Significant Predictors of Sports Performance in Elite Men Judo Athletes Based on Multidimensional Regression Models
This research aimed to identify the most significant predictors of sports level using regression modeling. This study examined 16 judokas (aged 23 (±2.5)) from four weight categories, with four athletes in each category (66 kg, 73 kg, 81 kg and 90 kg). Each athlete was a member of the Polish Nationa...
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| Veröffentlicht in: | International journal of environmental research and public health 2020-11, Vol.17 (21), p.8192 |
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| creator | Kostrzewa, Maciej Laskowski, Radosław Wilk, Michal Błach, Wiesław Ignatjeva, Angelina Nitychoruk, Magdalena |
| description | This research aimed to identify the most significant predictors of sports level using regression modeling.
This study examined 16 judokas (aged 23 (±2.5)) from four weight categories, with four athletes in each category (66 kg, 73 kg, 81 kg and 90 kg). Each athlete was a member of the Polish National Team, an international master class (IM) or national master class (M). The tests were carried out twice (every two weeks) during the pre-competitive season in the morning, after a 10-min warm-up. The tests were performed according to the following protocol: Explosive Strength Lower Limbs (ExSLL) [W], Strength Endurance Lower Limbs (SELL) [%], Explosive Strength Upper Limbs (ExSUL) [W], Strength Endurance Upper Limbs (SEUL) [%]. The relationships between the dependent variable (ranking score) and the other analyzed variables (predictors) were estimated using the one-factor ridge regression analysis.
There were significant intergroup and intragroup differences in the results of explosive strength and strength endurance of the lower and upper limbs. The best predictors were identified using regression modeling: ExSLL, SELL, and SEUL.
Increasing the value of these predictors by a unit should significantly affect the scores in the ranking table. Correlation analysis showed that all variables that are strongly correlated with the Polish Judo Association (PJA) ranking table scores may have an effect on the sports performance. |
| doi_str_mv | 10.3390/ijerph17218192 |
| format | Article |
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This study examined 16 judokas (aged 23 (±2.5)) from four weight categories, with four athletes in each category (66 kg, 73 kg, 81 kg and 90 kg). Each athlete was a member of the Polish National Team, an international master class (IM) or national master class (M). The tests were carried out twice (every two weeks) during the pre-competitive season in the morning, after a 10-min warm-up. The tests were performed according to the following protocol: Explosive Strength Lower Limbs (ExSLL) [W], Strength Endurance Lower Limbs (SELL) [%], Explosive Strength Upper Limbs (ExSUL) [W], Strength Endurance Upper Limbs (SEUL) [%]. The relationships between the dependent variable (ranking score) and the other analyzed variables (predictors) were estimated using the one-factor ridge regression analysis.
There were significant intergroup and intragroup differences in the results of explosive strength and strength endurance of the lower and upper limbs. The best predictors were identified using regression modeling: ExSLL, SELL, and SEUL.
Increasing the value of these predictors by a unit should significantly affect the scores in the ranking table. Correlation analysis showed that all variables that are strongly correlated with the Polish Judo Association (PJA) ranking table scores may have an effect on the sports performance.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph17218192</identifier><identifier>PMID: 33171914</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; Athletes ; Athletic Performance ; Biometrics ; Body Weight ; Correlation analysis ; Dependent variables ; Endurance ; Exercise ; Humans ; Limbs ; Lower Extremity ; Male ; Martial Arts ; Modelling ; Physical education ; Ranking ; Regression Analysis ; Sports ; Sports training ; Statistical analysis ; Strength training ; Variables ; Warm up (exercise) ; Young Adult</subject><ispartof>International journal of environmental research and public health, 2020-11, Vol.17 (21), p.8192</ispartof><rights>2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-75a119071b62f52a341763442d4670771c3650d55b14479c767cf12b4eb9b35b3</citedby><cites>FETCH-LOGICAL-c418t-75a119071b62f52a341763442d4670771c3650d55b14479c767cf12b4eb9b35b3</cites><orcidid>0000-0001-5799-6337 ; 0000-0002-1240-6919 ; 0000-0002-3559-9151 ; 0000-0003-2209-0839</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664193/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664193/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33171914$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kostrzewa, Maciej</creatorcontrib><creatorcontrib>Laskowski, Radosław</creatorcontrib><creatorcontrib>Wilk, Michal</creatorcontrib><creatorcontrib>Błach, Wiesław</creatorcontrib><creatorcontrib>Ignatjeva, Angelina</creatorcontrib><creatorcontrib>Nitychoruk, Magdalena</creatorcontrib><title>Significant Predictors of Sports Performance in Elite Men Judo Athletes Based on Multidimensional Regression Models</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>This research aimed to identify the most significant predictors of sports level using regression modeling.
This study examined 16 judokas (aged 23 (±2.5)) from four weight categories, with four athletes in each category (66 kg, 73 kg, 81 kg and 90 kg). Each athlete was a member of the Polish National Team, an international master class (IM) or national master class (M). The tests were carried out twice (every two weeks) during the pre-competitive season in the morning, after a 10-min warm-up. The tests were performed according to the following protocol: Explosive Strength Lower Limbs (ExSLL) [W], Strength Endurance Lower Limbs (SELL) [%], Explosive Strength Upper Limbs (ExSUL) [W], Strength Endurance Upper Limbs (SEUL) [%]. The relationships between the dependent variable (ranking score) and the other analyzed variables (predictors) were estimated using the one-factor ridge regression analysis.
There were significant intergroup and intragroup differences in the results of explosive strength and strength endurance of the lower and upper limbs. The best predictors were identified using regression modeling: ExSLL, SELL, and SEUL.
Increasing the value of these predictors by a unit should significantly affect the scores in the ranking table. Correlation analysis showed that all variables that are strongly correlated with the Polish Judo Association (PJA) ranking table scores may have an effect on the sports performance.</description><subject>Adult</subject><subject>Athletes</subject><subject>Athletic Performance</subject><subject>Biometrics</subject><subject>Body Weight</subject><subject>Correlation analysis</subject><subject>Dependent variables</subject><subject>Endurance</subject><subject>Exercise</subject><subject>Humans</subject><subject>Limbs</subject><subject>Lower Extremity</subject><subject>Male</subject><subject>Martial Arts</subject><subject>Modelling</subject><subject>Physical education</subject><subject>Ranking</subject><subject>Regression Analysis</subject><subject>Sports</subject><subject>Sports training</subject><subject>Statistical analysis</subject><subject>Strength training</subject><subject>Variables</subject><subject>Warm up (exercise)</subject><subject>Young Adult</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkc1PFEEQxSdGIwhePZpOvHhZ6OrP7YsJElAJG4joudPTU7Pbm5nupbvHxP-eISABT1WV-tVLvbym-QD0iHNDj8MW824DmsESDHvV7INSdCEUhdfP-r3mXSlbSvlSKPO22eMcNBgQ-025CesY-uBdrOQ6Yxd8TbmQ1JObXcq1kGvMfcqjix5JiORsCBXJCiO5mLpETupmwIqFfHUFO5IiWU1DDV0YMZaQohvIT1xnLPcDWaUOh3LYvOndUPD9Yz1ofp-f_Tr9vri8-vbj9ORy4QUs60JLB2CohlaxXjLHBWjFhWCdUJpqDZ4rSTspWxBCG6-V9j2wVmBrWi5bftB8edDdTe2IncdYsxvsLofR5b82uWBfbmLY2HX6Y7VSAgyfBT4_CuR0O2GpdgzF4zC4iGkqlglpFJNMsBn99B-6TVOe7c-U4lRSw5Z6po4eKJ9TKRn7p2eA2vs87cs854OPzy084f8C5Hc4AZ0I</recordid><startdate>20201106</startdate><enddate>20201106</enddate><creator>Kostrzewa, Maciej</creator><creator>Laskowski, Radosław</creator><creator>Wilk, Michal</creator><creator>Błach, Wiesław</creator><creator>Ignatjeva, Angelina</creator><creator>Nitychoruk, Magdalena</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5799-6337</orcidid><orcidid>https://orcid.org/0000-0002-1240-6919</orcidid><orcidid>https://orcid.org/0000-0002-3559-9151</orcidid><orcidid>https://orcid.org/0000-0003-2209-0839</orcidid></search><sort><creationdate>20201106</creationdate><title>Significant Predictors of Sports Performance in Elite Men Judo Athletes Based on Multidimensional Regression Models</title><author>Kostrzewa, Maciej ; 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This study examined 16 judokas (aged 23 (±2.5)) from four weight categories, with four athletes in each category (66 kg, 73 kg, 81 kg and 90 kg). Each athlete was a member of the Polish National Team, an international master class (IM) or national master class (M). The tests were carried out twice (every two weeks) during the pre-competitive season in the morning, after a 10-min warm-up. The tests were performed according to the following protocol: Explosive Strength Lower Limbs (ExSLL) [W], Strength Endurance Lower Limbs (SELL) [%], Explosive Strength Upper Limbs (ExSUL) [W], Strength Endurance Upper Limbs (SEUL) [%]. The relationships between the dependent variable (ranking score) and the other analyzed variables (predictors) were estimated using the one-factor ridge regression analysis.
There were significant intergroup and intragroup differences in the results of explosive strength and strength endurance of the lower and upper limbs. The best predictors were identified using regression modeling: ExSLL, SELL, and SEUL.
Increasing the value of these predictors by a unit should significantly affect the scores in the ranking table. Correlation analysis showed that all variables that are strongly correlated with the Polish Judo Association (PJA) ranking table scores may have an effect on the sports performance.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>33171914</pmid><doi>10.3390/ijerph17218192</doi><orcidid>https://orcid.org/0000-0001-5799-6337</orcidid><orcidid>https://orcid.org/0000-0002-1240-6919</orcidid><orcidid>https://orcid.org/0000-0002-3559-9151</orcidid><orcidid>https://orcid.org/0000-0003-2209-0839</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Athletes Athletic Performance Biometrics Body Weight Correlation analysis Dependent variables Endurance Exercise Humans Limbs Lower Extremity Male Martial Arts Modelling Physical education Ranking Regression Analysis Sports Sports training Statistical analysis Strength training Variables Warm up (exercise) Young Adult |
| title | Significant Predictors of Sports Performance in Elite Men Judo Athletes Based on Multidimensional Regression Models |
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