Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 166

1.

The cutoff value of waist circumference for predicting metabolic risks in pre- and post-menopausal korean women: analysis of 2010 korean national health and nutrition examination survey data.

Lee OG, Hur YI, Kang JH, Park HA, Kim KW, Cho YG, Choi WY, Park H, Lee HA.

Korean J Fam Med. 2013 Sep;34(5):307-18. doi: 10.4082/kjfm.2013.34.5.307. Epub 2013 Sep 26.

3.

Low predictability of anthropometric indicators of obesity in metabolic syndrome (MS) risks among elderly women.

Chu FL, Hsu CH, Jeng C.

Arch Gerontol Geriatr. 2012 Nov-Dec;55(3):718-23. doi: 10.1016/j.archger.2012.02.005. Epub 2012 Mar 3.

PMID:
22390941
4.

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
5.

Optimal waist circumference for prediction of metabolic syndrome in young Korean women with polycystic ovary syndrome.

Oh JY, Sung YA, Lee HJ, Oh JY, Chung HW, Park H.

Obesity (Silver Spring). 2010 Mar;18(3):593-7. doi: 10.1038/oby.2009.297. Epub 2009 Sep 17.

6.

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.

7.

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
8.

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.

9.

Appropriate waist circumference cutoff points for central obesity in Korean adults.

Lee SY, Park HS, Kim DJ, Han JH, Kim SM, Cho GJ, Kim DY, Kwon HS, Kim SR, Lee CB, Oh SJ, Park CY, Yoo HJ.

Diabetes Res Clin Pract. 2007 Jan;75(1):72-80. Epub 2006 Jun 2.

PMID:
16735075
10.

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.

11.

Optimal waist circumference cutoff values for metabolic syndrome diagnostic criteria in a Korean rural population.

Koh JH, Koh SB, Lee MY, Jung PM, Kim BH, Shin JY, Shin YG, Ryu SY, Lee TY, Park JK, Chung CH.

J Korean Med Sci. 2010 May;25(5):734-7. doi: 10.3346/jkms.2010.25.5.734. Epub 2010 Apr 16.

12.

Is waist circumference a better predictor of diabetes than body mass index or waist-to-height ratio in Iranian adults?

Hajian-Tilaki K, Heidari B.

Int J Prev Med. 2015 Jan 15;6:5. doi: 10.4103/2008-7802.151434. eCollection 2015.

13.

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
14.

Waist circumference and waist-to-height ratio as predictors of cardiovascular disease risk in Korean adults.

Park SH, Choi SJ, Lee KS, Park HY.

Circ J. 2009 Sep;73(9):1643-50. Epub 2009 Jul 29.

15.

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
16.

LMS tables for waist circumference and waist-height ratio in Colombian adults: analysis of nationwide data 2010.

Ramírez-Vélez R, Correa-Bautista JE, Martínez-Torres J, Méneses-Echavez JF, González-Ruiz K, González-Jiménez E, Schmidt-RioValle J, Lobelo F.

Eur J Clin Nutr. 2016 Oct;70(10):1189-1196. doi: 10.1038/ejcn.2016.46. Epub 2016 Mar 30.

17.

Waist circumference cutoff points for central obesity in the Korean elderly population.

So ES, Yoo KS.

J Appl Gerontol. 2015 Feb;34(1):102-17. doi: 10.1177/0733464812464428. Epub 2012 Nov 1.

PMID:
25548090
18.

Appropriate cutoff values of anthropometric variables to predict cardiovascular outcomes: 7.6 years follow-up in an Iranian population.

Hadaegh F, Zabetian A, Sarbakhsh P, Khalili D, James WP, Azizi F.

Int J Obes (Lond). 2009 Dec;33(12):1437-45. doi: 10.1038/ijo.2009.180.

PMID:
19752876
19.

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
20.

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

Supplemental Content

Support Center