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 *

309 related articles for article (PubMed ID: 33583819)

  • 1. Comparison of anthropometric indices as predictors of the risk factors for cardiovascular disease in Iran: The PERSIAN Guilan Cohort Study.
    Mahdavi-Roshan M; Rezazadeh A; Joukar F; Naghipour M; Hassanipour S; Mansour-Ghanaei F
    Anatol J Cardiol; 2021 Feb; 25(2):120-128. PubMed ID: 33583819
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Association of anthropometric indices with cardiovascular disease risk factors among adults: a study in Iran.
    Tabary M; Cheraghian B; Mohammadi Z; Rahimi Z; Naderian MR; Danehchin L; Paridar Y; Abolnejadian F; Noori M; Mard SA; Masoudi S; Araghi F; Shayesteh AA; Poustchi H
    Eur J Cardiovasc Nurs; 2021 May; 20(4):358-366. PubMed ID: 33620478
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The role of anthropometric indices in the prediction of non-alcoholic fatty liver disease in the PERSIAN Guilan Cohort study (PGCS).
    Mansour-Ghanaei R; Mansour-Ghanaei F; Naghipour M; Joukar F; Atrkar-Roushan Z; Tabatabaii M; Ghorani N
    J Med Life; 2018; 11(3):194-202. PubMed ID: 30364682
    [No Abstract]   [Full Text] [Related]  

  • 6. Comparison of Body Mass Index (BMI), Body Adiposity Index (BAI), Waist Circumference (WC), Waist-To-Hip Ratio (WHR) and Waist-To-Height Ratio (WHtR) as predictors of cardiovascular disease risk factors in an adult population in Singapore.
    Lam BC; Koh GC; Chen C; Wong MT; Fallows SJ
    PLoS One; 2015; 10(4):e0122985. PubMed ID: 25880905
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Appropriate cutoff values of anthropometric variables to predict cardiovascular outcomes: 7.6 years follow-up in an Iranian population.
    Hadaegh F; Zabetian A; Sarbakhsh P; Khalili D; James WP; Azizi F
    Int J Obes (Lond); 2009 Dec; 33(12):1437-45. PubMed ID: 19752876
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of anthropometric indices (body mass index, waist circumference, waist to hip ratio and waist to height ratio) in predicting risk of type II diabetes in the population of Yazd, Iran.
    Mirzaei M; Khajeh M
    Diabetes Metab Syndr; 2018 Sep; 12(5):677-682. PubMed ID: 29680518
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Anthropometric measures as predictors of cardiovascular disease risk factors in the urban population of Iran.
    Gharakhanlou R; Farzad B; Agha-Alinejad H; Steffen LM; Bayati M
    Arq Bras Cardiol; 2012 Feb; 98(2):126-35. PubMed ID: 22231916
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Anthropometric indices predicting incident hypertension in an Iranian population: The Isfahan cohort study.
    Sadeghi M; Talaei M; Gharipour M; Oveisgharan S; Nezafati P; Dianatkhah M; Sarrafzadegan N
    Anatol J Cardiol; 2019 Jun; 22(1):33-43. PubMed ID: 31264654
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Degree of association between the body mass index (BMI), waist-hip ratio (WHR), waist-height ratio (WHtR), body adiposity index (BAI) and conicity index (CI) in physically active older adults.
    Cancela-Carral JM; Bezerra P; Lopez-Rodriguez A; Silva B
    Clin Nutr ESPEN; 2023 Dec; 58():335-341. PubMed ID: 38057024
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The development of cardiovascular disease in relation to anthropometric indices and hypertension in British adults.
    Cox BD; Whichelow MJ; Prevost AT
    Int J Obes Relat Metab Disord; 1998 Oct; 22(10):966-73. PubMed ID: 9806311
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using different anthropometric indices to assess prediction ability of type 2 diabetes in elderly population: a 5 year prospective study.
    Yang J; Wang F; Wang J; Han X; Hu H; Yu C; Yuan J; Yao P; Miao X; Wei S; Wang Y; Chen W; Liang Y; Guo H; Zhang X; Zheng D; Tang Y; Yang H; He M
    BMC Geriatr; 2018 Sep; 18(1):218. PubMed ID: 30223783
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Association between anthropometric measures and cardiovascular disease (CVD) risk factors in Hainan centenarians: investigation based on the Centenarian's health study.
    Zhu Q; Wang XB; Yao Y; Ning CX; Chen XP; Luan FX; Zhao YL
    BMC Cardiovasc Disord; 2018 May; 18(1):73. PubMed ID: 29716519
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Obesity diagnosis and mortality risk based on a body shape index (ABSI) and other indices and anthropometric parameters in university students.
    Gažarová M; Galšneiderová M; Mečiarová L
    Rocz Panstw Zakl Hig; 2019; 70(3):267-275. PubMed ID: 31515986
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of a new body shape index and body adiposity estimator for development of type 2 diabetes mellitus: The Rural Chinese Cohort Study.
    Han C; Liu Y; Sun X; Luo X; Zhang L; Wang B; Ren Y; Zhou J; Zhao Y; Zhang D; Liu X; Zhang M; Hu D
    Br J Nutr; 2017 Nov; 118(10):771-776. PubMed ID: 29143718
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.