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 *

143 related articles for article (PubMed ID: 21334088)

  • 1. Comparison of different anthropometric measures as predictors of diabetes incidence in a Chinese population.
    Jia Z; Zhou Y; Liu X; Wang Y; Zhao X; Wang Y; Liang W; Wu S
    Diabetes Res Clin Pract; 2011 May; 92(2):265-71. PubMed ID: 21334088
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 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. The performance of anthropometric measures to predict diabetes mellitus and hypertension among adults in Jordan.
    Khader Y; Batieha A; Jaddou H; El-Khateeb M; Ajlouni K
    BMC Public Health; 2019 Oct; 19(1):1416. PubMed ID: 31664979
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Is waist circumference a better predictor of diabetes than body mass index or waist-to-height ratio in Iranian adults?
    Hajian-Tilaki K; Heidari B
    Int J Prev Med; 2015; 6():5. PubMed ID: 25789140
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Waist-to-height ratio, an optimal predictor for obesity and metabolic syndrome in Chinese adults.
    Shao J; Yu L; Shen X; Li D; Wang K
    J Nutr Health Aging; 2010 Nov; 14(9):782-5. PubMed ID: 21085910
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices: the China Health and Nutrition Survey, 2008 to 2009.
    Tian S; Zhang X; Xu Y; Dong H
    Medicine (Baltimore); 2016 Aug; 95(34):e4642. PubMed ID: 27559964
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of the Ability of Anthropometric Indices to Predict the Risk of Diabetes Mellitus in South African Males: SANHANES-1.
    Sekgala MD; Sewpaul R; Opperman M; Mchiza ZJ
    Int J Environ Res Public Health; 2022 Mar; 19(6):. PubMed ID: 35328910
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cut-off values for anthropometric variables that confer increased risk of type 2 diabetes mellitus and hypertension in Iraq.
    Mansour AA; Al-Jazairi MI
    Arch Med Res; 2007 Feb; 38(2):253-8. PubMed ID: 17227737
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessing different anthropometric indices and their optimal cutoffs for prediction of type 2 diabetes and impaired fasting glucose in Asians: The Jinchang Cohort Study.
    Ding J; Chen X; Bao K; Yang J; Liu N; Huang W; Huang P; Huang J; Jiang N; Cao J; Cheng N; Wang M; Hu X; Zheng S; Bai Y
    J Diabetes; 2020 May; 12(5):372-384. PubMed ID: 31642584
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Assessing temporal differences of baseline body mass index, waist circumference, and waist-height ratio in predicting future diabetes.
    Sheng G; Qiu J; Kuang M; Peng N; Xie G; Chen Y; Zhang S; Zou Y
    Front Endocrinol (Lausanne); 2022; 13():1020253. PubMed ID: 36686484
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Anthropometric markers and their association with incident type 2 diabetes mellitus: which marker is best for prediction? Pooled analysis of four German population-based cohort studies and comparison with a nationwide cohort study.
    Hartwig S; Kluttig A; Tiller D; Fricke J; Müller G; Schipf S; Völzke H; Schunk M; Meisinger C; Schienkiewitz A; Heidemann C; Moebus S; Pechlivanis S; Werdan K; Kuss O; Tamayo T; Haerting J; Greiser KH
    BMJ Open; 2016 Jan; 6(1):e009266. PubMed ID: 26792214
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. The discriminatory performance of body mass index, waist circumference, waist-to-hip ratio and waist-to-height ratio for detection of metabolic syndrome and their optimal cutoffs among Iranian adults.
    Hajian-Tilaki K; Heidari B; Hajian-Tilaki A; Firouzjahi A; Bagherzadeh M
    J Res Health Sci; 2014; 14(4):276-81. PubMed ID: 25503283
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Waist circumference and waist-to-height ratio as predictors of cardiovascular disease risk in Korean adults.
    Park SH; Choi SJ; Lee KS; Park HY
    Circ J; 2009 Sep; 73(9):1643-50. PubMed ID: 19638708
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.