{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T19:01:38Z","timestamp":1789153298422,"version":"build-2803163510"},"reference-count":45,"publisher":"PeerJ","license":[{"start":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T00:00:00Z","timestamp":1761782400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>\n                    This study aimed to identify and compare the basic anthropometric characteristics, physical performance, and game-related skills of female soccer players across different age groups, including under-15 (U15), U17, U19, and first teams. Also, it aimed to account for performance tests variability through anthropometric features. A total of 56 athletes participated in a comprehensive test battery assessing anthropometric and bioelectrical parameters, air displacement plethysmography (ADP), and physical performance (Countermovement Jump Test (CMJ) and 30-15\n                    <jats:sub>IFT<\/jats:sub>\n                    ). The older groups outperformed the younger players in physical and physiological characteristics. Significant differences were observed in body dimensions and composition, with the first team showing higher fat-free mass (FFM) than U15 and U17 players. Skinfold thickness was consistent across groups. The first team also exhibited the highest levels of power and speed, while U15 athletes showed the lowest CMJ. General linear models by stepwise procedures identified training hours as the main predictor for CMJ and speed, with each additional hour of training improving CMJ by 1 cm and speed by 1 km\/h. Additionally, a decrease in skinfold thickness predicted improved power. A multidimensional approach, including anthropometric, bioelectrical, and physical performance data, provides essential insights for supporting athletic development in young female soccer players and can inform tailored training strategies to enhance their physical performance.\n                  <\/jats:p>","DOI":"10.7717\/peerj.20096","type":"journal-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T08:09:46Z","timestamp":1761811786000},"page":"e20096","source":"Crossref","is-referenced-by-count":5,"title":["Age-related variation in the anthropometric profiles, body composition and functional capacities of female soccer players"],"prefix":"10.7717","volume":"13","author":[{"given":"Stefania","family":"Toselli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Federica","family":"Moro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martina","family":"Perugini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8171-5096","authenticated-orcid":true,"given":"Mario","family":"Mauro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4443","published-online":{"date-parts":[[2025,10,30]]},"reference":[{"issue":"6","key":"10.7717\/peerj.20096\/ref-1","first-page":"14","article-title":"Anthropometric characteristic, body composition and somatotype of Canadian female soccer players","volume":"2","author":"Adhikari","year":"2015","journal-title":"American Journal of Sports Science"},{"issue":"Suppl 2","key":"10.7717\/peerj.20096\/ref-2","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1123\/IJSPP.2017-0208","article-title":"Monitoring athlete training loads: consensus statement","volume":"12","author":"Bourdon","year":"2017","journal-title":"International Journal of Sports Physiology and Performance"},{"issue":"1","key":"10.7717\/peerj.20096\/ref-3","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1111\/J.1749-6632.1963.TB17079.X","article-title":"Densitometric analysis of body composition: revision of some quantitative assumptions","volume":"110","author":"Bro\u017eek","year":"1963","journal-title":"Annals of the New York Academy of Sciences"},{"issue":"2","key":"10.7717\/peerj.20096\/ref-4","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1519\/JSC.0B013E3181635B2E","article-title":"The 30\u201315 intermittent fitness test: accuracy for individualizing interval training of young intermittent sport players","volume":"22","author":"Buchheit","year":"2008","journal-title":"Journal of Strength and Conditioning Research"},{"issue":"148","key":"10.7717\/peerj.20096\/ref-5","first-page":"1","article-title":"The 30\u201315 intermittent fitness test\u2014two decades of learnings","volume":"1","author":"Buchheit","year":"2021","journal-title":"Sport Performance & Science Reports"},{"issue":"3","key":"10.7717\/peerj.20096\/ref-6","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/J.CJTEE.2024.01.001","article-title":"Total body water percentage and 3rd space water are novel risk factors for training-related lower extremity muscle injuries in young males","volume":"27","author":"Chen","year":"2024","journal-title":"Chinese Journal of Traumatology\u2014English Edition"},{"key":"10.7717\/peerj.20096\/ref-7","doi-asserted-by":"publisher","DOI":"10.4324\/9780203771587","author":"Cohen","year":"2013","journal-title":"Statistical power analysis for the behavioral sciences"},{"issue":"8","key":"10.7717\/peerj.20096\/ref-8","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1136\/BJSPORTS-2019-101961","article-title":"UEFA expert group statement on nutrition in elite football. 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