{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T15:52:43Z","timestamp":1791388363971,"version":"4.3.3"},"reference-count":45,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T00:00:00Z","timestamp":1756080000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The increasing prevalence of sports injuries among young female volleyball players, driven by biomechanical and hormonal factors, necessitates effective prevention strategies. Screening tools like the Functional Movement Screen (FMS) and Star Excursion Balance Test (SEBT) often show inconsistent predictive validity for injury risk in this population. This study investigates associations between FMS, SEBT, agility, and muscle strength with injury risk in young female volleyball players to refine prediction models and inform targeted interventions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A cross-sectional, observational study involved 30 female volleyball players (aged 14\u201318\u202fyears, mean age 16.2\u202f\u00b1\u202f1.3\u202fyears, mean volleyball experience 3.5\u202f\u00b1\u202f1.1\u202fyears) from a Turkish amateur club. Assessments occurred over 2\u202fdays after a 5-min warm-up, with 2-min rests between trials, conducted by trained evaluators. On day one: (1) Functional Movement Screen (FMS), scoring seven movement patterns (0\u201321); (2) Star Excursion Balance Test (SEBT), measuring reach in eight directions, normalized to leg length. On day two: (3) Agility\n                      <jats:italic>t<\/jats:italic>\n                      -test, a timed T-shaped course; (4) Countermovement Jump (CMJ), recording the highest of three jumps.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Significant differences emerged in FMS scores (\n                      <jats:italic>p<\/jats:italic>\n                      \u202f=\u202f0.0012), SEBT anterior asymmetry (\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.0001), and CMJ heights (\n                      <jats:italic>p<\/jats:italic>\n                      \u202f=\u202f0.0198) across risk groups, with LR (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f5) showing superior performance (FMS\n                      <jats:italic>M<\/jats:italic>\n                      \u202f=\u202f15.4\u202f\u00b1\u202f0.9, CMJ\n                      <jats:italic>M<\/jats:italic>\n                      \u202f=\u202f38.2\u202f\u00b1\u202f3.3\u202fcm) versus HR (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f9, FMS\n                      <jats:italic>M<\/jats:italic>\n                      \u202f=\u202f10.8\u202f\u00b1\u202f2.1, CMJ\n                      <jats:italic>M<\/jats:italic>\n                      \u202f=\u202f27.2\u202f\u00b1\u202f8.9\u202fcm). A moderate negative correlation (\n                      <jats:italic>r<\/jats:italic>\n                      \u202f=\u202f\u22120.41,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f=\u202f0.0236) between FMS and SEBT asymmetry, and positive correlations with anterior reach (\n                      <jats:italic>r<\/jats:italic>\n                      \u202f=\u202f0.37\u20130.45,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.05), were noted. High-risk athletes (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f18) were taller (\n                      <jats:italic>M<\/jats:italic>\n                      \u202f=\u202f174.2\u202f\u00b1\u202f5.8\u202fcm,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f=\u202f0.0013) and showed a 4.2-fold increased risk with FMS\u202f\u2264\u202f14 and CMJ\u202f&amp;lt;\u202f30\u202fcm (OR\u202f=\u202f4.20,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f=\u202f0.0158), with combined FMS\/SEBT predicting risk with 89% accuracy (AUC\u202f=\u202f0.89,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.0001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>FMS scores, SEBT asymmetry, and CMJ heights effectively predict injury risk in young female volleyball players, with thresholds (FMS\u202f\u2264\u202f14, SEBT \u22654\u202fcm, CMJ\u202f&amp;lt;\u202f30\u202fcm) guiding targeted interventions. The study\u2019s focus on gender-specific risks and height-related biomechanics offers a foundation for tailored prevention programs, reducing healthcare costs and promoting equitable sports participation, aligning with global health priorities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2025.1658046","type":"journal-article","created":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T05:26:29Z","timestamp":1756099589000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Predicting injury risk in young female volleyball players through movement and jump assessments"],"prefix":"10.3389","volume":"13","author":[{"given":"Mustafa","family":"Erol","sequence":"first","affiliation":[{"name":"Faculty of Sports Sciences, Department of Exercise and Sport Sciences, Istanbul Rumeli University","place":["Istanbul, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatma Gozlukaya","family":"Girginer","sequence":"additional","affiliation":[{"name":"Faculty of Sport Sciences, Pamukkale University","place":["Denizli, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sinan","family":"Seyhan","sequence":"additional","affiliation":[{"name":"Faculty of Sport Sciences, Department of Coaching Education, Manisa Celal Bayar University","place":["Manisa, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gorkem","family":"Acar","sequence":"additional","affiliation":[{"name":"Department of Sport Science, Institute of Graduate Education, Manisa Celal Bayar University","place":["Manisa, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gunay","family":"Cerit","sequence":"additional","affiliation":[{"name":"Department of Physical Education and Sports, School of Physical Education and Sports, \u015e\u0131rnak University","place":["\u015e\u0131rnak, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meliha","family":"Uzun","sequence":"additional","affiliation":[{"name":"School of Physical Education and Sports, Department of Coaching Education, \u015e\u0131rnak University","place":["\u015e\u0131rnak, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caglar","family":"Soylu","sequence":"additional","affiliation":[{"name":"G\u00fclhane Faculty of Physiotherapy and Rehabilitation, University of Health Sciences","place":["Ankara, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,8,25]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1177\/1941738112464626","article-title":"Sports specialization in young athletes: evidence-based recommendations","volume":"5","author":"Jayanthi","year":"2013","journal-title":"Sports 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