C. A. O. Zezzatti, A. H. Aguirre, Jons Sanchez, Yazmani García, M-P Dumont, Halina Iztebegovic
{"title":"确定一个适当的人体测量水球使用社会数据挖掘","authors":"C. A. O. Zezzatti, A. H. Aguirre, Jons Sanchez, Yazmani García, M-P Dumont, Halina Iztebegovic","doi":"10.1109/CONIELECOMP.2009.32","DOIUrl":null,"url":null,"abstract":"To assess the differences in anthropometric parameters, body fat, body mass index (BMI) and body density induced by sport specific morphological optimization (adaptation) between two samples (Juarez City University and Technological Montenegro University) of male water polo players. The survey included a total of 160 male water polo players, all members of University teams of Water polo. The sample from Juarez City consisted of 95 players (71.9% of target population) aged between 18 and 32 years, and the sample from Montenegro included 65 players (50% of target population) aged between 19 and 29 years. Trained and qualified anthropometrists performed the measurement under standardized experimental conditions and in accordance with the procedures described by the International Biological Program. They measured 23 anthropometric variables reflecting basic human body characteristic described by skeletal bone lengths (total leg length, total arm length, hand length, foot length, and height), breadths (hand at proximal phalanges, foot in metatarsal area, biacromial, biiliocristal, biepycondylar femur, biepycondyar humerus, and radio−ulnar wrist breadth), girths (chest, arm, forearm, thigh, and calf girth), skin fold thickness as a measure of subcutaneous adiposity (triceps, subscapular, axillary, calf, and abdominal skin fold thickness), and mass. Additionally, estimates of body mass index (BMU), body density, and percentage of body fat were calculated from the primary measures.","PeriodicalId":292855,"journal":{"name":"2009 International Conference on Electrical, Communications, and Computers","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Identify an Adequate Anthropometry to Water Polo Using Social Data Mining\",\"authors\":\"C. A. O. Zezzatti, A. H. Aguirre, Jons Sanchez, Yazmani García, M-P Dumont, Halina Iztebegovic\",\"doi\":\"10.1109/CONIELECOMP.2009.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To assess the differences in anthropometric parameters, body fat, body mass index (BMI) and body density induced by sport specific morphological optimization (adaptation) between two samples (Juarez City University and Technological Montenegro University) of male water polo players. The survey included a total of 160 male water polo players, all members of University teams of Water polo. The sample from Juarez City consisted of 95 players (71.9% of target population) aged between 18 and 32 years, and the sample from Montenegro included 65 players (50% of target population) aged between 19 and 29 years. Trained and qualified anthropometrists performed the measurement under standardized experimental conditions and in accordance with the procedures described by the International Biological Program. They measured 23 anthropometric variables reflecting basic human body characteristic described by skeletal bone lengths (total leg length, total arm length, hand length, foot length, and height), breadths (hand at proximal phalanges, foot in metatarsal area, biacromial, biiliocristal, biepycondylar femur, biepycondyar humerus, and radio−ulnar wrist breadth), girths (chest, arm, forearm, thigh, and calf girth), skin fold thickness as a measure of subcutaneous adiposity (triceps, subscapular, axillary, calf, and abdominal skin fold thickness), and mass. Additionally, estimates of body mass index (BMU), body density, and percentage of body fat were calculated from the primary measures.\",\"PeriodicalId\":292855,\"journal\":{\"name\":\"2009 International Conference on Electrical, Communications, and Computers\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Electrical, Communications, and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONIELECOMP.2009.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Electrical, Communications, and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONIELECOMP.2009.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identify an Adequate Anthropometry to Water Polo Using Social Data Mining
To assess the differences in anthropometric parameters, body fat, body mass index (BMI) and body density induced by sport specific morphological optimization (adaptation) between two samples (Juarez City University and Technological Montenegro University) of male water polo players. The survey included a total of 160 male water polo players, all members of University teams of Water polo. The sample from Juarez City consisted of 95 players (71.9% of target population) aged between 18 and 32 years, and the sample from Montenegro included 65 players (50% of target population) aged between 19 and 29 years. Trained and qualified anthropometrists performed the measurement under standardized experimental conditions and in accordance with the procedures described by the International Biological Program. They measured 23 anthropometric variables reflecting basic human body characteristic described by skeletal bone lengths (total leg length, total arm length, hand length, foot length, and height), breadths (hand at proximal phalanges, foot in metatarsal area, biacromial, biiliocristal, biepycondylar femur, biepycondyar humerus, and radio−ulnar wrist breadth), girths (chest, arm, forearm, thigh, and calf girth), skin fold thickness as a measure of subcutaneous adiposity (triceps, subscapular, axillary, calf, and abdominal skin fold thickness), and mass. Additionally, estimates of body mass index (BMU), body density, and percentage of body fat were calculated from the primary measures.