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Marina Dobnik

                competitive level (most often elite sport), and within a defined age and
                sex group. Consequently, they cannot be directly transferred to other
                sports or recreational populations without further adaptation and vali-
                dation.

                Limitations and Possibilities for Use in Youth Athletes
                and Combat Sports
                Although mathematical models for injury prediction offer an interesting
                tool for individualised risk assessment, they have several important lim-
                itations in practical application:
                  • they require extensive data collection (large numbers of athletes and
                    precise recording of injuries and exposure);
                  • they apply mainly to the populations in which they were developed
                    (e.g., elite football or basketball players);
                  • their results depend heavily on the quality and reliability of the input
                    data;
                  • for many sports, including wrestling and other combat sports, suit-
                    able validated models have not yet been developed.
                  In youth and recreational athletes, it is therefore often more appropri-
                ate to use simpler screening approaches, such as:
                  • systematic recording and consideration of previous injuries, as sev-
                    eral prospective studies and reviews indicate that previous injury is
                    one of the strongest predictors of subsequent injury in both youth
                    and adult athletes (Hägglund et al., 2006; Theisen et al., 2014);
                  • monitoring of training loads (total training volume, changes in load,
                    and the combination of club and national-team commitments),
                    since inadequate load management and overload can substantially
                    increase the risk of injuries and overuse syndromes in young ath-
                    letes (Drew & Finch, 2016; Gabbett, 2016; Griffin et al., 2020; Michai-
                    lidis, 2024);
                  • basic physical fitness testing (strength, flexibility, stability, and bal-
                    ance), which, through simple field tests, enables the identification
                    of limitations and asymmetries and is often incorporated into stan-
                    dard sports assessment procedures for youth athletes (Pfeifer et al.,
                    2019);
                  • assessment of other known risk factors, such as insufficient sleep,
                    chronic fatigue, psychological stress, and overload, which are recog-
                    nised in guidelines for youth athletes as important contributors to

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