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Three-step method for menstrual and oral contraceptive cycle verification
Mia A Schaumberg1, David G Jenkins2, Xanne A K Janse de Jonge3
1School of Human Movement and Nutrition Sciences, The University of Queensland, Australia; Queensland Brain Institute, The University of Queensland, Australia.
A new three-step method effectively identifies the high hormone phase in recreationally-active women, improving exercise science research. Lower age, body fat, and longer cycles were linked to luteal phase deficiency.
Area of Science:
- Exercise Science
- Sports Medicine
- Reproductive Endocrinology
Background:
- Ovarian hormone fluctuations can impact exercise performance, but their status is often unverified in research.
- Lack of standardized methods for tracking ovarian hormones limits the reliability of exercise science and sports medicine studies involving female participants.
Purpose of the Study:
- To evaluate a three-step method for verifying the mid-luteal (high hormone) phase in women using oral contraceptives or natural cycles.
- To identify demographic and hormonal factors associated with unsuccessful classification of the high hormone phase.
Main Methods:
- A cross-sectional study involving 54 recreationally-active women (oral contraceptive users and those with natural cycles).
- Utilized a three-step process: menstrual cycle mapping, urinary ovulation prediction, and serum/plasma hormone analysis.
- Verification of ovarian hormone concentrations was performed 6-12 days post-ovulation prediction.
Main Results:
- The three-step method successfully verified the mid-luteal phase in 100% of oral contraceptive users and 70% of naturally-menstruating women.
- Overall method success was 89% after excluding participants with luteal phase deficiency (30% of natural cycle group).
- Lower age, body fat percentage, and longer menstrual cycle length were significantly associated with luteal phase deficiency.
Conclusions:
- The described step-wise method is effective for verifying ovarian hormone status in physically active women.
- Incorporating age, body fat, and cycle length aids in identifying luteal phase deficiency.
- Findings support the development of stricter exclusion criteria for female participants in research to minimize hormonal variability in sports and exercise science.
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