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1112 related items for PubMed ID: 29143718

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. [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
    [Abstract] [Full Text] [Related]

  • 3. Association of body mass index and waist circumference with type 2 diabetes mellitus in older adults: a cross-sectional study.
    Bai K, Chen X, Song R, Shi W, Shi S.
    BMC Geriatr; 2022 Jun 07; 22(1):489. PubMed ID: 35672667
    [Abstract] [Full Text] [Related]

  • 4. Comparison of Different Obesity Indices for Predicting Incident Hypertension.
    Janghorbani M, Aminorroaya A, Amini M.
    High Blood Press Cardiovasc Prev; 2017 Jun 07; 24(2):157-166. PubMed ID: 28160265
    [Abstract] [Full Text] [Related]

  • 5. Association of the Clínica Universidad de Navarra-Body Adiposity Estimator With Type 2 Diabetes: A Retrospective Cohort Study.
    Geng S, Chen X, Bai K, Ding J, Li H, Shi S.
    Int J Public Health; 2023 Jun 07; 68():1606063. PubMed ID: 37810434
    [Abstract] [Full Text] [Related]

  • 6. A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China.
    Chang Y, Guo X, Chen Y, Guo L, Li Z, Yu S, Yang H, Sun Y.
    BMC Public Health; 2015 Aug 19; 15():794. PubMed ID: 26286520
    [Abstract] [Full Text] [Related]

  • 7. Comparison of obesity indicators for predicting cardiovascular risk factors and multimorbidity among the Chinese population based on ROC analysis.
    Feng X, Zhu J, Hua Z, Yao S, Tong H.
    Sci Rep; 2024 Sep 09; 14(1):20942. PubMed ID: 39251694
    [Abstract] [Full Text] [Related]

  • 8. Risk of breast, endometrial, colorectal, and renal cancers in postmenopausal women in association with a body shape index and other anthropometric measures.
    Kabat GC, Xue X, Kamensky V, Lane D, Bea JW, Chen C, Qi L, Stefanick ML, Chlebowski RT, Wactawski-Wende J, Wassertheil-Smoller S, Rohan TE.
    Cancer Causes Control; 2015 Feb 09; 26(2):219-229. PubMed ID: 25430815
    [Abstract] [Full Text] [Related]

  • 9. 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 09; 114():112135. PubMed ID: 37453224
    [Abstract] [Full Text] [Related]

  • 10. 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 17; 18(1):218. PubMed ID: 30223783
    [Abstract] [Full Text] [Related]

  • 11. Predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease: a cohort study in rural Xinjiang, China.
    Wu T, Wei B, Song YP, Zhang XH, Yan YZ, Wang XP, Ma JL, Keerman M, Zhang JY, He J, Ma RL, Guo H, Rui DS, Guo SX.
    Ann Hum Biol; 2022 Feb 17; 49(1):27-34. PubMed ID: 35254201
    [Abstract] [Full Text] [Related]

  • 12. 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 20; 6(1):e009266. PubMed ID: 26792214
    [Abstract] [Full Text] [Related]

  • 13. Anthropometric discriminators of type 2 diabetes among White and Black American adults.
    Hardy DS, Stallings DT, Garvin JT, Gachupin FC, Xu H, Racette SB.
    J Diabetes; 2017 Mar 20; 9(3):296-307. PubMed ID: 27106521
    [Abstract] [Full Text] [Related]

  • 14. 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 31; 20(1):1317. PubMed ID: 32867710
    [Abstract] [Full Text] [Related]

  • 15. Comparison of body mass index, waist circumference, conicity index, and waist-to-height ratio for predicting incidence of hypertension: the rural Chinese cohort study.
    Chen X, Liu Y, Sun X, Yin Z, Li H, Deng K, Cheng C, Liu L, Luo X, Zhang R, Liu F, Zhou Q, Wang C, Li L, Zhang L, Wang B, Zhao Y, Zhou J, Han C, Zhang H, Yang X, Pang C, Yin L, Feng T, Zhao J, Zhang M, Hu D.
    J Hum Hypertens; 2018 Mar 31; 32(3):228-235. PubMed ID: 29416119
    [Abstract] [Full Text] [Related]

  • 16. Body mass index, waist circumference, hip circumference, waist-hip-ratio and waist-height-ratio: which is the better discriminator of prevalent screen-detected diabetes in a Cameroonian population?
    Mbanya VN, Kengne AP, Mbanya JC, Akhtar H.
    Diabetes Res Clin Pract; 2015 Apr 31; 108(1):23-30. PubMed ID: 25700625
    [Abstract] [Full Text] [Related]

  • 17. Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio.
    Amirabdollahian F, Haghighatdoost F.
    J Obes; 2018 Apr 31; 2018():8370304. PubMed ID: 30515323
    [Abstract] [Full Text] [Related]

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  • 19. Anthropometric Indices in Adults: Which Is the Best Indicator to Identify Alanine Aminotransferase Levels?
    Chen S, Guo X, Yu S, Zhou Y, Li Z, Sun Y.
    Int J Environ Res Public Health; 2016 Feb 18; 13(2):226. PubMed ID: 26901214
    [Abstract] [Full Text] [Related]

  • 20. 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; 2016 Feb 18; 28(2):92-99. PubMed ID: 27701484
    [Abstract] [Full Text] [Related]

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