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PUBMED FOR HANDHELDS

Journal Abstract Search


802 related items for PubMed ID: 25795939

  • 1. Cut-off values of waist circumference to predict metabolic syndrome in obese adolescents.
    Masquio DC, Ganen Ade P, Campos RM, Sanches Pde L, Corgosinho FC, Caranti D, Tock L, de Mello MT, Tufik S, Dâmaso AR.
    Nutr Hosp; 2015 Apr 01; 31(4):1540-50. PubMed ID: 25795939
    [Abstract] [Full Text] [Related]

  • 2. The role of multicomponent therapy in the metabolic syndrome, inflammation and cardiovascular risk in obese adolescents.
    Masquio DC, de Piano A, Campos RM, Sanches PL, Carnier J, Corgosinho FC, Netto BD, Carvalho-Ferreira JP, Oyama LM, Nascimento CM, de Mello MT, Tufik S, Dâmaso AR.
    Br J Nutr; 2015 Jun 28; 113(12):1920-30. PubMed ID: 25907896
    [Abstract] [Full Text] [Related]

  • 3. Neck circumference as a simple tool for identifying the metabolic syndrome and insulin resistance: results from the Brazilian Metabolic Syndrome Study.
    Stabe C, Vasques AC, Lima MM, Tambascia MA, Pareja JC, Yamanaka A, Geloneze B.
    Clin Endocrinol (Oxf); 2013 Jun 28; 78(6):874-81. PubMed ID: 22804918
    [Abstract] [Full Text] [Related]

  • 4. Waist circumference shows the highest predictive value for metabolic syndrome, and waist-to-hip ratio for its components, in Spanish adolescents.
    Perona JS, Schmidt-RioValle J, Rueda-Medina B, Correa-Rodríguez M, González-Jiménez E.
    Nutr Res; 2017 Sep 28; 45():38-45. PubMed ID: 29037330
    [Abstract] [Full Text] [Related]

  • 5. Cut-off value of body fat in association with metabolic syndrome in Thai peri- and postmenopausal women.
    Bintvihok W, Chaikittisilpa S, Panyakamlerd K, Jaisamrarn U, Taechakraichana N.
    Climacteric; 2013 Jun 28; 16(3):393-7. PubMed ID: 23320744
    [Abstract] [Full Text] [Related]

  • 6. Use of the waist-height ratio to predict metabolic syndrome in obese children and adolescents.
    Nambiar S, Truby H, Davies PS, Baxter K.
    J Paediatr Child Health; 2013 Apr 28; 49(4):E281-7. PubMed ID: 23521181
    [Abstract] [Full Text] [Related]

  • 7. Anthropometric measures of visceral and subcutaneous fat are important in the determination of metabolic dysregulation in boys and girls at risk for nonalcoholic fatty liver disease.
    Mager DR, Yap J, Rodriguez-Dimitrescu C, Mazurak V, Ball G, Gilmour S.
    Nutr Clin Pract; 2013 Feb 28; 28(1):101-11. PubMed ID: 23042833
    [Abstract] [Full Text] [Related]

  • 8. Waist circumference and abdominal volume index are the strongest anthropometric discriminators of metabolic syndrome in Spanish adolescents.
    Perona JS, Schmidt Rio-Valle J, Ramírez-Vélez R, Correa-Rodríguez M, Fernández-Aparicio Á, González-Jiménez E.
    Eur J Clin Invest; 2019 Mar 28; 49(3):e13060. PubMed ID: 30549264
    [Abstract] [Full Text] [Related]

  • 9. Analysis of the relationship of leptin, high-sensitivity C-reactive protein, adiponectin, insulin, and uric acid to metabolic syndrome in lean, overweight, and obese young females.
    Abdullah AR, Hasan HA, Raigangar VL.
    Metab Syndr Relat Disord; 2009 Feb 28; 7(1):17-22. PubMed ID: 19025443
    [Abstract] [Full Text] [Related]

  • 10. Anthropometric markers for detection of the metabolic syndrome in adolescents.
    Benmohammed K, Valensi P, Benlatreche M, Nguyen MT, Benmohammed F, Pariès J, Khensal S, Benlatreche C, Lezzar A.
    Diabetes Metab; 2015 Apr 28; 41(2):138-44. PubMed ID: 25108350
    [Abstract] [Full Text] [Related]

  • 11. Performance of anthropometric indicators as predictors of metabolic syndrome in Brazilian adolescents.
    Oliveira RG, Guedes DP.
    BMC Pediatr; 2018 Feb 07; 18(1):33. PubMed ID: 29415673
    [Abstract] [Full Text] [Related]

  • 12. Performance of abdominal bioelectrical impedance analysis and comparison with other known parameters in predicting the metabolic syndrome.
    Mousa U, Kut A, Bozkus Y, Cicek Demir C, Anil C, Bascil Tutuncu N.
    Exp Clin Endocrinol Diabetes; 2013 Jul 07; 121(7):391-6. PubMed ID: 23696479
    [Abstract] [Full Text] [Related]

  • 13. [Profile of free fatty acids (FFA) in serum of young Colombians with obesity and metabolic syndrome].
    Bermudez JA, Velásquez CM.
    Arch Latinoam Nutr; 2014 Dec 07; 64(4):248-57. PubMed ID: 26336720
    [Abstract] [Full Text] [Related]

  • 14. Waist circumference and BMI cut-off points to predict risk factors for metabolic syndrome among outpatients in a district hospital.
    Aye M, Sazali M.
    Singapore Med J; 2012 Aug 07; 53(8):545-50. PubMed ID: 22941134
    [Abstract] [Full Text] [Related]

  • 15. Effects of individual components, time, and sex on prevalence of metabolic syndrome in adolescents.
    Daratha KB, Bindler RC.
    Arch Pediatr Adolesc Med; 2009 Apr 07; 163(4):365-70. PubMed ID: 19349566
    [Abstract] [Full Text] [Related]

  • 16. 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 Apr 07; 11(2):e0148976. PubMed ID: 26901035
    [Abstract] [Full Text] [Related]

  • 17. Visfatin in obese children and adolescents and its association with insulin resistance and metabolic syndrome.
    Nourbakhsh M, Nourbakhsh M, Gholinejad Z, Razzaghy-Azar M.
    Scand J Clin Lab Invest; 2015 Apr 07; 75(2):183-8. PubMed ID: 25723377
    [Abstract] [Full Text] [Related]

  • 18. Visceral Adiposity Index (VAI) in Children and Adolescents with Obesity: No Association with Daily Energy Intake but Promising Tool to Identify Metabolic Syndrome (MetS).
    Vizzuso S, Del Torto A, Dilillo D, Calcaterra V, Di Profio E, Leone A, Gilardini L, Bertoli S, Battezzati A, Zuccotti GV, Verduci E.
    Nutrients; 2021 Jan 28; 13(2):. PubMed ID: 33525454
    [Abstract] [Full Text] [Related]

  • 19. Comparison of adiposity indices and cut-off values in the prediction of metabolic syndrome in postmenopausal women.
    Gadelha AB, Myers J, Moreira S, Dutra MT, Safons MP, Lima RM.
    Diabetes Metab Syndr; 2016 Jan 28; 10(3):143-8. PubMed ID: 26810157
    [Abstract] [Full Text] [Related]

  • 20. High-molecular weight adiponectin/HOMA-IR ratio as a biomarker of metabolic syndrome in urban multiethnic Brazilian subjects.
    de Abreu VG, Martins CJM, de Oliveira PAC, Francischetti EA.
    PLoS One; 2017 Jan 28; 12(7):e0180947. PubMed ID: 28746378
    [Abstract] [Full Text] [Related]


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