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Items: 1 to 20 of 91

1.
2.

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
3.

Performance of abdominal bioelectrical impedance analysis and comparison with other known parameters in predicting the metabolic syndrome.

Mousa U, Kut A, Bozkus Y, Cicek Demir C, Anil C, Bascil Tutuncu N.

Exp Clin Endocrinol Diabetes. 2013 Jul;121(7):391-6. doi: 10.1055/s-0033-1341473. Epub 2013 May 21.

PMID:
23696479
4.

Performance of bioelectrical impedance analysis in the diagnosis of metabolic syndrome.

Ozhan H, Alemdar R, Caglar O, Ordu S, Kaya A, Albayrak S, Turker Y, Bulur S; MELEN Investigators..

J Investig Med. 2012 Mar;60(3):587-91. doi: 10.2310/JIM.0b013e318244e2d9.

PMID:
22257993
5.

Reassessment of the cutoff values of waist circumference and visceral fat area for identifying Japanese subjects at risk for the metabolic syndrome.

Oka R, Kobayashi J, Yagi K, Tanii H, Miyamoto S, Asano A, Hagishita T, Mori M, Moriuchi T, Kobayashi M, Katsuda S, Kawashiri MA, Nohara A, Takeda Y, Mabuchi H, Yamagishi M.

Diabetes Res Clin Pract. 2008 Mar;79(3):474-81. Epub 2007 Nov 26.

PMID:
18031862
6.

The estimation of visceral adipose tissue with a body composition monitor predicts the metabolic syndrome.

Baudrand R, Domínguez JM, Tabilo C, Figueroa D, Jimenez M, Eugenin C, Carvajal C, Moreno M.

J Hum Nutr Diet. 2013 Jul;26 Suppl 1:154-8. doi: 10.1111/jhn.12089. Epub 2013 May 2.

PMID:
23634931
7.

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.

8.

Cut-off value of body fat in association with metabolic syndrome in Thai peri- and postmenopausal women.

Bintvihok W, Chaikittisilpa S, Panyakamlerd K, Jaisamrarn U, Taechakraichana N.

Climacteric. 2013 Jun;16(3):393-7. doi: 10.3109/13697137.2012.762762. Epub 2013 Feb 1.

PMID:
23320744
9.

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
10.

Impact of different metabolic syndrome classifications on the metabolic syndrome prevalence in a young Middle Eastern population.

Chedid R, Gannagé-Yared MH, Khalifé S, Halaby G, Zoghbi F.

Metabolism. 2009 Jun;58(6):746-52. doi: 10.1016/j.metabol.2008.11.014.

PMID:
19446111
11.

The cutoff values of visceral fat area and waist circumference for identifying subjects at risk for metabolic syndrome in elderly Korean: Ansan Geriatric (AGE) cohort study.

Seo JA, Kim BG, Cho H, Kim HS, Park J, Baik SH, Choi DS, Park MH, Jo SA, Koh YH, Han C, Kim NH.

BMC Public Health. 2009 Dec 2;9:443. doi: 10.1186/1471-2458-9-443.

12.

Optimal cut points of waist circumference (WC) and visceral fat area (VFA) predicting for metabolic syndrome (MetS) in elderly population in the Korean Longitudinal Study on Health and Aging (KLoSHA).

Lim S, Kim JH, Yoon JW, Kang SM, Choi SH, Park YJ, Kim KW, Cho NH, Shin H, Park KS, Jang HC.

Arch Gerontol Geriatr. 2012 Mar-Apr;54(2):e29-34. doi: 10.1016/j.archger.2011.07.013. Epub 2011 Sep 8.

PMID:
21862146
13.

Absolute value of bioelectrical impedance analysis-measured visceral fat area with obesity-related cardiovascular risk factors in Japanese workers.

Okauchi Y, Kishida K, Funahashi T, Noguchi M, Ogawa T, Ryo M, Okita K, Iwahashi H, Imagawa A, Nakamura T, Matsuzawa Y, Shimomura I.

J Atheroscler Thromb. 2010 Dec 26;17(12):1237-45. Epub 2010 Sep 7.

14.

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
15.

Age and sex influence the relationship between waist circumference and abdominal fat distribution measured by bioelectrical impedance.

Mateo-Gallego R, Bea AM, Jarauta E, Perez-Ruiz MR, Civeira F.

Nutr Res. 2012 Jun;32(6):466-9. doi: 10.1016/j.nutres.2012.05.004. Epub 2012 Jun 21.

PMID:
22749183
16.

Optimal cutoff point of waist circumference and use of home blood pressure as a definition of metabolic syndrome: the Ohasama study.

Sato A, Asayama K, Ohkubo T, Kikuya M, Obara T, Metoki H, Inoue R, Hara A, Hoshi H, Hashimoto J, Totsune K, Satoh H, Oka Y, Imai Y.

Am J Hypertens. 2008 May;21(5):514-20. doi: 10.1038/ajh.2007.88. Epub 2008 Mar 6.

PMID:
18437142
17.

Statistical reassessment of the association between waist circumference and clustering metabolic abnormalities in Japanese population.

Takahara M, Katakami N, Kaneto H, Noguchi M, Shimomura I.

J Atheroscler Thromb. 2012;19(8):767-78. Epub 2012 May 17.

18.

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
19.

Epicardial adipose tissue and metabolic syndrome in hypertensive patients with normal body weight and waist circumference.

Pierdomenico SD, Pierdomenico AM, Neri M, Cuccurullo F.

Am J Hypertens. 2011 Nov;24(11):1245-9. doi: 10.1038/ajh.2011.134. Epub 2011 Aug 4.

PMID:
21814292
20.

Metabolic syndrome and anthropometric factors in Japanese patients with chronic kidney disease.

Sawara Y, Takei T, Uchida K, Tsuchiya K, Nitta K.

Heart Vessels. 2009 May;24(3):199-203. doi: 10.1007/s00380-008-1107-0. Epub 2009 May 24.

PMID:
19466521

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