148 related articles for article (PubMed ID: 24571233)
1. Validation of continuous clinical indices of cardiometabolic risk in a cohort of Australian adults.
Carroll SJ; Paquet C; Howard NJ; Adams RJ; Taylor AW; Daniel M
BMC Cardiovasc Disord; 2014 Feb; 14():27. PubMed ID: 24571233
[TBL] [Abstract][Full Text] [Related]
2. Development of a Weighted Cardiometabolic Disease Staging (CMDS) System for the Prediction of Future Diabetes.
Guo F; Garvey WT
J Clin Endocrinol Metab; 2015 Oct; 100(10):3871-7. PubMed ID: 26241327
[TBL] [Abstract][Full Text] [Related]
3. Alternative waist-to-height ratios associated with risk biomarkers in youth with diabetes: comparative models in the SEARCH for Diabetes in Youth Study.
Kahn HS; Divers J; Fino NF; Dabelea D; Bell R; Liu LL; Zhong VW; Saydah S
Int J Obes (Lond); 2019 Oct; 43(10):1940-1950. PubMed ID: 30926953
[TBL] [Abstract][Full Text] [Related]
4. Serum levels of interleukin-22, cardiometabolic risk factors and incident type 2 diabetes: KORA F4/FF4 study.
Herder C; Kannenberg JM; Carstensen-Kirberg M; Huth C; Meisinger C; Koenig W; Peters A; Rathmann W; Roden M; Thorand B
Cardiovasc Diabetol; 2017 Jan; 16(1):17. PubMed ID: 28143481
[TBL] [Abstract][Full Text] [Related]
5. Validation of metabolic syndrome score by confirmatory factor analysis in children and adults and prediction of cardiometabolic outcomes in adults.
Viitasalo A; Lakka TA; Laaksonen DE; Savonen K; Lakka HM; Hassinen M; Komulainen P; Tompuri T; Kurl S; Laukkanen JA; Rauramaa R
Diabetologia; 2014 May; 57(5):940-9. PubMed ID: 24463933
[TBL] [Abstract][Full Text] [Related]
6. Associations of a metabolic syndrome severity score with coronary heart disease and diabetes in fasting vs. non-fasting individuals.
DeBoer MD; Filipp SL; Gurka MJ
Nutr Metab Cardiovasc Dis; 2020 Jan; 30(1):92-98. PubMed ID: 31662283
[TBL] [Abstract][Full Text] [Related]
7. Waist-to-height ratio and metabolic phenotype compared to the Matsuda index for the prediction of insulin resistance.
Lechner K; Lechner B; Crispin A; Schwarz PEH; von Bibra H
Sci Rep; 2021 Apr; 11(1):8224. PubMed ID: 33859227
[TBL] [Abstract][Full Text] [Related]
8. Spousal cardiometabolic risk factors and incidence of type 2 diabetes: a prospective analysis from the English Longitudinal Study of Ageing.
Nielsen J; Hulman A; Witte DR
Diabetologia; 2018 Jul; 61(7):1572-1580. PubMed ID: 29520580
[TBL] [Abstract][Full Text] [Related]
9. Waist circumference predicts increased cardiometabolic risk in normal weight adolescent males.
Taylor SA; Hergenroeder AC
Int J Pediatr Obes; 2011 Jun; 6(2-2):e307-11. PubMed ID: 21649469
[TBL] [Abstract][Full Text] [Related]
10. Risk factors for type 2 diabetes in groups stratified according to metabolic syndrome: a 10-year follow-up of the Tromsø Study.
Joseph J; Svartberg J; Njølstad I; Schirmer H
Eur J Epidemiol; 2011 Feb; 26(2):117-24. PubMed ID: 21188479
[TBL] [Abstract][Full Text] [Related]
11. Models Predictive of Metabolic Syndrome Components in Obese Pediatric Patients.
Ortega-Cortes R; Trujillo X; Hurtado López EF; López Beltrán AL; Colunga Rodríguez C; Barrera-de Leon JC; Tlacuilo-Parra A
Arch Med Res; 2016 Jan; 47(1):40-8. PubMed ID: 26820798
[TBL] [Abstract][Full Text] [Related]
12. Follicle-Stimulating Hormone, Its Association with Cardiometabolic Risk Factors, and 10-Year Risk of Cardiovascular Disease in Postmenopausal Women.
Wang N; Shao H; Chen Y; Xia F; Chi C; Li Q; Han B; Teng Y; Lu Y
J Am Heart Assoc; 2017 Aug; 6(9):. PubMed ID: 28855169
[TBL] [Abstract][Full Text] [Related]
13. Comparing the validity of continuous metabolic syndrome risk scores for predicting pediatric metabolic syndrome: the CASPIAN-V study.
Khoshhali M; Heshmat R; Esmaeil Motlagh M; Ziaodini H; Hadian M; Aminaei T; Qorbani M; Kelishadi R
J Pediatr Endocrinol Metab; 2019 Apr; 32(4):383-389. PubMed ID: 30862761
[TBL] [Abstract][Full Text] [Related]
14. Predictive ability of childhood metabolic components for adult metabolic syndrome and type 2 diabetes.
Schubert CM; Sun SS; Burns TL; Morrison JA; Huang TT
J Pediatr; 2009 Sep; 155(3):S6.e1-7. PubMed ID: 19732565
[TBL] [Abstract][Full Text] [Related]
15. Assessing Baseline and Temporal Changes in Cardiometabolic Risk Using Metabolic Syndrome Severity and Common Risk Scores.
Gurka MJ; Filipp SL; Pearson TA; DeBoer MD
J Am Heart Assoc; 2018 Aug; 7(16):e009754. PubMed ID: 30369320
[TBL] [Abstract][Full Text] [Related]
16. DIAGNOSTIC PERFORMANCE OF WAIST CIRCUMFERENCE MEASUREMENTS FOR PREDICTING CARDIOMETABOLIC RISK IN MEXICAN CHILDREN.
López-González D; Miranda-Lora A; Klünder-Klünder M; Queipo-García G; Bustos-Esquivel M; Paez-Villa M; Villanueva-Ortega E; Chávez-Requena I; Laresgoiti-Servitje E; Garibay-Nieto N
Endocr Pract; 2016 Oct; 22(10):1170-1176. PubMed ID: 27295014
[TBL] [Abstract][Full Text] [Related]
17. Metabolic syndrome severity is significantly associated with future coronary heart disease in Type 2 diabetes.
Gurka MJ; Guo Y; Filipp SL; DeBoer MD
Cardiovasc Diabetol; 2018 Jan; 17(1):17. PubMed ID: 29351794
[TBL] [Abstract][Full Text] [Related]
18. Associations between surrogate measures of insulin resistance and waist circumference, cardiovascular risk and the metabolic syndrome across Hispanic and non-Hispanic white populations.
Martínez-Larrad MT; Lorenzo C; González-Villalpando C; Gabriel R; Haffner SM; Serrano-Ríos M
Diabet Med; 2012 Nov; 29(11):1390-4. PubMed ID: 22681498
[TBL] [Abstract][Full Text] [Related]
19. Validation of Surrogate Anthropometric Indices in Older Adults: What Is the Best Indicator of High Cardiometabolic Risk Factor Clustering?
Ramírez-Vélez R; Pérez-Sousa MÁ; Izquierdo M; Cano-Gutierrez CA; González-Jiménez E; Schmidt-RioValle J; González-Ruíz K; Correa-Rodríguez M
Nutrients; 2019 Jul; 11(8):. PubMed ID: 31344803
[TBL] [Abstract][Full Text] [Related]
20. Validation of a continuous measure of cardiometabolic risk among adolescents.
Li K; Haynie DL; Gao X; Lipsky LM; Nansel T; Iannotti RJ; Vaca FE; Simons-Morton BG
J Pediatr Endocrinol Metab; 2021 Jun; 34(6):763-770. PubMed ID: 33823099
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
