These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1107 related articles for article (PubMed ID: 23042576)

  • 1. The association of anthropometric indices in adolescence with the occurrence of the metabolic syndrome in early adulthood: Tehran Lipid and Glucose Study (TLGS).
    Barzin M; Asghari G; Hosseinpanah F; Mirmiran P; Azizi F
    Pediatr Obes; 2013 Jun; 8(3):170-7. PubMed ID: 23042576
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Waist/height ratio as a better predictor of type 2 diabetes compared to body mass index in Tehranian adult men--a 3.6-year prospective study.
    Hadaegh F; Zabetian A; Harati H; Azizi F
    Exp Clin Endocrinol Diabetes; 2006 Jun; 114(6):310-5. PubMed ID: 16868890
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The discriminative ability of waist circumference, body mass index and waist-to-hip ratio in identifying metabolic syndrome: Variations by age, sex and race.
    Cheong KC; Ghazali SM; Hock LK; Subenthiran S; Huey TC; Kuay LK; Mustapha FI; Yusoff AF; Mustafa AN
    Diabetes Metab Syndr; 2015; 9(2):74-8. PubMed ID: 25819369
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome.
    Costa EC; Sá JC; Soares EM; Lemos TM; Maranhão TM; Azevedo GD
    Gynecol Endocrinol; 2012 Jan; 28(1):12-5. PubMed ID: 21958393
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of anthropometric measurements in children to predict metabolic syndrome in adolescence: analysis of prospective cohort data.
    Wicklow BA; Becker A; Chateau D; Palmer K; Kozyrskij A; Sellers EA
    Int J Obes (Lond); 2015 Jul; 39(7):1070-8. PubMed ID: 25869598
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Waist-to-hip ratio is a better screening measure for cardiovascular risk factors than other anthropometric indicators in Tehranian adult men.
    Esmaillzadeh A; Mirmiran P; Azizi F
    Int J Obes Relat Metab Disord; 2004 Oct; 28(10):1325-32. PubMed ID: 15314626
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adolescence metabolic syndrome or adiposity and early adult metabolic syndrome.
    Hosseinpanah F; Asghari G; Barzin M; Ghareh S; Azizi F
    J Pediatr; 2013 Dec; 163(6):1663-1669.e1. PubMed ID: 24011762
    [TBL] [Abstract][Full Text] [Related]  

  • 8. References of anthropometric indices of central obesity and metabolic syndrome in Jordanian men and women.
    Al-Odat AZ; Ahmad MN; Haddad FH
    Diabetes Metab Syndr; 2012; 6(1):15-21. PubMed ID: 23014249
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Neck circumference: a useful screening tool of cardiovascular risk in children.
    Androutsos O; Grammatikaki E; Moschonis G; Roma-Giannikou E; Chrousos GP; Manios Y; Kanaka-Gantenbein C
    Pediatr Obes; 2012 Jun; 7(3):187-95. PubMed ID: 22505226
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Waist circumference, waist-to-hip ratio and waist-to-height ratio reference percentiles for abdominal obesity among Greek adolescents.
    Bacopoulou F; Efthymiou V; Landis G; Rentoumis A; Chrousos GP
    BMC Pediatr; 2015 May; 15():50. PubMed ID: 25935716
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Anthropometric indices predicting incident type 2 diabetes in an Iranian population: the Isfahan Cohort Study.
    Talaei M; Sadeghi M; Marshall T; Thomas GN; Iranipour R; Nazarat N; Sarrafzadegan N
    Diabetes Metab; 2013 Oct; 39(5):424-31. PubMed ID: 23867722
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Study on physique index set for Chinese children and adolescents].
    Chen XF; Liang L; Fu JF; Gong CX; Xiong F; Liu GL; Luo FH; Chen SK
    Zhonghua Liu Xing Bing Xue Za Zhi; 2012 May; 33(5):449-54. PubMed ID: 22883167
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study.
    Wang H; Liu A; Zhao T; Gong X; Pang T; Zhou Y; Xiao Y; Yan Y; Fan C; Teng W; Lai Y; Shan Z
    BMJ Open; 2017 Sep; 7(9):e016062. PubMed ID: 28928179
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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; 49(4):E281-7. PubMed ID: 23521181
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Early and late menarche are associated with oligomenorrhea and predict metabolic syndrome 26 years later.
    Glueck CJ; Morrison JA; Wang P; Woo JG
    Metabolism; 2013 Nov; 62(11):1597-606. PubMed ID: 23953892
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The most appropriate cut-off point of anthropometric indices in predicting the incidence of metabolic syndrome and its components.
    Farhangiyan Z; Latifi SM; Rashidi H; Shahbazian H
    Diabetes Metab Syndr; 2019; 13(4):2739-2745. PubMed ID: 31405702
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of anthropometric indices in predicting metabolic syndrome components in children.
    Agirbasli M; Agaoglu NB; Ergonul O; Yagmur I; Aydogar H; Oneri T; Ozturk O
    Metab Syndr Relat Disord; 2011 Dec; 9(6):453-9. PubMed ID: 21830913
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Obesity- and lipid-related indices as a predictor of obesity metabolic syndrome in a national cohort study.
    Gui J; Li Y; 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 Public Health; 2023; 11():1073824. PubMed ID: 36875382
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 56.