Determination of Boundary Values of Body Mass Index (BMI) for Cardiometabolic Risk Using Waist-To-Height Ratio (WHTR) for a Cross-Section of Adult Nigerian Population in Jos, Nigeria
作者： K K Dakok , Chagok N.M.D. , Sirisena U.A.I. , S D Pam , G T Go’ar
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摘要: The measurements of body mass and height to determine the Body Mass Index (BMI) in order classify individuals whether they are normal, pre-obese or obese may not be sufficient as a primary screening tool for Cardio-metabolic risk assessment. However, it has been established that Waist-to-Height Ratio (WHtR) will greater advantage over BMI such assessments. It is widely assumed mostly who at diseases based on classification. But this true some placed normal category found WHtR values which than 0.5.Hence there need boundary value using WHtR. This study concludes cross-section 200 (both male female) adult Nigerian population ages 20-67 years Jos, Nigeria, 24.45 Kg/m 2 . was also males higher their female counterparts population. And these fall within (18.50 – 24.99 ) BMI, suggesting can diseases, addition categories classification Keywords: Index, Ratio, risk, value.
iiste.org参考文章(10)
Ian Janssen, Mark S Tremblay, Margot Shields, Sarah Connor Gorber, Abdominal obesity and cardiovascular disease risk factors within body mass index categories. Health Reports. ,vol. 23, pp. 7- 15 ,(2012)
Margaret Ashwell, Shiun Dong Hsieh, Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. International Journal of Food Sciences and Nutrition. ,vol. 56, pp. 303- 307 ,(2005) , 10.1080/09637480500195066
Rakesh M. Parikh, Shashank R. Joshi, Kirti Pandia, Index of central obesity is better than waist circumference in defining metabolic syndrome. Metabolic Syndrome and Related Disorders. ,vol. 7, pp. 525- 527 ,(2009) , 10.1089/MET.2008.0102
Crystal Man Ying Lee, Rachel R. Huxley, Rachel P. Wildman, Mark Woodward, Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis Journal of Clinical Epidemiology. ,vol. 61, pp. 646- 653 ,(2008) , 10.1016/J.JCLINEPI.2007.08.012
M. Ashwell, T. J Cole, A. K Dixon, Ratio of waist circumference to height is strong predictor of intra-abdominal fat BMJ. ,vol. 313, pp. 559- 560 ,(1996) , 10.1136/BMJ.313.7056.559D
Margaret Ashwell, Sigrid Gibson, A proposal for a primary screening tool: `Keep your waist circumference to less than half your height’ BMC Medicine. ,vol. 12, pp. 207- 207 ,(2014) , 10.1186/S12916-014-0207-1
Louis J. Aronne, Kathy K. Isoldi, Overweight and obesity: Key components of cardiometabolic risk Clinical Cornerstone. ,vol. 8, pp. 29- 37 ,(2007) , 10.1016/S1098-3597(07)80026-3
Lucy M. Browning, Shiun Dong Hsieh, Margaret Ashwell, A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0·5 could be a suitable global boundary value Nutrition Research Reviews. ,vol. 23, pp. 247- 269 ,(2010) , 10.1017/S0954422410000144
R Uauy, Y. Matsuzawa, P. Chitson, P.Z. Zimmet, J. O. Hill, George A Bray, E. Jéquier, J. Seidell, T. Atinmo, W. H. Dietz, A. V. Astrup, K. Moosa, C. Komodiki, M.I. Noor, D. S. Akram, J. L. Boissin, C. Chunming, V. Tanphaichitr, W. F. Mollentze, K. Carroll, K.S. Reddy, Obesity : Preventing and managing the global epidemic World Health Organization Technical Report Series. ,(2000)
A Roberto Frisancho, None, Physical Status: The Use and Interpretation of Anthropometry The American Journal of Clinical Nutrition. ,vol. 64, pp. 830- 830 ,(1996) , 10.1093/AJCN/64.5.830