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Menstrual Cycle Irregularity and Metabolic Disorders: A Population-Based Prospective Study

The regularity of menstrual cycles is considered an indicator of women’s reproductive health. Previous studies with a cross-sectional design have documented the relationship between menstrual cycle irregularities, insulin-resistance and the future risks for metabolic disorders. Limited data document...

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Autores principales: Rostami Dovom, Marzieh, Ramezani Tehrani, Fahimeh, Djalalinia, Shirin, Cheraghi, Leila, Behboudi Gandavani, Samira, Azizi, Fereidoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5161370/
https://www.ncbi.nlm.nih.gov/pubmed/27992506
http://dx.doi.org/10.1371/journal.pone.0168402
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author Rostami Dovom, Marzieh
Ramezani Tehrani, Fahimeh
Djalalinia, Shirin
Cheraghi, Leila
Behboudi Gandavani, Samira
Azizi, Fereidoun
author_facet Rostami Dovom, Marzieh
Ramezani Tehrani, Fahimeh
Djalalinia, Shirin
Cheraghi, Leila
Behboudi Gandavani, Samira
Azizi, Fereidoun
author_sort Rostami Dovom, Marzieh
collection PubMed
description The regularity of menstrual cycles is considered an indicator of women’s reproductive health. Previous studies with a cross-sectional design have documented the relationship between menstrual cycle irregularities, insulin-resistance and the future risks for metabolic disorders. Limited data documented by prospective studies can lead to premature conclusions regarding the relationship between menstrual cycle irregularities and other conditions influencing women’s health. The present study therefore, using a prospective design aimed to assess the risk of metabolic disorders in women with a history of irregular menstrual cycles, was based on the data gathered from the Tehran Lipid and Glucose study (TLGS) an ongoing prospective cohort study initiated in 1999. Participants of the current study were 2128 women, aged between 18–49 years, followed for 15 years. Based on their menstrual cycles, the women were divided into two groups: (i) women with regular menstrual cycles (n = 1749), and (ii) those with irregular menstrual cycles (n = 379). The proportional COX regression model was used to compare hazard ratios (HRs) between the groups for the proposed events, including diabetes mellitus (DM), pre-diabetes (pre-DM), hypertension (HTN), pre-hypertension (pre-HTN) and dyslipidemia. It was found that during a 15-year follow up, there were 123 cases of DM, 456 cases of pre-DM, 290 cases of HTN, 481 cases of pre-HTN, and 402 cases of dyslipidemia. Compared to those with regular cycles, women with irregular menstrual cycles were found to have an increased risk for DM2 (age adjusted Hazard Ratios (HRs), 2.01; 95% confidence intervals (CI:1.59–3.50), the increased risk for DM, associated with irregular cycles remained significant after the adjustment for Body Mass Index (BMI), fasting blood sugar (FBS), family history of diabetes, and parity (HRS, 1.73; 95% CI: 1.14–2.64). There was no significant difference in the increased risk for pre-DM between the groups (age adjusted HRs, 1.33, 95% CI: 1.05–1.69). However, after the adjustment of BMI, FBS and family history of pre-DM, compared to those with regular menstrual cycles, irregular menstrual cycles showed an increased risk for pre-DM (HRs, 1.33; 95% CI: 1.05–1.69). No statistically significant difference was found in the increasing risk for other proposed events between the groups demonstrating that menstrual cycle irregularities could be considered a marker of metabolic disorders and a predisposing factor of the increased risk for diabetes mellitus and pre-diabetes in women with irregular menstrual cycles.
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spelling pubmed-51613702017-01-04 Menstrual Cycle Irregularity and Metabolic Disorders: A Population-Based Prospective Study Rostami Dovom, Marzieh Ramezani Tehrani, Fahimeh Djalalinia, Shirin Cheraghi, Leila Behboudi Gandavani, Samira Azizi, Fereidoun PLoS One Research Article The regularity of menstrual cycles is considered an indicator of women’s reproductive health. Previous studies with a cross-sectional design have documented the relationship between menstrual cycle irregularities, insulin-resistance and the future risks for metabolic disorders. Limited data documented by prospective studies can lead to premature conclusions regarding the relationship between menstrual cycle irregularities and other conditions influencing women’s health. The present study therefore, using a prospective design aimed to assess the risk of metabolic disorders in women with a history of irregular menstrual cycles, was based on the data gathered from the Tehran Lipid and Glucose study (TLGS) an ongoing prospective cohort study initiated in 1999. Participants of the current study were 2128 women, aged between 18–49 years, followed for 15 years. Based on their menstrual cycles, the women were divided into two groups: (i) women with regular menstrual cycles (n = 1749), and (ii) those with irregular menstrual cycles (n = 379). The proportional COX regression model was used to compare hazard ratios (HRs) between the groups for the proposed events, including diabetes mellitus (DM), pre-diabetes (pre-DM), hypertension (HTN), pre-hypertension (pre-HTN) and dyslipidemia. It was found that during a 15-year follow up, there were 123 cases of DM, 456 cases of pre-DM, 290 cases of HTN, 481 cases of pre-HTN, and 402 cases of dyslipidemia. Compared to those with regular cycles, women with irregular menstrual cycles were found to have an increased risk for DM2 (age adjusted Hazard Ratios (HRs), 2.01; 95% confidence intervals (CI:1.59–3.50), the increased risk for DM, associated with irregular cycles remained significant after the adjustment for Body Mass Index (BMI), fasting blood sugar (FBS), family history of diabetes, and parity (HRS, 1.73; 95% CI: 1.14–2.64). There was no significant difference in the increased risk for pre-DM between the groups (age adjusted HRs, 1.33, 95% CI: 1.05–1.69). However, after the adjustment of BMI, FBS and family history of pre-DM, compared to those with regular menstrual cycles, irregular menstrual cycles showed an increased risk for pre-DM (HRs, 1.33; 95% CI: 1.05–1.69). No statistically significant difference was found in the increasing risk for other proposed events between the groups demonstrating that menstrual cycle irregularities could be considered a marker of metabolic disorders and a predisposing factor of the increased risk for diabetes mellitus and pre-diabetes in women with irregular menstrual cycles. Public Library of Science 2016-12-16 /pmc/articles/PMC5161370/ /pubmed/27992506 http://dx.doi.org/10.1371/journal.pone.0168402 Text en © 2016 Rostami Dovom et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rostami Dovom, Marzieh
Ramezani Tehrani, Fahimeh
Djalalinia, Shirin
Cheraghi, Leila
Behboudi Gandavani, Samira
Azizi, Fereidoun
Menstrual Cycle Irregularity and Metabolic Disorders: A Population-Based Prospective Study
title Menstrual Cycle Irregularity and Metabolic Disorders: A Population-Based Prospective Study
title_full Menstrual Cycle Irregularity and Metabolic Disorders: A Population-Based Prospective Study
title_fullStr Menstrual Cycle Irregularity and Metabolic Disorders: A Population-Based Prospective Study
title_full_unstemmed Menstrual Cycle Irregularity and Metabolic Disorders: A Population-Based Prospective Study
title_short Menstrual Cycle Irregularity and Metabolic Disorders: A Population-Based Prospective Study
title_sort menstrual cycle irregularity and metabolic disorders: a population-based prospective study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5161370/
https://www.ncbi.nlm.nih.gov/pubmed/27992506
http://dx.doi.org/10.1371/journal.pone.0168402
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