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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.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Twelve healthy women (23.6\u2009\u00b1\u20091.83\u00a0years, 158.2\u2009\u00b1\u20095.33\u00a0cm, 53.1\u2009\u00b1\u20097.50\u00a0kg) were recruited as participants. Triaxial accelerometers were affixed 3\u00a0cm 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\u00a0s 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\u2019s correlation was used to determine the correlation between the acceleration and GRF per body weight on land (GRF<jats:sub>V<\/jats:sub>L<jats:sub>BW<\/jats:sub>). Backward regression analysis was used to generate GRF<jats:sub>V<\/jats:sub>L<jats:sub>BW<\/jats:sub> 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<jats:sub>V<\/jats:sub>L<jats:sub>BW<\/jats:sub> differences between values from the prediction equation and force plate measurement during validation. Lin\u2019s CCC and Bland\u2013Altman plots were used to determine the agreement between the predicted and force plate-measured GRF<jats:sub>V<\/jats:sub>L<jats:sub>BW<\/jats:sub>.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>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\u2009\u2212\u20091.712\u2009+\u20090.658 * C7ACC\u2009+\u20090.016 * PWDH\u2009+\u20090.008 * age\u2009+\u20090.003*weight. Lin\u2019s CCC score was 0.7453, with bias of 0.369%.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>The resultant acceleration measured at C7 was identified as the valid estimated GRF<jats:sub>V<\/jats:sub>L<jats:sub>BW<\/jats:sub> during CMJ in water.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s13102-021-00389-8","type":"journal-article","created":{"date-parts":[[2022,1,3]],"date-time":"2022-01-03T08:06:58Z","timestamp":1641197218000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Accelerometer-based prediction of ground reaction force in head-out water exercise with different exercise intensity countermovement jump"],"prefix":"10.1186","volume":"14","author":[{"given":"Kuei-Yu","family":"Chien","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei-Gang","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wan-Chin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong-Jun","family":"Liou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,3]]},"reference":[{"issue":"8","key":"389_CR1","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.1007\/s40279-016-0494-0","volume":"46","author":"J Xu","year":"2016","unstructured":"Xu J, Lombardi G, Jiao W, Banfi G. 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