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Purpose <p>To assess the accuracy, reliability, and validity of five mathematical equations across multiple cycles to predict menstrual cycle onset and date of ovulation in the applied environment.</p> Methods <p>11 professional female athletes who were either naturally menstruating or intrauterine device (IUD) users tracked their menstrual cycles throughout the course of an entire national women’s soccer league (NWSL) season. Participants recorded the first and last dates of each menstrual cycle, which were used in mathematical equations to predict next bleed and ovulation date, which were validated by retrospective analysis and confirmed by ovulation tests from two consecutive cycles.</p> Results <p>When predicting next bleed date, there was no difference in accuracy (MAE: 6 days), reliability (ICC3 = 0.60, 95% CI [0.53–0.68], <i>p</i> &lt; 0.001) (CV: 24.3 to 25.1%), or prediction error (β = −0.20, SE = 0.16, t(335) = − 1.22, 95% CI [− 0.65 − 0.24]) between the equations, yet there was a significant, positive association between cycle length and prediction error (β = 1.10, SE = 0.03, t(335) = 31.54, 95% CI [0.94–1.13]). When predicting ovulation date, there was no significant difference in accuracy (MAE: 4), or reliability (ICC3 = 0.45, 95% CI [0.18–0.75], <i>p</i> &lt; 0.001) (8.5–22.1%).</p> Conclusion <p>No equation emerged as significantly better when predicting next bleed or next ovulation date, and all equations had relatively high variability and error rate. It is imperative that practitioners monitor menstrual characteristics and consider cycle variability when utilizing equations to predict menstrual cycle bleed and ovulation date.</p>

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Assessing the accuracy, reliability, and validity of menstrual cycle phase tracking equations in an applied sport setting

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月10日

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  • Casey Greenwalt,
  • Paul Ansdell,
  • Kevin Thomas,
  • Kelly McNulty,
  • Glyn Howatson,
  • Amanda G. Mutuwa,
  • Owen Munro,
  • Kirsty M. Hicks

摘要

Purpose

To assess the accuracy, reliability, and validity of five mathematical equations across multiple cycles to predict menstrual cycle onset and date of ovulation in the applied environment.

Methods

11 professional female athletes who were either naturally menstruating or intrauterine device (IUD) users tracked their menstrual cycles throughout the course of an entire national women’s soccer league (NWSL) season. Participants recorded the first and last dates of each menstrual cycle, which were used in mathematical equations to predict next bleed and ovulation date, which were validated by retrospective analysis and confirmed by ovulation tests from two consecutive cycles.

Results

When predicting next bleed date, there was no difference in accuracy (MAE: 6 days), reliability (ICC3 = 0.60, 95% CI [0.53–0.68], p < 0.001) (CV: 24.3 to 25.1%), or prediction error (β = −0.20, SE = 0.16, t(335) = − 1.22, 95% CI [− 0.65 − 0.24]) between the equations, yet there was a significant, positive association between cycle length and prediction error (β = 1.10, SE = 0.03, t(335) = 31.54, 95% CI [0.94–1.13]). When predicting ovulation date, there was no significant difference in accuracy (MAE: 4), or reliability (ICC3 = 0.45, 95% CI [0.18–0.75], p < 0.001) (8.5–22.1%).

Conclusion

No equation emerged as significantly better when predicting next bleed or next ovulation date, and all equations had relatively high variability and error rate. It is imperative that practitioners monitor menstrual characteristics and consider cycle variability when utilizing equations to predict menstrual cycle bleed and ovulation date.