Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/75671
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Type: Journal article
Title: Prevalence and Interrelationships between Cardio-Metabolic Risk Factors in Abdominally Obese Individuals
Author: Pettman, T.
Buckley, J.
Coates, A.
Misan, G.
Petkov, J.
Howe, P.
Citation: Metabolic Syndrome and Related Disorders, 2009; 7(1):31-36
Publisher: Mary Ann Liebert, Inc. Publishers
Issue Date: 2009
ISSN: 1540-4196
1557-8518
Statement of
Responsibility: 
Tahna L. Pettman, Jonathan D. Buckley, Alison M. Coates, Gary M.H. Misan, John Petkov and Peter R.C. Howe
Abstract: OBJECTIVES: The aim of this study was to examine the prevalence of metabolic syndrome and identify relationships between clustering and severity of cardio-metabolic risk factors in abdominally obese adults. METHODS: Cardio-metabolic risk factors were assessed in a sample of 300 abdominally obese volunteers (233 females, 67 males, mean age 43.7 years) who were not being treated for diabetes, hypertension or dyslipidemia. Waist circumference (WC), blood pressure, fasting lipids, and glucose were measured and prevalence of metabolic syndrome was determined according to International Diabetes Federation (IDF) criteria. Correlation analysis and Poisson regression were used to examine associations between the presence of a particular risk factor and the propensity for clustering and derangement of other risk factors, using continuous data for risk factors and categorical data for number of metabolic syndrome components. RESULTS: In all, 53% had metabolic syndrome and only 16% were free of cardio-metabolic abnormalities. In order of importance, diastolic blood pressure (DBP), high-density lipoprotein cholesterol (HDL), and triglycerides (TGs) were most strongly associated with greater clustering of risk factors, with a one standard deviation difference being associated with a respective difference of 9.65, 1.23, and 0.12 in the number of risk factors present. A greater number of risk factors was associated with an increased derangement for any given risk factor, with this effect being greatest for dyslipidemia, as represented by the TG:HDL ratio. DISCUSSION: In abdominally obese individuals, DBP was strongly associated with metabolic syndome component clustering, which may reflect the pathogenic progression of metabolic syndrome, as DBP is likely to be elevated following establishment of other risk factors. Also, dyslipidemia was strongly related to the magnitude of derangement of cardio-metabolic risk factors which may indicate that increases in dyslipidemia may drive the pathogenic progression of metabolic syndrome once acquired.
Keywords: Humans; Hypertension; Hyperglycemia; Blood Glucose; Lipids; Prevalence; Cluster Analysis; Logistic Models; Odds Ratio; Risk Assessment; Risk Factors; Poisson Distribution; Blood Pressure; Adult; South Australia; Female; Male; Dyslipidemias; Waist Circumference; Obesity, Abdominal; Metabolic Syndrome
Rights: © Mary Ann Liebert, Inc.
RMID: 0020119604
DOI: 10.1089/met.2008.0047
Appears in Collections:Public Health publications

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