Wang Chinchin, Kaufman Jay S, Steele Russell J, Shrier Ian
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
Centre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Montreal, Canada.
BMJ Open Sport Exerc Med. 2024 Jul 5;10(3):e002037. doi: 10.1136/bmjsem-2024-002037. eCollection 2024.
In recent years, a large focus has been placed on managing training load for injury prevention. To minimise injuries, training recommendations should be based on research that examines causal relationships between load and injury risk. While observational studies can be used to estimate causal effects, conventional methods to study the relationship between load and injury are prone to bias. The target trial framework is a valuable tool that requires researchers to emulate a hypothetical randomised trial using observational data. This framework helps to explicitly define research questions and design studies in a way that estimates causal effects. This article provides an overview of the components of the target trial framework as applied to studies on load and injury and describes various considerations that should be made in study design and analyses to minimise bias.
近年来,预防伤病的重点很大程度上放在了训练负荷管理上。为了将伤病风险降至最低,训练建议应基于研究负荷与伤病风险之间因果关系的研究。虽然观察性研究可用于估计因果效应,但研究负荷与伤病之间关系的传统方法容易产生偏差。目标试验框架是一种有价值的工具,要求研究人员使用观察性数据模拟假设的随机试验。该框架有助于明确界定研究问题,并以估计因果效应的方式设计研究。本文概述了将目标试验框架应用于负荷与伤病研究时的组成部分,并描述了在研究设计和分析中应考虑的各种因素,以尽量减少偏差。