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PUBMED FOR HANDHELDS

Journal Abstract Search


177 related items for PubMed ID: 33709800

  • 21. Body shape index in comparison with other anthropometric measures in prediction of total and cause-specific mortality.
    Dhana K, Kavousi M, Ikram MA, Tiemeier HW, Hofman A, Franco OH.
    J Epidemiol Community Health; 2016 Jan; 70(1):90-6. PubMed ID: 26160362
    [Abstract] [Full Text] [Related]

  • 22. Evaluation of Cardiovascular Risk by Waist-to-Height Ratio in School-Age Children.
    Domingo-Bolio V, Medina-Vera I, Shamah-Levy T, Moreno-Macías L, Avila-Nava A.
    Metab Syndr Relat Disord; 2021 Dec; 19(10):531-536. PubMed ID: 34520256
    [Abstract] [Full Text] [Related]

  • 23. 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]

  • 24. 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 19; 12(5):677-682. PubMed ID: 29680518
    [Abstract] [Full Text] [Related]

  • 25. Untangling Waist Circumference and Hip Circumference from Body Mass Index with a Body Shape Index, Hip Index, and Anthropometric Risk Indicator.
    Krakauer NY, Krakauer JC.
    Metab Syndr Relat Disord; 2018 May 19; 16(4):160-165. PubMed ID: 29649376
    [Abstract] [Full Text] [Related]

  • 26. Comparison of Different Obesity Indices for Predicting Incident Hypertension.
    Janghorbani M, Aminorroaya A, Amini M.
    High Blood Press Cardiovasc Prev; 2017 Jun 19; 24(2):157-166. PubMed ID: 28160265
    [Abstract] [Full Text] [Related]

  • 27. 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 19; 12(4):563-567. PubMed ID: 29650347
    [Abstract] [Full Text] [Related]

  • 28. 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 19; 26(2):219-229. PubMed ID: 25430815
    [Abstract] [Full Text] [Related]

  • 29. Waist-height ratio and waist are the best estimators of visceral fat in type 1 diabetes.
    Parente EB, Mutter S, Harjutsalo V, Ahola AJ, Forsblom C, Groop PH.
    Sci Rep; 2020 Oct 29; 10(1):18575. PubMed ID: 33122731
    [Abstract] [Full Text] [Related]

  • 30. Anthropometric indices in predicting 10-year cardiovascular risk among males and females aged 40-74 years in south and southeast Asia: analysis of 12 WHO STEPS survey data.
    Islam MT, Chowdhury AT, Siraj MS, Md Abdullah AY, Mazumder T, Trask M, Talukder MR, Rahman SM.
    Lancet Reg Health Southeast Asia; 2024 Oct 29; 29():100481. PubMed ID: 39315383
    [Abstract] [Full Text] [Related]

  • 31. Short Stature Modifies the Waist-to-height Ratio cut-off Points as an Indicator of Cardiovascular Risk in Mexican Adult Women and Men.
    Rangel-Baltazar E, Rodríguez-Ramírez S, Cuevas-Nasu L, Shamah-Levy T, Méndez-Gómez-Humarán I, Rivera JA.
    Arch Med Res; 2023 Jul 29; 54(5):102839. PubMed ID: 37385046
    [Abstract] [Full Text] [Related]

  • 32. A body shape index is useful for BMI-independently identifying Japanese patients with obesity at high risk of cardiovascular disease.
    Ikeue K, Kusakabe T, Yamakage H, Ishii K, Satoh-Asahara N.
    Nutr Metab Cardiovasc Dis; 2024 Feb 29; 34(2):387-394. PubMed ID: 37949708
    [Abstract] [Full Text] [Related]

  • 33. Could "a body shape index" and "waist to height ratio" predict insulin resistance and metabolic syndrome in polycystic ovary syndrome?
    Behboudi-Gandevani S, Ramezani Tehrani F, Cheraghi L, Azizi F.
    Eur J Obstet Gynecol Reprod Biol; 2016 Oct 29; 205():110-4. PubMed ID: 27579518
    [Abstract] [Full Text] [Related]

  • 34. Anthropometric parameter that best predict metabolic syndrome in South west Nigeria.
    Adejumo EN, Adejumo AO, Azenabor A, Ekun AO, Enitan SS, Adebola OK, Ogundahunsi OA.
    Diabetes Metab Syndr; 2019 Oct 29; 13(1):48-54. PubMed ID: 30641748
    [Abstract] [Full Text] [Related]

  • 35. Association between anthropometric measures and cardiovascular disease (CVD) risk factors in Hainan centenarians: investigation based on the Centenarian's health study.
    Zhu Q, Wang XB, Yao Y, Ning CX, Chen XP, Luan FX, Zhao YL.
    BMC Cardiovasc Disord; 2018 May 02; 18(1):73. PubMed ID: 29716519
    [Abstract] [Full Text] [Related]

  • 36. Predictive Value of Waist Height Ratio, Waist Hip Ratio and Body Mass Index in Assessing Angiographic Severity of Coronary Artery Disease in Myocardial Infarction Patients.
    Dhar S, Das PK, Bhattacharjee B, Awal A, Ahsan SA, Shakil SS, Ahmed SM, Bashiruddin AB, Mahmud I, Al-Amin M.
    Mymensingh Med J; 2020 Oct 02; 29(4):906-913. PubMed ID: 33116095
    [Abstract] [Full Text] [Related]

  • 37. Association of anthropometric indices with cardiovascular disease risk factors among adults: a study in Iran.
    Tabary M, Cheraghian B, Mohammadi Z, Rahimi Z, Naderian MR, Danehchin L, Paridar Y, Abolnejadian F, Noori M, Mard SA, Masoudi S, Araghi F, Shayesteh AA, Poustchi H.
    Eur J Cardiovasc Nurs; 2021 May 22; 20(4):358-366. PubMed ID: 33620478
    [Abstract] [Full Text] [Related]

  • 38. Performance of Waist-To-Height Ratio, Waist Circumference, and Body Mass Index in Discriminating Cardio-Metabolic Risk Factors in a Sample of School-Aged Mexican Children.
    Aguilar-Morales I, Colin-Ramirez E, Rivera-Mancía S, Vallejo M, Vázquez-Antona C.
    Nutrients; 2018 Dec 01; 10(12):. PubMed ID: 30513720
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  • 39. Effects of a multidisciplinary weight loss intervention in overweight and obese children and adolescents: 11 years of experience.
    Mameli C, Krakauer JC, Krakauer NY, Bosetti A, Ferrari CM, Schneider L, Borsani B, Arrigoni S, Pendezza E, Zuccotti GV.
    PLoS One; 2017 Dec 01; 12(7):e0181095. PubMed ID: 28704494
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  • 40. The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome.
    Suliga E, Ciesla E, Głuszek-Osuch M, Rogula T, Głuszek S, Kozieł D.
    Nutrients; 2019 Oct 29; 11(11):. PubMed ID: 31671800
    [Abstract] [Full Text] [Related]


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