Impact of Early Season Jump Loads on Neuromuscular Performance in Division I Volleyball: Analyzing Force, Velocity, and Power From Countermovement Jump Tests.

IF 1.2 Q3 SPORT SCIENCES
Translational sports medicine Pub Date : 2025-04-04 eCollection Date: 2025-01-01 DOI:10.1155/tsm2/7216781
Gabriel J Sanders, Stacie Skodinski, Corey A Peacock
{"title":"Impact of Early Season Jump Loads on Neuromuscular Performance in Division I Volleyball: Analyzing Force, Velocity, and Power From Countermovement Jump Tests.","authors":"Gabriel J Sanders, Stacie Skodinski, Corey A Peacock","doi":"10.1155/tsm2/7216781","DOIUrl":null,"url":null,"abstract":"<p><p>The study investigated daily jump load variations on neuromuscular fatigue in nine NCAA Division I female volleyball athletes during the first 22 days of the season. Using force plates and inertial measurement units, data from 17 sessions were analyzed to assess relationships between jump loads and neuromuscular performance. Pearson's correlations were calculated to assess the relationships between force, velocity, and power force plate metrics and jump variables (duration in minutes, total jump counts, and jump counts greater than 38.1 cm (Jumps 38+) and 50.8 cm (Jumps 50+)). Nine out of 14 force metrics showed weak-to-moderate negative correlations with Jumps 50+, indicating as the highest intensity of jump counts increased and force production decreased (<i>r</i> ranges from -0.194 to -0.570; <i>p</i> ≤ 0.025 for all). In contrast, nine out of 16 velocity and power metrics showed weak-to-moderate positive correlations with Jumps 50+ (<i>r</i> ranges from 0.175 to 0.466; <i>p</i> ≤ 0.044 for all). In total, 29 out of 36 force plate metrics were significantly correlated to Jumps 50+, the highest intensity jump threshold assessed. Monitoring high-intensity jump loads provides a more accurate and nuanced assessment of neuromuscular performance and fatigue than total jump counts or session duration, with implications for optimizing athlete readiness and performance.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2025 ","pages":"7216781"},"PeriodicalIF":1.2000,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11991867/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational sports medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/tsm2/7216781","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The study investigated daily jump load variations on neuromuscular fatigue in nine NCAA Division I female volleyball athletes during the first 22 days of the season. Using force plates and inertial measurement units, data from 17 sessions were analyzed to assess relationships between jump loads and neuromuscular performance. Pearson's correlations were calculated to assess the relationships between force, velocity, and power force plate metrics and jump variables (duration in minutes, total jump counts, and jump counts greater than 38.1 cm (Jumps 38+) and 50.8 cm (Jumps 50+)). Nine out of 14 force metrics showed weak-to-moderate negative correlations with Jumps 50+, indicating as the highest intensity of jump counts increased and force production decreased (r ranges from -0.194 to -0.570; p ≤ 0.025 for all). In contrast, nine out of 16 velocity and power metrics showed weak-to-moderate positive correlations with Jumps 50+ (r ranges from 0.175 to 0.466; p ≤ 0.044 for all). In total, 29 out of 36 force plate metrics were significantly correlated to Jumps 50+, the highest intensity jump threshold assessed. Monitoring high-intensity jump loads provides a more accurate and nuanced assessment of neuromuscular performance and fatigue than total jump counts or session duration, with implications for optimizing athlete readiness and performance.

赛季初起跳负荷对一级排球神经肌肉表现的影响:从反动作起跳测试中分析力量、速度和力量。
该研究调查了9名NCAA一级女排运动员在赛季前22天的神经肌肉疲劳的每日跳跃负荷变化。使用力板和惯性测量单元,分析了17个阶段的数据,以评估跳跃负荷与神经肌肉表现之间的关系。计算Pearson相关性以评估力、速度和动力板指标与跳跃变量(持续时间(分钟)、总跳跃次数和跳跃次数大于38.1 cm(跳跃38+)和50.8 cm(跳跃50+))之间的关系。14个力指标中有9个与跳跃50+呈弱至中度负相关,表明跳跃次数最高强度增加,力产生减少(r范围为-0.194至-0.570;P均≤0.025)。相比之下,16个速度和功率指标中有9个与跳跃50+呈弱至中度正相关(r范围为0.175至0.466;P均≤0.044)。总的来说,36个力板指标中有29个与跳跃50+显著相关,这是评估的最高强度跳跃阈值。监测高强度的跳跃负荷比总跳跃次数或每次训练持续时间提供了更准确和细致的神经肌肉性能和疲劳评估,这对优化运动员的准备和表现具有重要意义。
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
3.00
自引率
0.00%
发文量
0
×
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