03.03.2015 Views

Food & Nutrition

Food & Nutrition

Food & Nutrition

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Arab Journal of <strong>Food</strong> & <strong>Nutrition</strong><br />

109. Study of Metabolic Syndrome in a Group of Adult Jordanians with Special<br />

Reference to Anthropometric Indices of Central Obesity:<br />

A Proposal to Use Waist to Height Ratio (2009)<br />

Areej Zaal Al – Odat\ University of Jordan<br />

Supervisor: Dr. Mousa Numan Ahmad<br />

292<br />

This study was carried out to evaluate the associations between the predictive<br />

power of several anthropometric indices of obesity, particularly body mass index<br />

(BMI), waist circumference (WC), waist to hip ratio (WHpR) and waist to height ratio<br />

(WHtR) and the risk factors accumulation as defined by the existence of two or more<br />

disorders among hypertension, dyslipedaemia as indicated by high triglycerides (TGs)<br />

and or low levels of high density lipoprotein cholesterol (HDL – C), and high fasting<br />

blood glucose (FBG); each of which is a component of metabolic syndrome (MS) in a<br />

sample of adult Jordanians living in Amman. The associations between these<br />

anthropometric indices of obesity and the individual components of MS were also<br />

evaluated. Partial correlation analysis was used to evaluate the associations between<br />

the studied variables, whereas the predictive power and the optimal cut off point of<br />

each index associated with increased risk of MS were determined by using the<br />

operating characteristic curve (ROC) analysis.<br />

In this study 500 subjects (212 men and 288 women) aged 20 – 85 years were<br />

selected from among the visitors attending several family clinics in Amman. Weight,<br />

height, BMI, WC, WHpR and WHtR were measured for the purpose of<br />

anthropometric evaluation of obesity. MS risk factors as defined by the International<br />

Diabetes Federation (IDF) were determined. These factors included: blood pressure<br />

(systolic and diastolic), FBG, TGs and HDL – C.<br />

Partial correlation coefficients (r) between WHpR and MS risk factors were the<br />

strongest among the other obesity indices, followed by WC and then WHtR. BMI<br />

exhibited very weak associations with these risk factors. WHpR correlated<br />

significantly with FBG (r = 0.027, p < 0.01), systolic blood pressure (r = 0.20, p <<br />

0.01), TGs (r = 0.24, p < 0.01) and HDL – C (r = - 0.39, p < 0.01). the respective<br />

correlation coefficients between WC or WHtR and each MS risk factors were: FBG ( r<br />

= 0.15, p < 0.001 or r = 0.13, p < 0.010), systolic blood pressure (r = 0.16, p < 0.01 or r<br />

= 0.11, p < 0.05), TGs (r = 0.20, p < 0.01 or r = 0.14, p < 0.01), and HDL – C (r = -<br />

0.25, p < 0.01 or r = -0.11, p < 0.01).<br />

Area under the curve (AUC) of ROC analysis for identifying of MS (two or<br />

more risk factors) was the highest for WHpR (AUC = 0.71), flowed byWHtR (AUC =<br />

0.67) and WC (AUC = 0.64), and then the BMi (AUC = 0.59) in men. Wherease in<br />

women WHpR, WHtR, and WC were almost equal (AUC = 0.76, 0.75, and 0.74<br />

respectively0, followed by BMI (AUC = 0.76). Optimal cut off points of BMI of BMI,<br />

WC, WHpR for MS diagnosis in men were 28.4 kg / m 2 , 97.8 cm and 0.89,<br />

respectively. In women, these were 30.3 kg / m 2 , 95.6 cm, and 0.84, respectively.<br />

Volume 291 11, No. 25, 2011

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!