BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

286 related articles for article (PubMed ID: 27517940)

  • 1. Comparison of the Combined Obesity Indices to Predict Cardiovascular Diseases Risk Factors and Metabolic Syndrome in Northeast China.
    Tao Y; Yu J; Tao Y; Pang H; Yu Y; Yu Y; Jin L
    Int J Environ Res Public Health; 2016 Aug; 13(8):. PubMed ID: 27517940
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimal cut-off of obesity indices to predict cardiovascular disease risk factors and metabolic syndrome among adults in Northeast China.
    Yu J; Tao Y; Tao Y; Yang S; Yu Y; Li B; Jin L
    BMC Public Health; 2016 Oct; 16(1):1079. PubMed ID: 27737656
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan.
    Lin WY; Lee LT; Chen CY; Lo H; Hsia HH; Liu IL; Lin RS; Shau WY; Huang KC
    Int J Obes Relat Metab Disord; 2002 Sep; 26(9):1232-8. PubMed ID: 12187401
    [TBL] [Abstract][Full Text] [Related]  

  • 5. BMI is strongly associated with hypertension, and waist circumference is strongly associated with type 2 diabetes and dyslipidemia, in northern Chinese adults.
    Feng RN; Zhao C; Wang C; Niu YC; Li K; Guo FC; Li ST; Sun CH; Li Y
    J Epidemiol; 2012; 22(4):317-23. PubMed ID: 22672914
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Feasibility of anthropometric indices to identify dyslipidemia among adults in Jilin Province: a cross-sectional study.
    Zhang K; Zhao Q; Li Y; Zhen Q; Yu Y; Tao Y; Cheng Y; Liu Y
    Lipids Health Dis; 2018 Jan; 17(1):16. PubMed ID: 29357896
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Relationships among insulin resistance, obesity, diagnosis of the metabolic syndrome and cardio-metabolic risk.
    Salazar MR; Carbajal HA; Espeche WG; Dulbecco CA; AizpurĂșa M; Marillet AG; EcheverrĂ­a RF; Reaven GM
    Diab Vasc Dis Res; 2011 Apr; 8(2):109-16. PubMed ID: 21562062
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Optimal cut-off levels of body mass index and waist circumference in relation to each component of metabolic syndrome (MetS) and the number of MetS component.
    Kawada T; Otsuka T; Inagaki H; Wakayama Y; Li Q; Li YJ; Katsumata M
    Diabetes Metab Syndr; 2011; 5(1):25-8. PubMed ID: 22814837
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Comparative analysis of anthropometric indices of obesity as correlates and potential predictors of risk for hypertension and prehypertension in a population in Nigeria.
    Ononamadu CJ; Ezekwesili CN; Onyeukwu OF; Umeoguaju UF; Ezeigwe OC; Ihegboro GO
    Cardiovasc J Afr; 2017 Mar/Apr 23; 28(2):92-99. PubMed ID: 27701484
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Optimal Obesity- and Lipid-Related Indices for Predicting Metabolic Syndrome in Chronic Kidney Disease Patients with and without Type 2 Diabetes Mellitus in China.
    Li H; Wang Q; Ke J; Lin W; Luo Y; Yao J; Zhang W; Zhang L; Duan S; Dong Z; Chen X
    Nutrients; 2022 Mar; 14(7):. PubMed ID: 35405947
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detection of cardiovascular risk factors by anthropometric measures in Tehranian adults: receiver operating characteristic (ROC) curve analysis.
    Mirmiran P; Esmaillzadeh A; Azizi F
    Eur J Clin Nutr; 2004 Aug; 58(8):1110-8. PubMed ID: 15280905
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of Different Obesity Indices for Predicting Incident Hypertension.
    Janghorbani M; Aminorroaya A; Amini M
    High Blood Press Cardiovasc Prev; 2017 Jun; 24(2):157-166. PubMed ID: 28160265
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Waist circumference, visceral abdominal fat thickness and three components of metabolic syndrome.
    Kawada T; Andou T; Fukumitsu M
    Diabetes Metab Syndr; 2016; 10(1):4-6. PubMed ID: 26376586
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Body roundness index and body adiposity index: two new anthropometric indices to identify metabolic syndrome among Chinese postmenopausal women.
    Liu PJ; Ma F; Lou HP; Zhu YN
    Climacteric; 2016 Oct; 19(5):433-9. PubMed ID: 27410775
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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; 53(8):545-50. PubMed ID: 22941134
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The effect of increasing body mass index on cardio-metabolic risk and biomarkers of oxidative stress and inflammation in nascent metabolic syndrome.
    Pahwa R; Adams-Huet B; Jialal I
    J Diabetes Complications; 2017 May; 31(5):810-813. PubMed ID: 28285929
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.