Utkarsh Singh, Akhilesh Kumar Ramachandran, Brett A Baxter, Sam J Allen
{"title":"全身运动的力量-速度-功率关系与 20 米和 60 米短跑成绩的相关性。","authors":"Utkarsh Singh, Akhilesh Kumar Ramachandran, Brett A Baxter, Sam J Allen","doi":"10.1080/14763141.2021.1951344","DOIUrl":null,"url":null,"abstract":"<p><p>Sprinting ability is important for successful performance in sports. The aim of this study was to examine the correlation between force-velocity-power relationship of a whole-body movement and sprint performance. Twelve male participants performed maximal squat jumps with additional loads ranging from 0% to 100% body weight to obtain force-velocity profiles. The mean force and velocity were calculated during the push-off phase for each jump, which resulted in a force-velocity curve. The theoretical maximal force (F<sub>0</sub>), theoretical maximal velocity (V<sub>0</sub>) and theoretical maximum power (P<sub>0</sub>) were computed via extrapolation of the force and velocity data. In the second session, participants performed two 60 m sprints and the time to cover 20 m (t<sub>20</sub>), time to cover 60 m (t<sub>60</sub>), and maximum sprint velocity (V<sub>max</sub>) were calculated from the best 60 m trial. Correlation analyses revealed strong and significant correlations between V<sub>0</sub> and t<sub>20</sub> (r = -0.60), V<sub>0</sub> and t<sub>60</sub> (r = -0.60), P<sub>0</sub> and t<sub>20</sub> (r = -0.75) and P<sub>0</sub> and t<sub>60</sub> (r = -0.78). Multiple linear regression indicated that P<sub>0</sub> explained 56%, 61% and 60% of the variability in t<sub>20</sub>, t<sub>60</sub> and V<sub>max</sub>, respectively. Our results emphasise the importance of developing power production capabilities to improve sprint performance.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The correlation of force-velocity-power relationship of a whole-body movement with 20 m and 60 m sprint performance.\",\"authors\":\"Utkarsh Singh, Akhilesh Kumar Ramachandran, Brett A Baxter, Sam J Allen\",\"doi\":\"10.1080/14763141.2021.1951344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Sprinting ability is important for successful performance in sports. The aim of this study was to examine the correlation between force-velocity-power relationship of a whole-body movement and sprint performance. Twelve male participants performed maximal squat jumps with additional loads ranging from 0% to 100% body weight to obtain force-velocity profiles. The mean force and velocity were calculated during the push-off phase for each jump, which resulted in a force-velocity curve. The theoretical maximal force (F<sub>0</sub>), theoretical maximal velocity (V<sub>0</sub>) and theoretical maximum power (P<sub>0</sub>) were computed via extrapolation of the force and velocity data. In the second session, participants performed two 60 m sprints and the time to cover 20 m (t<sub>20</sub>), time to cover 60 m (t<sub>60</sub>), and maximum sprint velocity (V<sub>max</sub>) were calculated from the best 60 m trial. Correlation analyses revealed strong and significant correlations between V<sub>0</sub> and t<sub>20</sub> (r = -0.60), V<sub>0</sub> and t<sub>60</sub> (r = -0.60), P<sub>0</sub> and t<sub>20</sub> (r = -0.75) and P<sub>0</sub> and t<sub>60</sub> (r = -0.78). Multiple linear regression indicated that P<sub>0</sub> explained 56%, 61% and 60% of the variability in t<sub>20</sub>, t<sub>60</sub> and V<sub>max</sub>, respectively. Our results emphasise the importance of developing power production capabilities to improve sprint performance.</p>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/14763141.2021.1951344\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/7/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/14763141.2021.1951344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/7/21 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
The correlation of force-velocity-power relationship of a whole-body movement with 20 m and 60 m sprint performance.
Sprinting ability is important for successful performance in sports. The aim of this study was to examine the correlation between force-velocity-power relationship of a whole-body movement and sprint performance. Twelve male participants performed maximal squat jumps with additional loads ranging from 0% to 100% body weight to obtain force-velocity profiles. The mean force and velocity were calculated during the push-off phase for each jump, which resulted in a force-velocity curve. The theoretical maximal force (F0), theoretical maximal velocity (V0) and theoretical maximum power (P0) were computed via extrapolation of the force and velocity data. In the second session, participants performed two 60 m sprints and the time to cover 20 m (t20), time to cover 60 m (t60), and maximum sprint velocity (Vmax) were calculated from the best 60 m trial. Correlation analyses revealed strong and significant correlations between V0 and t20 (r = -0.60), V0 and t60 (r = -0.60), P0 and t20 (r = -0.75) and P0 and t60 (r = -0.78). Multiple linear regression indicated that P0 explained 56%, 61% and 60% of the variability in t20, t60 and Vmax, respectively. Our results emphasise the importance of developing power production capabilities to improve sprint performance.