Evaluating Functional Capacity in Athletes: A Systematic Review of Measurement Tools and Techniques
DOI:
https://doi.org/10.53905/joska.v1i03.19Kata Kunci:
Functional assessment, athletic performance, movement screening, return-to-sport, measurement properties, performance testing, sport-specific evaluationAbstrak
Purpose of the Study: This systematic review aimed to evaluate and compare the reliability, validity, and clinical utility of functional capacity assessment tools and techniques used in athletic populations across various sports disciplines.
Materials and Methods: A comprehensive search of electronic databases (PubMed, CINAHL, SPORTDiscus, Web of Science, and Cochrane Library) was conducted for studies published between January 2000 and September 2024. Studies evaluating functional capacity measurement tools in athlete populations were included. Two independent reviewers assessed methodological quality using the COSMIN checklist, and data extraction was performed using a standardized form.
Results: From 1,742 initially identified studies, 87 met the inclusion criteria, evaluating 43 distinct functional capacity assessment tools. Field-based tests demonstrated higher ecological validity but lower standardization than laboratory assessments. Sport-specific tools showed greater sensitivity for detecting performance deficits compared to generic assessments. Reliability was highest for technology-assisted measurements (ICC>0.85) compared to observational tools (ICC 0.62-0.79). The Y-Balance Test, Functional Movement Screen, and sport-specific performance batteries emerged as the most comprehensively validated tools across multiple sports.
Conclusions: While several valid and reliable tools exist for evaluating functional capacity in athletes, selection should be guided by sport-specific requirements, available resources, and assessment purpose. Multi-dimensional assessment batteries that combine quantitative performance metrics with qualitative movement pattern analysis provide the most comprehensive evaluation of athletic functional capacity. Future research should focus on establishing minimal clinically important differences and developing sport-specific normative data.
Referensi
Bompa, T. O., & Buzzichelli, C. A. (2019). Periodization: Theory and methodology of training (6th ed.). Human Kinetics.
Bonazza, N. A., Smuin, D., Onks, C. A., Silvis, M. L., & Dhawan, A. (2017). Reliability, validity, and injury predictive value of the Functional Movement Screen: A systematic review and meta-analysis. American Journal of Sports Medicine, 45(3), 725-732. https://doi.org/10.1177/0363546516641937
Bishop, D. (2008). An applied research model for the sport sciences. Sports Medicine, 38(3), 253-263. https://doi.org/10.2165/00007256-200838030-00005
Butler, R. J., Southers, C., Gorman, P. P., Kiesel, K. B., & Plisky, P. J. (2013). Differences in soccer players' dynamic balance across levels of competition. Journal of Athletic Training, 48(6), 804-809. https://doi.org/10.4085/1062-6050-48.5.02
Camomilla, V., Bergamini, E., Fantozzi, S., & Vannozzi, G. (2018). Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: A systematic review. Sensors, 18(3), 873. https://doi.org/10.3390/s18030873
Cook, G., Burton, L., Hoogenboom, B. J., & Voight, M. (2014). Functional movement screening: The use of fundamental movements as an assessment of function‐part 1. International Journal of Sports Physical Therapy, 9(3), 396-409.
Fox, A. S., Bonacci, J., McLean, S. G., Spittle, M., & Saunders, N. (2014). What is normal? Female lower limb kinematic profiles during athletic tasks used to examine anterior cruciate ligament injury risk: A systematic review. Sports Medicine, 44(6), 815-832. https://doi.org/10.1007/s40279-014-0168-8
Hegedus, E. J., McDonough, S. M., Bleakley, C., Baxter, D., & Cook, C. E. (2015). Clinician-friendly lower extremity physical performance tests in athletes: A systematic review of measurement properties and correlation with injury. British Journal of Sports Medicine, 49(10), 642-648. https://doi.org/10.1136/bjsports-2014-094094
Hewett, T. E., Myer, G. D., Ford, K. R., Paterno, M. V., & Quatman, C. E. (2016). Mechanisms, prediction, and prevention of ACL injuries: Cut risk with three sharpened and validated tools. Journal of Orthopaedic Research, 34(11), 1843-1855. https://doi.org/10.1002/jor.23414
Isnandar, M., Alhumary, F. M., Krzykarist, K., Zega, R., Hutajulu, R. B., Putri, R. J. A., … & Hofmeister, M. (2025). Integrating sports massage into pre-training routines can enhance athletic preparedness and performance capacity in kabaddi players. INSPIREE: Indonesian Sport Innovation Review, 6(01), 11-18. https://doi.org/10.53905/inspiree.v6i01.137
Manske, R., & Reiman, M. (2021). Functional testing in human performance (2nd ed.). Human Kinetics.
McCall, A., Carling, C., Davison, M., Nedelec, M., Le Gall, F., Berthoin, S., & Dupont, G. (2015). Injury risk factors, screening tests and preventative strategies: A systematic review of the evidence that underpins the perceptions and practices of 44 football (soccer) teams from various premier leagues. British Journal of Sports Medicine, 49(9), 583-589. https://doi.org/10.1136/bjsports-2014-094104
Meeuwisse, W. H., Tyreman, H., Hagel, B., & Emery, C. (2007). A dynamic model of etiology in sport injury: The recursive nature of risk and causation. Clinical Journal of Sport Medicine, 17(3), 215-219. https://doi.org/10.1097/JSM.0b013e3180592a48
Mokkink, L. B., de Vet, H. C. W., Prinsen, C. A. C., Patrick, D. L., Alonso, J., Bouter, L. M., & Terwee, C. B. (2018). COSMIN risk of bias checklist for systematic reviews of patient-reported outcome measures. Quality of Life Research, 27(5), 1171-1179. https://doi.org/10.1007/s11136-017-1765-4
Moran, R. W., Schneiders, A. G., Mason, J., & Sullivan, S. J. (2017). Do Functional Movement Screen (FMS) composite scores predict subsequent injury? A systematic review with meta-analysis. British Journal of Sports Medicine, 51(23), 1661-1669. https://doi.org/10.1136/bjsports-2016-096938
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Robertson, S., Kremer, P., Aisbett, B., Tran, J., & Cerin, E. (2017). Consensus on measurement properties and feasibility of performance tests for the exercise and sport sciences: A Delphi study. Sports Medicine - Open, 3(1), 2. https://doi.org/10.1186/s40798-016-0071-y
Tarara, D. T., Hegedus, E. J., & Taylor, J. B. (2016). Real-time test-retest and interrater reliability of select physical performance measures in physically active college-aged students. International Journal of Sports Physical Therapy, 11(6), 945-954.
Terwee, C. B., Bot, S. D., de Boer, M. R., van der Windt, D. A., Knol, D. L., Dekker, J., Bouter, L. M., & de Vet, H. C. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34-42. https://doi.org/10.1016/j.jclinepi.2006.03.012
Verhagen, E., & Gabbett, T. (2019). Load, capacity and health: Critical pieces of the holistic performance puzzle. British Journal of Sports Medicine, 53(1), 5-6. https://doi.org/10.1136/bjsports-2018-099819
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Hak Cipta (c) 2025 Nimrot Manalu, Mei Chintia Haerani Mei Chintia Haerani,, Yusuf Naibaho, Esran Polin harefa (Author)

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