DFA may be of great value to future investigations in human movement and could have broad applications throughout all subdisciplines of exercise science. For example, DFA may be able to detect abnormal movement patterns among a group of individuals, and explain why individuals exhibit such patterns, possibly due to disease or injury. DFA could also be used to identify those at an increased risk of injury. For example, individuals who show increased knee instability may exhibit movement patterns that increase the likelihood of tearing their knee ligaments in future sports activities. Although Bruno and colleagues focused on differentiating between individuals, DFA could be used to examine how physiologic patterns change over time within individuals, such as with learning/training or dietary/drug interventions.
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