Comparative analysis of perceived exertion and objective physiological standards of load intensity in the exercise test among skilled cross-country skiers
Aim. The paper aims to compare the measurements of perceived exertion with those of objective physiological norms of load intensity by using the lactate (La) data obtained in the ski ergometer test and the treadmill test with respect to the five-zone aerobic intensity scale (Table 1). Materials and...
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description | Aim. The paper aims to compare the measurements of perceived exertion with those of objective physiological norms of load intensity by using the lactate (La) data obtained in the ski ergometer test and the treadmill test with respect to the five-zone aerobic intensity scale (Table 1). Materials and methods. The athletes were asked to participate in a psychophysiological assessment based on the Borg scale. The assessment included five stages, three minutes each. Each stage also assumed an increase in load intensity in accordance with the five-zone aerobic intensity scale. The Concept2 SkiErg (USA) training tool with the system of continuous motion and the Assault Runner (USA) treadmill with the Stryd power meter synchronized with the PerfPRO (USA) training software (ANT + system) were used for the purpose of the study. The exercise test was performed with simultaneous lactate (La) measurement. The study sample consisted of 20 skilled cross-country skiers (n = 20; age (M ± 5) - 19.65 ± 0.80 years; body weight - 69.78 (M ± 5) ± 6.14 kg; body length (M ± 5) - 176.14 ± 6.09 cm; fat mass (M ± 5) - 10.41 ± 4.23%; BMI (M ± 5) - 22.51 ± 1.99). Statistical analysis of the study results was carried out using the IBM SPSS Statistics v. 23. The study took place at the Institute of Sport, Tourism and Service of the South Ural State University (Russia, Chelyabinsk) at the beginning of the preparatory period (May). Results: statistical assessment of the results obtained with the Shapiro-Wilk test allowed to identify that the lowest values of the SkiErg exercise test were found at the anaerobic threshold (AnT, intensity zone 4) (W, p = 0.054) and within the aerobic intensity zone 1 (W, p = 0.008). Conclusion: a 10-point scale with evenly distributed lactate values can be used for subjective assessment of aerobic physical activity. The inability of athletes to assess themselves in terms of functional fitness allowed to identify their tactical level and expected physical performance. From a physiological point of view, further improvement of aerobic performance can be achieved through the increase of aerobic power of arm, trunk and leg muscles. |
doi_str_mv | 10.7752/jpes.2022.07224 |
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The paper aims to compare the measurements of perceived exertion with those of objective physiological norms of load intensity by using the lactate (La) data obtained in the ski ergometer test and the treadmill test with respect to the five-zone aerobic intensity scale (Table 1). Materials and methods. The athletes were asked to participate in a psychophysiological assessment based on the Borg scale. The assessment included five stages, three minutes each. Each stage also assumed an increase in load intensity in accordance with the five-zone aerobic intensity scale. The Concept2 SkiErg (USA) training tool with the system of continuous motion and the Assault Runner (USA) treadmill with the Stryd power meter synchronized with the PerfPRO (USA) training software (ANT + system) were used for the purpose of the study. The exercise test was performed with simultaneous lactate (La) measurement. The study sample consisted of 20 skilled cross-country skiers (n = 20; age (M ± 5) - 19.65 ± 0.80 years; body weight - 69.78 (M ± 5) ± 6.14 kg; body length (M ± 5) - 176.14 ± 6.09 cm; fat mass (M ± 5) - 10.41 ± 4.23%; BMI (M ± 5) - 22.51 ± 1.99). Statistical analysis of the study results was carried out using the IBM SPSS Statistics v. 23. The study took place at the Institute of Sport, Tourism and Service of the South Ural State University (Russia, Chelyabinsk) at the beginning of the preparatory period (May). Results: statistical assessment of the results obtained with the Shapiro-Wilk test allowed to identify that the lowest values of the SkiErg exercise test were found at the anaerobic threshold (AnT, intensity zone 4) (W, p = 0.054) and within the aerobic intensity zone 1 (W, p = 0.008). Conclusion: a 10-point scale with evenly distributed lactate values can be used for subjective assessment of aerobic physical activity. The inability of athletes to assess themselves in terms of functional fitness allowed to identify their tactical level and expected physical performance. From a physiological point of view, further improvement of aerobic performance can be achieved through the increase of aerobic power of arm, trunk and leg muscles.</description><identifier>ISSN: 2247-8051</identifier><identifier>EISSN: 2247-806X</identifier><identifier>DOI: 10.7752/jpes.2022.07224</identifier><language>eng</language><publisher>Pitesti: Universitatea din Pitesti</publisher><subject>Anaerobic threshold ; Anatomy ; Athletes ; Body Weight ; Comparative analysis ; Coping ; Correlation ; Cross country skiing ; Exercise ; Fitness equipment ; Heart rate ; Instructional Effectiveness ; Measurement Techniques ; Motor Reactions ; Physical Activities ; Physical fitness ; Physiology ; Scientific Concepts ; Software ; Statistical analysis ; Tourism</subject><ispartof>Journal of Physical Education and Sport, 2022-07, Vol.22 (7), p.1799-1803</ispartof><rights>2022. This work is published under https://creativecommons.org/licenses/by-nc-nd/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Bakhareva, Anastasia S</creatorcontrib><creatorcontrib>Aminov, Albert S</creatorcontrib><creatorcontrib>Cherepanov, Vadim S</creatorcontrib><creatorcontrib>Latypova, Elvira F</creatorcontrib><creatorcontrib>Stepanov, Dmitriy S</creatorcontrib><title>Comparative analysis of perceived exertion and objective physiological standards of load intensity in the exercise test among skilled cross-country skiers</title><title>Journal of Physical Education and Sport</title><description>Aim. The paper aims to compare the measurements of perceived exertion with those of objective physiological norms of load intensity by using the lactate (La) data obtained in the ski ergometer test and the treadmill test with respect to the five-zone aerobic intensity scale (Table 1). Materials and methods. The athletes were asked to participate in a psychophysiological assessment based on the Borg scale. The assessment included five stages, three minutes each. Each stage also assumed an increase in load intensity in accordance with the five-zone aerobic intensity scale. The Concept2 SkiErg (USA) training tool with the system of continuous motion and the Assault Runner (USA) treadmill with the Stryd power meter synchronized with the PerfPRO (USA) training software (ANT + system) were used for the purpose of the study. The exercise test was performed with simultaneous lactate (La) measurement. The study sample consisted of 20 skilled cross-country skiers (n = 20; age (M ± 5) - 19.65 ± 0.80 years; body weight - 69.78 (M ± 5) ± 6.14 kg; body length (M ± 5) - 176.14 ± 6.09 cm; fat mass (M ± 5) - 10.41 ± 4.23%; BMI (M ± 5) - 22.51 ± 1.99). Statistical analysis of the study results was carried out using the IBM SPSS Statistics v. 23. The study took place at the Institute of Sport, Tourism and Service of the South Ural State University (Russia, Chelyabinsk) at the beginning of the preparatory period (May). Results: statistical assessment of the results obtained with the Shapiro-Wilk test allowed to identify that the lowest values of the SkiErg exercise test were found at the anaerobic threshold (AnT, intensity zone 4) (W, p = 0.054) and within the aerobic intensity zone 1 (W, p = 0.008). Conclusion: a 10-point scale with evenly distributed lactate values can be used for subjective assessment of aerobic physical activity. The inability of athletes to assess themselves in terms of functional fitness allowed to identify their tactical level and expected physical performance. From a physiological point of view, further improvement of aerobic performance can be achieved through the increase of aerobic power of arm, trunk and leg muscles.</description><subject>Anaerobic threshold</subject><subject>Anatomy</subject><subject>Athletes</subject><subject>Body Weight</subject><subject>Comparative analysis</subject><subject>Coping</subject><subject>Correlation</subject><subject>Cross country skiing</subject><subject>Exercise</subject><subject>Fitness equipment</subject><subject>Heart rate</subject><subject>Instructional Effectiveness</subject><subject>Measurement Techniques</subject><subject>Motor Reactions</subject><subject>Physical Activities</subject><subject>Physical fitness</subject><subject>Physiology</subject><subject>Scientific Concepts</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Tourism</subject><issn>2247-8051</issn><issn>2247-806X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9UMtOwzAQtBBIVKVnrpY4p_jRxM4RVbykShzgwK1y7U3rkMbB6yD6K3wtpiAuu6OZ2dnVEnLJ2VypUly3A-BcMCHmTAmxOCGTXFWhWfV6-o9Lfk5miC1jjDNZSllPyNcy7AcTTfIfQE1vugN6pKGhA0QLmXQUPiEmH_osOxo2Ldijedhla-jC1lvTUUxZNdEdZ7tgHPV9gh59OmRE0w6OOdYj0ASYqNmHfkvxzXdd3mFjQCxsGPsUDz8sRLwgZ43pEGZ_fUqe725flg_F6un-cXmzKoZap0IZzYWyNS83XDtrBVcahHG2qRrJq0aLklu7UVqo2lWgLSxqaFjFXO2EM3JKrn5Thxjex3zZug1jzI_AtVBiIXlZ61J-A5G4b7g</recordid><startdate>20220701</startdate><enddate>20220701</enddate><creator>Bakhareva, Anastasia S</creator><creator>Aminov, Albert S</creator><creator>Cherepanov, Vadim S</creator><creator>Latypova, Elvira F</creator><creator>Stepanov, Dmitriy S</creator><general>Universitatea din Pitesti</general><scope>0-V</scope><scope>3V.</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88B</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BYOGL</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>M0P</scope><scope>M0R</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20220701</creationdate><title>Comparative analysis of perceived exertion and objective physiological standards of load intensity in the exercise test among skilled cross-country skiers</title><author>Bakhareva, Anastasia S ; Aminov, Albert S ; Cherepanov, Vadim S ; Latypova, Elvira F ; Stepanov, Dmitriy S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p98t-7a8127c915b18dcc2178e2adcf6f316f8251ccb78279d6e8ce49ef060d9d2da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Anaerobic threshold</topic><topic>Anatomy</topic><topic>Athletes</topic><topic>Body Weight</topic><topic>Comparative analysis</topic><topic>Coping</topic><topic>Correlation</topic><topic>Cross country skiing</topic><topic>Exercise</topic><topic>Fitness equipment</topic><topic>Heart rate</topic><topic>Instructional Effectiveness</topic><topic>Measurement Techniques</topic><topic>Motor Reactions</topic><topic>Physical Activities</topic><topic>Physical fitness</topic><topic>Physiology</topic><topic>Scientific Concepts</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Tourism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bakhareva, Anastasia S</creatorcontrib><creatorcontrib>Aminov, Albert S</creatorcontrib><creatorcontrib>Cherepanov, Vadim S</creatorcontrib><creatorcontrib>Latypova, Elvira F</creatorcontrib><creatorcontrib>Stepanov, Dmitriy S</creatorcontrib><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>East Europe, Central Europe Database</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Education Database</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of Physical Education and Sport</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bakhareva, Anastasia S</au><au>Aminov, Albert S</au><au>Cherepanov, Vadim S</au><au>Latypova, Elvira F</au><au>Stepanov, Dmitriy S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative analysis of perceived exertion and objective physiological standards of load intensity in the exercise test among skilled cross-country skiers</atitle><jtitle>Journal of Physical Education and Sport</jtitle><date>2022-07-01</date><risdate>2022</risdate><volume>22</volume><issue>7</issue><spage>1799</spage><epage>1803</epage><pages>1799-1803</pages><issn>2247-8051</issn><eissn>2247-806X</eissn><abstract>Aim. The paper aims to compare the measurements of perceived exertion with those of objective physiological norms of load intensity by using the lactate (La) data obtained in the ski ergometer test and the treadmill test with respect to the five-zone aerobic intensity scale (Table 1). Materials and methods. The athletes were asked to participate in a psychophysiological assessment based on the Borg scale. The assessment included five stages, three minutes each. Each stage also assumed an increase in load intensity in accordance with the five-zone aerobic intensity scale. The Concept2 SkiErg (USA) training tool with the system of continuous motion and the Assault Runner (USA) treadmill with the Stryd power meter synchronized with the PerfPRO (USA) training software (ANT + system) were used for the purpose of the study. The exercise test was performed with simultaneous lactate (La) measurement. The study sample consisted of 20 skilled cross-country skiers (n = 20; age (M ± 5) - 19.65 ± 0.80 years; body weight - 69.78 (M ± 5) ± 6.14 kg; body length (M ± 5) - 176.14 ± 6.09 cm; fat mass (M ± 5) - 10.41 ± 4.23%; BMI (M ± 5) - 22.51 ± 1.99). Statistical analysis of the study results was carried out using the IBM SPSS Statistics v. 23. The study took place at the Institute of Sport, Tourism and Service of the South Ural State University (Russia, Chelyabinsk) at the beginning of the preparatory period (May). Results: statistical assessment of the results obtained with the Shapiro-Wilk test allowed to identify that the lowest values of the SkiErg exercise test were found at the anaerobic threshold (AnT, intensity zone 4) (W, p = 0.054) and within the aerobic intensity zone 1 (W, p = 0.008). Conclusion: a 10-point scale with evenly distributed lactate values can be used for subjective assessment of aerobic physical activity. The inability of athletes to assess themselves in terms of functional fitness allowed to identify their tactical level and expected physical performance. From a physiological point of view, further improvement of aerobic performance can be achieved through the increase of aerobic power of arm, trunk and leg muscles.</abstract><cop>Pitesti</cop><pub>Universitatea din Pitesti</pub><doi>10.7752/jpes.2022.07224</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Anaerobic threshold Anatomy Athletes Body Weight Comparative analysis Coping Correlation Cross country skiing Exercise Fitness equipment Heart rate Instructional Effectiveness Measurement Techniques Motor Reactions Physical Activities Physical fitness Physiology Scientific Concepts Software Statistical analysis Tourism |
title | Comparative analysis of perceived exertion and objective physiological standards of load intensity in the exercise test among skilled cross-country skiers |
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