State Population Influences Athletic Performance Combine Test Scores in High School-Aged American Football Players
State Population Influences Athletic Performance Combine Test Scores in High School-Aged American Football Players
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州人口影响高中年龄段美式橄榄球运动员的运动表现综合测试成绩
DOI：
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发表时间：
2019
影响因子：
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通讯作者：
J. Cramer
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文献类型：
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作者：
Zachary M. Gillen;Marni E. Shoemaker;Brianna D. Mckay;J. Cramer
本研究比较了来自不同人口规模州的高中美式橄榄球联合收割机参与者的运动表现差异。这项分析包括了在2015年3月至2016年1月期间参加运动表现组合的高中年龄的美式足球运动员（n= 7，214）。数据包括联合收割机的日期和地点，学校的起源，足球位置，班级，身高，体重，10码，20码和40码短跑时间，专业敏捷性，L锥钻，垂直跳跃，跳远，和力量俯卧撑。参与者被分为高（州人口> 10，000，000;高; n= 2，804），中（州人口= 5，000，000 - 9，999，999; MID; n= 2，911）或低人口（州人口<5，000，000;低; n= 1，499）。数据进行了异速生长缩放，以解释高中年级和美式足球位置之间的体重差异。所有的统计分析都是在异速生长比例数据上进行的。在20码短跑中，低水平运动员的表现优于高水平运动员（p≤0.01）。在40码短跑、前敏捷性、跳远和力量俯卧撑中，低水平运动员的成绩优于高水平和中等水平运动员（p<0.01）。在L-锥和纵跳方面，低水平和高水平运动员的表现优于中等水平运动员（p<0.01）。当考虑人口规模时，来自低水平州的运动员可能会在足球联合收割机项目中表现出更高水平的运动表现，假设这是因为他们有更多的体育参与机会和上场时间，从而导致更大的体育发展。在中等和高等国家的青年和高中教练可能会考虑提供更多的机会，发挥和个性化的教练，以鼓励长期的体育发展。
This study compared athletic performance differences among high school American football combine participants originating from states of different population sizes. High school-aged American football players (n=7,214) who had participated in athletic performance combines between March 2015 and January 2016 were included in this analysis. Data included combine date and location, school state of origin, football position, class, height, weight, 10-, 20-, and 40-yd dash times, pro-agility, L-cone drill, vertical jump, broad jump, and power push-up. Participants were separated into high- (state population>10,000,000; HIGH; n=2,804), mid- (state population=5,000,000–9,999,999; MID; n=2,911), or low-population (state population<5,000,000; LOW; n=1,499) state of origin. Data were allometrically scaled to account for differences in body mass across high school grade levels and American football positions. All statistical analyses were performed on the allometrically scaled data. LOW athletes performed better than HIGH athletes in the 20-yd dash (p≤0.01). LOW athletes performed better than HIGH and MID in the 40-yd dash, pro-agility, broad jump, and power push-up (p<0.01). LOW and HIGH athletes performed better than MID in the L-cone and vertical jump (p<0.01). When considering population size, athletes originating from LOW states may demonstrate higher levels of athletic performance in football combine events hypothetically due to more opportunities for sports participation and playing time, leading to greater athletic development. Youth and high school coaches in MID and HIGH states might consider providing more opportunities for playing and individualized coaching to encourage long-term athletic development.