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PUBMED FOR HANDHELDS

Journal Abstract Search


173 related items for PubMed ID: 29650347

  • 1. Risk modeling in prospective diabetes studies: Association and predictive value of anthropometrics.
    Jafari-Koshki T, Arsang-Jang S, Aminorroaya A, Mansourian M, Amini M.
    Diabetes Metab Syndr; 2018 Jul; 12(4):563-567. PubMed ID: 29650347
    [Abstract] [Full Text] [Related]

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

  • 3. 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]

  • 4. 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
    [Abstract] [Full Text] [Related]

  • 5. 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
    [Abstract] [Full Text] [Related]

  • 6. 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 Jun; 28(2):92-99. PubMed ID: 27701484
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  • 8. 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 Jun; 2021():8812431. PubMed ID: 34056007
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  • 9. 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
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  • 11. 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 29; 19(1):1416. PubMed ID: 31664979
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  • 13. 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
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  • 15. 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 09; 19(6):. PubMed ID: 35328910
    [Abstract] [Full Text] [Related]

  • 16. 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 05; 18(1):691. PubMed ID: 29866083
    [Abstract] [Full Text] [Related]

  • 17. Markers of adiposity in HIV/AIDS patients: Agreement between waist circumference, waist-to-hip ratio, waist-to-height ratio and body mass index.
    Dimala CA, Ngu RC, Kadia BM, Tianyi FL, Choukem SP.
    PLoS One; 2018 Jun 05; 13(3):e0194653. PubMed ID: 29566089
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  • 18. 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 Jun 05; 17(3):e0265228. PubMed ID: 35275976
    [Abstract] [Full Text] [Related]

  • 19. 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 05; 33(12):1437-45. PubMed ID: 19752876
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  • 20. New indexes of body fat distribution and sex-specific risk of total and cause-specific mortality: a prospective cohort study.
    Rost S, Freuer D, Peters A, Thorand B, Holle R, Linseisen J, Meisinger C.
    BMC Public Health; 2018 Apr 02; 18(1):427. PubMed ID: 29609587
    [Abstract] [Full Text] [Related]


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