Selected Determinants of Acceleration in the 100m Sprint
The goal of this study was to examine the relationship between kinematics, motor abilities, anthropometric characteristics, and the initial (10 m) and secondary (30 m) acceleration phases of the 100 m sprint among athletes of different sprinting performances. Eleven competitive male sprinters (10.96...
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Veröffentlicht in: | Journal of human kinetics 2015-03, Vol.45 (1), p.135-148 |
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description | The goal of this study was to examine the relationship between kinematics, motor abilities, anthropometric characteristics, and the initial (10 m) and secondary (30 m) acceleration phases of the 100 m sprint among athletes of different sprinting performances. Eleven competitive male sprinters (10.96 s ± 0.36 for 100 with 10.50 s fastest time) and 11 active students (12.20 s ± 0.39 for 100 m with 11.80 s fastest time) volunteered to participate in this study. Sprinting performance (10 m, 30 m, and 100 m from the block start), strength (back squat, back extension), and jumping ability (standing long jump, standing five-jumps, and standing ten-jumps) were tested. An independent t-test for establishing differences between two groups of athletes was used. The Spearman ranking correlation coefficient was computed to verify the association between variables. Additionally, the Ward method of hierarchical cluster analysis was applied. The recorded times of the 10 and 30 m indicated that the strongest correlations were found between a 1- repetition maximum back squat, a standing long jump, standing five jumps, standing ten jumps (r = 0.66, r = 0.72, r = 0.66, and r = 0.72), and speed in the 10 m sprint in competitive athletes. A strong correlation was also found between a 1-repetition maximum back squat and a standing long jump, standing five jumps, and standing ten jumps (r = 0.88, r = 0.87 and r = 0.85), but again only for sprinters. The most important factor for differences in maximum speed development during both the initial and secondary acceleration phase among the two sub-groups was the stride frequency (p |
doi_str_mv | 10.1515/hukin-2015-0014 |
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Eleven competitive male sprinters (10.96 s ± 0.36 for 100 with 10.50 s fastest time) and 11 active students (12.20 s ± 0.39 for 100 m with 11.80 s fastest time) volunteered to participate in this study. Sprinting performance (10 m, 30 m, and 100 m from the block start), strength (back squat, back extension), and jumping ability (standing long jump, standing five-jumps, and standing ten-jumps) were tested. An independent t-test for establishing differences between two groups of athletes was used. The Spearman ranking correlation coefficient was computed to verify the association between variables. Additionally, the Ward method of hierarchical cluster analysis was applied. The recorded times of the 10 and 30 m indicated that the strongest correlations were found between a 1- repetition maximum back squat, a standing long jump, standing five jumps, standing ten jumps (r = 0.66, r = 0.72, r = 0.66, and r = 0.72), and speed in the 10 m sprint in competitive athletes. A strong correlation was also found between a 1-repetition maximum back squat and a standing long jump, standing five jumps, and standing ten jumps (r = 0.88, r = 0.87 and r = 0.85), but again only for sprinters. The most important factor for differences in maximum speed development during both the initial and secondary acceleration phase among the two sub-groups was the stride frequency (p<0.01).</description><identifier>ISSN: 1640-5544</identifier><identifier>ISSN: 1899-7562</identifier><identifier>EISSN: 1899-7562</identifier><identifier>DOI: 10.1515/hukin-2015-0014</identifier><identifier>PMID: 25964817</identifier><language>eng</language><publisher>Poland: De Gruyter Open</publisher><subject>acceleration phase ; horizontal jumps ; muscle strength ; stride characteristics</subject><ispartof>Journal of human kinetics, 2015-03, Vol.45 (1), p.135-148</ispartof><rights>Editorial Committee of Journal of Human Kinetics 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c513t-b5cad4718fd30c43c80b9f6eca83f28738a78a89c8952aadb81feebe688c65ed3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415826/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415826/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25964817$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Maćkała, Krzysztof</creatorcontrib><creatorcontrib>Fostiak, Marek</creatorcontrib><creatorcontrib>Kowalski, Kacper</creatorcontrib><title>Selected Determinants of Acceleration in the 100m Sprint</title><title>Journal of human kinetics</title><addtitle>J Hum Kinet</addtitle><description>The goal of this study was to examine the relationship between kinematics, motor abilities, anthropometric characteristics, and the initial (10 m) and secondary (30 m) acceleration phases of the 100 m sprint among athletes of different sprinting performances. Eleven competitive male sprinters (10.96 s ± 0.36 for 100 with 10.50 s fastest time) and 11 active students (12.20 s ± 0.39 for 100 m with 11.80 s fastest time) volunteered to participate in this study. Sprinting performance (10 m, 30 m, and 100 m from the block start), strength (back squat, back extension), and jumping ability (standing long jump, standing five-jumps, and standing ten-jumps) were tested. An independent t-test for establishing differences between two groups of athletes was used. The Spearman ranking correlation coefficient was computed to verify the association between variables. Additionally, the Ward method of hierarchical cluster analysis was applied. The recorded times of the 10 and 30 m indicated that the strongest correlations were found between a 1- repetition maximum back squat, a standing long jump, standing five jumps, standing ten jumps (r = 0.66, r = 0.72, r = 0.66, and r = 0.72), and speed in the 10 m sprint in competitive athletes. A strong correlation was also found between a 1-repetition maximum back squat and a standing long jump, standing five jumps, and standing ten jumps (r = 0.88, r = 0.87 and r = 0.85), but again only for sprinters. The most important factor for differences in maximum speed development during both the initial and secondary acceleration phase among the two sub-groups was the stride frequency (p<0.01).</description><subject>acceleration phase</subject><subject>horizontal jumps</subject><subject>muscle strength</subject><subject>stride characteristics</subject><issn>1640-5544</issn><issn>1899-7562</issn><issn>1899-7562</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp1kEtLxTAQRoMoKuranXTpppo0j04XCuIbBBfqOqTp1FttU01S5f57c70qujCbDMzJN5NDyC6jB0wyeTibnjuXF5TJnFImVsgmg6rKS6mK1VQrQXMphdggOyE80XRUUQrO18lGISslgJWbBO6wRxuxyc4woh86Z1wM2dhmJ9amljexG13WuSzOMGOUDtndi-9c3CZrrekD7nzdW-Th4vz-9Cq_ub28Pj25ya1kPOa1tKYRJYO24dQKboHWVavQGuBtASUHU4KBykIlC2OaGliLWKMCsEpiw7fI8TL3ZaoHbCy66E2v0w6D8XM9mk7_7bhuph_HNy0Ek1CoFLD_FeDH1wlD1EMX0td643CcgmYKaClAFjKhh0vU-jEEj-3PGEb1Qrn-VK4XyvVCeXqx93u7H_5bcAKOlsC76ZPfBh_9NE-Ffhon75K4_6KFZIxL_gHiqpJD</recordid><startdate>20150301</startdate><enddate>20150301</enddate><creator>Maćkała, Krzysztof</creator><creator>Fostiak, Marek</creator><creator>Kowalski, Kacper</creator><general>De Gruyter Open</general><general>Akademia Wychowania Fizycznego w Katowicach</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20150301</creationdate><title>Selected Determinants of Acceleration in the 100m Sprint</title><author>Maćkała, Krzysztof ; Fostiak, Marek ; Kowalski, Kacper</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c513t-b5cad4718fd30c43c80b9f6eca83f28738a78a89c8952aadb81feebe688c65ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>acceleration phase</topic><topic>horizontal jumps</topic><topic>muscle strength</topic><topic>stride characteristics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maćkała, Krzysztof</creatorcontrib><creatorcontrib>Fostiak, Marek</creatorcontrib><creatorcontrib>Kowalski, Kacper</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of human kinetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Maćkała, Krzysztof</au><au>Fostiak, Marek</au><au>Kowalski, Kacper</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Selected Determinants of Acceleration in the 100m Sprint</atitle><jtitle>Journal of human kinetics</jtitle><addtitle>J Hum Kinet</addtitle><date>2015-03-01</date><risdate>2015</risdate><volume>45</volume><issue>1</issue><spage>135</spage><epage>148</epage><pages>135-148</pages><issn>1640-5544</issn><issn>1899-7562</issn><eissn>1899-7562</eissn><abstract>The goal of this study was to examine the relationship between kinematics, motor abilities, anthropometric characteristics, and the initial (10 m) and secondary (30 m) acceleration phases of the 100 m sprint among athletes of different sprinting performances. Eleven competitive male sprinters (10.96 s ± 0.36 for 100 with 10.50 s fastest time) and 11 active students (12.20 s ± 0.39 for 100 m with 11.80 s fastest time) volunteered to participate in this study. Sprinting performance (10 m, 30 m, and 100 m from the block start), strength (back squat, back extension), and jumping ability (standing long jump, standing five-jumps, and standing ten-jumps) were tested. An independent t-test for establishing differences between two groups of athletes was used. The Spearman ranking correlation coefficient was computed to verify the association between variables. Additionally, the Ward method of hierarchical cluster analysis was applied. The recorded times of the 10 and 30 m indicated that the strongest correlations were found between a 1- repetition maximum back squat, a standing long jump, standing five jumps, standing ten jumps (r = 0.66, r = 0.72, r = 0.66, and r = 0.72), and speed in the 10 m sprint in competitive athletes. A strong correlation was also found between a 1-repetition maximum back squat and a standing long jump, standing five jumps, and standing ten jumps (r = 0.88, r = 0.87 and r = 0.85), but again only for sprinters. The most important factor for differences in maximum speed development during both the initial and secondary acceleration phase among the two sub-groups was the stride frequency (p<0.01).</abstract><cop>Poland</cop><pub>De Gruyter Open</pub><pmid>25964817</pmid><doi>10.1515/hukin-2015-0014</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | acceleration phase horizontal jumps muscle strength stride characteristics |
title | Selected Determinants of Acceleration in the 100m Sprint |
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