Reliability of Menstrual Cycle Apps for Conception

Usage of Mobile Applications

Many women utilize mobile applications to monitor various aspects of their menstrual cycle, particularly fertility and ovulation. Recent research has focused on the reliability of these apps for couples aiming to conceive. Given that the window of peak fertility is typically brief and ovulation can be unpredictable—even for women with regular cycles—accurate predictions are crucial.

Understanding the Fertile Window

The fertile window is mainly determined by the lifespan of sperm and the egg within the reproductive tract, usually spanning four to six days during a menstrual cycle. The likelihood of conception is influenced by several factors, with probabilities ranging from 5 to 10% in the initial two days of the fertile window, and peaking at 20 to 30% in the two to three days leading up to ovulation.

Challenges with App Accuracy

Women actively trying to conceive often rely on these applications to strategically plan sexual intercourse, aiming to avoid misestimating their fertile phase. However, a significant concern arises from the fact that many menstrual apps are not regulated, leading to uncertain quality control and accuracy.

Recommendations from Experts

The American Society for Reproductive Medicine has recently advised couples to engage in sexual intercourse every one to two days throughout the entire menstrual cycle to maximize natural fertility potential. Numerous developers have created apps designed to help women track their menstrual cycles and estimate their fertile windows by incorporating personal details such as mood, sexual activity, physical symptoms, and exercise.

Research Evaluation of Menstrual Apps

A study published in *Frontiers in Public Health* introduced a scoring system to evaluate existing apps that assist women in conceiving. The researchers analyzed twelve applications, including six calendar-based, two calculothermal, and four symptom-based apps. Calendar-based apps rely on previously logged menstrual cycles, while symptom-based apps consider real-time data like temperature changes and cervical mucus patterns. The assessed applications were available in English and German, did not require additional devices, and were popular choices for women attempting to conceive.

Findings on Fertility Predictions

The study found that calendar-based apps received a score of zero for their predictions, as they solely relied on historical data. Calculothermal apps also underperformed in accurately predicting fertile dates. Conversely, symptom-based apps utilized current cycle parameters to estimate fertile days more effectively.

Conclusions and Future Research

Researchers concluded that the variability in ovulation days and menstrual cycle lengths makes it difficult to predict the fertile window accurately. Apps that depend on past cycle data alone are inadequate for identifying optimal fertile dates. They emphasized the necessity for future prospective studies to scientifically assess these cycle apps, potentially benefiting women’s health and couples seeking to conceive. However, the study noted limitations, including the lack of evaluation on privacy, data protection, and app costs. The rating system developed does not extend to contraceptive efficacy, as it was not intended to monitor unintended pregnancies.

Reference

Freis, A., Freundl-Schütt, T., Wallwiener, L., Baur, S., Strowitzki, T., Freundl, G., & Frank-Herrmann, P. (2018). Plausibility of menstrual cycle apps claiming to support conception. *Frontiers in Public Health, 6*. https://doi.org/10.3389/fpubh.2018.00098