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Falls resulting from trips are a leading cause of injury and can sometimes result in death, especially in the older population. Numerous researchers have studied the biomechanical mechanisms that differentiate fallers from nonfallers and determined whether training can beneficially impact those outcomes. Exercise and task-specific interventions have demonstrated fewer falls after trips but can be costly and often require specialized equipment, making their applicability less practical. Qualified health and fitness practitioners can develop evidence-informed, exercise-based programs focusing on 3 components (balance training, task-specific training, and resistance exercise). Such programs may help to reduce fall risk in older adults based on previously documented studies identifying the biomechanical demands of a successful fall arrest after a trip perturbation. These multicomponent programs should include a safe task-specific training element that does not require specialized equipment.
Researchers and practitioners have highlighted the necessity to monitor jump strategy metrics and the commonly reported outcome measures during the countermovement jump (CMJ) and drop jump (DJ) tests. However, there is a risk of confusion for practitioners, given the vast range of metrics that now seem to be on offer via analysis software when collecting data from force platforms. As such, practitioners may benefit from a framework that can help guide metric selection for commonly used jump tests, which is the primary purpose of this article. To contextualize the proposed framework, we have provided 2 examples for how this could work: one for the CMJ and one for the DJ, noting that these tests are commonly used by practitioners during routine testing across a range of sport performance and clinical settings.