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- Title
Menstrual Bleeding Patterns Among Regularly Menstruating Women.
- Authors
Dasharathy, Sonya S.; Mumford, Sunni L.; Pollack, Anna Z.; Perkins, Neil J.; Mattison, Donald R.; Wactawski-Wende, Jean; Schisterman, Enrique F.
- Abstract
Menstrual bleeding patterns are considered relevant indicators of reproductive health, though few studies have evaluated patterns among regularly menstruating premenopausal women. The authors evaluated self-reported bleeding patterns, incidence of spotting, and associations with reproductive hormones among 201 women in the BioCycle Study (2005–2007) with 2 consecutive cycles. Bleeding patterns were assessed by using daily questionnaires and pictograms. Marginal structural models were used to evaluate associations between endogenous hormone concentrations and subsequent total reported blood loss and bleeding length by weighted linear mixed-effects models and weighted parametric survival analysis models. Women bled for a median of 5 days (standard deviation: 1.5) during menstruation, with heavier bleeding during the first 3 days. Only 4.8% of women experienced midcycle bleeding. Increased levels of follicle-stimulating hormone (β = 0.20, 95% confidence interval: 0.13, 0.27) and progesterone (β = 0.06, 95% confidence interval: 0.03, 0.09) throughout the cycle were associated with heavier menstrual bleeding, and higher follicle-stimulating hormone levels were associated with longer menses. Bleeding duration and volume were reduced after anovulatory compared with ovulatory cycles (geometric mean blood loss: 29.6 vs. 47.2 mL; P = 0.07). Study findings suggest that detailed characterizations of bleeding patterns may provide more insight than previously thought as noninvasive markers for endocrine status in a given cycle.
- Subjects
NEW York (State); ANALYSIS of variance; BIOMARKERS; CONFIDENCE intervals; STATISTICAL correlation; FOLLICLE-stimulating hormone; HORMONES; LONGITUDINAL method; MENSTRUATION; QUESTIONNAIRES; RESEARCH funding; SELF-evaluation; SURVIVAL analysis (Biometry); TIME; REPRODUCTIVE health; SECONDARY analysis; STRUCTURAL equation modeling; BLOOD loss estimation; DIARY (Literary form); DESCRIPTIVE statistics
- Publication
American Journal of Epidemiology, 2012, Vol 175, Issue 6, p536
- ISSN
0002-9262
- Publication type
Article
- DOI
10.1093/aje/kwr356