Key result
A proper assessment of interaction and confounding is important for researchers and practitioners seeking to assess causation in multifactorial models of athletic injury etiology.
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Clinicians and researchers must evaluate interaction and confounding to avoid biased causal inferences in athletic injury models; extends methodological guidance for multifactorial etiology studies.
This article outlines the concepts of interaction and confounding and describes methods used in their assessment and control for understanding athletic injury etiology.
Willem Meeuwisse (1994) conducted a review in Athletic injury. A proper assessment of interaction and confounding is important for researchers and practitioners seeking to assess causation in multifactorial models of athletic injury etiology.
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