401 related articles for article (PubMed ID: 27092520)
1. 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]
2. Best anthropometric and atherogenic predictors of metabolic syndrome in the Chinese Han population in Xinjiang: the Cardiovascular Risk Survey.
Chen BD; He CH; Ma YT; Yang YN; Liu F; Pan S; Ma X; Li XM; Fu ZY; Xie X; Zheng YY
Ann Nutr Metab; 2014; 65(4):280-8. PubMed ID: 25376983
[TBL] [Abstract][Full Text] [Related]
3. Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China.
Zhang X; Ding Y; Shao Y; He J; Ma J; Guo H; Keerman M; Liu J; Si H; Guo S; Ma R
Diabetes Metab Syndr Obes; 2021; 14():1609-1620. PubMed ID: 33889002
[TBL] [Abstract][Full Text] [Related]
4. Comparison of visceral, general and central obesity indices in the prediction of metabolic syndrome in maintenance hemodialysis patients.
Zhou C; Zhan L; Yuan J; Tong X; Peng Y; Zha Y
Eat Weight Disord; 2020 Jun; 25(3):727-734. PubMed ID: 30968371
[TBL] [Abstract][Full Text] [Related]
5. Visceral Adiposity and Anthropometric Indicators as Screening Tools of Metabolic Syndrome among Low Income Rural Adults in Xinjiang.
Guo SX; Zhang XH; Zhang JY; He J; Yan YZ; Ma JL; Ma RL; Guo H; Mu LT; Li SG; Niu Q; Rui DS; Zhang M; Liu JM; Wang K; Xu SZ; Gao X; Ding YS
Sci Rep; 2016 Oct; 6():36091. PubMed ID: 27782221
[TBL] [Abstract][Full Text] [Related]
6. Waist-to-Height Ratio and Triglycerides/High-Density Lipoprotein Cholesterol Were the Optimal Predictors of Metabolic Syndrome in Uighur Men and Women in Xinjiang, China.
Chen BD; Yang YN; Ma YT; Pan S; He CH; Liu F; Ma X; Fu ZY; Li XM; Xie X; Zheng YY
Metab Syndr Relat Disord; 2015 Jun; 13(5):214-20. PubMed ID: 25781351
[TBL] [Abstract][Full Text] [Related]
7. Association of metabolic syndrome with various anthropometric and atherogenic parameters in the Kazakh population in China.
Chen X; He C; Ma Y; Yang Y; Liu F; Ma X; Li X; Xie X; Chen B
Lipids Health Dis; 2016 Sep; 15(1):166. PubMed ID: 27664082
[TBL] [Abstract][Full Text] [Related]
8. Comparisons of conventional and novel anthropometric obesity indices to predict metabolic syndrome among vegetarians in Malaysia.
Ching YK; Chin YS; Appukutty M; Gan WY; Chan YM
Sci Rep; 2020 Nov; 10(1):20861. PubMed ID: 33257810
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Role of anthropometric indices as a screening tool for predicting metabolic syndrome among apparently healthy individuals of Karachi, Pakistan.
Adil SO; Musa KI; Uddin F; Shafique K; Khan A; Islam MA
Front Endocrinol (Lausanne); 2023; 14():1223424. PubMed ID: 37876536
[TBL] [Abstract][Full Text] [Related]
11. Comparison of obesity-related indicators for identifying metabolic syndrome among normal-weight adults in rural Xinjiang, China.
Jian LY; Guo SX; Ma RL; He J; Rui DS; Ding YS; Li Y; Sun XY; Mao YD; He X; Liao SY; Guo H
BMC Public Health; 2022 Sep; 22(1):1730. PubMed ID: 36096754
[TBL] [Abstract][Full Text] [Related]
12. The Prevalence of Metabolic Syndrome Using Three Different Diagnostic Criteria among Low Earning Nomadic Kazakhs in the Far Northwest of China: New Cut-Off Points of Waist Circumference to Diagnose MetS and Its Implications.
Guo H; Liu J; Zhang J; Ma R; Ding Y; Zhang M; He J; Xu S; Li S; Yan Y; Mu L; Rui D; Niu Q; Guo S
PLoS One; 2016; 11(2):e0148976. PubMed ID: 26901035
[TBL] [Abstract][Full Text] [Related]
13. Adiposity measures in screening for metabolic syndrome among Chinese children and adolescents.
Tang Z; Yang C; Zheng H; Jing J; Li X; Zhu Y
J Pediatr Endocrinol Metab; 2022 May; 35(5):617-625. PubMed ID: 35316596
[TBL] [Abstract][Full Text] [Related]
14. Identification of an obesity index for predicting metabolic syndrome by gender: the rural Chinese cohort study.
Liu L; Liu Y; Sun X; Yin Z; Li H; Deng K; Chen X; Cheng C; Luo X; Zhang M; Li L; Zhang L; Wang B; Ren Y; Zhao Y; Liu D; Zhou J; Han C; Liu X; Zhang D; Liu F; Wang C; Hu D
BMC Endocr Disord; 2018 Aug; 18(1):54. PubMed ID: 30081888
[TBL] [Abstract][Full Text] [Related]
15. Waist-to-height ratio is better than body mass index and waist circumference as a screening criterion for metabolic syndrome in Han Chinese adults.
Yang H; Xin Z; Feng JP; Yang JK
Medicine (Baltimore); 2017 Sep; 96(39):e8192. PubMed ID: 28953680
[TBL] [Abstract][Full Text] [Related]
16. Comparative analysis of IDF, ATPIII and CDS in the diagnosis of metabolic syndrome among adult inhabitants in Jiangxi Province, China.
Cheng L; Yan W; Zhu L; Chen Y; Liu J; Xu Y; Ji L; He J
PLoS One; 2017; 12(12):e0189046. PubMed ID: 29216328
[TBL] [Abstract][Full Text] [Related]
17. The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome.
Suliga E; Ciesla E; Głuszek-Osuch M; Rogula T; Głuszek S; Kozieł D
Nutrients; 2019 Oct; 11(11):. PubMed ID: 31671800
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Relationship between the optimal cut-off values of anthropometric indices for predicting metabolic syndrome and carotid intima-medial thickness in a Korean population.
Yang YJ; Park HJ; Won KB; Chang HJ; Park GM; Kim YG; Ann SH; Park EJ; Kim SJ; Lee SG
Medicine (Baltimore); 2019 Oct; 98(42):e17620. PubMed ID: 31626142
[TBL] [Abstract][Full Text] [Related]
20. Usefulness of waist-to-height ratio in screening incident metabolic syndrome among Japanese community-dwelling elderly individuals.
Kawamoto R; Kikuchi A; Akase T; Ninomiya D; Kumagi T
PLoS One; 2019; 14(4):e0216069. PubMed ID: 31034487
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]