Age at Menarche, Menstrual Characteristics, and Risk of Preeclampsia
Author(s) -
Dejene Abetew,
Daniel A. Enquobahrie,
Michal Dishi,
Carole B. Rudra,
Raymond Miller,
Michelle A. Williams
Publication year - 2011
Publication title -
isrn obstetrics and gynecology
Language(s) - English
Resource type - Journals
eISSN - 2090-4444
pISSN - 2090-4436
DOI - 10.5402/2011/472083
Subject(s) - menarche , odds ratio , preeclampsia , medicine , confidence interval , logistic regression , body mass index , obstetrics , pregnancy , algorithm , gynecology , mathematics , demography , biology , genetics , sociology
We examined associations of age at menarche and menstrual characteristics with the risk of preeclampsia among participants ( n = 3,365) of a pregnancy cohort study. Data were collected using in-person interviews and medical record abstraction. Logistic regression was used to estimate adjusted odds ratio (OR) and 95% confidence interval (95% CI). There was a significant inverse association between age at menarche and risk of preeclampsia ( P value for trend < 0.05). Association of long cycle length (>36 days) with higher risk of preeclampsia was present only among women who had prepregnancy body mass index <25 kg/m 2 (interaction P value = 0.04). Early menarche is associated with higher risk of preeclampsia. Prepregnancy weight may modify associations of long menstrual cycles with risk of preeclampsia.
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