• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

CrossFit公开赛表现的预测因素。

Predictors of CrossFit Open Performance.

作者信息

Mangine Gerald T, Tankersley Joy E, McDougle Jacob M, Velazquez Nathanael, Roberts Michael D, Esmat Tiffany A, VanDusseldorp Trisha A, Feito Yuri

机构信息

Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, GA 30144, USA.

School of Kinesiology, Auburn University, Auburn, AL 36849, USA.

出版信息

Sports (Basel). 2020 Jul 20;8(7):102. doi: 10.3390/sports8070102.

DOI:10.3390/sports8070102
PMID:32698335
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7404807/
Abstract

The 2018 CrossFit Open (CFO) was the initial stage of an annual competition that consisted of five weekly workouts. Current evidence suggests that a variety of fitness parameters are important for progressing beyond this stage, but little is known about which are the most important. To examine relationships between CFO performance, experience, and physiological fitness, sixteen experienced (>2 years) athletes (30.7 ± 6.9 years, 171 ± 12 cm, 78.0 ± 16.2 kg) volunteered to provide information about their training and competitive history, and then complete a battery of physiological assessments prior to competing in the 2018 CFO. Athletes' resting energy expenditure, hormone concentrations, body composition, muscle morphology, cardiorespiratory fitness, and isometric strength were assessed on two separate occasions. Spearman correlations demonstrated significant ( < 0.05) relationships between most variables and performance on each workout. Stepwise regression revealed competition experience (R = 0.31-0.63), body composition (R = 0.55-0.80), vastus lateralis cross-sectional area (R = 0.29-0.89), respiratory compensation threshold (R = 0.54-0.75), and rate of force development (R = 0.30-0.76) to be the most common predictors. Of these, body composition was the most important. These fitness parameters are known targets with established training recommendations. Though preliminary, athletes may use these data to effectively train for CFO competition.

摘要

2018年CrossFit公开赛(CFO)是一项年度赛事的初始阶段,该赛事由五次每周训练组成。目前的证据表明,多种健身参数对于在这个阶段之后取得进展很重要,但对于哪些是最重要的参数却知之甚少。为了研究CFO表现、经验和生理健康之间的关系,16名有经验的(>2年)运动员(30.7±6.9岁,171±12厘米,78.0±16.2千克)自愿提供他们的训练和比赛历史信息,然后在参加2018年CFO之前完成一系列生理评估。在两个不同的时间点评估了运动员的静息能量消耗、激素浓度、身体成分、肌肉形态、心肺适能和等长力量。Spearman相关性分析表明,大多数变量与每次训练的表现之间存在显著(<0.05)关系。逐步回归显示比赛经验(R=0.31-0.63)、身体成分(R=0.55-0.80)、股外侧肌横截面积(R=0.29-0.89)、呼吸补偿阈值(R=0.54-0.75)和力量发展速率(R=0.30-0.76)是最常见的预测因素。其中,身体成分是最重要的。这些健身参数是已知的目标,并有既定的训练建议。尽管是初步的,但运动员可以利用这些数据有效地为CFO比赛进行训练。

相似文献

1
Predictors of CrossFit Open Performance.CrossFit公开赛表现的预测因素。
Sports (Basel). 2020 Jul 20;8(7):102. doi: 10.3390/sports8070102.
2
Differential improvements between men and women in repeated CrossFit open workouts.男性和女性在重复 CrossFit 公开赛训练中表现出的差异改善。
PLoS One. 2023 Nov 28;18(11):e0283910. doi: 10.1371/journal.pone.0283910. eCollection 2023.
3
The relationship of aerobic capacity, anaerobic peak power and experience to performance in CrossFit exercise.有氧能力、无氧峰值功率与经验对CrossFit运动表现的关系。
Biol Sport. 2015 Nov;32(4):315-20. doi: 10.5604/20831862.1174771. Epub 2015 Oct 18.
4
CrossFit® open performance is affected by the nature of past competition experiences.CrossFit®公开赛的表现受过去比赛经历性质的影响。
BMC Sports Sci Med Rehabil. 2022 Mar 24;14(1):46. doi: 10.1186/s13102-022-00434-0.
5
Local Muscle Endurance and Strength Had Strong Relationship with CrossFit Open 2020 in Amateur Athletes.局部肌肉耐力和力量与2020年业余运动员CrossFit公开赛有密切关系。
Sports (Basel). 2021 Jul 6;9(7):98. doi: 10.3390/sports9070098.
6
Do physiological measures predict selected CrossFit(®) benchmark performance?生理指标能否预测特定的CrossFit(®)基准测试表现?
Open Access J Sports Med. 2015 Jul 31;6:241-7. doi: 10.2147/OAJSM.S88265. eCollection 2015.
7
CrossFit: 'Unknowable' or Predictable?-A Systematic Review on Predictors of CrossFit Performance.CrossFit:“不可知”还是可预测?——关于CrossFit运动表现预测因素的系统评价
Sports (Basel). 2023 May 30;11(6):112. doi: 10.3390/sports11060112.
8
Predicting the Unknown and the Unknowable. Are Anthropometric Measures and Fitness Profile Associated with the Outcome of a Simulated CrossFit Competition?预测未知和不可知的事情。人体测量指标和健康状况与模拟 CrossFit 比赛的结果有关吗?
Int J Environ Res Public Health. 2021 Apr 1;18(7):3692. doi: 10.3390/ijerph18073692.
9
The Relationship between CrossFit Performance and Laboratory-Based Measurements of Fitness.CrossFit体能表现与基于实验室的体能测量之间的关系。
Sports (Basel). 2020 Aug 11;8(8):112. doi: 10.3390/sports8080112.
10
Normative Scores for CrossFit Open Workouts: 2011-2022.CrossFit公开赛训练的标准分数:2011 - 2022年
Sports (Basel). 2023 Jan 18;11(2):24. doi: 10.3390/sports11020024.

引用本文的文献

1
Sport-Related Injuries in Portuguese CrossFit Practitioners and Their Characteristics.葡萄牙CrossFit从业者的运动相关损伤及其特征
Muscles. 2025 Jan 10;4(1):2. doi: 10.3390/muscles4010002.
2
Acute effect of a multi-ingredient pre-workout supplement on pacing and kinetic expression during shorter and longer bouts of high intensity functional training.一种多成分训练前补充剂对短时间和长时间高强度功能性训练中的配速和动力学表现的急性影响。
J Int Soc Sports Nutr. 2025 Dec;22(1):2529906. doi: 10.1080/15502783.2025.2529906. Epub 2025 Jul 8.
3
Workout Duration Alters the Importance of Predictive Traits on High-Intensity Functional Training Workout Performance.

本文引用的文献

1
Physiological Predictors of Competition Performance in CrossFit Athletes.CrossFit 运动员比赛表现的生理预测因素。
Int J Environ Res Public Health. 2020 May 24;17(10):3699. doi: 10.3390/ijerph17103699.
2
Physiological differences between advanced CrossFit athletes, recreational CrossFit participants, and physically-active adults.高级 CrossFit 运动员、休闲 CrossFit 参与者和身体活跃成年人之间的生理差异。
PLoS One. 2020 Apr 7;15(4):e0223548. doi: 10.1371/journal.pone.0223548. eCollection 2020.
3
Pre-Anticipatory Anxiety and Autonomic Nervous System Response to Two Unique Fitness Competition Workouts.
锻炼时长会改变预测性特征对高强度功能性训练锻炼表现的重要性。
Sports (Basel). 2025 May 22;13(6):156. doi: 10.3390/sports13060156.
4
Nutrition in CrossFit® - scientific evidence and practical perspectives: a systematic scoping review.CrossFit®中的营养——科学证据与实践观点:一项系统的范围综述
J Int Soc Sports Nutr. 2025 Dec;22(1):2509674. doi: 10.1080/15502783.2025.2509674. Epub 2025 Jun 5.
5
The physical demands and physiological responses to CrossFit®: a scoping review with evidence gap map and meta-correlation.对CrossFit®的身体需求和生理反应:一项基于证据差距图和元相关性的范围综述
BMC Sports Sci Med Rehabil. 2024 Sep 20;16(1):196. doi: 10.1186/s13102-024-00986-3.
6
Exploring the relationship between Total Athleticism score and CrossFit® Open Performance in amateur athletes: single measure involving body fat percentage, aerobic capacity, muscle power and local muscle endurance.探索业余运动员的综合运动能力得分与CrossFit®公开赛表现之间的关系:一项涉及体脂百分比、有氧能力、肌肉力量和局部肌肉耐力的单一测量。
Eur J Transl Myol. 2024 Aug 23;34(3):12309. doi: 10.4081/ejtm.2024.12309.
7
The influence of sex-division, experience, and pacing strategy on performance in the 2020 CrossFit® Open.性别划分、经验和节奏策略对2020年CrossFit®公开赛成绩的影响。
Front Sports Act Living. 2024 Jan 19;6:1344036. doi: 10.3389/fspor.2024.1344036. eCollection 2024.
8
Differential improvements between men and women in repeated CrossFit open workouts.男性和女性在重复 CrossFit 公开赛训练中表现出的差异改善。
PLoS One. 2023 Nov 28;18(11):e0283910. doi: 10.1371/journal.pone.0283910. eCollection 2023.
9
Pacing Strategies Differ by Sex and Rank in 2020 CrossFit Open Tests.2020年CrossFit公开赛测试中的配速策略因性别和级别而异。
Sports (Basel). 2023 Oct 11;11(10):199. doi: 10.3390/sports11100199.
10
CrossFit: 'Unknowable' or Predictable?-A Systematic Review on Predictors of CrossFit Performance.CrossFit:“不可知”还是可预测?——关于CrossFit运动表现预测因素的系统评价
Sports (Basel). 2023 May 30;11(6):112. doi: 10.3390/sports11060112.
预期前焦虑与自主神经系统对两种独特健身竞赛训练的反应。
Sports (Basel). 2019 Aug 27;7(9):199. doi: 10.3390/sports7090199.
4
Full-Squat as a Determinant of Performance in CrossFit.全蹲作为 CrossFit 表现的决定因素。
Int J Sports Med. 2019 Sep;40(9):592-596. doi: 10.1055/a-0960-9717. Epub 2019 Jul 10.
5
Exercise-Induced Myofibrillar Hypertrophy is a Contributory Cause of Gains in Muscle Strength.运动诱导的肌原纤维肥大是肌肉力量增加的一个促成因素。
Sports Med. 2019 Jul;49(7):993-997. doi: 10.1007/s40279-019-01107-8.
6
Physiological Performance Measures as Indicators of CrossFit Performance.作为CrossFit运动表现指标的生理性能测量
Sports (Basel). 2019 Apr 22;7(4):93. doi: 10.3390/sports7040093.
7
A Critical Evaluation of the Biological Construct Skeletal Muscle Hypertrophy: Size Matters but So Does the Measurement.对生物学概念“骨骼肌肥大”的批判性评估:大小很重要,但测量方法同样重要。
Front Physiol. 2019 Mar 12;10:247. doi: 10.3389/fphys.2019.00247. eCollection 2019.
8
Repeated anaerobic tests predict performance among a group of advanced CrossFit-trained athletes.重复的无氧测试可以预测一组高水平 CrossFit 训练运动员的表现。
Appl Physiol Nutr Metab. 2019 Jul;44(7):727-735. doi: 10.1139/apnm-2018-0509. Epub 2018 Nov 30.
9
High-Intensity Functional Training (HIFT): Definition and Research Implications for Improved Fitness.高强度功能性训练(HIFT):改善体能的定义及研究意义
Sports (Basel). 2018 Aug 7;6(3):76. doi: 10.3390/sports6030076.
10
Autonomic response to a short and long bout of high-intensity functional training.自主神经对短时间和长时间高强度功能训练的反应。
J Sports Sci. 2018 Aug;36(16):1872-1879. doi: 10.1080/02640414.2018.1423857. Epub 2018 Jan 8.