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This study aimed to develop an injury prediction model that incorporates clinical, Global-Positioning-System (GPS), and multiomics (genomics and metabolomics) data to better understand the factors associated with injury in elite female football players. <jats:italic><jats:bold>Methods<\/jats:bold>:<\/jats:italic> We designed a prospective cohort study over 2 seasons (2019\u201320 and 2021\u201322) of noncontact injuries in 24 elite female players in the Spanish Premiership competition. We used GPS data to determine external workload, genomic data to capture genetic susceptibility, and metabolomic data to measure internal workload. <jats:italic><jats:bold>Results<\/jats:bold>:<\/jats:italic> Forty noncontact injuries were recorded, the most frequent of which were muscle (63%) and ligament (20%) injuries. The baseline risk model included fat mass and the random effect of the player. Six genetic polymorphisms located at the <jats:italic>DCN, ADAMTS5, ESRRB, VEGFA<\/jats:italic>, and <jats:italic>MMP1<\/jats:italic> genes were associated with injuries after adjusting for player load (<jats:italic>P<\/jats:italic>\u2009&lt;\u2009.05). The genetic score created with these 6 variants determined groups of players with different profile risks (P\u2009=\u20093.1\u2009\u00d7\u200910<jats:sup>\u22124<\/jats:sup>). Three metabolites (alanine, serotonin, and 5-hydroxy-tryptophan) correlated with injuries. The model comprising baseline variables, genetic score, and player load showed the best prediction capacity (C-index: .74). <jats:italic><jats:bold>Conclusions<\/jats:bold>:<\/jats:italic> Our model could allow efficient, personalized interventions based on an athlete\u2019s vulnerability. However, we emphasize the necessity for further research in female athletes with an emphasis on validation studies involving other teams and individuals. By expanding the scope of our research and incorporating diverse populations, we can bolster the generalizability and robustness of our proposed model.<\/jats:p>","DOI":"10.1123\/ijspp.2023-0184","type":"journal-article","created":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T16:48:12Z","timestamp":1715878092000},"page":"661-669","source":"Crossref","is-referenced-by-count":14,"title":["Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data"],"prefix":"10.1123","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3267-2146","authenticated-orcid":true,"given":"Juan R.","family":"Gonz\u00e1lez","sequence":"first","affiliation":[{"name":"Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain"},{"name":"CIBER in Epidemiology and Public Health (CIBERESP), Barcelona, Spain"},{"name":"Department of Mathematics, Universitat Aut\u00f2noma de Barcelona (UAB), Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8551-6695","authenticated-orcid":true,"given":"Alejandro","family":"C\u00e1ceres","sequence":"additional","affiliation":[{"name":"Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain"},{"name":"CIBER in Epidemiology and Public Health (CIBERESP), Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9716-1577","authenticated-orcid":true,"given":"Eva","family":"Ferrer","sequence":"additional","affiliation":[{"name":"Medical Department of Football Club Barcelona (FIFA Medical Center of Excellence) and Bar\u00e7a Innovation Hub of Football Club Barcelona, Barcelona, Spain"},{"name":"Sports and Exercise Medicine Unit, Hospital Clinic and Sant Joan de D\u00e9u, Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3869-9737","authenticated-orcid":true,"given":"Laura","family":"Balagu\u00e9-Dob\u00f3n","sequence":"additional","affiliation":[{"name":"Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2888-8948","authenticated-orcid":true,"given":"Xavier","family":"Escrib\u00e0-Montagut","sequence":"additional","affiliation":[{"name":"Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9064-3303","authenticated-orcid":true,"given":"David","family":"Sarrat-Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4240-9846","authenticated-orcid":true,"given":"Guillermo","family":"Quint\u00e1s","sequence":"additional","affiliation":[{"name":"Leitat Technological Center, Terrassa, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8060-3914","authenticated-orcid":true,"given":"Gil","family":"Rodas","sequence":"additional","affiliation":[{"name":"Medical Department of Football Club Barcelona (FIFA Medical Center of Excellence) and Bar\u00e7a Innovation Hub of Football Club Barcelona, Barcelona, Spain"},{"name":"Sports and Exercise Medicine Unit, Hospital Clinic and Sant Joan de D\u00e9u, Barcelona, Spain"},{"name":"Leitat Technological Center, Terrassa, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"issue":"1","key":"r1","series-title":"BMJ Open Sport Exerc Med","doi-asserted-by":"publisher","DOI":"10.1136\/BMJSEM-2019-000675","article-title":"Estimation of injury costs: financial damage of English premier league teams\u2019 underachievement due to injuries","volume":"6","author":"Eliakim E","year":"2020","unstructured":"Eliakim E, Morgulev E, Lidor R, Meckel Y. 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