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Effect of Noninvasive Static Human Data on Maximum Data in Exercise
Maximum data in exercise (Max-Ex), including maximum heart rate (HR(max)), peak oxygen uptake (VO(2pk)), maximum power (MaxP), etc., are frequently used, whether it is for the determination of exercise intensity, the measurement of an athlete’s performance, assessment of recovery from disease, and s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861880/ https://www.ncbi.nlm.nih.gov/pubmed/36674365 http://dx.doi.org/10.3390/ijerph20021612 |
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author | Wu, Yichen Sun, Yining |
author_facet | Wu, Yichen Sun, Yining |
author_sort | Wu, Yichen |
collection | PubMed |
description | Maximum data in exercise (Max-Ex), including maximum heart rate (HR(max)), peak oxygen uptake (VO(2pk)), maximum power (MaxP), etc., are frequently used, whether it is for the determination of exercise intensity, the measurement of an athlete’s performance, assessment of recovery from disease, and so on. However, very often this choice does not take into account the targeted individual. We recruited 32 males and 29 females to undergo an incremental graded exercise test (GXT). Therefore, our study seeks to determine variations in Max-Ex, according to the noninvasive static human data (Non-In data). Data showed a significant relationship (p < 0.001) between body composition and Max-Ex. Of the 41 types of Non-In data we collected in communities, the body composition generally showed high correlation (maximum r = 0.839). 57.5% of the data, of which r > 0.6 were about body composition. The muscle-related body composition data had a greater effect on power, and the fat-related ones had a greater effect on HR(max) and VO(2pk). For some types of Max-Ex, the older and younger ones showed specific differences. Therefore, these results can be employed to adequately prescribe personalized health promotion programs according to diversity and availability, and have some reference value for other studies using Max-Ex. |
format | Online Article Text |
id | pubmed-9861880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98618802023-01-22 Effect of Noninvasive Static Human Data on Maximum Data in Exercise Wu, Yichen Sun, Yining Int J Environ Res Public Health Article Maximum data in exercise (Max-Ex), including maximum heart rate (HR(max)), peak oxygen uptake (VO(2pk)), maximum power (MaxP), etc., are frequently used, whether it is for the determination of exercise intensity, the measurement of an athlete’s performance, assessment of recovery from disease, and so on. However, very often this choice does not take into account the targeted individual. We recruited 32 males and 29 females to undergo an incremental graded exercise test (GXT). Therefore, our study seeks to determine variations in Max-Ex, according to the noninvasive static human data (Non-In data). Data showed a significant relationship (p < 0.001) between body composition and Max-Ex. Of the 41 types of Non-In data we collected in communities, the body composition generally showed high correlation (maximum r = 0.839). 57.5% of the data, of which r > 0.6 were about body composition. The muscle-related body composition data had a greater effect on power, and the fat-related ones had a greater effect on HR(max) and VO(2pk). For some types of Max-Ex, the older and younger ones showed specific differences. Therefore, these results can be employed to adequately prescribe personalized health promotion programs according to diversity and availability, and have some reference value for other studies using Max-Ex. MDPI 2023-01-16 /pmc/articles/PMC9861880/ /pubmed/36674365 http://dx.doi.org/10.3390/ijerph20021612 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wu, Yichen Sun, Yining Effect of Noninvasive Static Human Data on Maximum Data in Exercise |
title | Effect of Noninvasive Static Human Data on Maximum Data in Exercise |
title_full | Effect of Noninvasive Static Human Data on Maximum Data in Exercise |
title_fullStr | Effect of Noninvasive Static Human Data on Maximum Data in Exercise |
title_full_unstemmed | Effect of Noninvasive Static Human Data on Maximum Data in Exercise |
title_short | Effect of Noninvasive Static Human Data on Maximum Data in Exercise |
title_sort | effect of noninvasive static human data on maximum data in exercise |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861880/ https://www.ncbi.nlm.nih.gov/pubmed/36674365 http://dx.doi.org/10.3390/ijerph20021612 |
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