Obesity Indices to Use for Identifying Metabolic Syndrome among Rural Adults in South Africa

Obesity Indices to Use for Identifying Metabolic Syndrome among Rural Adults in South Africa

Metabolic syndrome (MetS) is a cluster of metabolic conditions that aggravate the likelihood of cardiovascular diseases and type 2 diabetes mellitus. This study was aimed to identify the best obesity index to determine MetS. This was a cross-sectional study and part of Ellisras Longitudinal Study wh...

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Bibliographic Details
Published in:International journal of environmental research and public health Vol. 17; no. 22; p. 8321
Main Authors: Seloka, Mohlago A, Matshipi, Moloko, Mphekgwana, Peter M, Monyeki, Kotsedi D
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 11-11-2020
MDPI
Subjects:
Adult
Adults
Blood pressure
Body mass
Body Mass Index
Body size
Cardiovascular diseases
Cholesterol
Correlation analysis
Cross-Sectional Studies
Diabetes
Diabetes mellitus
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - etiology
Factor analysis
Female
Females
Glucose
Humans
Hypertension
Lipoproteins
Longitudinal Studies
Male
Males
Metabolic disorders
Metabolic syndrome
Metabolic Syndrome - diagnosis
Metabolic Syndrome - epidemiology
Metabolic Syndrome - etiology
Obesity
Obesity - complications
Obesity - diagnosis
Obesity - epidemiology
Population
Risk Factors
Rural areas
Sample size
South Africa - epidemiology
Triglycerides
Waist Circumference
Young Adult
South Africa
United States > US
confirmatory factor analysis
waist to height ratio
waist circumference
neck circumference
body mass index
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Summary:Metabolic syndrome (MetS) is a cluster of metabolic conditions that aggravate the likelihood of cardiovascular diseases and type 2 diabetes mellitus. This study was aimed to identify the best obesity index to determine MetS. This was a cross-sectional study and part of Ellisras Longitudinal Study where 593 (289 males and 304 females) adults aged 22-30 years took part. Confirmatory factor analysis was used to test the single-factor models of MetS defined by mid arterial pressure, fasting blood glucose, triglycerides and commonly selected obesity indices such as Neck circumference (NC), Body mass index (BMI), Waist circumference (WC) and Waist to height ratio (WHtR) as indicators of MetS. It was found that a single model fit built based on WC and WHtR suggested a better fit index than NC and BMI in males, whereas, a model built on NC obtained a better fit index for females than other factor models. In conclusion, the result of the present study suggests that in rural Ellisras adult's, WC and WHtR are the best obesity indices for determining MetS in males and NC in females than other indices. Hence, longitudinal studies are recommended to allow causality to be drawn between obesity indices and MetS.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph17228321