Objective Training patterns are commonly implicated in running injuries. The purpose of this study was to measure the incidence of injury and illness among marathon runners and the association of injuries with training patterns and workload. Methods Runners registered for the New York City Marathon were eligible to enrol and prospectively monitored during the 16 weeks before the marathon, divided into 4-week ‘training quarters’ (TQ) numbered TQ1–TQ4. Training runs were tracked using Strava, a web and mobile platform for tracking exercise. Runners were surveyed at the end of each TQ on injury and illness, and to verify all training runs were recorded. Acute:chronic workload ratio (ACWR) was calculated by dividing the running distance in the past 7 days by the running distance in the past 28 days and analysed using ratio thresholds of 1.3 and 1.5. Results A total of 735 runners participated, mean age 41.0 (SD 10.7) and 46.0% female. Runners tracked 49 195 training runs. The incidence of injury during training was 40.0% (294/735), and the incidence of injury during or immediately after the marathon was 16.0% (112/699). The incidence of illness during training was 27.2% (200/735). Those reporting an initial injury during TQ3 averaged less distance/week during TQ2 compared with uninjured runners, 27.7 vs 31.9 miles/week (p=0.018). Runners reporting an initial injury during TQ1 had more days when the ACWR during TQ1 was ≥1.5 compared with uninjured runners (injured IQR (0–3) days vs uninjured (0–1) days, p=0.009). Multivariable logistic regression for training injuries found an association with the number of days when the ACWR was ≥1.5 (OR 1.06, 95% CI (1.02 to 1.10), p=0.002). Conclusion Increases in training volume ≥1.5 ACWR were associated with more injuries among runners training for a marathon. These findings can inform training recommendations and injury prevention programmes for distance runners. Data sharing not applicable as no datasets generated and/or analysed for this study.

中文翻译：

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与纽约市马拉松运动员受伤相关的训练模式

目的 训练模式通常与跑步损伤有关。本研究的目的是衡量马拉松运动员受伤和患病的发生率以及受伤与训练模式和工作量的关系。方法 注册参加纽约市马拉松赛的跑步者有资格参加并在马拉松赛前 16 周内进行前瞻性监测，分为为期 4 周的“训练区”(TQ)，编号为 TQ1–TQ4。使用 Strava 跟踪训练跑步，Strava 是一个用于跟踪锻炼的网络和移动平台。在每个 TQ 结束时，都会对跑步者进行伤病调查，并验证是否记录了所有训练跑步。通过将过去 7 天的跑步距离除以过去 28 天的跑步距离来计算急性：慢性工作负荷比 (ACWR)，并使用 1.3 和 1.5 的比率阈值进行分析。结果 共有 735 名跑者参加，平均年龄 41.0 (SD 10.7)，女性占 46.0%。跑步者跟踪了 49 195 次训练。训练中受伤发生率为40.0%（294/735），马拉松赛中或赛后即刻受伤发生率为16.0%（112/699）。训练期间疾病发生率为27.2%（200/735）。与未受伤的跑步者相比，那些在 TQ3 期间报告初次受伤的人在 TQ2 期间平均每周跑的距离更少，分别为 27.7 英里/周和 31.9 英里/周 (p=0.018)。与未受伤的跑步者相比，在 TQ1 期间报告初始受伤的跑步者在 TQ1 期间的 ACWR ≥1.5 的天数更多（受伤的 IQR (0–3) 天与未受伤的 (0–1) 天，p=0.009）。训练损伤的多变量逻辑回归发现与 ACWR ≥ 1.5 的天数相关（OR 1.06, 95% CI (1.02 to 1.10), p=0.002）。结论 训练量增加 ≥ 1.5 ACWR 与参加马拉松训练的跑步者受伤更多有关。这些发现可以为长跑运动员提供训练建议和伤害预防计划。数据共享不适用，因为没有为本研究生成和/或分析数据集。