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Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome
AIM: Metabolic syndrome is one of the outcomes of a sedentary lifestyle in the modern world. In this study, we want to introduce the predictors of metabolic syndrome using anthropometric indices and Bio-Electrical Impedance Analysis (BIA) test values. METHOD: This cross-sectional study was performed...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275900/ https://www.ncbi.nlm.nih.gov/pubmed/34277496 http://dx.doi.org/10.1007/s40200-021-00836-w |
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author | Pouragha, Hamidreza Amiri, Mehdi Saraei, Maryam Pouryaghoub, Gholamreza Mehrdad, Ramin |
author_facet | Pouragha, Hamidreza Amiri, Mehdi Saraei, Maryam Pouryaghoub, Gholamreza Mehrdad, Ramin |
author_sort | Pouragha, Hamidreza |
collection | PubMed |
description | AIM: Metabolic syndrome is one of the outcomes of a sedentary lifestyle in the modern world. In this study, we want to introduce the predictors of metabolic syndrome using anthropometric indices and Bio-Electrical Impedance Analysis (BIA) test values. METHOD: This cross-sectional study was performed on 2284 employees of Tehran University of Medical Sciences in different job categories. Metabolic syndrome was determined according to IDF criteria. Anthropometric dimensions, para-clinical tests, basic information were collected from the participants. Also, the body analysis of the participants was performed using a BIA method. RESULT: The prevalence of metabolic syndrome in this study was 23.2% based on IDF criteria, which was 21% and 26.6% in men and women, respectively. The most important factor among the components of IDF criteria was HDL deficiency. In this study, neck circumference, fat mass, visceral fat, muscle mass percentage and waist to height ratio were observed as predictors of metabolic syndrome. CONCLUSION: This study realized that there is association between fat mass, fat-free mass, visceral fat and muscle mass which all are some elements of body composition analysis and metabolic syndrome as a major health issue. |
format | Online Article Text |
id | pubmed-8275900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82759002021-07-14 Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome Pouragha, Hamidreza Amiri, Mehdi Saraei, Maryam Pouryaghoub, Gholamreza Mehrdad, Ramin J Diabetes Metab Disord Research Article AIM: Metabolic syndrome is one of the outcomes of a sedentary lifestyle in the modern world. In this study, we want to introduce the predictors of metabolic syndrome using anthropometric indices and Bio-Electrical Impedance Analysis (BIA) test values. METHOD: This cross-sectional study was performed on 2284 employees of Tehran University of Medical Sciences in different job categories. Metabolic syndrome was determined according to IDF criteria. Anthropometric dimensions, para-clinical tests, basic information were collected from the participants. Also, the body analysis of the participants was performed using a BIA method. RESULT: The prevalence of metabolic syndrome in this study was 23.2% based on IDF criteria, which was 21% and 26.6% in men and women, respectively. The most important factor among the components of IDF criteria was HDL deficiency. In this study, neck circumference, fat mass, visceral fat, muscle mass percentage and waist to height ratio were observed as predictors of metabolic syndrome. CONCLUSION: This study realized that there is association between fat mass, fat-free mass, visceral fat and muscle mass which all are some elements of body composition analysis and metabolic syndrome as a major health issue. Springer International Publishing 2021-07-13 /pmc/articles/PMC8275900/ /pubmed/34277496 http://dx.doi.org/10.1007/s40200-021-00836-w Text en © Springer Nature Switzerland AG 2021 |
spellingShingle | Research Article Pouragha, Hamidreza Amiri, Mehdi Saraei, Maryam Pouryaghoub, Gholamreza Mehrdad, Ramin Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome |
title | Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome |
title_full | Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome |
title_fullStr | Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome |
title_full_unstemmed | Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome |
title_short | Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome |
title_sort | body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275900/ https://www.ncbi.nlm.nih.gov/pubmed/34277496 http://dx.doi.org/10.1007/s40200-021-00836-w |
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