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Journal Abstract Search

122 related items for PubMed ID: 31507076

  • 21. Associations of body adiposity index, waist circumference, and body mass index in young adults.
    Fedewa MV, Nickerson BS, Esco MR.
    Clin Nutr; 2019 Apr; 38(2):715-720. PubMed ID: 29653863
    [Abstract] [Full Text] [Related]

  • 22. Surface-Based Body Shape Index and Its Relationship with All-Cause Mortality.
    Rahman SA, Adjeroh D.
    PLoS One; 2015 Apr; 10(12):e0144639. PubMed ID: 26709925
    [Abstract] [Full Text] [Related]

  • 23. 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]

  • 24. Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices: the China Health and Nutrition Survey, 2008 to 2009.
    Tian S, Zhang X, Xu Y, Dong H.
    Medicine (Baltimore); 2016 Aug; 95(34):e4642. PubMed ID: 27559964
    [Abstract] [Full Text] [Related]

  • 25. Comparison of Body Mass Index (BMI), Body Adiposity Index (BAI), Waist Circumference (WC), Waist-To-Hip Ratio (WHR) and Waist-To-Height Ratio (WHtR) as predictors of cardiovascular disease risk factors in an adult population in Singapore.
    Lam BC, Koh GC, Chen C, Wong MT, Fallows SJ.
    PLoS One; 2015 Aug; 10(4):e0122985. PubMed ID: 25880905
    [Abstract] [Full Text] [Related]

  • 26. Why are there race/ethnic differences in adult body mass index-adiposity relationships? A quantitative critical review.
    Heymsfield SB, Peterson CM, Thomas DM, Heo M, Schuna JM.
    Obes Rev; 2016 Mar; 17(3):262-75. PubMed ID: 26663309
    [Abstract] [Full Text] [Related]

  • 27. Cut-off points for anthropometric indices of adiposity: differential classification in a large population of young women.
    Duggleby SL, Jackson AA, Godfrey KM, Robinson SM, Inskip HM, Southampton Women's Survey Study Group.
    Br J Nutr; 2009 Feb; 101(3):424-30. PubMed ID: 18634708
    [Abstract] [Full Text] [Related]

  • 28. Longitudinal association of measures of adiposity with serum antioxidant concentrations in postmenopausal women.
    Kabat GC, Heo M, Ochs-Balcom HM, LeBoff MS, Mossavar-Rahmani Y, Adams-Campbell LL, Nassir R, Ard J, Zaslavsky O, Rohan TE.
    Eur J Clin Nutr; 2016 Jan; 70(1):47-53. PubMed ID: 26014267
    [Abstract] [Full Text] [Related]

  • 29. Comparison of body adiposity indices in predicting blood pressure and hypertension among slum-dwelling men in Kolkata, India.
    Chakraborty R, Bose K.
    Malays J Nutr; 2012 Dec; 18(3):319-28. PubMed ID: 24568072
    [Abstract] [Full Text] [Related]

  • 30. 10-Year Changes in Adiposity in Cameroon School-Age Children: Evidence for Increasing Central Adiposity and Higher Adiposity Levels in Tallest-for-Age Children.
    Navti LK, Foudjo BUS.
    J Obes; 2021 Dec; 2021():6866911. PubMed ID: 34691777
    [Abstract] [Full Text] [Related]

  • 31. Surrogate markers of visceral adiposity in young adults: waist circumference and body mass index are more accurate than waist hip ratio, model of adipose distribution and visceral adiposity index.
    Borruel S, Moltó JF, Alpañés M, Fernández-Durán E, Álvarez-Blasco F, Luque-Ramírez M, Escobar-Morreale HF.
    PLoS One; 2014 Dec; 9(12):e114112. PubMed ID: 25479351
    [Abstract] [Full Text] [Related]

  • 32. Obesity among postmenopausal women: what is the best anthropometric index to assess adiposity and success of weight-loss intervention?
    Ghachem A, Marcotte-Chénard A, Tremblay D, Prud'homme D, Rabasa-Lhoret R, Riesco E, Brochu M, Dionne IJ.
    Menopause; 2021 Mar 01; 28(6):678-685. PubMed ID: 33651744
    [Abstract] [Full Text] [Related]

  • 33. Adiposity phenotypes are associated with type-2 diabetes: LAP index, body adiposity index, and neck circumference.
    Marcadenti A, Fuchs FD, Moreira LB, Gus M, Fuchs SC.
    Atherosclerosis; 2017 Nov 01; 266():145-150. PubMed ID: 29028482
    [Abstract] [Full Text] [Related]

  • 34. Usefulness of the Waist Circumference-to-Height Ratio in Screening for Obesity and Metabolic Syndrome among Korean Children and Adolescents: Korea National Health and Nutrition Examination Survey, 2010-2014.
    Choi DH, Hur YI, Kang JH, Kim K, Cho YG, Hong SM, Cho EB.
    Nutrients; 2017 Mar 10; 9(3):. PubMed ID: 28287410
    [Abstract] [Full Text] [Related]

  • 35. Body mass index, waist circumference, and waist-to-height ratio as predictors of cardiometabolic risk in childhood obesity depending on pubertal development.
    Blüher S, Molz E, Wiegand S, Otto KP, Sergeyev E, Tuschy S, L'Allemand-Jander D, Kiess W, Holl RW, Adiposity Patients Registry Initiative and German Competence Net Obesity.
    J Clin Endocrinol Metab; 2013 Aug 10; 98(8):3384-93. PubMed ID: 23775352
    [Abstract] [Full Text] [Related]

  • 36. Neck circumference: a useful screening tool of cardiovascular risk in children.
    Androutsos O, Grammatikaki E, Moschonis G, Roma-Giannikou E, Chrousos GP, Manios Y, Kanaka-Gantenbein C.
    Pediatr Obes; 2012 Jun 10; 7(3):187-95. PubMed ID: 22505226
    [Abstract] [Full Text] [Related]

  • 37. 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]

  • 38. A composite score combining waist circumference and body mass index more accurately predicts body fat percentage in 6- to 13-year-old children.
    Aeberli I, Gut-Knabenhans M, Kusche-Ammann RS, Molinari L, Zimmermann MB.
    Eur J Nutr; 2013 Feb 17; 52(1):247-53. PubMed ID: 22322925
    [Abstract] [Full Text] [Related]

  • 39. Prediction of total and visceral fat contents using anthropometric measures of adiposity in women.
    Weerarathna TP, Lekamwasam S, Rodrigo M.
    Ceylon Med J; 2008 Dec 17; 53(4):128-32. PubMed ID: 19189790
    [Abstract] [Full Text] [Related]

  • 40. Comparison of anthropometric and body composition measures as predictors of components of the metabolic syndrome in a clinical setting.
    Mooney SJ, Baecker A, Rundle AG.
    Obes Res Clin Pract; 2013 Dec 17; 7(1):e55-66. PubMed ID: 24331682
    [Abstract] [Full Text] [Related]

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