Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mentoor, Ilze, Kruger, Maritza, Nell, Theo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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
_version_ 1783311955817136128
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
work_keys_str_mv AT mentoorilze metabolicsyndromeandbodyshapepredictdifferencesinhealthparametersinfarmworkingwomen
AT krugermaritza metabolicsyndromeandbodyshapepredictdifferencesinhealthparametersinfarmworkingwomen
AT nelltheo metabolicsyndromeandbodyshapepredictdifferencesinhealthparametersinfarmworkingwomen