dc.contributor.advisor | Thyfault, John P. | eng |
dc.contributor.advisor | Thomas, Tom R. | eng |
dc.contributor.author | Bollinger, Lance | eng |
dc.date.issued | 2008 | eng |
dc.date.submitted | 2008 Fall | eng |
dc.description | The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. | eng |
dc.description | Title from PDF of title page (University of Missouri--Columbia, viewed on September 16, 2009). | eng |
dc.description | Thesis advisor: Dr. John Thyfault, Dr. Tom Thomas. | eng |
dc.description | M.A. University of Missouri--Columbia 2008. | eng |
dc.description.abstract | Metabolic syndrome (MetS) is a significant risk factor for cardiovascular disease, type 2 diabetes, and mortality. Currently, there is no established tool to quantify severity of MetS. Furthermore, it is unclear which trait(s) contribute the most to MetS presence. PURPOSE: The aims of the current study were to establish a scoring system for assessing presence and severity (number of traits) of MetS and to determine the most influential contributor to the incidence of MetS. METHODS: Overweight and sedentary adults (N=208) were obtained from previous exercise intervention studies. Measurement were obtained for the following traits: waist circumference (WC), fasting glucose (FG), high density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), triglycerides (TG), body mass index (BMI), C-reactive protein (CRP), tumor necrosis factor [alpha] (TNF[alpha]), percent body fat (% fat) and aerobic capacity (VO[subscript 2]max). Two MetS scoring systems were formulated: one including all five current NCEP ATP III MetS criteria (5score) and one including all 10 variables (10score). RESULTS: Both 5score (r[superscript 2]=0.74) and 10score (r[superscript 2]=0.23) were significant predictors of MetS severity (both p [less than] 0.0001). Traits contributed to MetS in the following order: for women, HDL-C [greater than] [greater than] FG [greater than] TG [greater than] SBP [greater than] WC, for men, TG [greater than] FG [greater than] WC [greater than] SBP [greater than] HDL-C, and combined TG [greater than] FG [greater than] HDL-C [greater than] SBP [greater than] WC. CONCLUSIONS: 5score and 10score are significant predictors of MetS presence and severity. MetS traits behave differently between genders. HDL-C is the most influential contributor to incident MetS in women, whereas TG is the most influential factor in men and combined genders. | eng |
dc.description.bibref | Includes bibliographical references. | eng |
dc.identifier.merlin | b70800741 | eng |
dc.identifier.oclc | 436872745 | eng |
dc.identifier.uri | https://doi.org/10.32469/10355/5621 | eng |
dc.identifier.uri | https://hdl.handle.net/10355/5621 | |
dc.language | English | eng |
dc.publisher | University of Missouri--Columbia | eng |
dc.relation.ispartofcommunity | University of Missouri--Columbia. Graduate School. Theses and Dissertations | eng |
dc.rights | OpenAccess. | eng |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. | |
dc.subject.lcsh | Metabolic syndrome | eng |
dc.title | A proposed scoring system for quantification of metabolic syndrome severity | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Exercise physiology (MU) | eng |
thesis.degree.grantor | University of Missouri--Columbia | eng |
thesis.degree.level | Masters | eng |
thesis.degree.name | M.A. | eng |