相关实验视频

Updated: Sep 18, 2025

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

身体区域和体育类型的身体活动学生的伤害风险预测模型:横截面设计

Jarosław Domaradzki¹, Edyta Kopacka²

¹Department of Biological Principles of Physical Activity, Wroclaw University of Health and Sport Sciences, 51-612 Wrocław, Poland.

Journal of clinical medicine

|June 26, 2025

概括

业余运动员受伤的风险是多因素的,因性别,运动类型和身体组成而有所不同. 考虑到这些因素的定制预防策略对于有效减少伤害至关重要.

科学领域:

运动医学运动医学
运动生理学运动生理学
伤害流行病学伤害流行病学

背景情况:

以前的研究将受伤风险因素分为身体区域或运动,限制了现实世界的适用性.
伤害风险是多因素的,受人口,生理和训练因素相互作用的影响.
需要一个整体的方法来准确,基于证据的伤害预防业余运动员.

研究的目的:

确定业余运动员在各种身体区域和体育环境中受伤风险的关键预测因素.
开发结合人口和身体组成变量的预测模型.
在模型中比较变量的预测强度,并注意到根据受伤位置和运动类型的变化.

主要方法:

454名业余运动员 (219名男性,235名女性) 参加了比赛.
收集的数据包括人体测量,身体成分和训练负载.
后勤回归模型确定了预测因素;纳格尔克克的R2评估了模型的合适性.

主要成果:

整体受伤率为49.78%,女性 (54.47%) 比男性 (44.75%) 高.
年龄对受伤风险的影响因性别和运动类型而异.
身体组成指标 (SMI,MFR,BMI,FMI) 显示了女性运动员特定伤害的预测价值.

结论:

伤害风险概况高度依赖于环境,需要定制的预防策略.
干预措施应考虑性别,运动类型,年龄和身体组成,以便进行个性化规划.
建议采用有针对性的方法,例如年轻团队运动员的负载监测和女性团队运动员的身体组成干预.

关键词:

业余运动员业余运动员身体构成身体组成脂肪质量指数脂肪质量指数个人体育运动个人体育运动伤害预测伤害预测内在的风险因素是内在的风险因素.运动学科运动学科团队运动是团队运动.

更多相关视频

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion

A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion

Published on: September 25, 2014

相关概念视频

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...

Cross-Sectional Research

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...