Purpose: The present study identified the physiological and performance characteristics that are deterministic during a maximal 1500-m time trial and in paced 1500-m time trials, with an all-out last lap.
Methods: Thirty-two trained middle-distance runners (n = 21 male, VO: 72.1 ± 3.2; n = 11, female, VO: 61.2 ± 3.7 mL kg min) completed a 1500-m time trial in the fastest time possible (1500) as well as a 1500 and 1500 trial whereby mean speed was reduced during the 0-1100 m by 5% and 10%, respectively. Anaerobic speed reserve (ASR), running economy (RE), the velocity corresponding with VO (VO), maximal sprint speed (MSS) and maximal accumulated oxygen deficit (MAOD) were determined during additional testing. Carnosine content was quantified by proton magnetic resonance spectroscopy in the gastrocnemius and expressed as a Z-score to estimate muscle fibre typology.
Results: 1500 time was best explained by RE and VO in female runners (adjusted r = 0.80, P < 0.001), in addition to the 0-1100-m speed relative to VO in male runners (adjusted r = 0.72, P < 0.001). Runners with a higher gastrocnemius carnosine Z-score (i.e., higher estimated percentage of type II fibres) and greater MAOD, reduced their last lap time to a greater extent in the paced 1500-m trials. Neither ASR nor MSS was associated with last lap time in the paced trials.
Conclusion: These findings suggest that VO and RE are key determinants of 1500-m running performance with a sustained pace from the start, while a higher carnosine Z-score and MAOD are more important for last lap speed in tactical 1500-m races.
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Sci Rep
January 2025
College of New Energy and Environment, Jilin University, Changchun, 130012, China.
Land use and land cover changes (LULCC) alter local surface attributes, thereby modifying energy balance and material exchanges, ultimately impacting meteorological parameters and air quality. The North China Plain (NCP) has undergone rapid urbanization in recent decades, leading to dramatic changes in land use and land cover. This study utilizes the 2020 land use and land cover data obtained from the MODIS satellite to replace the default 2001 data in the Weather Research and Forecasting-Community Multiscale Air Quality (WRF-CMAQ) model.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Science, University of Waikato, Hamilton, New Zealand; School of Natural and Environmental Science, Newcastle University, Newcastle, United Kingdom.
Vulnerable Marine Ecosystems (VMEs) are recognised as having high ecological significance and susceptibility to disturbances, including climate change. One approach to providing information on the location and biological composition of these ecosystems, especially in difficult-to-reach environments such as the deep sea, is to generate spatial predictions for VME indicator taxa. In this study, the Random Forest algorithm was used to model the spatial distribution of density for 14 deep-water VME indicator taxa under current environmental conditions and future climate change scenarios (SSP2-4.
View Article and Find Full Text PDFGames Health J
November 2024
Department of Kinesiology, Augusta University, Augusta, Georgia, USA.
Being able to choose elements of an exercise session, known as autonomy support, improves motor performance and psychological responses. Virtual reality (VR) programs provide many options for embedding autonomy support in exercise sessions. The purpose of this study was to investigate the effects of autonomy support in a VR setting on physiological and psychological responses to self-regulated rowing exercise.
View Article and Find Full Text PDFJ Sports Med Phys Fitness
January 2025
Laboratoire Centre d'Études des Transformations des Activités Physiques et Sportives (CETAPS), Université Rouen-Normandie, Mont-Saint-Aignan, France.
Background: The aim of this study was twofold: 1) to determine the rate of performance improvement among France's top 10 athletes in middle- and long-distance events (e.g., 800 m, 1500 m and 5000 m) by analyzing their personal best performances per season over several years; and 2) to develop an index of the optimal performance improvement rate for use by elite coaches and athletes in assessing athletes' progression, predicting potential performances, and possibly detecting high-potential athletes.
View Article and Find Full Text PDFEnviron Sci Atmos
February 2024
United States Environmental Protection Agency, Office of Research and Development, Durham, NC 27709, USA.
Fine particulate matter (PM) resulting from wildland fire is a significant public health risk in the United States (U.S.).
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