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多少跑步量算过多?在一项5200人的队列研究中识别高风险跑步时段。

How much running is too much? Identifying high-risk running sessions in a 5200-person cohort study.

作者信息

Schuster Brandt Frandsen Jesper, Hulme Adam, Parner Erik Thorlund, Møller Merete, Lindman Ida, Abrahamson Josefin, Sjørup Simonsen Nina, Sandell Jacobsen Julie, Ramskov Daniel, Skejø Sebastian, Malisoux Laurent, Bertelsen Michael Lejbach, Nielsen Rasmus Oestergaard

机构信息

Big Data Centre for Environment and Health, Aarhus University, Aarhus, Denmark.

Southern Queensland Rural Health, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Queensland, Australia.

出版信息

Br J Sports Med. 2025 Aug 26;59(17):1203-1210. doi: 10.1136/bjsports-2024-109380.

Abstract

OBJECTIVES

We explored whether a spike in running distance during a single session or over 1 week, compared with the preceding period, was associated with increased risk of running-related overuse injury.

METHODS

Adult runners were recruited for an 18-month cohort study. Three training-related exposures were defined based on a relative change in running distance, using data collected via Garmin devices: (1) session-specific running distance relative to the longest distance run in the past 30 days; (2) 1-week period relative to the preceding 3 weeks using the acute:chronic workload ratio (ACWR); (3) 1-week period using a week-to-week ratio. Runners were categorised into one of four time-varying states: (1) regression, or up to 10% increase (reference); (2) 'small spike' between >10% and 30% increase; (3) 'moderate spike' between >30% and 100% increase; and (4) 'large spike' >100% increase. Outcome was self-reported overuse running-related injury. A multistate Cox regression model was used to estimate adjusted hazard rate ratios (HRR).

RESULTS

Among 5205 runners (mean age 45.8 years, SD=10.4; 22% female), a total of 1820 (35%) sustained a running-related injury during 588 071 sessions. Significantly increased rates were identified for small spikes (HRR=1.64 (95% CI: 1.31 to 2.05, p=0.01)), moderate spikes (HRR=1.52 (95% CI: 1.16 to 2.00, p<0.01)) and large spikes (HRR=2.28 (95% CI: 1.50 to 3.48, p<0.01)) in single-session running distance. A negative dose-response relationship was observed for the ACWR. No relationship was identified for the week-to-week ratio.

CONCLUSION

A significant increase in the rate of running-related overuse injury was found when the distance of a single running session exceeded 10% of the longest run undertaken in the last 30 days.

摘要

目的

我们探究了与前一时期相比,单次跑步距离或一周内跑步距离的激增是否与跑步相关的过度使用损伤风险增加有关。

方法

招募成年跑步者进行一项为期18个月的队列研究。基于跑步距离的相对变化,利用佳明设备收集的数据定义了三种与训练相关的暴露情况:(1)相对于过去30天内最长跑步距离的单次跑步距离;(2)使用急性:慢性工作量比值(ACWR)相对于前3周的1周时间段;(3)使用逐周比值的1周时间段。跑步者被分为四种随时间变化的状态之一:(1)回归,即增加幅度达10%或更低(参照);(2)“小幅度激增”,即增加幅度在>10%至30%之间;(3)“中等幅度激增”,即增加幅度在>30%至100%之间;(4)“大幅度激增”,即增加幅度>100%。结局为自我报告的与跑步相关的过度使用损伤。使用多状态Cox回归模型来估计调整后的风险率比值(HRR)。

结果

在5205名跑步者(平均年龄4 = 45.8岁,标准差=10.4;22%为女性)中,在588071次跑步过程中,共有1820人(35%)遭受了与跑步相关的损伤。单次跑步距离出现小幅度激增(HRR = 1.64(95%置信区间:1.31至2.05,p = 0.01))、中等幅度激增(HRR = 1.52(95%置信区间:1.16至2.00,p<0.01))和大幅度激增(HRR = 2.28(95%置信区间:1.50至3.48,p<0.01))时,损伤发生率显著增加。观察到ACWR存在负剂量反应关系。未发现逐周比值存在关联。

结论

当单次跑步距离超过过去30天内最长跑步距离的10%时,发现与跑步相关的过度使用损伤发生率显著增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26da/12421110/ba1e0a77f0e1/bjsports-59-17-g001.jpg

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