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      A heat and moisture-exchanging mask impairs self-paced maximal running performance in a sub-zero environment

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          Abstract

          Purpose

          Heat-and-moisture-exchanging devices (HME) are commonly used by endurance athletes during training in sub-zero environments, but their effects on performance are unknown. We investigated the influence of HME usage on running performance at − 15 °C.

          Methods

          Twenty-three healthy adults (15 male, 8 female; age 18–53 years; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\dot{V}{\text O}_{2peak}$$\end{document} men 56 ± 7, women 50 ± 4 mL·kg −1·min −1) performed two treadmill exercise tests with and without a mask-style HME in a randomised, crossover design. Participants performed a 30-min submaximal warm-up (SUB), followed by a 4-min maximal, self-paced running time-trial (TT). Heart rate (HR), respiratory frequency ( f R), and thoracic area skin temperature ( T sk) were monitored using a chest-strap device; muscle oxygenation (SmO 2) and deoxyhaemoglobin concentration ([HHb]) were derived from near-infra-red-spectroscopy sensors on m. vastus lateralis; blood lactate was measured 2 min before and after the TT.

          Results

          HME usage reduced distance covered in the TT by 1.4%, despite similar perceived exertion, HR, f R, and lactate accumulation. The magnitude of the negative effect of the HME on performance was positively associated with body mass ( r 2 = 0.22). SmO 2 and [HHb] were 3.1% lower and 0.35 arb. unit higher, respectively, during the TT with HME, and T sk was 0.66 °C higher during the HME TT in men. HR (+ 2.7 beats·min −1) and T sk (+ 0.34 °C) were higher during SUB with HME. In the male participants, SmO 2 was 3.8% lower and [HHb] 0.42 arb. unit higher during SUB with HME.

          Conclusion

          Our findings suggest that HME usage impairs maximal running performance and increases the physiological demands of submaximal exercise.

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          Most cited references45

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          The use of near-infrared spectroscopy in understanding skeletal muscle physiology: recent developments.

          This article provides a snapshot of muscle near-infrared spectroscopy (NIRS) at the end of 2010 summarizing the recent literature, offering the present status and perspectives of the NIRS instrumentation and methods, describing the main NIRS studies on skeletal muscle physiology, posing open questions and outlining future directions. So far, different NIRS techniques (e.g. continuous-wave (CW) and spatially, time- and frequency-resolved spectroscopy) have been used for measuring muscle oxygenation during exercise. In the last four years, approximately 160 muscle NIRS articles have been published on different physiological aspects (primarily muscle oxygenation and haemodynamics) of several upper- and lower-limb muscle groups investigated by using mainly two-channel CW and spatially resolved spectroscopy commercial instruments. Unfortunately, in only 15 of these studies were the advantages of using multi-channel instruments exploited. There are still several open questions in the application of NIRS in muscle studies: (i) whether NIRS can be used in subjects with a large fat layer; (ii) the contribution of myoglobin desaturation to the NIRS signal during exercise; (iii) the effect of scattering changes during exercise; and (iv) the effect of changes in skin perfusion, particularly during prolonged exercise. Recommendations for instrumentation advancements and future muscle NIRS studies are provided.
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            Age-predicted maximal heart rate in healthy subjects: The HUNT fitness study.

            Maximal heart rate (HRmax ) declines substantially with age, but the magnitude and possible modifying effect of gender, body composition, and physical activity are not fully established. The present study examined the relationship between HRmax and age in 3320 healthy men and women within a wide age range using data from the HUNT Fitness Study (2007-2008). Subjects were included if a maximal effort could be verified during a maximal exercise test. General linear modeling was used to determine the effect of age on HRmax . Subsequently, the effects of gender, body mass index (BMI), physical activity status, and maximal oxygen uptake were examined. Mean predicted HRmax by three former prediction formulas were compared with measured HRmax within 10-year age groups. HRmax was univariately explained by the formula 211 - 0.64·age (SEE, 10.8), and we found no evidence of interaction with gender, physical activity, VO2max level, or BMI groups. There were only minor age-adjusted differences in HRmax between these groups. Previously suggested prediction equations underestimated measured HRmax in subjects older than 30 years. HRmax predicted by age alone may be practically convenient for various groups, although a standard error of 10.8 beats/min must be taken into account. HRmax in healthy, older subjects and women were higher than previously reported. © 2012 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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              Respiratory Frequency during Exercise: The Neglected Physiological Measure

              The use of wearable sensor technology for athlete training monitoring is growing exponentially, but some important measures and related wearable devices have received little attention so far. Respiratory frequency (f R), for example, is emerging as a valuable measurement for training monitoring. Despite the availability of unobtrusive wearable devices measuring f R with relatively good accuracy, f R is not commonly monitored during training. Yet f R is currently measured as a vital sign by multiparameter wearable devices in the military field, clinical settings, and occupational activities. When these devices have been used during exercise, f R was used for limited applications like the estimation of the ventilatory threshold. However, more information can be gained from f R. Unlike heart rate, V ˙ O2, and blood lactate, f R is strongly associated with perceived exertion during a variety of exercise paradigms, and under several experimental interventions affecting performance like muscle fatigue, glycogen depletion, heat exposure and hypoxia. This suggests that f R is a strong marker of physical effort. Furthermore, unlike other physiological variables, f R responds rapidly to variations in workload during high-intensity interval training (HIIT), with potential important implications for many sporting activities. This Perspective article aims to (i) present scientific evidence supporting the relevance of f R for training monitoring; (ii) critically revise possible methodologies to measure f R and the accuracy of currently available respiratory wearables; (iii) provide preliminary indication on how to analyze f R data. This viewpoint is expected to advance the field of training monitoring and stimulate directions for future development of sports wearables.
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                Author and article information

                Contributors
                Helen.hanstock@miun.se
                Journal
                Eur J Appl Physiol
                Eur J Appl Physiol
                European Journal of Applied Physiology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1439-6319
                1439-6327
                29 March 2021
                29 March 2021
                2021
                : 121
                : 7
                : 1979-1992
                Affiliations
                [1 ]GRID grid.29050.3e, ISNI 0000 0001 1530 0805, Department of Health Sciences, Swedish Winter Sports Research Centre, , Mid Sweden University, ; Studentplan 4, 831 40 Östersund, Sweden
                [2 ]GRID grid.12650.30, ISNI 0000 0001 1034 3451, Unit of Medicine, Department of Public Health and Clinical Medicine, , Umeå University, ; Umeå, Sweden
                [3 ]GRID grid.10919.30, ISNI 0000000122595234, Faculty of Health Sciences, School of Sport Sciences, , UiT The Arctic University of Norway, ; Tromsø, Norway
                [4 ]GRID grid.29050.3e, ISNI 0000 0001 1530 0805, Department of Quality Management and Mechanical Engineering, Sports Tech Research Centre, , Mid Sweden University, ; Östersund, Sweden
                Author notes

                Communicated by Westerterp/Westerblad.

                Author information
                http://orcid.org/0000-0003-4433-1218
                http://orcid.org/0000-0002-8820-1610
                http://orcid.org/0000-0002-1684-1301
                http://orcid.org/0000-0002-5381-736X
                Article
                4666
                10.1007/s00421-021-04666-9
                8192396
                33782715
                a42493df-0a21-4bf3-8286-a2d3e54260ba
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 November 2020
                : 16 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003793, Hjärt-Lungfonden;
                Award ID: 20190261
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100009778, Region Jämtland Härjedalen;
                Award ID: JLL-931753
                Award Recipient :
                Funded by: Gunhild och Assar Karlssons donationsfond
                Award ID: 2019
                Award Recipient :
                Funded by: Mid Sweden University
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2021

                Anatomy & Physiology
                cold environment,cross-country skiing,exercise-induced bronchoconstriction,nirs,winter sports

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