A comparison of methods to predict ovulation day, menstrual cycle characteristics and variability in professional female soccer players

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.

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Publication Details

Journal
Experimental Physiology
Published
2025-07-16
DOI
https://doi.org/10.1113/ep092476
Primary Topic
Exercise and Physiological Responses
Type
article
Field-Weighted Citation Impact
0.00

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article

A comparison of methods to predict ovulation day, menstrual cycle characteristics and variability in professional female soccer players

Ian Rollo, Craig Twist, Rosie Anderson, Richard Burden et al.
Experimental Physiology
Exercise and Physiological Responses
article

A comparison of methods to predict ovulation day, menstrual cycle characteristics and variability in professional female soccer players

Ian Rollo, Craig Twist, Rosie Anderson, Richard Burden, Samantha L. Moss, Rebecca K. Randell, Daniel Martin
article en

Abstract

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.

Experimental PhysiologyVol. 111(2)
Manchester Metropolitan University (GB), PepsiCo (United Kingdom) (GB), University of Chester (GB), Loughborough University (GB), United Kingdom Sport (GB), University of Lincoln (GB), Liverpool John Moores University (GB)
University of Chester
Openalex Percentile: Top 78%
Exercise and Physiological Responses
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