Using the ratio of urinary oestrogen and progesterone metabolites to estimate day of ovulation
Abstract
We have developed a method of estimating day of ovulation using urinary ovarian hormone data. The method identifies a day of luteal transition that occurs at the shift from production of follicular oestrogen to luteal progesterone. The algorithm for identifying this shift was evaluated and judged better than specified alternatives in that it resulted in (1) a high concordance between the day of luteal transition and peaks in urinary luteinizing hormone (LH) for cycles with well‐defined peaks, (2) a low variance in the length of the luteal phase of the menstrual cycle, which presumably reflects a low measurement error in estimating day of ovulation, and (3) a high proportion of cycles for which an approximate day of ovulation could be determined. To validate the new algorithm, it was applied to an independent data set. The algorithm identified a day of luteal transition in 88 percent of these cycles, and the identified day occurred within two days of the urinary LH peak for all of the cycles with clear LH peaks. Determination of the day of luteal transition to estimate ovulation requires only first‐morning urine specimens, requires no correction for day‐to‐day variations in urine concentration, and can be applied to a mid‐ycle window of data.
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The DLT ovulation detection algorithm has been designed to coincide with the peak of the LH surge.
“The DLT ovulation detection algorithm has been designed to coincide with the peak of the LH surge.47”
From Real-world menstrual cycle characteristics of more than 600,000 menstrual cycles (2019) · cites this paper as [47]
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Who is stressed? Comparing cortisol levels between individuals
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- Authors
- Baird, D. D., Weinberg, C. R., Wilcox, A. J., McConnaughey, D. R., & Musey, P. I.
- Affiliations
- National Institutes of Health (US)
- Clark Atlanta University (US)
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1991-02
- Volume
- 10
- Issue
- 2
- Pages
- 255-266
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2168906967
- Cited by
- 160
- References
- 24
- Citations by year
- 2026: 2 · 2024: 2 · 2023: 3 · 2022: 3 · 2021: 1 · 2020: 6 · 2019: 6 · 2018: 9 · 2017: 4 · 2016: 5 · 2015: 8 · 2014: 7 · 2013: 2 · 2012: 4
- FWCI
- 3.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Statistics in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Reproductive Health and Technologies
- Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Reproductive Health and Contraception
- Keywords
- luteal progesterone, luteinizing hormone peak, luteal phase length, menstrual cycle, ovarian hormones, first morning urine
- MeSH terms
- Algorithms, Estrogens, Female, Humans, Luteinizing Hormone, Ovulation Detection, Progesterone
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