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Nutritional Status and Anthropometric Indices in relation to Menstrual Disorders: A Cross-Sectional Study

PURPOSE: Dietary habit and body composition can develop risk of menstrual disorders. The objective of this study was to assess the relationship between macronutrient intake, anthropometric indices, and menstrual disorders. METHODS: This cross-sectional study was conducted on 217 women with an averag...

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Autores principales: Taheri, Reihaneh, Mesbah Ardekani, Fakhrodin, Raeisi Shahraki, Hadi, Heidarzadeh-Esfahani, Neda, Hajiahmadi, Salimeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803165/
https://www.ncbi.nlm.nih.gov/pubmed/33489364
http://dx.doi.org/10.1155/2020/5980685
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author Taheri, Reihaneh
Mesbah Ardekani, Fakhrodin
Raeisi Shahraki, Hadi
Heidarzadeh-Esfahani, Neda
Hajiahmadi, Salimeh
author_facet Taheri, Reihaneh
Mesbah Ardekani, Fakhrodin
Raeisi Shahraki, Hadi
Heidarzadeh-Esfahani, Neda
Hajiahmadi, Salimeh
author_sort Taheri, Reihaneh
collection PubMed
description PURPOSE: Dietary habit and body composition can develop risk of menstrual disorders. The objective of this study was to assess the relationship between macronutrient intake, anthropometric indices, and menstrual disorders. METHODS: This cross-sectional study was conducted on 217 women with an average age of 28.8 ± 7.9 years. Anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and skinfold thickness from all participants were measured. Menstrual cycle characteristics were self-reported. The dietary habits were assessed by using a modified, semiquantitative 147 items Food Frequency Questionnaire (FFQ) by two trained dietitians. Chi-square and independent T-test were used to assess bivariate associations and logistic regression was implemented in SPSS 21. RESULTS: Most of the participants (52.5%) suffered from at least one of the menstrual disorders including painful menstruation (41%), premenstrual syndrome (PMS) (24.9%), and irregular menstruation (22.1%). The mean of waist circumference in women with no complication was 76.0 ± 11.8 and in women with at least one disorder was 86.7 ± 14.0 (P < 0.001). Our results suggest that women with no disorder consumed less calorie, carbohydrate, protein, and fat in comparison to women with at least one disorder (P < 0.001). Furthermore, the proportion of all kinds of disorders among women, who had overweight or obesity, was significantly higher than women with normal BMI (P < 0.001). CONCLUSION: Irregular menstruation, painful menstruation, and PMS were significantly associated with high intake of calories, proteins, carbohydrates, and total fat. Furthermore, menstruation-related complications were worsened by obesity.
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spelling pubmed-78031652021-01-22 Nutritional Status and Anthropometric Indices in relation to Menstrual Disorders: A Cross-Sectional Study Taheri, Reihaneh Mesbah Ardekani, Fakhrodin Raeisi Shahraki, Hadi Heidarzadeh-Esfahani, Neda Hajiahmadi, Salimeh J Nutr Metab Research Article PURPOSE: Dietary habit and body composition can develop risk of menstrual disorders. The objective of this study was to assess the relationship between macronutrient intake, anthropometric indices, and menstrual disorders. METHODS: This cross-sectional study was conducted on 217 women with an average age of 28.8 ± 7.9 years. Anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and skinfold thickness from all participants were measured. Menstrual cycle characteristics were self-reported. The dietary habits were assessed by using a modified, semiquantitative 147 items Food Frequency Questionnaire (FFQ) by two trained dietitians. Chi-square and independent T-test were used to assess bivariate associations and logistic regression was implemented in SPSS 21. RESULTS: Most of the participants (52.5%) suffered from at least one of the menstrual disorders including painful menstruation (41%), premenstrual syndrome (PMS) (24.9%), and irregular menstruation (22.1%). The mean of waist circumference in women with no complication was 76.0 ± 11.8 and in women with at least one disorder was 86.7 ± 14.0 (P < 0.001). Our results suggest that women with no disorder consumed less calorie, carbohydrate, protein, and fat in comparison to women with at least one disorder (P < 0.001). Furthermore, the proportion of all kinds of disorders among women, who had overweight or obesity, was significantly higher than women with normal BMI (P < 0.001). CONCLUSION: Irregular menstruation, painful menstruation, and PMS were significantly associated with high intake of calories, proteins, carbohydrates, and total fat. Furthermore, menstruation-related complications were worsened by obesity. Hindawi 2020-11-23 /pmc/articles/PMC7803165/ /pubmed/33489364 http://dx.doi.org/10.1155/2020/5980685 Text en Copyright © 2020 Reihaneh Taheri et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Taheri, Reihaneh
Mesbah Ardekani, Fakhrodin
Raeisi Shahraki, Hadi
Heidarzadeh-Esfahani, Neda
Hajiahmadi, Salimeh
Nutritional Status and Anthropometric Indices in relation to Menstrual Disorders: A Cross-Sectional Study
title Nutritional Status and Anthropometric Indices in relation to Menstrual Disorders: A Cross-Sectional Study
title_full Nutritional Status and Anthropometric Indices in relation to Menstrual Disorders: A Cross-Sectional Study
title_fullStr Nutritional Status and Anthropometric Indices in relation to Menstrual Disorders: A Cross-Sectional Study
title_full_unstemmed Nutritional Status and Anthropometric Indices in relation to Menstrual Disorders: A Cross-Sectional Study
title_short Nutritional Status and Anthropometric Indices in relation to Menstrual Disorders: A Cross-Sectional Study
title_sort nutritional status and anthropometric indices in relation to menstrual disorders: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803165/
https://www.ncbi.nlm.nih.gov/pubmed/33489364
http://dx.doi.org/10.1155/2020/5980685
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