760 related articles for article (PubMed ID: 23819808)
1. 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]
2. 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]
3. 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]
4. Tri-Ponderal Mass Index vs. Fat Mass/Height³ as a Screening Tool for Metabolic Syndrome Prediction in Colombian Children and Young People.
Ramírez-Vélez R; Correa-Bautista JE; Carrillo HA; González-Jiménez E; Schmidt-RioValle J; Correa-Rodríguez M; García-Hermoso A; González-Ruíz K
Nutrients; 2018 Mar; 10(4):. PubMed ID: 29584641
[TBL] [Abstract][Full Text] [Related]
5. Comparability and utility of body composition measurement vs. anthropometric measurement for assessing obesity related health risks in Korean men.
Kim JY; Oh S; Chang MR; Cho YG; Park KH; Paek YJ; Yoo SH; Cho JJ; Caterson ID; Song HJ
Int J Clin Pract; 2013 Jan; 67(1):73-80. PubMed ID: 23241051
[TBL] [Abstract][Full Text] [Related]
6. A comparison of fat and lean body mass index to BMI for the identification of metabolic syndrome in children and adolescents.
Weber DR; Leonard MB; Shults J; Zemel BS
J Clin Endocrinol Metab; 2014 Sep; 99(9):3208-16. PubMed ID: 24926951
[TBL] [Abstract][Full Text] [Related]
7. Receiver-operating characteristics of adiposity for metabolic syndrome: the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study.
Beydoun MA; Kuczmarski MT; Wang Y; Mason MA; Evans MK; Zonderman AB
Public Health Nutr; 2011 Jan; 14(1):77-92. PubMed ID: 20854721
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Assessment of Age-Induced Changes in Body Fat Percentage and BMI Aided by Bayesian Modelling: A Cross-Sectional Cohort Study in Middle-Aged and Older Adults.
Macek P; Terek-Derszniak M; Biskup M; Krol H; Smok-Kalwat J; Gozdz S; Zak M
Clin Interv Aging; 2020; 15():2301-2311. PubMed ID: 33335389
[TBL] [Abstract][Full Text] [Related]
10. Fat-to-Muscle Ratio: A New Anthropometric Indicator as a Screening Tool for Metabolic Syndrome in Young Colombian People.
Ramírez-Vélez R; Carrillo HA; Correa-Bautista JE; Schmidt-RioValle J; González-Jiménez E; Correa-Rodríguez M; González-Ruíz K; García-Hermoso A
Nutrients; 2018 Aug; 10(8):. PubMed ID: 30087234
[TBL] [Abstract][Full Text] [Related]
11. Accuracy of body fat percent and adiposity indicators cut off values to detect metabolic risk factors in a sample of Mexican adults.
Macias N; Quezada AD; Flores M; Valencia ME; Denova-Gutiérrez E; Quiterio-Trenado M; Gallegos-Carrillo K; Barquera S; Salmerón J
BMC Public Health; 2014 Apr; 14():341. PubMed ID: 24721260
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. Characteristics and reference values of fat mass index and fat free mass index by bioelectrical impedance analysis in an adult population.
Jin M; Du H; Zhang Y; Zhu H; Xu K; Yuan X; Pan H; Shan G
Clin Nutr; 2019 Oct; 38(5):2325-2332. PubMed ID: 30389251
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Validity of simple, novel measures of generalized and central obesity among young Asian Indian women.
Singhal N; Mathur P; Pathak R
Indian J Med Sci; 2011 Dec; 65(12):518-27. PubMed ID: 23548252
[TBL] [Abstract][Full Text] [Related]
18. Comparison of Three Adiposity Indexes and Cutoff Values to Predict Metabolic Syndrome Among University Students.
Correa-Bautista JE; González-Ruíz K; Vivas A; Triana-Reina HR; Martínez-Torres J; Prieto-Benavides DH; Carrillo HA; Ramos-Sepúlveda JA; Afanador-Rodríguez MI; Villa-González E; García-Hermoso A; Ramírez-Vélez R
Metab Syndr Relat Disord; 2017 Sep; 15(7):363-370. PubMed ID: 28570830
[TBL] [Abstract][Full Text] [Related]
19. 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; 9():443. PubMed ID: 19951442
[TBL] [Abstract][Full Text] [Related]
20. The performance of body mass component indices in detecting risk of musculoskeletal injuries in physically active young men and women.
Domaradzki J; Koźlenia D
PeerJ; 2022; 10():e12745. PubMed ID: 35127283
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]