BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

266 related articles for article (PubMed ID: 20696055)

  • 21. Men in Macau SAR have higher prevalence in metabolic syndrome and among related metabolic components: a cross-sectional Macau Health Survey.
    Sobko T; Trindade D; Lao QX; Wong M; Io TK; Wa CK; Gu K
    BMC Public Health; 2014 Oct; 14():1065. PubMed ID: 25304760
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Prevalence of the metabolic syndrome and its components in Northwest Russia: the Arkhangelsk study.
    Sidorenkov O; Nilssen O; Brenn T; Martiushov S; Arkhipovsky VL; Grjibovski AM
    BMC Public Health; 2010 Jan; 10():23. PubMed ID: 20085638
    [TBL] [Abstract][Full Text] [Related]  

  • 23. [Metabolic syndrome: prevalence, risk factors and mortality in a French population of 62 000 subjects].
    Guize L; Thomas F; Pannier B; Bean K; Danchin N; Bénétos A
    Bull Acad Natl Med; 2006 Mar; 190(3):685-97; discussion 697-700. PubMed ID: 17140103
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Gender as an Independent Risk Factor for the Components of Metabolic Syndrome Among Individuals Within the Normal Range of Body Mass Index.
    Cohen E; Margalit I; Goldberg E; Krause I
    Metab Syndr Relat Disord; 2018 Dec; 16(10):537-542. PubMed ID: 30204551
    [No Abstract]   [Full Text] [Related]  

  • 25. Prevalence of metabolic syndrome in children aged 5-9 years from southwest colombia: a cross-sectional study.
    Suarez-Ortegón MF; Aguilar-de Plata C
    World J Pediatr; 2016 Nov; 12(4):477-483. PubMed ID: 26830308
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Prevalence of dyslipidemia and associated risk factors among Turkish adults: Trabzon lipid study.
    Erem C; Hacihasanoglu A; Deger O; Kocak M; Topbas M
    Endocrine; 2008; 34(1-3):36-51. PubMed ID: 19003544
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Risk for cardiovascular disease associated with metabolic syndrome and its components: a 13-year prospective study in the RIVANA cohort.
    Guembe MJ; Fernandez-Lazaro CI; Sayon-Orea C; Toledo E; Moreno-Iribas C;
    Cardiovasc Diabetol; 2020 Nov; 19(1):195. PubMed ID: 33222691
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A Cross-Sectional Study of the Prevalence of Metabolic Syndrome and Associated Factors in Colombian Collegiate Students: The FUPRECOL-Adults Study.
    Martínez-Torres J; Correa-Bautista JE; González-Ruíz K; Vivas A; Triana-Reina HR; Prieto-Benavidez DH; Carrillo HA; Ramos-Sepúlveda JA; Villa-González E; García-Hermoso A; Ramírez-Vélez R
    Int J Environ Res Public Health; 2017 Feb; 14(3):. PubMed ID: 28264459
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Psoriasis, cardiovascular risk factors and metabolic disorders: sex-specific findings of a population-based study.
    Sondermann W; Djeudeu Deudjui DA; Körber A; Slomiany U; Brinker TJ; Erbel R; Moebus S
    J Eur Acad Dermatol Venereol; 2020 Apr; 34(4):779-786. PubMed ID: 31797464
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Association of blood cadmium and metabolic syndrome: a cross-sectional analysis of National Health and Nutrition Examination Survey 2017-2020.
    Xing W; Wang L; Gu W; Liang M; Wang Z; Fan D; Zhang B
    Environ Sci Pollut Res Int; 2023 Feb; 30(10):27150-27162. PubMed ID: 36378388
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Metabolic syndrome and its components in premenopausal and postmenopausal women: a comprehensive systematic review and meta-analysis on observational studies.
    Hallajzadeh J; Khoramdad M; Izadi N; Karamzad N; Almasi-Hashiani A; Ayubi E; Qorbani M; Pakzad R; Hasanzadeh A; Sullman MJM; Safiri S
    Menopause; 2018 Oct; 25(10):1155-1164. PubMed ID: 29787477
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Prevalence of metabolic syndrome and its determinants among Iranian adults: evidence of IraPEN survey on a bi-ethnic population.
    Jahangiry L; Khosravi-Far L; Sarbakhsh P; Kousha A; EntezarMahdi R; Ponnet K
    Sci Rep; 2019 May; 9(1):7937. PubMed ID: 31138853
    [TBL] [Abstract][Full Text] [Related]  

  • 34. The nine-year changes of the incidence and characteristics of metabolic syndrome in China: longitudinal comparisons of the two cross-sectional surveys in a newly formed urban community.
    Jiang B; Li B; Wang Y; Han B; Wang N; Li Q; Yang W; Huang G; Wang J; Chen Y; Chen Y; Zhu C; Lin D; Lu Y
    Cardiovasc Diabetol; 2016 Jun; 15():84. PubMed ID: 27255215
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Associations of serum 25-hydroxyvitamin D with metabolic syndrome and its components in elderly men and women: the Korean Urban Rural Elderly cohort study.
    Lee SJ; Lee EY; Lee JH; Kim JE; Kim KJ; Rhee Y; Kim HC; Youm Y; Kim CO
    BMC Geriatr; 2019 Apr; 19(1):102. PubMed ID: 30975093
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Low serum high density lipoprotein is associated with the greatest risk of metabolic syndrome among U.S. adults.
    Castaneda G; Bhuket T; Liu B; Wong RJ
    Diabetes Metab Syndr; 2018; 12(1):5-8. PubMed ID: 28826579
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The effect of menopause on metabolic syndrome: cross-sectional results from the Canadian Longitudinal Study on Aging.
    Christakis MK; Hasan H; De Souza LR; Shirreff L
    Menopause; 2020 Sep; 27(9):999-1009. PubMed ID: 32852451
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Gender Differences in the Prevalence of Metabolic Syndrome Among Taiwanese Air Force Personnel: A Population-Based Study.
    Wang WY; Li CH; Wu YS; Chien WC; Wang KY; Tzeng WC
    J Cardiovasc Nurs; 2020; 35(5):502-511. PubMed ID: 32732778
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 14.