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青少年运动相关脑震荡后标准化的布法罗脑震荡跑步机测试:ActiGraph算法重要吗?

A Standardized Buffalo Concussion Treadmill Test Following Sport-Related Concussion in Youth: Do ActiGraph Algorithms Matter?

作者信息

Morrison Heidi R, Miutz Lauren N, Emery Carolyn A, Smirl Jonathan D

机构信息

1Sport Injury Prevention Research Center, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada.

2Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.

出版信息

J Athl Train. 2021 Jan 22;56(12):1300-5. doi: 10.4085/527-20.

Abstract

CONTEXT

Current recovery guidelines following sport-related concussion (SRC) include 24-48 hours of rest followed by gradual return-to-activity with heart rate (HR) maintained below symptom threshold. Additionally, the monitoring of physical activity (PA) post-SRC using ActiGraph accelerometers can provide further objective insight on amounts of activity associated with recovery trajectories. Cut-point algorithms for these devices allow minute-by-minute PA to be classified into intensity domains; however, studies have shown different algorithms employed on the same healthy participant dataset can produce varying classifications.

OBJECTIVE

To identify the most physiologically appropriate cut-point algorithm (Evenson or Romanzini) to analyze ActiGraph data in concussed youth with comparisons to HR response on the Buffalo Concussion Treadmill Test (BCTT).

DESIGN

Prospective cohort study.

SETTING

Sport-concussion clinic within a university setting.

PATIENTS OR OTHER PARTICIPANTS

Eleven high-school students (5 male, 6 female; median [range] age =16 years [15-17], height = 177.8 cm [157.5-198.1], weight = 67 kg [52-98], body mass index = 22 kg/m2 [17-31]) involved in high-risk sport who sustained a physician diagnosed SRC.

MAIN OUTCOME MEASURE(S): Evenson and Romanzini algorithm PA intensity domains via ActiGraph data and HR during the BCTT.

RESULTS

There were differences in moderate (P = .001) and vigorous (P = .002) intensities between algorithms, but no difference in light (P = .548). Evenson classified most of the time as moderate intensity (57.03% [0.00-94.12%]), whereas Romanzini classified virtually all PA as vigorous (88.25% [2.94-97.06%]). PA based on HR (stages 1-7: 20-39% HR reserve (HRR), stages 8-13: 40-59% HRR, stages 14 and above: 60-85% HRR) indicated the BCTT primarily involves light-to-moderate intensity, and therefore is better represented by the Evenson algorithm.

CONCLUSIONS

The Evenson algorithm better characterizes the HR response during a standardized exercise test in concussed individuals and therefore should be used to analyze ActiGraph PA data in a concussed paediatric population.

摘要

背景

目前与运动相关的脑震荡(SRC)后的恢复指南包括休息24 - 48小时,然后逐渐恢复活动,同时将心率(HR)维持在症状阈值以下。此外,使用ActiGraph加速度计监测SRC后的身体活动(PA)可以提供与恢复轨迹相关的活动量的进一步客观见解。这些设备的切点算法允许将每分钟的PA分类到强度域中;然而,研究表明,在相同的健康参与者数据集上使用不同的算法会产生不同的分类。

目的

确定最符合生理的切点算法(埃文森或罗曼齐尼),以分析脑震荡青少年的ActiGraph数据,并与布法罗脑震荡跑步机测试(BCTT)中的HR反应进行比较。

设计

前瞻性队列研究。

设置

大学环境中的运动脑震荡诊所。

患者或其他参与者

11名参与高危运动的高中生(5名男性,6名女性;年龄中位数[范围]=16岁[15 - 17岁],身高=177.8厘米[157.5 - 198.1厘米],体重=67千克[52 - 98千克],体重指数=22千克/平方米[17 - 31]),他们遭受了医生诊断的SRC。

主要观察指标

通过ActiGraph数据和BCTT期间的HR得出的埃文森和罗曼齐尼算法PA强度域。

结果

算法之间在中等强度(P = 0.001)和剧烈强度(P = 0.002)上存在差异,但在轻度强度上无差异(P = 0.548)。埃文森算法大部分时间将活动分类为中等强度(57.03%[0.00 - 94.12%]),而罗曼齐尼算法几乎将所有PA分类为剧烈强度(88.25%[2.94 - 97.06%])。基于HR的PA(第1 - 7阶段:20 - 39%心率储备(HRR),第8 - 13阶段:40 - 59% HRR,第14阶段及以上:60 - 85% HRR)表明BCTT主要涉及轻度至中等强度,因此埃文森算法能更好地体现。

结论

埃文森算法能更好地描述脑震荡个体在标准化运动测试期间的HR反应,因此应使用该算法分析脑震荡儿科人群的ActiGraph PA数据。

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