A comparison of methods to predict ovulation day, menstrual cycle characteristics and variability in professional female soccer players
Authors
Anderson, RosieRollo, Ian
Martin, Daniel
Burden, Richard
Randell, Rebecca
Twist, Craig
Moss, Samantha
Affiliation
University of Chester; Gatorade Sports Science Institute, Leicester; Loughborough University; University of Lincoln; UK Sports Institute, Manchester; Manchester Metropolitan University; Liverpool John Moores UniversityPublication Date
2025-07-16Submitted date
2024-12-02
Metadata
Show full item recordAbstract
This study aimed to compare three methods of predicting ovulation day: (1) a positive urinary luteinising hormone test (LH), (2) a sustained rise in salivary progesterone above critical difference (SP), and (3) a countback regression equation (CB), to determine variability in the menstrual cycle (MC) lengths and reproductive hormone concentrations of professional female soccer players. Eight players provided daily morning saliva samples for three consecutive cycles. Samples were analysed for oestradiol and progesterone concentrations. Each MC was separated into the follicular (FP) and luteal (LP) phases relative to the day of ovulation, using the three different methods. MC length ranged from 24 to 32 days (28.3 ± 2.4 days); intra‐assay coefficient of variation (7.5%) exceeded inter‐assay coefficient of variation (4.6%). Ovulation estimated using SP (15.4 ± 3.0 days) occurred later than LH (13.3 ± 2.0 days) (P = 0.017). The CB method (14.1 ± 1.8 days) did not differ from SP (P = 0.102) or LH (P = 0.262). Oestradiol and progesterone levels varied significantly between sub‐phases (P < 0.001). Inter‐variability surpassed intra‐variability for both hormones. Differences in methods for predicting ovulation indicate the need for standardised protocols. Individual variation in MC length and hormone concentrations challenges the narrative for group‐level MC recommendations, emphasising the need for individualised hormone monitoring across multiple cycles.Citation
Anderson, R., Rollo, I., Martin, D., Burden, R., Randell, R. K., Twist, C., & Moss, S. L. (2025). A comparison of methods to predict ovulation day, menstrual cycle characteristics and variability in professional female soccer players. Experimental Physiology, vol(issue), pages. https://doi.org/10.1113/EP092476Publisher
WileyJournal
Experimental PhysiologyDOI
10.1113/EP092476Additional Links
https://physoc.onlinelibrary.wiley.com/doi/10.1113/EP092476Type
ArticleDescription
© 2025 The Author(s). Experimental Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society.ISSN
0958-0670EISSN
1469-445XSponsors
This project was jointly funded by the University of Chester and the Gatorade Sports Science Institute as part of the Sustainable Futures Scholarship programme.ae974a485f413a2113503eed53cd6c53
10.1113/EP092476
Scopus Count
Collections
Except where otherwise noted, this item's license is described as Licence for VoR version of this article: http://creativecommons.org/licenses/by/4.0/


