Article citationsMore>>
Lin, W.Y., Lee, L.T., Chen, C.Y., Lo, H., Hsia, H.H., Liu, I.L., Lin, R.S., Shau, W.Y. and Huang, K.C. (2002) Optimal Cut-Off Values for Obesity: Using Simple Anthropometric Indices to Predict Cardiovascular Risk Factors in Taiwan. International Journal of Obesity, 26, 1232-1238.
http://dx.doi.org/10.1038/sj.ijo.0802040
has been cited by the following article:
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TITLE:
The Best Central Adiposity Index in the Prediction of Cardiovascular Risk Factors in South-Western Nigeria
AUTHORS:
Taiwo Hussean Raimi, Olufemi Fasanmade, Olatunde Odusan, Augustine Efedaye Ohwovoriole
KEYWORDS:
Central Obesity, Cardiovascular Risk Factors, Prediction
JOURNAL NAME:
Open Journal of Endocrine and Metabolic Diseases,
Vol.5 No.12,
December
24,
2015
ABSTRACT: Objective: To determine
the best index of central obesity that predicts cardiovascular risk factors
(general obesity and hypertension). Methods: A cross-sectional study involving
nine hundred and sixteen (443 males and 473 females) participants of a
community health survey in Sagamu and Remo-North Local Government Areas of Ogun
State, Nigeria. The body mass index (BMI), waist circumference (WC), waist-to-hip
ratio (WHR) and waist-to-height ratio (WHtR) of the participants were
determined by standard protocols. Pearson correlation between BMI and the three
central obesity indices was determined. The area under curve (AUC) on the ROC
was used to determine the best measure of central obesity which identified
individuals with general obesity and hypertension. Results: WHtR and WC were
better than WHR at detecting the presence of both general obesity and
hypertension in both males (WHtR vs WHR {difference in areas = 0.131} p
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