Target trial framework for determining the effect of changes in training load on injury risk using observational...

Area of Science:

• Sports Medicine
• Epidemiology
• Biostatistics

Background:

• Managing training load is crucial for preventing athletic injuries.
• Research on training load and injury risk often relies on observational studies.
• Conventional methods in these studies are susceptible to bias, limiting causal inference.

Purpose of the Study:

• To introduce the target trial framework for analyzing training load and injury.
• To guide researchers in emulating randomized trials using observational data.
• To highlight methods for minimizing bias in load-injury research.

Main Methods:

• The article explains the target trial framework, a method to emulate randomized trials with observational data.
• It details the components of this framework specifically for load-injury research.
• Considerations for study design and analysis to reduce bias are discussed.

Main Results:

• The target trial framework provides a structured approach to causal inference in observational studies.
• Application of this framework can improve the reliability of findings on training load and injury risk.
• Explicitly defining research questions and study designs minimizes bias.

Conclusions:

• The target trial framework is a valuable tool for injury prevention research.
• It enhances the ability to establish causal links between training load and injury risk.
• Adopting this framework improves the quality and validity of research in sports science.