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Metabolic syndrome and body shape predict differences in health parameters in farm working women

dc.contributor.authorMentoor, Ilzeen_ZA
dc.contributor.authorKruger, Maritzaen_ZA
dc.contributor.authorNell, Theoen_ZA
dc.date.accessioned2018-04-09T05:40:38Z
dc.date.available2018-04-09T05:40:38Z
dc.date.issued2018-04-04
dc.identifier.citationMentoor, I., Kruger, M. & Nell, T. 2018. Metabolic syndrome and body shape predict differences in health parameters in farm working women. BMC Public Health, 18:453, doi:10.1186/s12889-018-5378-9
dc.identifier.issn1471-2458 (online)
dc.identifier.otherdoi:10.1186/s12889-018-5378-9
dc.identifier.urihttp://hdl.handle.net/10019.1/103251
dc.descriptionCITATION: Mentoor, I., Kruger, M. & Nell, T. 2018. Metabolic syndrome and body shape predict differences in health parameters in farm working women. BMC Public Health, 18:453, doi:10.1186/s12889-018-5378-9.
dc.descriptionThe original publication is available at http://bmcpublichealth.biomedcentral.com
dc.descriptionPublication of this article was funded by the Stellenbosch University Open Access Fund.
dc.description.abstractBackground: 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.
dc.description.sponsorshipCancer Association of South Africa (CANSA)
dc.description.sponsorshipNational Research Foundation (NRF) of South Africa
dc.description.urihttps://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-018-5378-9
dc.format.extent11 pages
dc.language.isoen_ZA
dc.publisherBioMed Central
dc.subjectMetabolic syndromeen_ZA
dc.subjectBody compositionen_ZA
dc.subjectAgricultural laborers -- South Africa -- Western Capeen_ZA
dc.titleMetabolic syndrome and body shape predict differences in health parameters in farm working womenen_ZA
dc.typeArticleen_ZA
dc.date.updated2018-04-08T03:26:22Z
dc.description.versionPublisher's version
dc.rights.holderAuthors retain copyright


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