307 related articles for article (PubMed ID: 28427375)
1. Relation between metabolic syndrome and body compositions among Chinese adolescents and adults from a large-scale population survey.
Xu T; Liu J; Liu J; Zhu G; Han S
BMC Public Health; 2017 Apr; 17(1):337. PubMed ID: 28427375
[TBL] [Abstract][Full Text] [Related]
2. Optimal cut-off for obesity and markers of metabolic syndrome for Ethiopian adults.
Sinaga M; Worku M; Yemane T; Tegene E; Wakayo T; Girma T; Lindstrom D; Belachew T
Nutr J; 2018 Nov; 17(1):109. PubMed ID: 30466421
[TBL] [Abstract][Full Text] [Related]
3. Predicting metabolic syndrome by obesity- and lipid-related indices in mid-aged and elderly Chinese: a population-based cross-sectional study.
Li Y; Gui J; Liu H; Guo LL; Li J; Lei Y; Li X; Sun L; Yang L; Yuan T; Wang C; Zhang D; Wei H; Li J; Liu M; Hua Y; Zhang L
Front Endocrinol (Lausanne); 2023; 14():1201132. PubMed ID: 37576971
[TBL] [Abstract][Full Text] [Related]
4. 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. PubMed ID: 27181602
[TBL] [Abstract][Full Text] [Related]
5. 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. PubMed ID: 19188050
[TBL] [Abstract][Full Text] [Related]
6. Can body mass index, waist circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects?
Liu Y; Tong G; Tong W; Lu L; Qin X
BMC Public Health; 2011 Jan; 11():35. PubMed ID: 21226967
[TBL] [Abstract][Full Text] [Related]
7. Optimal Cut-off Point of Waist to Height Ratio in Beijing and Its Association with Clusters of Metabolic Risk Factors.
Dong J; Wang SS; Chu X; Zhao J; Liang YZ; Yang YB; Yan YX
Curr Med Sci; 2019 Apr; 39(2):330-336. PubMed ID: 31016530
[TBL] [Abstract][Full Text] [Related]
8. Sensitivity of various body indices and visceral adiposity index in predicting metabolic syndrome among Chinese patients with adult growth hormone deficiency.
Qing L; Wei R; Chan L; Xiaoya Z; Xin X
J Endocrinol Invest; 2017 Jun; 40(6):653-661. PubMed ID: 28233232
[TBL] [Abstract][Full Text] [Related]
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. PubMed ID: 21479941
[TBL] [Abstract][Full Text] [Related]
10. The discriminatory performance of body mass index, waist circumference, waist-to-hip ratio and waist-to-height ratio for detection of metabolic syndrome and their optimal cutoffs among Iranian adults.
Hajian-Tilaki K; Heidari B; Hajian-Tilaki A; Firouzjahi A; Bagherzadeh M
J Res Health Sci; 2014; 14(4):276-81. PubMed ID: 25503283
[TBL] [Abstract][Full Text] [Related]
11. Comparison of Anthropometric and Atherogenic Indices as Screening Tools of Metabolic Syndrome in the Kazakh Adult Population in Xinjiang.
Zhang XH; Zhang M; He J; Yan YZ; Ma JL; Wang K; Ma RL; Guo H; Mu LT; Ding YS; Zhang JY; Liu JM; Li SG; Niu Q; Rui DS; Guo SX
Int J Environ Res Public Health; 2016 Apr; 13(4):428. PubMed ID: 27092520
[TBL] [Abstract][Full Text] [Related]
12. Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China.
Tian T; Zhang J; Zhu Q; Xie W; Wang Y; Dai Y
BMC Public Health; 2020 Aug; 20(1):1317. PubMed ID: 32867710
[TBL] [Abstract][Full Text] [Related]
13. Optimal cut-off of obesity indices to predict cardiovascular disease risk factors and metabolic syndrome among adults in Northeast China.
Yu J; Tao Y; Tao Y; Yang S; Yu Y; Li B; Jin L
BMC Public Health; 2016 Oct; 16(1):1079. PubMed ID: 27737656
[TBL] [Abstract][Full Text] [Related]
14. [The optimal cut-off values of body fat percentage in adults among Chinese three provinces].
Fan D; Su C; Du W; Wang H; Wang Z; Zhang B
Wei Sheng Yan Jiu; 2018 Mar; 47(2):228-231. PubMed ID: 29903273
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Performance of anthropometric indicators as predictors of metabolic syndrome in Brazilian adolescents.
Oliveira RG; Guedes DP
BMC Pediatr; 2018 Feb; 18(1):33. PubMed ID: 29415673
[TBL] [Abstract][Full Text] [Related]
17. Obesity and lipid-related parameters for predicting metabolic syndrome in Chinese elderly population.
Gu Z; Zhu P; Wang Q; He H; Xu J; Zhang L; Li D; Wang J; Hu X; Ji G; Zhang L; Liu B
Lipids Health Dis; 2018 Dec; 17(1):289. PubMed ID: 30572889
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Percentage of Body Fat and Fat Mass Index as a Screening Tool for Metabolic Syndrome Prediction in Colombian University Students.
Ramírez-Vélez R; Correa-Bautista JE; Sanders-Tordecilla A; Ojeda-Pardo ML; Cobo-Mejía EA; Castellanos-Vega RDP; García-Hermoso A; González-Jiménez E; Schmidt-RioValle J; González-Ruíz K
Nutrients; 2017 Sep; 9(9):. PubMed ID: 28902162
[TBL] [Abstract][Full Text] [Related]
20. 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; 13():629. PubMed ID: 23819808
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
