Relationship of Body Anthropometry with Cardiovascular Risk Factors in a Random Community Sample: The Phoenix Lifestyle Project

Metabolic Syndrome and Related Disorders
Yajna Duki, Datshana P Naidoo

Abstract

We studied the prevalence of metabolic syndrome (MetS) among Indians from a low-income community and evaluated the relationship between physical behavior patterns and anthropometric measures and the presence of MetS. The modified WHO STEPS questionnaire was used to collect data from a randomized sample of 1154 subjects from the Indian community of Phoenix, Durban. MetS was classified according to the harmonized criteria. The median age of the sample was 47 (37-55) years, and 72% were predominantly females. There was a high prevalence of elevated body mass index (BMI) in 757 subjects (66%), which increased to 901 subjects (82%) when the ethnic-specific Asian cutoff (BMI ≥ 23) was applied. Overall increase in waist circumferences was noted from 60% to 79% when ethnic cutoffs were applied. Vigorous exercise was associated with a significant decrease in waist and BMI measurements (P < 0.0001). The prevalence of MetS increased from 30% and 57% (NCEP) to 45% and 60% in males and females, respectively, when the harmonized criteria (IDF and WHO) were applied. Fasting insulin and total cholesterol emerged as independent determinants of MetS for both genders. Neck circumference and HbA1c were also significant predictors of MetS in males....Continue Reading

References

Mar 17, 2005·Circulation·Sidney C SmithUNKNOWN American Heart Association Obesity, Metabolic Syndrome, and Hypertension Writing Group
Sep 12, 2007·Hormone and Metabolic Research = Hormon- Und Stoffwechselforschung = Hormones Et Métabolisme·A E Schutte, A Olckers
Jul 27, 2012·South African Medical Journal = Suid-Afrikaanse Tydskrif Vir Geneeskunde·Nicolette Erasmus

❮ Previous
Next ❯

Citations

Dec 21, 2018·São Paulo Medical Journal = Revista Paulista De Medicina·João Baptista HumbwavaliBruce Bartholow Duncan

❮ Previous
Next ❯

Software Mentioned

SPSS ( Statistical Package for the Social Sciences
SAS ( Statistical Analysis System

Related Concepts

Related Feeds

Cardiovascular Disease Pathophysiology

Cardiovascular disease involves several different processes that contribute to the pathological mechanism, including hyperglycemia, inflammation, atherosclerosis, hypertension and more. Vasculature stability plays a critical role in the development of the disease. Discover the latest research on cardiovascular disease pathophysiology here.