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Level of Agreement Between a Modified, Three-Step Menstrual Cycle Tracking Method and a Female-Health Menstrual Cycle

Marissa L Doroshuk1, Constance M Lebrun2, Patricia K Doyle-Baker1,3,4

  • 1Human Performance Lab, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada.

Women'S Health Reports (New Rochelle, N.Y.)
|October 27, 2025
PubMed
Summary

This study compared a menstrual cycle tracking app's phase identification with hormone verification. The app showed good agreement with hormone measures, validating its use for tracking menstrual cycle variability.

Keywords:
limits of agreementmHealthmenstrual cycle trackingmobile applicationovulation

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Area of Science:

  • Reproductive endocrinology
  • Biomedical data science

Background:

  • Menstrual cycle (MC) variability tracking requires evidence-based methods for app data quality assessment.
  • Existing apps need validation against established physiological markers.

Purpose of the Study:

  • To assess the agreement between a menstrual cycle tracking app's phase identifications and a modified three-step method (m3stepMC) using hormone verification.
  • To evaluate the data quality of a female-health app for tracking menstrual cycle variability.

Main Methods:

  • Recruited participants (n=25) in Canada to track MC over 3 months using a female-health app.
  • Collected salivary hormones and ovulation measures during late-follicular (FP) and mid-luteal (MLP) phases.
  • Utilized Bland-Altman plots for agreement analysis and Pearson's correlations for effect size.

Main Results:

  • The app's phase estimations showed agreement with m3stepMC and hormone verification.
  • Agreements ranged from -2.2 ± 0.97 days (phase four vs. MLP) to 0.6 ± 1.66 days (phase one vs. FP).
  • Pearson's correlations (r) indicated significant relationships, with values from 0.64 to 0.94.

Conclusions:

  • The study validated an app's menstrual cycle phase system against hormone verification.
  • The findings support the use of the app for tracking menstrual cycle variability in eumenorrheic cycles.
  • Agreement was observed when menstrual cycle dates aligned between the app and the m3stepMC method.