Patterns of Sleep Duration and Metabolic Biomarkers Across the Menstrual Cycle
Authors' conclusion
These data suggest that variation in habitual sleep duration along the menstrual cycle may be associated with metabolic function.
Study context
- Population
- Premenopausal women followed over 2 menstrual cycles, BioCycle Study, New York, 2005–2007
- Participants
- 259 women
- Outcome
- Associations between patterns of sleep duration and metabolic biomarkers (leptin, insulin, glucose, HOMA-IR)
- Follow-up
- 16 visits timed to menstrual cycle phases across 2 cycles
Methodological detailsmicrolongitudinal, linear mixed models with random intercepts and inverse probability weighting, Daily sleep diaries; leptin, insulin and glucose measured at 16 points timed to cycle phases, Variation in habitual sleep duration computed using L-moments
- Microlongitudinal
- Linear mixed models with random intercepts and inverse probability weighting
- Daily sleep diaries; leptin, insulin and glucose measured at 16 points timed to cycle phases
- Variation in habitual sleep duration computed using L-moments
Main finding
As reported in the abstract
- Sleep duration 1 or 2 nights before clinic visits not associated with metabolic biomarkers
- Greater variability (dispersion) in habitual sleep duration associated with lower mean insulin and HOMA-IR, not glucose
- Extremely short or long sleep bouts associated with higher mean leptin, insulin and HOMA-IR
- Adjusted for demographic, lifestyle, health confounders and menstrual cycle phase
Observational data: associations, not effects.
Original publication
Patterns of Sleep Duration and Metabolic Biomarkers Across the Menstrual Cycle. J Clin Endocrinol Metab. Published 26 March 2024. doi:10.
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