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Items: 1 to 20 of 146

1.

Anthropometric cutoff points for predicting chronic diseases in the Mexican National Health Survey 2000.

Sánchez-Castillo CP, Velázquez-Monroy O, Berber A, Lara-Esqueda A, Tapia-Conyer R, James WP; Encuesta Nacional de Salud (ENSA) 2000 Working Group..

Obes Res. 2003 Mar;11(3):442-51.

2.

Waist circumference cut-off points for identification of abdominal obesity among the tunisian adult population.

Bouguerra R, Alberti H, Smida H, Salem LB, Rayana CB, El Atti J, Achour A, Gaigi S, Slama CB, Zouari B, Alberti KG.

Diabetes Obes Metab. 2007 Nov;9(6):859-68.

PMID:
17924868
3.

Anthropometric indexes in the prediction of type 2 diabetes mellitus, hypertension and dyslipidaemia in a Mexican population.

Berber A, Gómez-Santos R, Fanghänel G, Sánchez-Reyes L.

Int J Obes Relat Metab Disord. 2001 Dec;25(12):1794-9.

PMID:
11781760
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Anthropometric predictors for the risk of chronic disease in non-diabetic, non-hypertensive young Mexican women.

Neufeld LM, Jones-Smith JC, García R, Fernald LC.

Public Health Nutr. 2008 Feb;11(2):159-67.

PMID:
17601359
7.

Race-ethnicity-specific waist circumference cutoffs for identifying cardiovascular disease risk factors.

Zhu S, Heymsfield SB, Toyoshima H, Wang Z, Pietrobelli A, Heshka S.

Am J Clin Nutr. 2005 Feb;81(2):409-15.

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Obesity in the elderly and its relationship with cardiovascular risk factors in Taiwan.

Huang KC, Lee MS, Lee SD, Chang YH, Lin YC, Tu SH, Pan WH.

Obes Res. 2005 Jan;13(1):170-8.

12.

Predicting incident diabetes in Jamaica: the role of anthropometry.

Sargeant LA, Bennett FI, Forrester TE, Cooper RS, Wilks RJ.

Obes Res. 2002 Aug;10(8):792-8.

13.

Body mass index (BMI) and waist circumference (WC) as screening tools for cardiovascular risk factors in Guadeloupean women.

Foucan L, Hanley J, Deloumeaux J, Suissa S.

J Clin Epidemiol. 2002 Oct;55(10):990-6.

PMID:
12464375
14.

Diabetes and hypertension increases in a society with abdominal obesity: results of the Mexican National Health Survey 2000.

Sánchez-Castillo CP, Velásquez-Monroy O, Lara-Esqueda A, Berber A, Sepulveda J, Tapia-Conyer R, James WP.

Public Health Nutr. 2005 Feb;8(1):53-60.

PMID:
15707539
15.

Appropriate body mass index and waist circumference cutoffs for middle and older age group in Thailand: data of 19,621 participants from Thai epidemiologic stroke (TES) study.

Samsen M, Hanchaiphiboolkul S, Puthkhao P, Tantirittisak T, Towanabut S.

J Med Assoc Thai. 2012 Sep;95(9):1156-66.

PMID:
23140032
16.

Abdominal obesity and the prevalence of diabetes and intermediate hyperglycaemia in Chinese adults.

He Y, Zhai F, Ma G, Feskens EJ, Zhang J, Fu P, Van't Veer P, Yang X.

Public Health Nutr. 2009 Aug;12(8):1078-84. doi: 10.1017/S1368980008003856.

PMID:
18986591
17.

Cutoff values for normal anthropometric variables in asian Indian adults.

Snehalatha C, Viswanathan V, Ramachandran A.

Diabetes Care. 2003 May;26(5):1380-4.

PMID:
12716792
18.

Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men.

Wang Y, Rimm EB, Stampfer MJ, Willett WC, Hu FB.

Am J Clin Nutr. 2005 Mar;81(3):555-63.

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[Evaluation on the accuracy of obese indexes in predicting obstructive sleep apnea-hypopnea syndrome in male adults].

Wang YJ, Yang Y, Liu YS, Luo YQ, Wang YN, Fu LY.

Zhonghua Liu Xing Bing Xue Za Zhi. 2007 Oct;28(10):1021-5. Chinese.

PMID:
18399154
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