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Journal Abstract Search

783 related items for PubMed ID: 26435103

  • 1. Derivation and validation of simple anthropometric equations to predict adipose tissue mass and total fat mass with MRI as the reference method.
    Al-Gindan YY, Hankey CR, Govan L, Gallagher D, Heymsfield SB, Lean ME.
    Br J Nutr; 2015 Dec 14; 114(11):1852-67. PubMed ID: 26435103
    [Abstract] [Full Text] [Related]

  • 2. Development and validation of anthropometric prediction equations for lean body mass, fat mass and percent fat in adults using the National Health and Nutrition Examination Survey (NHANES) 1999-2006.
    Lee DH, Keum N, Hu FB, Orav EJ, Rimm EB, Sun Q, Willett WC, Giovannucci EL.
    Br J Nutr; 2017 Nov 14; 118(10):858-866. PubMed ID: 29110742
    [Abstract] [Full Text] [Related]

  • 3. Derivation and validation of simple equations to predict total muscle mass from simple anthropometric and demographic data.
    Al-Gindan YY, Hankey C, Govan L, Gallagher D, Heymsfield SB, Lean ME.
    Am J Clin Nutr; 2014 Oct 14; 100(4):1041-51. PubMed ID: 25240071
    [Abstract] [Full Text] [Related]

  • 4. Is it possible to derive a reliable estimate of human visceral and subcutaneous abdominal adipose tissue from simple anthropometric measurements?
    Bonora E, Micciolo R, Ghiatas AA, Lancaster JL, Alyassin A, Muggeo M, DeFronzo RA.
    Metabolism; 1995 Dec 14; 44(12):1617-25. PubMed ID: 8786733
    [Abstract] [Full Text] [Related]

  • 5. Quantitative analysis of adipose tissue in single transverse slices for estimation of volumes of relevant fat tissue compartments: a study in a large cohort of subjects at risk for type 2 diabetes by MRI with comparison to anthropometric data.
    Schwenzer NF, Machann J, Schraml C, Springer F, Ludescher B, Stefan N, Häring H, Fritsche A, Claussen CD, Schick F.
    Invest Radiol; 2010 Dec 14; 45(12):788-94. PubMed ID: 20829704
    [Abstract] [Full Text] [Related]

  • 6. Estimation of percent body fat based on anthropometric measurements in children and adolescents with congenital adrenal hyperplasia due to 21-hydroxylase deficiency.
    Gonçalves EM, Silva AM, Matias CN, Lemos-Marini SH, Santos AO, Guerra-Júnior G.
    Clin Nutr; 2013 Feb 14; 32(1):45-50. PubMed ID: 22647418
    [Abstract] [Full Text] [Related]

  • 7. Predicting abdominal adipose tissue among women with familial partial lipodystrophy.
    Joy T, Kennedy BA, Al-Attar S, Rutt BK, Hegele RA.
    Metabolism; 2009 Jun 14; 58(6):828-34. PubMed ID: 19375764
    [Abstract] [Full Text] [Related]

  • 8. Subtraction of subcutaneous fat to improve the prediction of visceral adiposity: exploring a new anthropometric track in overweight and obese youth.
    Samouda H, De Beaufort C, Stranges S, Van Nieuwenhuyse JP, Dooms G, Keunen O, Leite S, Vaillant M, Lair ML, Dadoun F.
    Pediatr Diabetes; 2017 Aug 14; 18(5):399-404. PubMed ID: 27400675
    [Abstract] [Full Text] [Related]

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  • 10. Generalised equations for the prediction of percentage body fat by anthropometry in adult men and women aged 18-81 years.
    Leahy S, O'Neill C, Sohun R, Toomey C, Jakeman P.
    Br J Nutr; 2013 Feb 28; 109(4):678-85. PubMed ID: 22640975
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  • 12. The influence of body build on estimates of body composition from anthropometric measurements in premenopausal women.
    Rutishauser IH, Pasco JA, Wheeler CE.
    Eur J Clin Nutr; 1995 Apr 28; 49(4):248-55. PubMed ID: 7796782
    [Abstract] [Full Text] [Related]

  • 13. Predictive equations for body fat and abdominal fat with DXA and MRI as reference in Asian Indians.
    Goel K, Gupta N, Misra A, Poddar P, Pandey RM, Vikram NK, Wasir JS.
    Obesity (Silver Spring); 2008 Feb 28; 16(2):451-6. PubMed ID: 18239658
    [Abstract] [Full Text] [Related]

  • 14. Nationally representative equations that include resistance and reactance for the prediction of percent body fat in Americans.
    Stevens J, Truesdale KP, Cai J, Ou FS, Reynolds KR, Heymsfield SB.
    Int J Obes (Lond); 2017 Nov 28; 41(11):1669-1675. PubMed ID: 28736441
    [Abstract] [Full Text] [Related]

  • 15. Development and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women.
    Kulkarni B, Kuper H, Taylor A, Wells JC, Radhakrishna KV, Kinra S, Ben-Shlomo Y, Smith GD, Ebrahim S, Byrne NM, Hills AP.
    J Appl Physiol (1985); 2013 Oct 15; 115(8):1156-62. PubMed ID: 23950165
    [Abstract] [Full Text] [Related]

  • 16. Predicting body composition by densitometry from simple anthropometric measurements.
    Lean ME, Han TS, Deurenberg P.
    Am J Clin Nutr; 1996 Jan 15; 63(1):4-14. PubMed ID: 8604668
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  • 17. Correlation of fat distribution in whole body MRI with generally used anthropometric data.
    Ludescher B, Machann J, Eschweiler GW, Vanhöfen S, Maenz C, Thamer C, Claussen CD, Schick F.
    Invest Radiol; 2009 Nov 15; 44(11):712-9. PubMed ID: 19809346
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  • 19. Development and validation of anthropometric prediction equations for estimation of body fat in Indonesian men.
    Hastuti J, Kagawa M, Byrne NM, Hills AP.
    Asia Pac J Clin Nutr; 2013 Nov 15; 22(4):522-9. PubMed ID: 24231011
    [Abstract] [Full Text] [Related]

  • 20. Estimation of deep-abdominal-adipose-tissue (DAAT) accumulation from simple anthropometric measurements in Indian men and women.
    Brundavani V, Murthy SR, Kurpad AV.
    Eur J Clin Nutr; 2006 May 15; 60(5):658-66. PubMed ID: 16391572
    [Abstract] [Full Text] [Related]

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