Page 62 - Safe Wrestling
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Marina Dobnik

                cution, situational context, and timing collectively determine the magni-
                tude and direction of forces acting on the athlete (Hammami et al., 2018;
                Pappas, 2007; Powell et al., 2021).
                  Conceptual injury models provide an important framework for man-
                aging this complexity. They offer structured approaches for:
                  1. describing and quantifying the injury problem,
                  2. examining multifactorial causation and identifying potential inter-
                    vention points, and
                  3. guiding the translation of scientific evidence into practical preven-
                    tive action.

                  Classic prevention frameworks propose staged processes progressing
                from injury surveillance and risk-factor identification to intervention de-
                velopment and outcome evaluation (van Mechelen et al., 1992). More re-
                cent implementation-oriented models further emphasise that the real-
                world effectiveness of an intervention depends not only on efficacy un-
                der controlled conditions, but also on feasibility, adoption, implementa-
                tion quality, and sustained compliance within the target sporting envi-
                ronment (Finch, 2006).
                  At the same time, the increasing availability of training-load monitor-
                ing systems and athlete-health surveillance technologies has stimulat-
                ed growing interest in predictive approaches to injury risk estimation.
                However, predictive models must be interpreted cautiously, as their prac-
                tical utility depends heavily on data quality, contextual specificity, and
                external validation across populations and sporting settings (Gabbett,
                2016; Meeuwisse et al., 2007). Particularly in combat sports, where in-
                jury mechanisms are highly dynamic and context dependent, simplistic
                predictive assumptions may fail to capture the complexity of real-world
                exposure and athlete adaptation.
                  Accordingly, this chapter presents key models of injury occurrence,
                prevention, implementation, and prediction. It first introduces the epi-
                demiological perspective on injuries and Haddon’s phase–factor matrix,
                both rooted in public-health research. It then outlines how these princi-
                ples have been applied within sport-specific frameworks, including van
                Mechelen’s sequence of injury prevention, the Translating Research in-
                to Injury Prevention Practice (TRIPP) framework, and the Team-Sport
                Injury Prevention (TIP) cycle. Finally, the chapter summarises select-
                ed quantitative approaches to injury-risk estimation and discusses their
                practical value and limitations in wrestling and other combat sports.

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