BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 35088498)

  • 1. Waist circumference thresholds predicting incident dysglycaemia and type 2 diabetes in Black African men and women.
    Goedecke JH; Nguyen KA; Kufe C; Masemola M; Chikowore T; Mendham AE; Norris SA; Crowther NJ; Karpe F; Olsson T; Kengne AP; Micklesfield LK
    Diabetes Obes Metab; 2022 May; 24(5):918-927. PubMed ID: 35088498
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of waist-to-height ratio to predict 5 year cardiometabolic risk in sub-Saharan African adults.
    Ware LJ; Rennie KL; Kruger HS; Kruger IM; Greeff M; Fourie CM; Huisman HW; Scheepers JD; Uys AS; Kruger R; Van Rooyen JM; Schutte R; Schutte AE
    Nutr Metab Cardiovasc Dis; 2014 Aug; 24(8):900-7. PubMed ID: 24675009
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The current waist circumference cut point used for the diagnosis of metabolic syndrome in sub-Saharan African women is not appropriate.
    Crowther NJ; Norris SA
    PLoS One; 2012; 7(11):e48883. PubMed ID: 23145009
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Long-term risk of incident type 2 diabetes and measures of overall and regional obesity: the EPIC-InterAct case-cohort study.
    ; Langenberg C; Sharp SJ; Schulze MB; Rolandsson O; Overvad K; Forouhi NG; Spranger J; Drogan D; Huerta JM; Arriola L; de Lauzon-Guillan B; Tormo MJ; Ardanaz E; Balkau B; Beulens JW; Boeing H; Bueno-de-Mesquita HB; Clavel-Chapelon F; Crowe FL; Franks PW; Gonzalez CA; Grioni S; Halkjaer J; Hallmans G; Kaaks R; Kerrison ND; Key TJ; Khaw KT; Mattiello A; Nilsson P; Norat T; Palla L; Palli D; Panico S; Quirós JR; Romaguera D; Romieu I; Sacerdote C; Sánchez MJ; Slimani N; Sluijs I; Spijkerman AM; Teucher B; Tjonneland A; Tumino R; van der A DL; van der Schouw YT; Feskens EJ; Riboli E; Wareham NJ
    PLoS Med; 2012; 9(6):e1001230. PubMed ID: 22679397
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identifying obesity indicators which best correlate with type 2 diabetes in a Chinese population.
    Xin Z; Liu C; Niu WY; Feng JP; Zhao L; Ma YH; Hua L; Yang JK
    BMC Public Health; 2012 Sep; 12():732. PubMed ID: 22937748
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Anthropometric cutoff values for predicting metabolic syndrome in a Saudi community: from the SAUDI-DM study.
    Al-Rubean K; Youssef AM; AlFarsi Y; Al-Sharqawi AH; Bawazeer N; AlOtaibi MT; AlRumaih FI; Zaidi MS
    Ann Saudi Med; 2017; 37(1):21-30. PubMed ID: 28151453
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Determining the waist circumference cut off which best predicts the metabolic syndrome components in urban Africans: the SABPA study.
    Prinsloo J; Malan L; de Ridder JH; Potgieter JC; Steyn HS
    Exp Clin Endocrinol Diabetes; 2011 Nov; 119(10):599-603. PubMed ID: 22068551
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Obesity index that better predict metabolic syndrome: body mass index, waist circumference, waist hip ratio, or waist height ratio.
    Bener A; Yousafzai MT; Darwish S; Al-Hamaq AO; Nasralla EA; Abdul-Ghani M
    J Obes; 2013; 2013():269038. PubMed ID: 24000310
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessing prediction of diabetes in older adults using different adiposity measures: a 7 year prospective study in 6,923 older men and women.
    Wannamethee SG; Papacosta O; Whincup PH; Carson C; Thomas MC; Lawlor DA; Ebrahim S; Sattar N
    Diabetologia; 2010 May; 53(5):890-8. PubMed ID: 20146052
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ethnicity-specific obesity cut-points in the development of Type 2 diabetes - a prospective study including three ethnic groups in the United Kingdom.
    Tillin T; Sattar N; Godsland IF; Hughes AD; Chaturvedi N; Forouhi NG
    Diabet Med; 2015 Feb; 32(2):226-34. PubMed ID: 25186015
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Concordance of glycaemic and cardiometabolic traits between Indian women with history of gestational diabetes mellitus and their spouses: an opportunity to target the household.
    Goyal A; Gupta Y; Kalaivani M; Sankar MJ; Kachhawa G; Bhatla N; Gupta N; Tandon N
    Diabetologia; 2019 Aug; 62(8):1357-1365. PubMed ID: 31104096
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Body mass index, waist circumference and waist-to-height ratio associated with the incidence of type 2 diabetes mellitus: a cohort study].
    Yang XY; Zhang M; Luo XP; Wang JJ; Yin L; Pang C; Wang GA; Shen YX; Wu DT; Zhang L; Ren YC; Wang BY; Zhang HY; Zhou JM; Han CY; Zhao Y; Feng TP; Hu DS; Zhao JZ
    Zhonghua Yu Fang Yi Xue Za Zhi; 2016 Apr; 50(4):328-33. PubMed ID: 27029364
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Waist circumference percentile criteria for the pediatric metabolic syndrome in Korean adolescents.
    Lee K
    Asia Pac J Clin Nutr; 2008; 17(3):422-8. PubMed ID: 18818162
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Ethnic-specific BMI and waist circumference thresholds.
    Katzmarzyk PT; Bray GA; Greenway FL; Johnson WD; Newton RL; Ravussin E; Ryan DH; Bouchard C
    Obesity (Silver Spring); 2011 Jun; 19(6):1272-8. PubMed ID: 21212770
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The correlation between waist circumference and ESC cardiovascular risk score: data from the German metabolic and cardiovascular risk project (GEMCAS).
    Schunkert H; Moebus S; Hanisch J; Bramlage P; Steinhagen-Thiessen E; Hauner H; Weil J; Wasem J; Jöckel KH
    Clin Res Cardiol; 2008 Nov; 97(11):827-35. PubMed ID: 18648725
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Optimal waist circumference threshold for diagnosing metabolic syndrome in African people living with HIV infection.
    Nguyen KA; Peer N; de Villiers A; Mukasa B; Matsha TE; Mills EJ; Kengne AP
    PLoS One; 2017; 12(9):e0183029. PubMed ID: 28886047
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Optimal cutoff values of waist circumference and the discriminatory performance of other anthropometric indices to detect the clustering of cardiovascular risk factors for metabolic syndrome in Japanese men and women.
    Nakamura K; Nanri H; Hara M; Higaki Y; Imaizumi T; Taguchi N; Sakamoto T; Horita M; Shinchi K; Tanaka K
    Environ Health Prev Med; 2011 Jan; 16(1):52-60. PubMed ID: 21432217
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.