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关节动力变量与跑步损伤的关联:一项病例对照研究。

The Association of Joint Power Kinetic Variables with Running Injuries: A Case-Control Study.

作者信息

Dewald Matt, Dalland Jennifer, Stockland Josie

机构信息

Physical Therapy University of South Dakota.

出版信息

Int J Sports Phys Ther. 2023 Aug 1;18(4):864-873. doi: 10.26603/001c.83216. eCollection 2023.

Abstract

BACKGROUND

There is conflicting data on which kinetic variables are important to consider with running injuries. Furthermore, less is understood regarding differences in these variables when considering demographics such as age, sex, weight, and running speed. The primary question was what joint power kinetic variables were different between non-injured and injured runners.

PURPOSE

The purpose of this study was to identify if there were differences in joint power kinetic variables between non-injured runners and injured runners.

STUDY DESIGN

Case-Control Study.

METHODS

Kinetic data were collected on 122 runners (26 non-injured and 96 injured) over three years with a Bertec force plated treadmill and Qualisys 3D motion capture. The subjects were considered eligible if they self-identified themselves as runners or had running as a key component of their activity. The subjects ran at a comfortable, self-selected pace while two 10-second trials of recordings were used to calculate the means of peak power generated at the hips, knees, and ankles of each gait cycle. Foot strike was categorized by kinematic data. Two sample T-tests were used to compare peak power variables at the hips, knees, and ankles between non-injured and injured runners. Logistic regression analyses examined how a combination of demographics and peak power variables were associated with injuries.

RESULTS

No peak power variable at the hip, knee, or ankle was significantly different between injured and non-injured runners (p=0.07-0.87). However, higher hip power absorbed was found to be protective against injuries (odds ratio, .16; 95% CI .025-.88) when considering demographics using a logistic regression model including sex, foot strike, BMI, speed, age, and power variables from the hip, knee, and ankle. The area under the ROC curve was .74, which is acceptable discrimination.

CONCLUSION

When controlling for age, sex, BMI, foot strike, and speed; higher hip power absorbed was found to be protective against injury. This could be due to the hip muscles' unique role in absorbing force during early stance phase.

LEVEL OF EVIDENCE

3b©The Author(s).

摘要

背景

关于跑步损伤时哪些动力学变量需要重点考虑,现有数据存在矛盾。此外,在考虑年龄、性别、体重和跑步速度等人口统计学因素时,对这些变量的差异了解较少。主要问题是非受伤跑步者和受伤跑步者之间的关节功率动力学变量有何不同。

目的

本研究的目的是确定非受伤跑步者和受伤跑步者之间的关节功率动力学变量是否存在差异。

研究设计

病例对照研究。

方法

在三年时间里,使用Bertec测力台跑步机和Qualisys 3D动作捕捉系统,收集了122名跑步者(26名未受伤和96名受伤)的动力学数据。如果受试者自我认定为跑步者或以跑步作为其活动的关键组成部分,则被认为符合条件。受试者以舒适的、自我选择的速度跑步,同时使用两次10秒的记录试验来计算每个步态周期中髋、膝和踝关节产生的峰值功率的平均值。根据运动学数据对足部着地方式进行分类。使用双样本T检验比较未受伤和受伤跑步者在髋、膝和踝关节处的峰值功率变量。逻辑回归分析研究了人口统计学因素和峰值功率变量的组合与损伤之间的关联。

结果

受伤和未受伤跑步者在髋、膝或踝关节处的峰值功率变量均无显著差异(p = 0.07 - 0.87)。然而,在使用包括性别、足部着地方式、体重指数、速度、年龄以及髋、膝和踝关节的功率变量的逻辑回归模型考虑人口统计学因素时,发现较高的髋部吸收功率对损伤有保护作用(优势比,0.16;95%置信区间0.025 - 0.88)。ROC曲线下面积为0.74,具有可接受的区分度。

结论

在控制年龄、性别、体重指数、足部着地方式和速度时,发现较高的髋部吸收功率对损伤有保护作用。这可能是由于髋部肌肉在初始支撑阶段吸收力量时的独特作用。

证据水平

3b©作者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/709b/10399108/03acc4dbc9f8/ijspt_2023_18_4_83216_170408.jpg

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