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Journal Abstract Search

297 related items for PubMed ID: 35254201

  • 21. Cardiovascular and all-cause mortality in relation to various anthropometric measures of obesity in Europeans.
    Song X, Jousilahti P, Stehouwer CD, Söderberg S, Onat A, Laatikainen T, Yudkin JS, Dankner R, Morris R, Tuomilehto J, Qiao Q, DECODE Study Group.
    Nutr Metab Cardiovasc Dis; 2015 Mar; 25(3):295-304. PubMed ID: 25315666
    [Abstract] [Full Text] [Related]

  • 22. 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]

  • 23. Weight-adjusted waist index as a practical predictor for diabetes, cardiovascular disease, and non-accidental mortality risk.
    Liu S, Yu J, Wang L, Zhang X, Wang F, Zhu Y.
    Nutr Metab Cardiovasc Dis; 2024 Nov 22; 34(11):2498-2510. PubMed ID: 39117486
    [Abstract] [Full Text] [Related]

  • 24. Association between anthropometric indices and hyperuricemia: a nationwide study in China.
    Chen D, Lu C, Chen K, Liu T, Li Y, Shan Z, Teng W, Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE).
    Clin Rheumatol; 2024 Mar 22; 43(3):907-920. PubMed ID: 38315297
    [Abstract] [Full Text] [Related]

  • 25. 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]

  • 26. 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 Sep 17; 17(3):e0265228. PubMed ID: 35275976
    [Abstract] [Full Text] [Related]

  • 27. Novel anthropometric measures are positively associated with erectile dysfunction: a cross-sectional study.
    Lin W, Lin ME.
    Int Urol Nephrol; 2024 Mar 17; 56(3):855-865. PubMed ID: 37843775
    [Abstract] [Full Text] [Related]

  • 28. Body fat anthropometric indexes: Which of those identify better high cardiovascular risk subjects? A comparative study in Spanish population.
    Corbatón Anchuelo A, Martínez-Larrad MT, Serrano-García I, Fernández Pérez C, Serrano-Ríos M.
    PLoS One; 2019 Mar 17; 14(5):e0216877. PubMed ID: 31120940
    [Abstract] [Full Text] [Related]

  • 29. 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; 2019 Mar 17; 28(2):92-99. PubMed ID: 27701484
    [Abstract] [Full Text] [Related]

  • 30. Is Waist-to-Height Ratio Superior to Body Mass Index and Waist Circumference in Predicting the Incidence of Hypertension?
    Li N, Yang T, Yu WQ, Liu H.
    Ann Nutr Metab; 2019 Mar 17; 74(3):215-223. PubMed ID: 30889583
    [Abstract] [Full Text] [Related]

  • 31. Obesity and cardiovascular disease risk among Africans residing in Europe and Africa: the RODAM study.
    Commodore-Mensah Y, Agyemang C, Aboagye JA, Echouffo-Tcheugui JB, Beune E, Smeeth L, Klipstein-Grobusch K, Danquah I, Schulze M, Boateng D, Meeks KAC, Bahendeka S, Ahima RS.
    Obes Res Clin Pract; 2020 Mar 17; 14(2):151-157. PubMed ID: 32061582
    [Abstract] [Full Text] [Related]

  • 32. Comparison of Different Obesity Indices for Predicting Incident Hypertension.
    Janghorbani M, Aminorroaya A, Amini M.
    High Blood Press Cardiovasc Prev; 2017 Jun 17; 24(2):157-166. PubMed ID: 28160265
    [Abstract] [Full Text] [Related]

  • 33. 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]

  • 34. Anthropometric indicators and cardiovascular diseases risk in pre-diabetic and diabetic adults: NHANES 1999-2018 cross-sectional analysis.
    He Y, Shi L.
    Exp Gerontol; 2024 Sep 02; 194():112516. PubMed ID: 38977206
    [Abstract] [Full Text] [Related]

  • 35. Predictive Values of Anthropometric Measurements for Cardiometabolic Risk Factors and Cardiovascular Diseases Among 44 048 Chinese.
    Liu J, Tse LA, Liu Z, Rangarajan S, Hu B, Yin L, Leong DP, Li W, PURE (Prospective Urban Rural Epidemiology) study in China.
    J Am Heart Assoc; 2019 Aug 20; 8(16):e010870. PubMed ID: 31394972
    [Abstract] [Full Text] [Related]

  • 36. Weight-to-height ratio and body roundness index are superior indicators to assess cardio-metabolic risks in Chinese children and adolescents: compared with body mass index and a body shape index.
    Chen R, Ji L, Chen Y, Meng L.
    Transl Pediatr; 2022 Mar 20; 11(3):318-329. PubMed ID: 35378962
    [Abstract] [Full Text] [Related]

  • 37. A Body Shape Index versus Traditional Anthropometric Parameters to Identify Subclinical Atherosclerosis in Perimenopausal/Menopausal Women.
    Nimkuntod P, Tongdee P.
    J Med Assoc Thai; 2016 Oct 20; 99 Suppl 7():S81-6. PubMed ID: 29901934
    [Abstract] [Full Text] [Related]

  • 38. Association between anthropometric indicators of obesity and cardiovascular risk factors among adults in Shanghai, China.
    Zhang Y, Gu Y, Wang N, Zhao Q, Ng N, Wang R, Zhou X, Jiang Y, Wang W, Zhao G.
    BMC Public Health; 2019 Aug 02; 19(1):1035. PubMed ID: 31375086
    [Abstract] [Full Text] [Related]

  • 39. [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 02; 50(4):328-33. PubMed ID: 27029364
    [Abstract] [Full Text] [Related]

  • 40. Degree of association between the body mass index (BMI), waist-hip ratio (WHR), waist-height ratio (WHtR), body adiposity index (BAI) and conicity index (CI) in physically active older adults.
    Cancela-Carral JM, Bezerra P, Lopez-Rodriguez A, Silva B.
    Clin Nutr ESPEN; 2023 Dec 02; 58():335-341. PubMed ID: 38057024
    [Abstract] [Full Text] [Related]

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