Measuring quantitative menstrual cycle hormones at home may help women better understand their postpartum and perimenopause fertility transitions, but these quantitative fertility monitors require validation.
Materials and Methods
This study included 16 North American women, aged 28-51, during either the postpartum (n = 8, cycles = 18) or perimenopause (n = 8, cycles = 35) fertility transitions testing daily first-morning urine testing with both the Mira Monitor and ClearBlue Fertility Monitor (CBFM) along with menstrual cycle parameter tracking. The main outcome measures were a rise in estrone-3-glucuronide (E13G) and luteinizing hormone (LH) urine hormone values from the Mira monitor correlated to low, high, or peak values on the CBFM.
Results
Both in the postpartum and perimenopause transitions, the identification of the day of ovulation based on the LH surge on the Mira and CBFM monitors was highly correlated (R = 0.94 and 0.83, p < 0.001). The E13G levels on the Mira monitor were significantly higher for a CBFM reading of "High" compared with "Low" for both the postpartum and perimenopausal cycles (all p < 0.001). Similarly, the LH levels on the Mira monitor were significantly higher for a CBFM reading of "Peak" (LH surge) compared with "High" for both the postpartum and perimenopausal cycles (all p < 0.001).
Conclusions
The LH surge and levels of E13G in urine identified on the quantitative Mira fertility monitor strongly correlate to the LH surge and the shift from low to high on the CBFM during the postpartum and perimenopause transitions.
at-home urinary hormone validation postpartum perimenopause, Bouchard Fehring Schneider urinary hormone monitoring, postpartum fertility return hormone measurement validation, perimenopause transition urinary hormone home testing, Mira Plus fertility monitor validation clinical study, LH estrogen progesterone home urine testing accuracy, fertility awareness postpartum perimenopause hormones, Women Health Reports at-home hormone validation 2025, ovulation detection home hormone monitor postpartum, PdG E3G LH urinary metabolite postpartum tracking
PMID 40308373 40308373 DOI 10.1089/whr.2024.0157 10.1089/whr.2024.0157
Cite this article
Bouchard, T. P., Doyle-Baker, P. K., Yong, P. J., Fehring, R., & Schneider, M. (2025). Validating At-Home Urinary Hormone Measurements in Postpartum and Perimenopause Fertility Transitions. Women's health reports (New Rochelle, N.Y.), 6(1), 369-376. https://doi.org/10.1089/whr.2024.0157
Bouchard TP, Doyle-Baker PK, Yong PJ, Fehring R, Schneider M. Validating At-Home Urinary Hormone Measurements in Postpartum and Perimenopause Fertility Transitions. Womens Health Rep (New Rochelle). 2025;6(1):369-376. doi:10.1089/whr.2024.0157
Bouchard, T. P., et al. "Validating At-Home Urinary Hormone Measurements in Postpartum and Perimenopause Fertility Transitions." Women's health reports (New Rochelle, N.Y.), vol. 6, no. 1, 2025, pp. 369-376.
Related articles
Menstrual CycleCycle VariabilityUrinary Hormone MonitoringHeat Map Analysis
Open Access
There is considerable individual day-to-day variation within the menstrual cycle and between cycles in women. Average hormone curves inadequately describe the individual hormone patterns experienced by women. The present study applies a novel application of a statistical array (heat map) to demonstrate both individual and group menstrual cycle hormone variability.
Using pre-existing datasets, two cohorts of women were analysed using a statistical method to visualise quantitative hormonal variation. In one cohort, 107 women contributed a total of 283 menstrual cycles and in the second cohort, 21 women contributed a total of 62 menstrual cycles. Women collected first morning urine samples for analysis of estrone-3-glucuronide (E1G) and luteinizing hormone (LH) in both datasets. In the larger dataset, pregnanediol-3-alpha-glucuronide (PDG) and follicle-stimulating hormone (FSH) were also collected. Serial ultrasounds identified the precise day of ovulation in the larger dataset. In the smaller dataset, peak LH was used to identify the estimated day of ovulation.
The main outcome measure was identifying hormonal variability using hormone array heat maps. Heat maps were able to quickly show clustering of hormone patterns in the fertile window and on the day of ovulation. Individual differences were identified in rows on the heat map relative to the day of ovulation. This new tool to visually represent hormonal changes with heat maps identifies both individual and group variability of menstrual cycle hormones.
Perimenopause/MenopauseHormone TrackingUrinary Hormone MonitoringPerimenopause
Open Access
The fertility tracking of menstrual cycles during perimenopause with a quantitative hormone monitor is a novel undertaking. Women in regular menstrual cycles have been tracking their fertility using different biomarkers since the 1960's. Presently, there are newer electronic hormonal devices used to track fertility that provide more exact and objective data to help delineate the fertile time frame of a woman's cycle. These devices measure quantitative levels of estrogen, the luteinizing hormone, progesterone, and follicle-stimulating hormone, all of which occur at varying levels during the menstrual cycle. As women advance toward menopause, their cycles vary in length, and their hormones fluctuate. In this retrospective analysis, forty-two women aged 40 to 50 tracked their cycles over time, and eight of these forty-two women used the quantitative hormonal device. With the use of this device, the perimenopausal period has revealed distinct hormonal cycle characteristics that are unique to this group of women. It is the purpose of this paper to discuss these cycle's characteristics during perimenopause, which were found with the use of the quantitative hormonal device.
Fertility AwarenessUrinary Hormone MonitoringBBT and Cervical Mucus ValidationPregnanediol Glucuronide Threshold
Do the basal body temperature (BBT) shift and the cervical mucus markers for the beginning of the post-ovulatory infertile phase (POIP) of a menstrual cycle agree with the corresponding urinary pregnanediol glucuronide (PdG) threshold value? Perfect agreement between the cervical mucus markers and BBT shift and the hormonal definition of the start of post-ovulatory infertility occurred for only 7-17% of the cycles. The PdG threshold of 7.0 µmol/24 h is an objective and accurate marker for the beginning of the POIP. The rise in serum progesterone also produces the BBT shift and changes in cervical mucus which determine the mucus peak. Serum progesterone and urinary PdG are closely correlated when variations in urine volume are taken into account. STUDY DESIGN, SIZE, Individual menstrual cycle profiles of urinary PdG excretion rates for 91 fertile cycles from normally cycling women were analysed to identify the day of the beginning of the POIP. These days were compared with those determined by the day of the BBT shift +2 days, the day of the mucus peak +4 days and the later of these two indicators. The study lasted 3 years. PARTICIPANTS/MATERIALS, SETTING, A total of 62 women with normal menstrual cycles were Palmerston North, New Zealand; Sydney, Australia and Santiago, Chile. The cycles were displayed individually in a proprietary database program which recorded the PdG excretion rates, the BBT shift day and the cervical mucus peak day. A group of 15 women from a separate Chilean study had PdG urinary data measured as well as their day of ovulation determined by ultrasound. MAIN The BBT and cervical mucus markers differed significantly in their identification of the beginning of the POIP when compared with the PdG excretion rate of 7.0 µmol/24 h. The observation that the BBT shift day and the mucus peak day could be identified even though the PdG excretion rates were still at baseline levels in some cycles could lead to an unexpected pregnancy for women using these natural family planning (NFP) indicators. LIMITATIONS, The study consisted only of fertile cycles from women with regular cycles of 20-40 days duration. All the women were intending to avoid a pregnancy during the study, thus the limits of the fertile window were not tested. The NFP signals occurring earlier than the PdG threshold day could lead to an unexpected pregnancy. The signals occurring on the same day or later than the PdG threshold would not lead to unexpected pregnancies, but would require extra abstinence that could lead to non-compliance with the NFP method. A possible improvement in reliability of NFP methods is suggested. This study (project #90905) was funded by the NDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP). D.G.C. currently works for a diagnostic development company, Science Haven Ltd. The other authors have nothing to declare.
Zipper R et al., 2021·Women's health reports (New Rochelle, N.Y.)
Chronic pelvic pain (CPP) is a common and debilitating condition that affects millions of U.S. women. Most treatments are ineffective and innovative new therapies are desperately needed. Large, controlled studies show that photobiomodulation (PBM) can reduce pain in patients with other chronic pain conditions, such as low back pain, neck pain, and fibromyalgia. The objective of this pilot study was to determine if transvaginal PBM (TV-PBM) can reduce pain in women with CPP. We conducted a before and after, observational, pilot study. Patients completed the Short Form-McGill Pain Questionnaire (SF-MPQ) at baseline, 1 week, 3 months, and 6 months after nine treatments of TV-PBM. Clinicians completed the Clinical Global Impression Scale (CGI) assessing patient illness severity at the same time. Wilcoxon rank-sum t-tests and effect size using Cohen's d coefficient (low effect size if d < 0.2, medium if 0.2 < d > 8, and high if d > 0.8) was used to measure degree of pain improvement, which was also considered clinically significant if pain reduction was >30%. Thirteen women completed 9 treatments, and 10 women were successfully followed to 6 months. At baseline, the mean SF-MPQ score was 19.7 (standard deviation [SD] ± 5.9). Compared with baseline, 60% improved; the mean SF-MPQ score decreased to 10.0 (SD ±7.5, p = 0.004, d = 1.6) at 1 week after treatment, to 9.7 (SD ±7.9, p = 0.005, d = 1.7) at 3 months, and 8.2 (SD ±8.1, p = 0.002, d = 1.9) at 6 months. Transvaginal PBM provided significant and sustained pain relief to women with CPP up to 6 months. Further controlled studies are needed to confirm these findings, however, in this initial pilot, TV-PBM shows promise.