Context: Previous research has shown a weak relationship between intended and actual training load in various sports. Due to variety in group and content, this relationship is expected to be even weaker during group rehabilitation.
Objective: The goal of this study was to examine the relationship between intended and actual training load during sport-specific rehabilitation in a group setting.
Design: Observational study.
Setting: Three outdoor rehabilitation sessions.
Participants: Nine amateur soccer players recovering from lower limb injury participated in the study (age 22 ± 3 y, height 179 ± 9 cm, body mass 75 ± 13 kg).
Main Outcome Measures: We collected physiotherapists' ratings of intended exertion (RIE) and players' ratings of perceived exertion (RPE). Furthermore, Zephyr Bioharness 3 equipped with GPS-trackers provided heart rate and distance data. We computed heart rate-based training loads using Edwards' method and a modified TRIMP.
Results: Overall, we found weak correlations (N = 42) between RIE and RPE (r = 0.35), Edwards' (r = 0.34), TRIMP (r = 0.07), and distance (r = 0.26).
Conclusions: In general, physiotherapists tended to underestimate training loads. To check whether intended training loads are met, it is thus recommended to monitor training loads during rehabilitation.
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http://dx.doi.org/10.1123/jsr.2016-0009 | DOI Listing |
J Sports Med Phys Fitness
January 2025
Department of Biomedical Sciences, University of Sassari, Sassari, Italy.
Background: To gain optimal positioning to make sure the game laws are applied in uniform way, the performance of field referee must be periodically evaluated to have constantly adequate training during a match and during the competitive season. Considering that field Yo-Yo Intermittent Recovery Test-Level 1 is frequently employed in elite team sport players to estimate maximal oxygen uptake (VO
Methods: During off-season, 20 male (21.
J Med Virol
January 2025
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Mathematical models of viral dynamics are crucial in understanding infection trajectories. However, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load data often includes limited sparse observations with significant heterogeneity. This study aims to: (1) understand the impact of patient characteristics in shaping the temporal viral load trajectory and (2) establish a data collection protocol (DCP) to reliably reconstruct individual viral load trajectories.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
National Center for International Research on Green Optoelectronics, Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China.
Ice melting, a common yet complex phenomenon, remains incompletely understood. While theoretical studies suggest that preexisting defects in ice generate "off-lattice" water molecules, triggering bulk ice melting, direct experimental evidence of their form has been lacking as the transparent and transient nature of ice poses significant challenges for observation with current techniques. Here, we introduce an ice-melting-induced lyophilization (IMIL) technique that employs graphene-based nanoprobes to replicate and track liquid evolution within melting bulk ice.
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Department of Clinical Laboratory, Gongli Hospital of Shanghai Pudong New Area, Shanghai, 200135, China.
Background: Lenvatinib is an oral tyrosine kinase inhibitor that selectively inhib-its receptors involved in tumor angiogenesis and tumor growth. It is an emerging first-line treatment agent for hepatocellular carcinoma (HCC). However, there is no intravenous ad-ministration of Lenvatinib.
View Article and Find Full Text PDFCurr Med Chem
January 2025
Shree S. K. Patel College of Pharmaceutical Education and Research, Ganpat University, Kherva, 384012, India.
Aims: This study aimed to develop Imatinib Mesylate (IMT)-loaded Poly Lactic-co-Glycolic Acid (PLGA)-D-α-tocopheryl polyethylene glycol succinate (TPGS)- Polyethylene glycol (PEG) hybrid nanoparticles (CSLHNPs) with optimized physicochemical properties for targeted delivery to glioblastoma multiforme.
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