Guilherme F Rizatto, Fúlvia B Manchado-Gobatto, Ivan G Dos Reis, Leonardo H Messias, Filipe A B Sousa, Pedro P Scariot, Emanuel E Polisel, Carolina Cirino, Claudio A Gobatto
{"title":"复杂网络应用于男女运动员和中度活动被试的30秒全力以赴测试。","authors":"Guilherme F Rizatto, Fúlvia B Manchado-Gobatto, Ivan G Dos Reis, Leonardo H Messias, Filipe A B Sousa, Pedro P Scariot, Emanuel E Polisel, Carolina Cirino, Claudio A Gobatto","doi":"10.23736/S0022-4707.24.15972-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Complex network analysis (CNA) has been widely used to identify the most influential parameters in athletic performance. Therefore, the 30-second all-out running test (AO30) on a non-motorized treadmill (NMT) is the most used protocol in this type of analysis. However, fitness level and subject's sex may influence which parameters are most decisive in the result of this test. Thus, the aim of the study was to analyze the performance parameters most associated with AO30 in subjects of different conditioning levels and sex.</p><p><strong>Methods: </strong>Data from 72 participants (36 men and 36 women; age: 21±5 years, body mass: 73.22±12.26 kg; height: 1.79±0.1 m); classified as moderately active and basketball athletes were accessed. Mechanical (force, power, velocity and their respective fatigue indexes), anthropometric (body mass, height and BMI) and physiological parameters (blood lactate concentration and estimation of lactic anaerobic energy contribution) data obtained were analyzed. In sequence, the centrality metrics degree, betweenness, eigenvector and PageRank calculations for scenarios moderately active men (M<inf>MA</inf>), men basketball athletes (M<inf>PA</inf>), moderately active women (W<inf>MA</inf>) and women basketball athletes (W<inf>PA</inf>) were made.</p><p><strong>Results: </strong>There was a great influence of mean power for M<inf>MA</inf> and W<inf>PA</inf>. On the other hand, W<inf>MA</inf> a presented blood lactate relative to body mass as the most influential variable and M<inf>PA</inf> obtained body mass, maximum power and mean force as the most prestigious variables in the CNA.</p><p><strong>Conclusions: </strong>Sex and conditioning level can influence the most important parameters in the AO30 in NMT.</p>","PeriodicalId":17013,"journal":{"name":"Journal of Sports Medicine and Physical Fitness","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Complex network applied to athletes and moderately active subjects' of both sexes in 30-second all-out test.\",\"authors\":\"Guilherme F Rizatto, Fúlvia B Manchado-Gobatto, Ivan G Dos Reis, Leonardo H Messias, Filipe A B Sousa, Pedro P Scariot, Emanuel E Polisel, Carolina Cirino, Claudio A Gobatto\",\"doi\":\"10.23736/S0022-4707.24.15972-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Complex network analysis (CNA) has been widely used to identify the most influential parameters in athletic performance. Therefore, the 30-second all-out running test (AO30) on a non-motorized treadmill (NMT) is the most used protocol in this type of analysis. However, fitness level and subject's sex may influence which parameters are most decisive in the result of this test. Thus, the aim of the study was to analyze the performance parameters most associated with AO30 in subjects of different conditioning levels and sex.</p><p><strong>Methods: </strong>Data from 72 participants (36 men and 36 women; age: 21±5 years, body mass: 73.22±12.26 kg; height: 1.79±0.1 m); classified as moderately active and basketball athletes were accessed. Mechanical (force, power, velocity and their respective fatigue indexes), anthropometric (body mass, height and BMI) and physiological parameters (blood lactate concentration and estimation of lactic anaerobic energy contribution) data obtained were analyzed. In sequence, the centrality metrics degree, betweenness, eigenvector and PageRank calculations for scenarios moderately active men (M<inf>MA</inf>), men basketball athletes (M<inf>PA</inf>), moderately active women (W<inf>MA</inf>) and women basketball athletes (W<inf>PA</inf>) were made.</p><p><strong>Results: </strong>There was a great influence of mean power for M<inf>MA</inf> and W<inf>PA</inf>. On the other hand, W<inf>MA</inf> a presented blood lactate relative to body mass as the most influential variable and M<inf>PA</inf> obtained body mass, maximum power and mean force as the most prestigious variables in the CNA.</p><p><strong>Conclusions: </strong>Sex and conditioning level can influence the most important parameters in the AO30 in NMT.</p>\",\"PeriodicalId\":17013,\"journal\":{\"name\":\"Journal of Sports Medicine and Physical Fitness\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2025-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sports Medicine and Physical Fitness\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.23736/S0022-4707.24.15972-5\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sports Medicine and Physical Fitness","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.23736/S0022-4707.24.15972-5","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
Complex network applied to athletes and moderately active subjects' of both sexes in 30-second all-out test.
Background: Complex network analysis (CNA) has been widely used to identify the most influential parameters in athletic performance. Therefore, the 30-second all-out running test (AO30) on a non-motorized treadmill (NMT) is the most used protocol in this type of analysis. However, fitness level and subject's sex may influence which parameters are most decisive in the result of this test. Thus, the aim of the study was to analyze the performance parameters most associated with AO30 in subjects of different conditioning levels and sex.
Methods: Data from 72 participants (36 men and 36 women; age: 21±5 years, body mass: 73.22±12.26 kg; height: 1.79±0.1 m); classified as moderately active and basketball athletes were accessed. Mechanical (force, power, velocity and their respective fatigue indexes), anthropometric (body mass, height and BMI) and physiological parameters (blood lactate concentration and estimation of lactic anaerobic energy contribution) data obtained were analyzed. In sequence, the centrality metrics degree, betweenness, eigenvector and PageRank calculations for scenarios moderately active men (MMA), men basketball athletes (MPA), moderately active women (WMA) and women basketball athletes (WPA) were made.
Results: There was a great influence of mean power for MMA and WPA. On the other hand, WMA a presented blood lactate relative to body mass as the most influential variable and MPA obtained body mass, maximum power and mean force as the most prestigious variables in the CNA.
Conclusions: Sex and conditioning level can influence the most important parameters in the AO30 in NMT.
期刊介绍:
The Journal of Sports Medicine and Physical Fitness publishes scientific papers relating to the area of the applied physiology, preventive medicine, sports medicine and traumatology, sports psychology. Manuscripts may be submitted in the form of editorials, original articles, review articles, case reports, special articles, letters to the Editor and guidelines.