Ruoyan Zhu1, Bao Hui Lee1, Zhongwei Huang1, Inthrani Raja Indran1, Jun Li1, Liang Shen2, Michael S Kramer3, Eu-Leong Yong1. 1. Department of Obstetrics & Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore city, Singapore. 2. Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore city, Singapore. 3. Departments of Pediatrics and Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, Canada.
Abstract
OBJECTIVE: Although menstrual cycle length is one of the main concerns of women and may have important health consequences, little is known about its predictors. The aim of this study was to identify predictors of menstrual cycle length variability in healthy women. DESIGN: Prospective cross-sectional study. PATIENTS: Two hundred healthy women aged 21-45. MEASUREMENTS: A questionnaire was administered to determine lifestyle factors. Ovarian parameters, metabolic parameters, pituitary hormones, sex steroids and antimüllerian hormone (AMH) were measured. RESULTS: Women with long (≥35 days) and normal (25-34 days) menstrual cycles had >5-fold and >2-fold higher serum AMH levels, respectively, compared to those with short cycles (<25 days). Menstrual cycle length was associated with age but not lifestyle factors. Only one factor group (AMH, antral follicle count [AFC], ovarian volume, testosterone and LH) was significantly associated with menstrual cycle length. Within this factor group, only the ovarian parameters (AMH, AFC, ovarian volume) predicted menstrual cycle length. Each SD increase in AMH (32·9 pmol/l) and ovarian volume (2·29 cm(3) ) was associated with 2·80-fold (95% CI: 1·67-4·69) and 1·62-fold (95% CI: 1·08-2·43) increased risks, respectively, for longer menstrual cycles. CONCLUSIONS: AMH, AFC and ovarian volume are positively associated with menstrual cycle length in healthy women. Our identification of AMH as an independent predictor of menstrual cycle length puts forth a new notion of utilizing menstrual cycle length to predict possible AMH-dependent/-associated outcomes. In addition, this novel relationship may facilitate the interpretation of AMH levels and its clinico-pathological significance across different centres.
OBJECTIVE: Although menstrual cycle length is one of the main concerns of women and may have important health consequences, little is known about its predictors. The aim of this study was to identify predictors of menstrual cycle length variability in healthy women. DESIGN: Prospective cross-sectional study. PATIENTS: Two hundred healthy women aged 21-45. MEASUREMENTS: A questionnaire was administered to determine lifestyle factors. Ovarian parameters, metabolic parameters, pituitary hormones, sex steroids and antimüllerian hormone (AMH) were measured. RESULTS:Women with long (≥35 days) and normal (25-34 days) menstrual cycles had >5-fold and >2-fold higher serum AMH levels, respectively, compared to those with short cycles (<25 days). Menstrual cycle length was associated with age but not lifestyle factors. Only one factor group (AMH, antral follicle count [AFC], ovarian volume, testosterone and LH) was significantly associated with menstrual cycle length. Within this factor group, only the ovarian parameters (AMH, AFC, ovarian volume) predicted menstrual cycle length. Each SD increase in AMH (32·9 pmol/l) and ovarian volume (2·29 cm(3) ) was associated with 2·80-fold (95% CI: 1·67-4·69) and 1·62-fold (95% CI: 1·08-2·43) increased risks, respectively, for longer menstrual cycles. CONCLUSIONS:AMH, AFC and ovarian volume are positively associated with menstrual cycle length in healthy women. Our identification of AMH as an independent predictor of menstrual cycle length puts forth a new notion of utilizing menstrual cycle length to predict possible AMH-dependent/-associated outcomes. In addition, this novel relationship may facilitate the interpretation of AMH levels and its clinico-pathological significance across different centres.
Authors: Ali Abbara; Pei Chia Eng; Maria Phylactou; Sophie A Clarke; Tia Hunjan; Rachel Roberts; Sunitha Vimalesvaran; George Christopoulos; Rumana Islam; Kate Purugganan; Alexander N Comninos; Geoffrey H Trew; Rehan Salim; Artsiom Hramyka; Lisa Owens; Tom Kelsey; Waljit S Dhillo Journal: Front Endocrinol (Lausanne) Date: 2019-09-26 Impact factor: 5.555