Fertility Awareness Technology

Modern fertility awareness methods: wrist wearables capture the changes in temperature associated with the menstrual cycle

Shilaih M, Goodale BM, Falco L, Kübler F, De Clerck V, Leeners B

Published December 21, 2018 Bioscience Reports, 38(6), BSR20171279
DOI 10.1042/BSR20171279 PMID 29175999 PMC PMC6265623

RRM Academy Synopsis

Wrist wearables detected a temperature shift in 82% of cycles

A wrist sensor worn during sleep detected a sustained temperature rise in 82% of cycles (357 of 437) in an observational study of 136 women with regular cycles. Home luteinizing hormone (LH) tests estimated ovulation day. For 86% of those shifts (307 of 357), the rise came on ovulation day or later.

Key Findings

  • A sustained 3-day temperature shift appeared in 357 of 437 cycles (82%) from 136 women.
  • Among the 357 shifts, 307 (86%) occurred on ovulation day or later.
  • The lowest temperature of the cycle fell inside the fertile window in 41% of the 357 cycles. It came after ovulation in 12% and before the fertile window in 47%.
  • Wrist temperature was lower in the fertile phase and higher in both luteal phases than in the menstrual phase (all P<0.001). Phase differences remained significant after adjusting for meals, alcohol and sex.

Interpretation

A cohort study followed 136 women aged 20 to 40 with regular cycles. They wore a wrist sensor during sleep. Home LH tests marked ovulation day. The temperature rise showed up after ovulation had already happened. The rise confirmed ovulation after the fact. The findings support larger studies of wrist temperature sensing as a fertility sign.

RRM Context

Temperature charting is one sign that fertility awareness-based methods use. Cervical mucus is another sign. The authors suggest wrist temperature could join these methods. A steady rise shows that ovulation has happened.

Abstract

Core and peripheral body temperatures are affected by changes in reproductive hormones during the menstrual cycle. Women worldwide use the basal body temperature (BBT) method to aid and prevent conception. However, prior research suggests that taking one's daily temperature can prove inconvenient and subject to environmental factors. We investigate whether a more automatic, non-invasive temperature measurement system can detect changes in temperature across the menstrual cycle. We examined how wrist skin temperature (WST), measured with wearable sensors, correlates with urinary tests of ovulation and may serve as a new method of fertility tracking. One hundred and thirty-six eumenorrheic, non-pregnant women participated in an observational study. Participants wore WST biosensors during sleep and reported their daily activities. An at-home luteinizing hormone (LH) test was used to confirm ovulation. WST was recorded across 437 cycles (mean cycles/participant = 3.21, S.D. = 2.25). We tested the relationship between the fertile window and WST temperature shifts, using the BBT three-over-six rule. A sustained 3-day temperature shift was observed in 357/437 cycles (82%), with the lowest cycle temperature occurring in the fertile window 41% of the time. Most temporal shifts (307/357, 86%) occurred on ovulation day (OV) or later. The average early-luteal phase temperature was 0.33°C higher than in the fertile window. Menstrual cycle changes in WST were impervious to lifestyle factors, like having sex, alcohol, or eating prior to bed, that, in prior work, have been shown to obfuscate BBT readings. Although currently costlier than BBT, the present study suggests that WST could be a promising, convenient parameter for future multiparameter fertility awareness methods.

Topics

By this author

Related research

Fertility Awareness › Technology › Wearable Devices · Menstrual Cycle › Cycle Biomarkers › Basal Body Temperature · Research Methods › Measurement and Statistics › Instrument Development and Validation
Mohaned Shilaih, Brianna M Goodale, Lisa Falco, Florian Kübler, Valerie De Clerck, Brigitte Leeners
M Shilaih, B Goodale, L Falco, F Kübler, V Clerck, B Leeners
PMID 29175999 29175999 DOI 10.1042/BSR20171279 10.1042/BSR20171279 Shilaih et al. 2018, Shilaih 2018