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Accelerometer-based prediction of ground reaction force in head-out water exercise with different exercise intensity countermovement jump

BACKGROUND: Water jumping exercise is an alternative method to achieve maintenance of bone health and reduce exercise injuries. Clarifying the ground reaction force (GRF) of moderate and high cardiopulmonary exercise intensities for jumping movements can help quantify the impact force during differe...

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Autores principales: Chien, Kuei-Yu, Chang, Wei-Gang, Chen, Wan-Chin, Liou, Rong-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721978/
https://www.ncbi.nlm.nih.gov/pubmed/34980248
http://dx.doi.org/10.1186/s13102-021-00389-8
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author Chien, Kuei-Yu
Chang, Wei-Gang
Chen, Wan-Chin
Liou, Rong-Jun
author_facet Chien, Kuei-Yu
Chang, Wei-Gang
Chen, Wan-Chin
Liou, Rong-Jun
author_sort Chien, Kuei-Yu
collection PubMed
description BACKGROUND: Water jumping exercise is an alternative method to achieve maintenance of bone health and reduce exercise injuries. Clarifying the ground reaction force (GRF) of moderate and high cardiopulmonary exercise intensities for jumping movements can help quantify the impact force during different exercise intensities. Accelerometers have been explored for measuring skeletal mechanical loading by estimating the GRFs. Predictive regression equations for GRF using ACC on land have already been developed and performed outside laboratory settings, whereas a predictive regression equation for GRF in water exercises is not yet established. The purpose of this study was to determine the best accelerometer wear-position for three exercise intensities and develop and validate the ground reaction force (GRF) prediction equation. METHODS: Twelve healthy women (23.6 ± 1.83 years, 158.2 ± 5.33 cm, 53.1 ± 7.50 kg) were recruited as participants. Triaxial accelerometers were affixed 3 cm above the medial malleolus of the tibia, fifth lumbar vertebra, and seventh cervical vertebra (C7). The countermovement jump (CMJ) cadence started at 80 beats/min and increased by 5 beats per 20 s to reach 50%, 65%, and 80% heart rate reserves, and then participants jumped five more times. One-way repeated analysis of variance was used to determine acceleration differences among wear-positions and exercise intensities. Pearson’s correlation was used to determine the correlation between the acceleration and GRF per body weight on land (GRF(V)L(BW)). Backward regression analysis was used to generate GRF(V)L(BW) prediction equations from full models with C7 acceleration (C7 ACC), age, percentage of water deep divided by body height (PWDH), and bodyweight as predictors. Paired t-test was used to determine GRF(V)L(BW) differences between values from the prediction equation and force plate measurement during validation. Lin’s CCC and Bland–Altman plots were used to determine the agreement between the predicted and force plate-measured GRF(V)L(BW). RESULTS: The raw full profile data for the resultant acceleration showed that the acceleration curve of C7 was similar to that of GRFv. The predicted formula was − 1.712 + 0.658 * C7ACC + 0.016 * PWDH + 0.008 * age + 0.003*weight. Lin’s CCC score was 0.7453, with bias of 0.369%. CONCLUSION: The resultant acceleration measured at C7 was identified as the valid estimated GRF(V)L(BW) during CMJ in water.
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spelling pubmed-87219782022-01-06 Accelerometer-based prediction of ground reaction force in head-out water exercise with different exercise intensity countermovement jump Chien, Kuei-Yu Chang, Wei-Gang Chen, Wan-Chin Liou, Rong-Jun BMC Sports Sci Med Rehabil Research BACKGROUND: Water jumping exercise is an alternative method to achieve maintenance of bone health and reduce exercise injuries. Clarifying the ground reaction force (GRF) of moderate and high cardiopulmonary exercise intensities for jumping movements can help quantify the impact force during different exercise intensities. Accelerometers have been explored for measuring skeletal mechanical loading by estimating the GRFs. Predictive regression equations for GRF using ACC on land have already been developed and performed outside laboratory settings, whereas a predictive regression equation for GRF in water exercises is not yet established. The purpose of this study was to determine the best accelerometer wear-position for three exercise intensities and develop and validate the ground reaction force (GRF) prediction equation. METHODS: Twelve healthy women (23.6 ± 1.83 years, 158.2 ± 5.33 cm, 53.1 ± 7.50 kg) were recruited as participants. Triaxial accelerometers were affixed 3 cm above the medial malleolus of the tibia, fifth lumbar vertebra, and seventh cervical vertebra (C7). The countermovement jump (CMJ) cadence started at 80 beats/min and increased by 5 beats per 20 s to reach 50%, 65%, and 80% heart rate reserves, and then participants jumped five more times. One-way repeated analysis of variance was used to determine acceleration differences among wear-positions and exercise intensities. Pearson’s correlation was used to determine the correlation between the acceleration and GRF per body weight on land (GRF(V)L(BW)). Backward regression analysis was used to generate GRF(V)L(BW) prediction equations from full models with C7 acceleration (C7 ACC), age, percentage of water deep divided by body height (PWDH), and bodyweight as predictors. Paired t-test was used to determine GRF(V)L(BW) differences between values from the prediction equation and force plate measurement during validation. Lin’s CCC and Bland–Altman plots were used to determine the agreement between the predicted and force plate-measured GRF(V)L(BW). RESULTS: The raw full profile data for the resultant acceleration showed that the acceleration curve of C7 was similar to that of GRFv. The predicted formula was − 1.712 + 0.658 * C7ACC + 0.016 * PWDH + 0.008 * age + 0.003*weight. Lin’s CCC score was 0.7453, with bias of 0.369%. CONCLUSION: The resultant acceleration measured at C7 was identified as the valid estimated GRF(V)L(BW) during CMJ in water. BioMed Central 2022-01-03 /pmc/articles/PMC8721978/ /pubmed/34980248 http://dx.doi.org/10.1186/s13102-021-00389-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chien, Kuei-Yu
Chang, Wei-Gang
Chen, Wan-Chin
Liou, Rong-Jun
Accelerometer-based prediction of ground reaction force in head-out water exercise with different exercise intensity countermovement jump
title Accelerometer-based prediction of ground reaction force in head-out water exercise with different exercise intensity countermovement jump
title_full Accelerometer-based prediction of ground reaction force in head-out water exercise with different exercise intensity countermovement jump
title_fullStr Accelerometer-based prediction of ground reaction force in head-out water exercise with different exercise intensity countermovement jump
title_full_unstemmed Accelerometer-based prediction of ground reaction force in head-out water exercise with different exercise intensity countermovement jump
title_short Accelerometer-based prediction of ground reaction force in head-out water exercise with different exercise intensity countermovement jump
title_sort accelerometer-based prediction of ground reaction force in head-out water exercise with different exercise intensity countermovement jump
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721978/
https://www.ncbi.nlm.nih.gov/pubmed/34980248
http://dx.doi.org/10.1186/s13102-021-00389-8
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