPHC UMR7178, CNRS, Strasbourg, France.
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School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Melbourne, VIC 3010, Australia.
The climate change-associated abnormal weather patterns negatively influences the productivity and performance of farm animals. Heat stress is the major detrimental factor hampering production, causing substantial economic loss to the livestock industry. Therefore, it is important to identify heat-tolerant breeds that can survive and produce optimally in any given environment.
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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.
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