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Items: 1 to 20 of 499

1.

Utility of obesity indices in screening Chinese postmenopausal women for metabolic syndrome.

Liu P, Ma F, Lou H, Zhu Y.

Menopause. 2014 May;21(5):509-14. doi: 10.1097/GME.0b013e3182a170be.

PMID:
23963310
2.

Optimal waist circumference cutoff value for defining the metabolic syndrome in postmenopausal Latin American women.

Blümel JE, Legorreta D, Chedraui P, Ayala F, Bencosme A, Danckers L, Lange D, Espinoza MT, Gomez G, Grandia E, Izaguirre H, Manriquez V, Martino M, Navarro D, Ojeda E, Onatra W, Pozzo E, Prada M, Royer M, Saavedra JM, Sayegh F, Tserotas K, Vallejo MS, Zuñiga C; Collaborative Group for Research of the Climacteric in Latin America (REDLINC)..

Menopause. 2012 Apr;19(4):433-7. doi: 10.1097/gme.0b013e318231fc79.

PMID:
22067278
3.

Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome.

Costa EC, Sá JC, Soares EM, Lemos TM, Maranhão TM, Azevedo GD.

Gynecol Endocrinol. 2012 Jan;28(1):12-5. doi: 10.3109/09513590.2011.583956. Epub 2011 Sep 29.

PMID:
21958393
4.

The utility of fat mass index vs. body mass index and percentage of body fat in the screening of metabolic syndrome.

Liu P, Ma F, Lou H, Liu Y.

BMC Public Health. 2013 Jul 3;13:629. doi: 10.1186/1471-2458-13-629.

5.

Optimal cut-off levels of obesity indices by different definitions of metabolic syndrome in a southeast rural Chinese population.

Pan J, Wang M, Ye Z, Yu M, Shen Y, He Q, Cao N, Ning G, Bi Y, Gong W, Hu R.

J Diabetes Investig. 2016 Jul;7(4):594-600. doi: 10.1111/jdi.12440. Epub 2016 Jan 5.

6.

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
7.

Evaluation of anthropometric indices for metabolic syndrome in Chinese adults aged 40 years and over.

He YH, Chen YC, Jiang GX, Huang HE, Li R, Li XY, Ning G, Cheng Q.

Eur J Nutr. 2012 Feb;51(1):81-7. doi: 10.1007/s00394-011-0195-2. Epub 2011 Apr 11.

PMID:
21479941
8.

The discriminative ability of waist circumference, body mass index and waist-to-hip ratio in identifying metabolic syndrome: Variations by age, sex and race.

Cheong KC, Ghazali SM, Hock LK, Subenthiran S, Huey TC, Kuay LK, Mustapha FI, Yusoff AF, Mustafa AN.

Diabetes Metab Syndr. 2015 Apr-Jun;9(2):74-8. doi: 10.1016/j.dsx.2015.02.006. Epub 2015 Mar 6.

PMID:
25819369
9.

References of anthropometric indices of central obesity and metabolic syndrome in Jordanian men and women.

Al-Odat AZ, Ahmad MN, Haddad FH.

Diabetes Metab Syndr. 2012 Jan-Mar;6(1):15-21. doi: 10.1016/j.dsx.2012.05.012. Epub 2012 Jun 4.

PMID:
23014249
10.

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
11.

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.

12.

Waist circumference, body mass index and waist to hip ratio for prediction of the metabolic syndrome in Chinese.

Wang F, Wu S, Song Y, Tang X, Marshall R, Liang M, Wu Y, Qin X, Chen D, Hu Y.

Nutr Metab Cardiovasc Dis. 2009 Oct;19(8):542-7. doi: 10.1016/j.numecd.2008.11.006. Epub 2009 Feb 1.

PMID:
19188050
13.

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.

14.

Prediction of metabolic syndrome among postmenopausal Ghanaian women using obesity and atherogenic markers.

Arthur FK, Adu-Frimpong M, Osei-Yeboah J, Mensah FO, Owusu L.

Lipids Health Dis. 2012 Aug 10;11:101. doi: 10.1186/1476-511X-11-101.

15.

The metabolic syndrome among postmenopausal women in rural Canton: prevalence, associated factors, and the optimal obesity and atherogenic indices.

Liang H, Chen X, Chen Q, Wang Y, Wu X, Li Y, Pan B, Liu H, Li M.

PLoS One. 2013 Sep 9;8(9):e74121. doi: 10.1371/journal.pone.0074121. eCollection 2013.

16.

Obesity criteria for identifying metabolic risks.

Wang JW, Hu DY, Sun YH, Wang JH, Wang GL, Xie J, Zhou ZQ.

Asia Pac J Clin Nutr. 2009;18(1):105-13.

17.

The association of anthropometric indices in adolescence with the occurrence of the metabolic syndrome in early adulthood: Tehran Lipid and Glucose Study (TLGS).

Barzin M, Asghari G, Hosseinpanah F, Mirmiran P, Azizi F.

Pediatr Obes. 2013 Jun;8(3):170-7. doi: 10.1111/j.2047-6310.2012.00102.x. Epub 2012 Oct 8.

PMID:
23042576
18.

Waist-to-height ratio is an appropriate index for identifying cardiometabolic risk in Chinese individuals with normal body mass index and waist circumference.

Zhu Q, Shen F, Ye T, Zhou Q, Deng H, Gu X.

J Diabetes. 2014 Nov;6(6):527-34. doi: 10.1111/1753-0407.12157. Epub 2014 May 22.

PMID:
24698481

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