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Metabolic syndrome and body shape predict differences in health parameters in farm working women
BACKGROUND: Sufficient evidence associate body shape to detrimental lifestyle diseases including the metabolic syndrome (MetS). The prevalence of the MetS, as well as effects of the MetS and body shape on body composition, insulin-like growth factor-1 (IGF-1), C-reactive protein (CRP) and sex hormon...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5885298/ https://www.ncbi.nlm.nih.gov/pubmed/29618342 http://dx.doi.org/10.1186/s12889-018-5378-9 |
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author | Mentoor, Ilze Kruger, Maritza Nell, Theo |
author_facet | Mentoor, Ilze Kruger, Maritza Nell, Theo |
author_sort | Mentoor, Ilze |
collection | PubMed |
description | BACKGROUND: Sufficient evidence associate body shape to detrimental lifestyle diseases including the metabolic syndrome (MetS). The prevalence of the MetS, as well as effects of the MetS and body shape on body composition, insulin-like growth factor-1 (IGF-1), C-reactive protein (CRP) and sex hormone parameters were investigated in a female farm worker population in the Western Cape. METHODS: Women between the ages of 20–60 years were classified according to the International Diabetes Federation’s definition of the MetS. Assessments included body shape (android/gynoid), blood pressure, anthropometric, bioelectrical impedance analyses and blood analyses for fasting glucose and insulin, lipid profile, IGF-1, CRP, and sex hormone parameters. RESULTS: The prevalence of the MetS was 52%, with abdominal obesity 68.8%, hypertension 66.4% and low high density lipoprotein-cholesterol (HDL-c) levels (64.1%) being the more prevalent MetS risk factors. The MetS, irrespective of body shape, was found to be associated with body mass index (p < 0.01), fat mass (%) (p < 0.01), waist circumference (p < 0.001), HDL-c (p < 0.001), systolic blood pressure (p < 0.05) and diastolic blood pressure (p < 0.01). No significant differences were observed for IGF-1, CRP and sex hormone parameters. CONCLUSION: The prevalence of the MetS and its individual risk factors were found to be significantly high in this female farm worker population. Additionally, the study showed that the MetS, body shape and/or both could predict differences in body composition, physiological and biochemical parameters in women. |
format | Online Article Text |
id | pubmed-5885298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58852982018-04-09 Metabolic syndrome and body shape predict differences in health parameters in farm working women Mentoor, Ilze Kruger, Maritza Nell, Theo BMC Public Health Research Article BACKGROUND: Sufficient evidence associate body shape to detrimental lifestyle diseases including the metabolic syndrome (MetS). The prevalence of the MetS, as well as effects of the MetS and body shape on body composition, insulin-like growth factor-1 (IGF-1), C-reactive protein (CRP) and sex hormone parameters were investigated in a female farm worker population in the Western Cape. METHODS: Women between the ages of 20–60 years were classified according to the International Diabetes Federation’s definition of the MetS. Assessments included body shape (android/gynoid), blood pressure, anthropometric, bioelectrical impedance analyses and blood analyses for fasting glucose and insulin, lipid profile, IGF-1, CRP, and sex hormone parameters. RESULTS: The prevalence of the MetS was 52%, with abdominal obesity 68.8%, hypertension 66.4% and low high density lipoprotein-cholesterol (HDL-c) levels (64.1%) being the more prevalent MetS risk factors. The MetS, irrespective of body shape, was found to be associated with body mass index (p < 0.01), fat mass (%) (p < 0.01), waist circumference (p < 0.001), HDL-c (p < 0.001), systolic blood pressure (p < 0.05) and diastolic blood pressure (p < 0.01). No significant differences were observed for IGF-1, CRP and sex hormone parameters. CONCLUSION: The prevalence of the MetS and its individual risk factors were found to be significantly high in this female farm worker population. Additionally, the study showed that the MetS, body shape and/or both could predict differences in body composition, physiological and biochemical parameters in women. BioMed Central 2018-04-04 /pmc/articles/PMC5885298/ /pubmed/29618342 http://dx.doi.org/10.1186/s12889-018-5378-9 Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Mentoor, Ilze Kruger, Maritza Nell, Theo Metabolic syndrome and body shape predict differences in health parameters in farm working women |
title | Metabolic syndrome and body shape predict differences in health parameters in farm working women |
title_full | Metabolic syndrome and body shape predict differences in health parameters in farm working women |
title_fullStr | Metabolic syndrome and body shape predict differences in health parameters in farm working women |
title_full_unstemmed | Metabolic syndrome and body shape predict differences in health parameters in farm working women |
title_short | Metabolic syndrome and body shape predict differences in health parameters in farm working women |
title_sort | metabolic syndrome and body shape predict differences in health parameters in farm working women |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5885298/ https://www.ncbi.nlm.nih.gov/pubmed/29618342 http://dx.doi.org/10.1186/s12889-018-5378-9 |
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