BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

196 related articles for article (PubMed ID: 32647283)

  • 1. Optimal cut-off values for anthropometric measures of obesity in screening for cardiometabolic disorders in adults.
    Macek P; Biskup M; Terek-Derszniak M; Krol H; Smok-Kalwat J; Gozdz S; Zak M
    Sci Rep; 2020 Jul; 10(1):11253. PubMed ID: 32647283
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. [Association of obesity indexes with hypertension and dyslipidemia in Chinese adults].
    Fan D; Su C; Du W; Wang H; Wang Z; Chen Y; Zhang B
    Wei Sheng Yan Jiu; 2018 Nov; 47(6):875-882. PubMed ID: 30593325
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optimal cut-off values of BMI, waist circumference and waist:height ratio for defining obesity in Chinese adults.
    Zeng Q; He Y; Dong S; Zhao X; Chen Z; Song Z; Chang G; Yang F; Wang Y
    Br J Nutr; 2014 Nov; 112(10):1735-44. PubMed ID: 25300318
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Waist-to-height ratio is a better discriminator of cardiovascular disease than other anthropometric indicators in Kurdish adults.
    Pasdar Y; Moradi S; Moludi J; Saiedi S; Moradinazar M; Hamzeh B; Jafarabadi MA; Najafi F
    Sci Rep; 2020 Oct; 10(1):16228. PubMed ID: 33004896
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study.
    Zafari N; Lotfaliany M; Mansournia MA; Khalili D; Azizi F; Hadaegh F
    BMC Public Health; 2018 Jun; 18(1):691. PubMed ID: 29866083
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Determining the best method for evaluating obesity and the risk for non-communicable diseases in women of childbearing age by measuring the body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, A Body Shape Index, and hip index.
    Hewage N; Wijesekara U; Perera R
    Nutrition; 2023 Oct; 114():112135. PubMed ID: 37453224
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Establishing international optimal cut-offs of waist-to-height ratio for predicting cardiometabolic risk in children and adolescents aged 6-18 years.
    Zong X; Kelishadi R; Hong YM; Schwandt P; Matsha TE; Mill JG; Whincup PH; Pacifico L; López-Bermejo A; Caserta CA; Medeiros CCM; Kollias A; Qorbani M; Jazi FS; Haas GM; de Oliveira Alvim R; Zaniqueli D; Chiesa C; Bassols J; Romeo EL; de Carvalho DF; da Silva Simões MO; Stergiou GS; Grammatikos E; Zhao M; Magnussen CG; Xi B
    BMC Med; 2023 Nov; 21(1):442. PubMed ID: 37968681
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Waist-to-Height Ratio Compared to Standard Obesity Measures as Predictor of Cardiometabolic Risk Factors in Asian Indians in North India.
    Vikram NK; Latifi AN; Misra A; Luthra K; Bhatt SP; Guleria R; Pandey RM
    Metab Syndr Relat Disord; 2016 Dec; 14(10):492-499. PubMed ID: 27740885
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cut-off points for anthropometric indices to screen for hypertension among Iranian adults of the Bandare-Kong cohort: a cross-sectional study.
    Azarbad A; Aghnia T; Gharibzadeh A; Rafati S; Hashemi SM; Zarei H; Kheirandish M
    BMC Public Health; 2022 Nov; 22(1):2064. PubMed ID: 36369024
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [The optimal cut-off values of body fat percentage in adults among Chinese three provinces].
    Fan D; Su C; Du W; Wang H; Wang Z; Zhang B
    Wei Sheng Yan Jiu; 2018 Mar; 47(2):228-231. PubMed ID: 29903273
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Association between anthropometric indicators of obesity and cardiovascular risk factors among adults in Shanghai, China.
    Zhang Y; Gu Y; Wang N; Zhao Q; Ng N; Wang R; Zhou X; Jiang Y; Wang W; Zhao G
    BMC Public Health; 2019 Aug; 19(1):1035. PubMed ID: 31375086
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Population-based references for waist and hip circumferences, waist-to-hip and waist-to-height ratios for children and adolescents, and evaluation of their predictive ability.
    Kułaga Z; Świąder-Leśniak A; Kotowska A; Litwin M
    Eur J Pediatr; 2023 Jul; 182(7):3217-3229. PubMed ID: 37140701
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Association between obesity indicators and cardiovascular risk factors among adults in low-income Han Chinese from southwest China.
    Wang K; Pan L; Wang D; Dong F; Yu Y; Wang L; Li L; Liu T; Sun L; Zhu G; Feng K; Xu K; Pang X; Chen T; Pan H; Ma J; Zhong Y; Shan G
    Medicine (Baltimore); 2020 Jul; 99(30):e20176. PubMed ID: 32791656
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of the ability to identify arterial stiffness between two new anthropometric indices and classical obesity indices in Chinese adults.
    Zhang J; Fang L; Qiu L; Huang L; Zhu W; Yu Y
    Atherosclerosis; 2017 Aug; 263():263-271. PubMed ID: 28704699
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of the ability to identify cardiometabolic risk factors between two new body indices and waist-to-height ratio among Chinese adults with normal BMI and waist circumference.
    Liu PJ; Ma F; Lou HP; Zhu YN
    Public Health Nutr; 2017 Apr; 20(6):984-991. PubMed ID: 27989263
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Anthropometric indicators of obesity for identifying cardiometabolic risk factors in a rural Bangladeshi population.
    Bhowmik B; Munir SB; Diep LM; Siddiquee T; Habib SH; Samad MA; Azad Khan AK; Hussain A
    J Diabetes Investig; 2013 Jul; 4(4):361-8. PubMed ID: 24843680
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Differences between anthropometric indices in predicting dyslipidemia in Chinese urban adult population and finding optimal cut-off points].
    Zhang J; Zhao A; Tan S; Zhao W; Wang Y; Li T; Szeto IM; Zhang Y
    Wei Sheng Yan Jiu; 2018 Mar; 47(2):212-217. PubMed ID: 29903271
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Predicting cardiometabolic disturbances from waist-to-height ratio: findings from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline.
    Castanheira M; Chor D; Braga JU; Cardoso LO; Griep RH; Molina MDCB; da Fonseca MJM
    Public Health Nutr; 2018 Apr; 21(6):1028-1035. PubMed ID: 29310740
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.