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Items: 1 to 20 of 143

1.

Accuracy and adequacy of waist circumference cut-off points currently recommended in Brazilian adults.

Vianna CA, da Silva Linhares R, Bielemann RM, Machado EC, González-Chica DA, Matijasevich AM, Gigante DP, da Silva Dos Santos I.

Public Health Nutr. 2014 Apr;17(4):861-9. doi: 10.1017/S1368980013000529. Epub 2013 Mar 12.

PMID:
23481553
2.
3.

Sensitivity and specificity of waist circumference as a single screening tool for identification of overweight and obesity among Malaysian adults.

Kee CC, Jamaiyah H, Geeta A, Ali ZA, Safiza MN, Suzana S, Khor GL, Rahmah R, Jamalludin AR, Sumarni MG, Lim KH, Faudzi YA, Amal NM.

Med J Malaysia. 2011 Dec;66(5):462-7.

4.

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
5.

Optimal cut-off values of BMI, waist circumference and waist:height ratio for defining obesity in Chinese adults.

Zeng Q, He Y, Dong S, Zhao X, Chen Z, Song Z, Chang G, Yang F, Wang Y.

Br J Nutr. 2014 Nov 28;112(10):1735-44. doi: 10.1017/S0007114514002657. Epub 2014 Oct 10.

PMID:
25300318
6.

Optimal waist:height ratio cut-off point for cardiometabolic risk factors in Turkish adults.

Can AS, Yildiz EA, Samur G, Rakicioğlu N, Pekcan G, Ozbayrakçi S, Palaoğlu KE, Gönen M, Bersot TP.

Public Health Nutr. 2010 Apr;13(4):488-95. doi: 10.1017/S1368980009991637. Epub 2009 Sep 28.

PMID:
19781128
7.

Optimal waist circumference cut-off values for predicting cardiovascular risk factors in a multi-ethnic Malaysian population.

Cheong KC, Ghazali SM, Hock LK, Yusoff AF, Selvarajah S, Haniff J, Zainuddin AA, Ying CY, Lin KG, Rahman JA, Shahar S, Mustafa AN.

Obes Res Clin Pract. 2014 Mar-Apr;8(2):e154-62. doi: 10.1016/j.orcp.2013.03.004.

PMID:
24743011
8.

Body mass index, waist circumference and waist-to-hip ratio cut-off points for categorisation of obesity among Omani Arabs.

Al-Lawati JA, Jousilahti P.

Public Health Nutr. 2008 Jan;11(1):102-8. Epub 2007 Jun 18.

PMID:
17572936
9.
10.

Waist circumference cut-off values for the prediction of cardiovascular risk factors clustering in Chinese school-aged children: a cross-sectional study.

Liu A, Hills AP, Hu X, Li Y, Du L, Xu Y, Byrne NM, Ma G.

BMC Public Health. 2010 Feb 19;10:82. doi: 10.1186/1471-2458-10-82.

11.

Varying sensitivity of waist action levels to identify subjects with overweight or obesity in 19 populations of the WHO MONICA Project.

Molarius A, Seidell JC, Sans S, Tuomilehto J, Kuulasmaa K.

J Clin Epidemiol. 1999 Dec;52(12):1213-24.

PMID:
10580785
12.

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
13.

Optimal cut-off values of anthropometric markers to predict hypertension in North Indian population.

Gupta S, Kapoor S.

J Community Health. 2012 Apr;37(2):441-7. doi: 10.1007/s10900-011-9461-8.

PMID:
21858688
14.

Optimal cutoff values of waist circumference and the discriminatory performance of other anthropometric indices to detect the clustering of cardiovascular risk factors for metabolic syndrome in Japanese men and women.

Nakamura K, Nanri H, Hara M, Higaki Y, Imaizumi T, Taguchi N, Sakamoto T, Horita M, Shinchi K, Tanaka K.

Environ Health Prev Med. 2011 Jan;16(1):52-60. doi: 10.1007/s12199-010-0165-y. Epub 2010 Jul 30.

15.

Appropriate cut-off values of waist circumference to predict cardiovascular outcomes: 7-year follow-up in an Iranian population.

Talaei M, Thomas GN, Marshall T, Sadeghi M, Iranipour R, Oveisgharan S, Sarrafzadegan N.

Intern Med. 2012;51(2):139-46. Epub 2012 Jan 15.

16.

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
17.

Obesity index that better predict metabolic syndrome: body mass index, waist circumference, waist hip ratio, or waist height ratio.

Bener A, Yousafzai MT, Darwish S, Al-Hamaq AO, Nasralla EA, Abdul-Ghani M.

J Obes. 2013;2013:269038. doi: 10.1155/2013/269038. Epub 2013 Aug 13.

18.

Efficiency of anthropometric indicators of obesity for identifying cardiovascular risk factors in a Chinese population.

Dong X, Liu Y, Yang J, Sun Y, Chen L.

Postgrad Med J. 2011 Apr;87(1026):251-6. doi: 10.1136/pgmj.2010.100453. Epub 2011 Jan 27.

PMID:
21273363
19.

Minimum waist and visceral fat values for identifying Japanese Americans at risk for the metabolic syndrome.

Hayashi T, Boyko EJ, McNeely MJ, Leonetti DL, Kahn SE, Fujimoto WY.

Diabetes Care. 2007 Jan;30(1):120-7.

PMID:
17192344
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