Correlates of menstrual cycle characteristics among nulliparous Danish women
Authors Hahn KA, Wise LA, Riis AH, Mikkelsen EM, Rothman KJ, Banholzer K, Hatch EE
Received 13 April 2013
Accepted for publication 22 May 2013
Published 19 August 2013 Volume 2013:5(1) Pages 311—319
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 3
Kristen A Hahn,1 Lauren A Wise,1,2 Anders H Riis,3 Ellen M Mikkelsen,3 Kenneth J Rothman,1,4 Kristen Banholzer,1 Elizabeth E Hatch1
1Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA; 2Slone Epidemiology Center, Boston University, Boston, MA, USA; 3Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 4RTI Health Solutions, Research Triangle Park, NC, USA
Objective: We examined the association between lifestyle factors and menstrual cycle characteristics among nulliparous Danish women aged 18–40 years who were participating in an Internet-based prospective cohort study of pregnancy planners.
Methods: We used cross-sectional data collected at baseline to assess the association of age, body mass index (BMI), physical activity, alcohol and caffeine consumption, and smoking with the prevalence of irregular cycles, short (≤25 days) and long (≥33 days) cycles, and duration and amount of menstrual flow. We used log-binomial and multinomial logistic regression to estimate prevalence ratios and 95% confidence intervals.
Results: Low physical activity and heavy alcohol consumption were associated with an increased prevalence of irregular periods. High BMI, smoking, and caffeine and alcohol consumption were related to an increased prevalence of short menstrual cycles and heavy menstrual bleeding. Women in their mid-to-late thirties had shorter and lighter menstrual flow, but a lower prevalence of irregular cycles, compared with women 18–25 years of age.
Discussion: In this study, increased age, high BMI, and sedentary behavior were associated with menstrual-pattern irregularities. These factors may influence the balance and level of endogenous hormones conducive to optimal menstrual function.
Keywords: menstrual cycle, body mass index, alcohol drinking, smoking, caffeine, physical activity, menstruation
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