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Items: 1 to 20 of 733

1.

Independent and opposite associations of waist and hip circumferences with diabetes, hypertension and dyslipidemia: the AusDiab Study.

Snijder MB, Zimmet PZ, Visser M, Dekker JM, Seidell JC, Shaw JE.

Int J Obes Relat Metab Disord. 2004 Mar;28(3):402-9.

PMID:
14724659
2.

Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes: the Hoorn Study.

Snijder MB, Dekker JM, Visser M, Bouter LM, Stehouwer CD, Kostense PJ, Yudkin JS, Heine RJ, Nijpels G, Seidell JC.

Am J Clin Nutr. 2003 May;77(5):1192-7.

3.

Larger hip circumference independently contributed to reduced metabolic risks in Tehranian adult women.

Esmaillzadeh A, Mirmiran P, Moeini SH, Azizi F.

Int J Cardiol. 2006 Apr 14;108(3):338-45. Epub 2005 Jun 15.

PMID:
15963581
4.
5.

The prevalence of metabolic syndrome in Chinese postmenopausal women and the optimum body composition indices to predict it.

Ruan X, Jin J, Hua L, Liu Y, Wang J, Liu S.

Menopause. 2010 May-Jun;17(3):566-70. doi: 10.1097/gme.0b013e3181c8f4e1.

PMID:
20054286
6.

Larger thigh and hip circumferences are associated with better glucose tolerance: the Hoorn study.

Snijder MB, Dekker JM, Visser M, Yudkin JS, Stehouwer CD, Bouter LM, Heine RJ, Nijpels G, Seidell JC.

Obes Res. 2003 Jan;11(1):104-11.

7.

Waist circumference, waist-hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults.

Dalton M, Cameron AJ, Zimmet PZ, Shaw JE, Jolley D, Dunstan DW, Welborn TA; AusDiab Steering Committee..

J Intern Med. 2003 Dec;254(6):555-63.

8.

Younger age of escalation of cardiovascular risk factors in Asian Indian subjects.

Gupta R, Misra A, Vikram NK, Kondal D, Gupta SS, Agrawal A, Pandey RM.

BMC Cardiovasc Disord. 2009 Jul 5;9:28. doi: 10.1186/1471-2261-9-28.

9.
10.

Heterogeneity of body mass index, waist circumference, and waist-to-hip ratio in predicting obesity-related metabolic disorders for Taiwanese aged 35-64 y.

Chen CC, Wang WS, Chang HY, Liu JS, Chen YJ.

Clin Nutr. 2009 Oct;28(5):543-8. doi: 10.1016/j.clnu.2009.04.017. Epub 2009 May 27.

PMID:
19473734
11.
12.

Prevalence of metabolic syndrome in the Mediterranean region of Turkey: evaluation of hypertension, diabetes mellitus, obesity, and dyslipidemia.

Gündogan K, Bayram F, Capak M, Tanriverdi F, Karaman A, Ozturk A, Altunbas H, Gökce C, Kalkan A, Yazici C.

Metab Syndr Relat Disord. 2009 Oct;7(5):427-34. doi: 10.1089/met.2008.0068.

PMID:
19754305
13.

Health and mortality consequences of abdominal obesity: evidence from the AusDiab study.

Cameron AJ, Dunstan DW, Owen N, Zimmet PZ, Barr EL, Tonkin AM, Magliano DJ, Murray SG, Welborn TA, Shaw JE.

Med J Aust. 2009 Aug 17;191(4):202-8.

PMID:
19705980
14.
15.
16.

Persistent high prevalence of cardiovascular risk factors in the urban middle class in India: Jaipur Heart Watch-5.

Gupta R, Sharma KK, Gupta A, Agrawal A, Mohan I, Gupta VP, Khedar RS, Guptha S.

J Assoc Physicians India. 2012 Mar;60:11-6.

PMID:
22799108
17.

Sagittal abdominal diameter: no advantage compared with other anthropometric measures as a correlate of components of the metabolic syndrome in elderly from the Hoorn Study.

Mukuddem-Petersen J, Snijder MB, van Dam RM, Dekker JM, Bouter LM, Stehouwer CD, Heine RJ, Nijpels G, Seidell JC.

Am J Clin Nutr. 2006 Nov;84(5):995-1002.

18.

Waist-to-height ratio is a better obesity index than body mass index and waist-to-hip ratio for predicting diabetes, hypertension and lipidemia.

Sayeed MA, Mahtab H, Latif ZA, Khanam PA, Ahsan KA, Banu A, Azad Khan AK.

Bangladesh Med Res Counc Bull. 2003 Apr;29(1):1-10.

PMID:
14674615
19.

Prevalence of metabolic syndrome among Filipino adults aged 20 years and over.

Tanchoco CC, Cruz AJ, Duante CA, Litonjua AD.

Asia Pac J Clin Nutr. 2003;12(3):271-6.

20.

Application of three-dimensional body scanner: observation of prevalence of metabolic syndrome.

Lin JD, Chiou WK, Weng HF, Fang JT, Liu TH.

Clin Nutr. 2004 Dec;23(6):1313-23.

PMID:
15556253

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