1479 related articles for article (PubMed ID: 20054286)
1. 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; 17(3):566-70. PubMed ID: 20054286
[TBL] [Abstract][Full Text] [Related]
2. Metabolic syndrome and its associated risk factors in Brazilian postmenopausal women.
Petri Nahas EA; Padoani NP; Nahas-Neto J; Orsatti FL; Tardivo AP; Dias R
Climacteric; 2009 Oct; 12(5):431-8. PubMed ID: 19415539
[TBL] [Abstract][Full Text] [Related]
3. 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;
Menopause; 2012 Apr; 19(4):433-7. PubMed ID: 22067278
[TBL] [Abstract][Full Text] [Related]
4. 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. PubMed ID: 19329403
[TBL] [Abstract][Full Text] [Related]
5. A comparative evaluation of waist circumference, waist-to-hip ratio, waist-to-height ratio and body mass index as indicators of impaired glucose tolerance and as risk factors for type-2 diabetes mellitus.
Łopatyński J; Mardarowicz G; Szcześniak G
Ann Univ Mariae Curie Sklodowska Med; 2003; 58(1):413-9. PubMed ID: 15315025
[TBL] [Abstract][Full Text] [Related]
6. 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. PubMed ID: 14505989
[TBL] [Abstract][Full Text] [Related]
7. Analysis of obesity and hyperinsulinemia in the development of metabolic syndrome: San Antonio Heart Study.
Han TS; Williams K; Sattar N; Hunt KJ; Lean ME; Haffner SM
Obes Res; 2002 Sep; 10(9):923-31. PubMed ID: 12226141
[TBL] [Abstract][Full Text] [Related]
8. The metabolic syndrome among postmenopausal women in Ecuador.
Hidalgo LA; Chedraui PA; Morocho N; Alvarado M; Chavez D; Huc A
Gynecol Endocrinol; 2006 Aug; 22(8):447-54. PubMed ID: 17012107
[TBL] [Abstract][Full Text] [Related]
9. 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. PubMed ID: 23963310
[TBL] [Abstract][Full Text] [Related]
10. Waist circumference, dual-energy X-ray absortiometrically measured abdominal adiposity, and computed tomographically derived intra-abdominal fat area on detecting metabolic risk factors in obese women.
Lee K; Lee S; Kim YJ; Kim YJ
Nutrition; 2008; 24(7-8):625-31. PubMed ID: 18485667
[TBL] [Abstract][Full Text] [Related]
11. Prevalence of metabolic syndrome and its relation to body composition in a Chinese rural population.
Feng Y; Hong X; Li Z; Zhang W; Jin D; Liu X; Zhang Y; Hu FB; Wei LJ; Zang T; Xu X; Xu X
Obesity (Silver Spring); 2006 Nov; 14(11):2089-98. PubMed ID: 17135627
[TBL] [Abstract][Full Text] [Related]
12. Measures of obesity and metabolic syndrome in Indian Americans in northern California.
Misra KB; Endemann SW; Ayer M
Ethn Dis; 2006; 16(2):331-7. PubMed ID: 17682232
[TBL] [Abstract][Full Text] [Related]
13. Menopause is an independent predictor of metabolic syndrome in Iranian women.
Eshtiaghi R; Esteghamati A; Nakhjavani M
Maturitas; 2010 Mar; 65(3):262-6. PubMed ID: 19962253
[TBL] [Abstract][Full Text] [Related]
14. Obesity and its associations with hypertension and type 2 diabetes among Chinese adults age 40 years and over.
He YH; Jiang GX; Yang Y; Huang HE; Li R; Li XY; Ning G; Cheng Q
Nutrition; 2009; 25(11-12):1143-9. PubMed ID: 19592220
[TBL] [Abstract][Full Text] [Related]
15. The US National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III): prevalence of the metabolic syndrome in postmenopausal Latin American women.
Royer M; Castelo-Branco C; Blümel JE; Chedraui PA; Danckers L; Bencosme A; Navarro D; Vallejo S; Espinoza MT; Gómez G; Izaguirre H; Ayala F; Martino M; Ojeda E; Onatra W; Saavedra J; Tserotas K; Pozzo E; Manriquez V; Prada M; Grandia E; Zuniga C; Lange D; Sayegh F;
Climacteric; 2007 Apr; 10(2):164-70. PubMed ID: 17453865
[TBL] [Abstract][Full Text] [Related]
16. 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. PubMed ID: 19446111
[TBL] [Abstract][Full Text] [Related]
17. High prevalence of multiple coronary risk factors in Punjabi Bhatia community: Jaipur Heart Watch-3.
Gupta R; Sarna M; Thanvi J; Rastogi P; Kaul V; Gupta VP
Indian Heart J; 2004; 56(6):646-52. PubMed ID: 15751521
[TBL] [Abstract][Full Text] [Related]
18. 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. PubMed ID: 15556253
[TBL] [Abstract][Full Text] [Related]
19. A comparison of body mass index and waist-to-hip ratio as indicators of hypertension risk in an urban Argentine population: a hospital-based study.
Feldstein CA; Akopian M; Olivieri AO; Kramer AP; Nasi M; Garrido D
Nutr Metab Cardiovasc Dis; 2005 Aug; 15(4):310-5. PubMed ID: 16054556
[TBL] [Abstract][Full Text] [Related]
20. 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. PubMed ID: 14674615
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]