BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

763 related articles for article (PubMed ID: 22998969)

  • 1. Prevalence of diabetes and predictions of its risks using anthropometric measures in southwest rural areas of China.
    Zhao X; Zhu X; Zhang H; Zhao W; Li J; Shu Y; Li S; Yang M; Cai L; Zhou J; Li Y
    BMC Public Health; 2012 Sep; 12():821. PubMed ID: 22998969
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China.
    Zhang FL; Ren JX; Zhang P; Jin H; Qu Y; Yu Y; Guo ZN; Yang Y
    J Diabetes Res; 2021; 2021():8812431. PubMed ID: 34056007
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identical anthropometric characteristics of impaired fasting glucose combined with impaired glucose tolerance and newly diagnosed type 2 diabetes: anthropometric indicators to predict hyperglycaemia in a community-based prospective cohort study in southwest China.
    Zhang F; Wan Q; Cao H; Tang L; Li D; Lü Q; Yan Z; Li J; Yang Q; Zhang Y; Tong N
    BMJ Open; 2018 May; 8(5):e019735. PubMed ID: 29743321
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Waist/height ratio as a better predictor of type 2 diabetes compared to body mass index in Tehranian adult men--a 3.6-year prospective study.
    Hadaegh F; Zabetian A; Harati H; Azizi F
    Exp Clin Endocrinol Diabetes; 2006 Jun; 114(6):310-5. PubMed ID: 16868890
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A comparative evaluation of waist circumference, waist-to-hip ratio, waist-to-height ratio and body mass index as indicators of impaired glucose tolerance and as risk factors for type-2 diabetes mellitus.
    Łopatyński J; Mardarowicz G; Szcześniak G
    Ann Univ Mariae Curie Sklodowska Med; 2003; 58(1):413-9. PubMed ID: 15315025
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. [Screen value of anthropometric indices for hyperglycemia].
    Liu X; Li S; Zhang Y
    Wei Sheng Yan Jiu; 2012 Nov; 41(6):986-91, 1008. PubMed ID: 23424882
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evaluation of anthropometric indices as a predictor of diabetes in Dong and Miao ethnicities in China: A cross-sectional analysis of China Multi-Ethnic Cohort Study.
    Yang Q; Liu Y; Jin Z; Liu L; Yuan Z; Xu D; Hong F
    PLoS One; 2022; 17(3):e0265228. PubMed ID: 35275976
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Waist-to-height ratio is a better obesity index than body mass index and waist-to-hip ratio for predicting diabetes, hypertension and lipidemia.
    Sayeed MA; Mahtab H; Latif ZA; Khanam PA; Ahsan KA; Banu A; Azad Khan AK
    Bangladesh Med Res Counc Bull; 2003 Apr; 29(1):1-10. PubMed ID: 14674615
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Anthropometric indices of obesity and type 2 diabetes in Bangladeshi population: Chandra Rural Diabetes Study (CRDS).
    Bhowmik B; Munir SB; Ahmed KR; Siddiquee T; Diep LM; Wright E; Hassan Z; Debnath PR; Mahtab H; Azad Khan AK; Hussain A
    Obes Res Clin Pract; 2014; 8(3):e201-98. PubMed ID: 24847663
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. New anthropometric indices or old ones: which perform better in estimating cardiovascular risks in Chinese adults.
    Wang F; Chen Y; Chang Y; Sun G; Sun Y
    BMC Cardiovasc Disord; 2018 Jan; 18(1):14. PubMed ID: 29378513
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Association between anthropometric measures of obesity and subclinical atherosclerosis in Bangladesh.
    Ge W; Parvez F; Wu F; Islam T; Ahmed A; Shaheen I; Sarwar G; Demmer RT; Desvarieux M; Ahsan H; Chen Y
    Atherosclerosis; 2014 Jan; 232(1):234-41. PubMed ID: 24401245
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Waist-to-Height Ratio and Triglycerides/High-Density Lipoprotein Cholesterol Were the Optimal Predictors of Metabolic Syndrome in Uighur Men and Women in Xinjiang, China.
    Chen BD; Yang YN; Ma YT; Pan S; He CH; Liu F; Ma X; Fu ZY; Li XM; Xie X; Zheng YY
    Metab Syndr Relat Disord; 2015 Jun; 13(5):214-20. PubMed ID: 25781351
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Waist to height ratio: a better anthropometric marker of diabetes and cardio-metabolic risks in South Asian adults.
    Jayawardana R; Ranasinghe P; Sheriff MH; Matthews DR; Katulanda P
    Diabetes Res Clin Pract; 2013 Mar; 99(3):292-9. PubMed ID: 23298662
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Waist circumference, waist-hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults.
    Dalton M; Cameron AJ; Zimmet PZ; Shaw JE; Jolley D; Dunstan DW; Welborn TA;
    J Intern Med; 2003 Dec; 254(6):555-63. PubMed ID: 14641796
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Relationship between anthropometric measures and the prevalence of diabetes in adults of Suzhou city, Jiangsu province].
    Tao R; Du H; Zhou J; Su J; Yang J; Hu Y; Ma L; Zhou R; Bian Z; Guo Y; Chen Z; Li L; Wu M
    Zhonghua Liu Xing Bing Xue Za Zhi; 2014 Dec; 35(12):1337-42. PubMed ID: 25623450
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 39.