{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T14:12:43Z","timestamp":1771855963432,"version":"3.50.1"},"reference-count":30,"publisher":"Cambridge University Press (CUP)","issue":"4","license":[{"start":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T00:00:00Z","timestamp":1766707200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["Br J Nutr"],"published-print":{"date-parts":[[2026,2,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Body composition (BC) offers essential insights into the physical condition and performance capacity of athletes. Several factors can influence athletes\u2019 BC, such as nutrition, which can improve lean mass (LM) and body fat percentage (%BF). This longitudinal observational study aimed to investigate the factors influencing BC in professional female football players, including hormones, dietary habits and physical activity, as these are relevant to their sport performance and health. Data related to dietary habits, dual-energy X-ray absorptiometry measurements, serum hormones, menstruation and global position system metrics were collected in November 2023 and late March 2024 from thirty-eight female football players from the Real Sociedad team. Of the thirty-eight players enrolled, thirty-five completed all assessments and were included in the final analyses. Spearman correlations and linear regression analyses were performed. Statistically significant models were executed for %BF and LM (adjusted R\n                    <jats:sup>2<\/jats:sup>\n                    = 0\u00b755 and 0\u00b747, respectively). For %BF, total testosterone had a positive influence, while high-speed running per minute, follicle-stimulating hormone, distance covered per minute, prolactin and fat intake influenced negatively. In the LM model, positive associations were total testosterone, progesterone, age, adrenocorticotropic hormone and carbohydrate intake, while insulin, distance covered per minute and sex hormone binding globulin had negative associations. These results emphasise the complexity of the factors influencing BC in female football players. Personalising and periodising carbohydrate intake and monitoring training loads are crucial to prevent adverse effects such as higher %BF and muscle catabolism. Establishing healthy nutritional practices is essential for long-term health and performance.\n                  <\/jats:p>","DOI":"10.1017\/s0007114525106041","type":"journal-article","created":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T07:07:38Z","timestamp":1766732858000},"page":"399-407","update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":0,"title":["Associations of carbohydrate intake, high-speed running and testosterone levels with body fat percentage in professional female football players: a longitudinal study"],"prefix":"10.1017","volume":"135","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5411-659X","authenticated-orcid":false,"given":"Nerea","family":"Pe\u00f1a","sequence":"first","affiliation":[{"name":"AZTI, Food Research, Basque Research and Technology Alliance (BRTA), Parque Tecnol\u00f3gico de 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