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Validity of Self-Reported Menstrual Cycle Length
Lauren C Bates-Fraser1, Marisa Wong1, Mia M Gaudet2
1Department of Population Science, American Cancer Society, Atlanta, GA, USA.
Annals of Epidemiology
|August 11, 2026
Summary
Self-reported menstrual cycle length shows fair agreement with calculated length when biological variability is considered. This supports its use in reproductive health research.
Area of Science:
- Reproductive Health
- Epidemiology
- Biostatistics
Background:
- Menstrual cycle length is a key indicator of reproductive and overall health.
- The accuracy of self-reported menstrual cycle data has been a subject of ongoing debate.
- Previous studies have questioned the reliability of self-reported menstrual cycle length.
Purpose of the Study:
- To assess the agreement between self-reported and calculated menstrual cycle length.
- To evaluate the validity of self-reported menstrual cycle data in premenopausal women.
- To provide empirical evidence for the use of self-reported menstrual cycle length in research.
Main Methods:
- Utilized data from the Cancer Prevention Study-3, including premenopausal participants.
- Self-reported cycle length was categorized, while calculated length was based on prospectively recorded start dates.
- Agreement was analyzed using descriptive statistics, Spearman's correlation, and weighted kappa, incorporating a ±7-day buffer for biological variability.
Main Results:
- Exact agreement was found in 44.9% of participants; this increased to 82.2% with a ±7-day buffer.
- Spearman's correlation improved from weak (ρ=0.17) to moderate (ρ=0.53) with the buffer.
- Weighted kappa indicated poor agreement (κ=0.15) without the buffer, improving to fair (κ=0.33) with it. Agreement varied across demographic subgroups.
Conclusions:
- Self-reported menstrual cycle length demonstrates fair agreement with calculated length when biological variability is accounted for.
- The findings support the use of self-reported menstrual cycle length in epidemiologic studies.
- This study provides justification for incorporating self-reported menstrual data in menstrual-related analyses.
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