Periodization for success-in-season external training loads relative to competition load in American football.

IF 2.6 Q2 SPORT SCIENCES
Frontiers in Sports and Active Living Pub Date : 2025-09-18 eCollection Date: 2025-01-01 DOI:10.3389/fspor.2025.1662240
Quincy R Johnson, Yang Yang, Dimitrije Cabarkapa, Dayton Sealey, Shane Stock, Dalton Gleason, Clay Frels, Madi Rink, Andrew C Fry
{"title":"Periodization for success-in-season external training loads relative to competition load in American football.","authors":"Quincy R Johnson, Yang Yang, Dimitrije Cabarkapa, Dayton Sealey, Shane Stock, Dalton Gleason, Clay Frels, Madi Rink, Andrew C Fry","doi":"10.3389/fspor.2025.1662240","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Despite an exponential development in performance monitoring technologies, the physical performance demands of sport remain an understudied topic in scientific literature. Thus, the primary purpose of this study was to quantify and compare the training loads (TL) of a collegiate American football team between in-season practices and official games by general position group, event type, and to assess the interaction between the two.</p><p><strong>Methods: </strong>Twenty-seven NCAA Division-II athletes volunteered to participate in this investigation. In-season TL during 32 practices (categorized as days before game day; GD minus) and 11 conference games were recorded using global positioning system technology. Collected data included total duration, total distance, yards traveled per minute, hard running distance, hard running efforts, 2-dimensional (2D) load, and 3-dimensional (3D) load.</p><p><strong>Results: </strong>A factorial analysis of variance revealed significant main effects in TL for event type (<i>p</i> < 0.001) and position groups (<i>p</i> < 0.001), and an interaction effect between the two (<i>p</i> < 0.001). Unique microcyclic characteristics were observed for each measure of interest. Relative to game values (100%), values for training duration (+25% to -12%; GD-4 to GD-1), yards per minute (+15% to -11%), total distance (+37% to -3%), hard running distance (+33% to -7%), hard running efforts (+33% to -12%), 2D-load (+40% to -7%), and 3D-load (+44% to -3%) were significantly greater than game values on distinct days during the week.</p><p><strong>Discussion: </strong>These findings can improve the current understanding of practice demands relative to games, which may support more optimal sport-specific periodization approaches within American football.</p>","PeriodicalId":12716,"journal":{"name":"Frontiers in Sports and Active Living","volume":"7 ","pages":"1662240"},"PeriodicalIF":2.6000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12489946/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Sports and Active Living","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fspor.2025.1662240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Despite an exponential development in performance monitoring technologies, the physical performance demands of sport remain an understudied topic in scientific literature. Thus, the primary purpose of this study was to quantify and compare the training loads (TL) of a collegiate American football team between in-season practices and official games by general position group, event type, and to assess the interaction between the two.

Methods: Twenty-seven NCAA Division-II athletes volunteered to participate in this investigation. In-season TL during 32 practices (categorized as days before game day; GD minus) and 11 conference games were recorded using global positioning system technology. Collected data included total duration, total distance, yards traveled per minute, hard running distance, hard running efforts, 2-dimensional (2D) load, and 3-dimensional (3D) load.

Results: A factorial analysis of variance revealed significant main effects in TL for event type (p < 0.001) and position groups (p < 0.001), and an interaction effect between the two (p < 0.001). Unique microcyclic characteristics were observed for each measure of interest. Relative to game values (100%), values for training duration (+25% to -12%; GD-4 to GD-1), yards per minute (+15% to -11%), total distance (+37% to -3%), hard running distance (+33% to -7%), hard running efforts (+33% to -12%), 2D-load (+40% to -7%), and 3D-load (+44% to -3%) were significantly greater than game values on distinct days during the week.

Discussion: These findings can improve the current understanding of practice demands relative to games, which may support more optimal sport-specific periodization approaches within American football.

赛季成功的外部训练负荷与美式橄榄球比赛负荷的周期分析。
导言:尽管性能监测技术呈指数级发展,但体育运动对身体性能的要求仍然是科学文献中研究不足的话题。因此,本研究的主要目的是量化和比较大学美式足球队在赛季训练和正式比赛中的训练负荷(TL),并评估两者之间的相互作用。方法:27名NCAA二级运动员自愿参加本调查。利用全球定位系统技术记录了32场训练(比赛日前几天,GD减去)和11场联盟比赛中的季内TL。收集的数据包括总持续时间、总距离、每分钟行走码数、硬跑距离、硬跑力度、二维(2D)负荷和三维(3D)负荷。结果:方差的析因分析显示,事件类型组(p < 0.001)和位置组(p < 0.001)对TL有显著的主效应,两者之间存在交互效应(p < 0.001)。每个感兴趣的测量都观察到独特的微循环特征。相对于比赛值(100%),训练持续时间(+25%至-12%;GD-4至GD-1),每分钟码数(+15%至-11%),总距离(+37%至-3%),硬跑距离(+33%至-7%),硬跑努力(+33%至-12%),2d负荷(+40%至-7%)和3d负荷(+44%至-3%)在一周中的不同日子显著大于比赛值。讨论:这些发现可以提高目前对比赛相关练习需求的理解,这可能支持在美式橄榄球中更优化的特定运动周期方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.60
自引率
7.40%
发文量
459
审稿时长
15 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信