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274 related items for PubMed ID: 15162135

  • 1. Comparison of anthropometry to DXA: a new prediction equation for men.
    Ball SD, Altena TS, Swan PD.
    Eur J Clin Nutr; 2004 Nov; 58(11):1525-31. PubMed ID: 15162135
    [Abstract] [Full Text] [Related]

  • 2. Comparison of anthropometry to dual energy X-ray absorptiometry: a new prediction equation for women.
    Ball S, Swan PD, DeSimone R.
    Res Q Exerc Sport; 2004 Sep; 75(3):248-58. PubMed ID: 15487289
    [Abstract] [Full Text] [Related]

  • 3. Assessing body composition among 3- to 8-year-old children: anthropometry, BIA, and DXA.
    Eisenmann JC, Heelan KA, Welk GJ.
    Obes Res; 2004 Oct; 12(10):1633-40. PubMed ID: 15536227
    [Abstract] [Full Text] [Related]

  • 4. Use of anthropometric variables to predict relative body fat determined by a four-compartment body composition model.
    van der Ploeg GE, Gunn SM, Withers RT, Modra AC.
    Eur J Clin Nutr; 2003 Aug; 57(8):1009-16. PubMed ID: 12879096
    [Abstract] [Full Text] [Related]

  • 5. Prediction of percentage body fat in rural thai population using simple anthropometric measurements.
    Pongchaiyakul C, Kosulwat V, Rojroongwasinkul N, Charoenkiatkul S, Thepsuthammarat K, Laopaiboon M, Nguyen TV, Rajatanavin R.
    Obes Res; 2005 Apr; 13(4):729-38. PubMed ID: 15897482
    [Abstract] [Full Text] [Related]

  • 6. The validity of predicted body fat percentage from body mass index and from impedance in samples of five European populations.
    Deurenberg P, Andreoli A, Borg P, Kukkonen-Harjula K, de Lorenzo A, van Marken Lichtenbelt WD, Testolin G, Vigano R, Vollaard N.
    Eur J Clin Nutr; 2001 Nov; 55(11):973-9. PubMed ID: 11641746
    [Abstract] [Full Text] [Related]

  • 7. Validation of DXA body composition estimates in obese men and women.
    LaForgia J, Dollman J, Dale MJ, Withers RT, Hill AM.
    Obesity (Silver Spring); 2009 Apr; 17(4):821-6. PubMed ID: 19131939
    [Abstract] [Full Text] [Related]

  • 8. Estimates of percentage body fat in young adolescents: a comparison of dual-energy X-ray absorptiometry and air displacement plethysmography.
    Radley D, Gately PJ, Cooke CB, Carroll S, Oldroyd B, Truscott JG.
    Eur J Clin Nutr; 2003 Nov; 57(11):1402-10. PubMed ID: 14576753
    [Abstract] [Full Text] [Related]

  • 9. Validity of segmental multiple-frequency bioelectrical impedance analysis to estimate body composition of adults across a range of body mass indexes.
    Shafer KJ, Siders WA, Johnson LK, Lukaski HC.
    Nutrition; 2009 Jan; 25(1):25-32. PubMed ID: 18723322
    [Abstract] [Full Text] [Related]

  • 10. Improved prediction of body fat by measuring skinfold thickness, circumferences, and bone breadths.
    Garcia AL, Wagner K, Hothorn T, Koebnick C, Zunft HJ, Trippo U.
    Obes Res; 2005 Mar; 13(3):626-34. PubMed ID: 15833949
    [Abstract] [Full Text] [Related]

  • 11. Validity of optical device lipometer and bioelectric impedance analysis for body fat assessment in men and women.
    Jürimäe T, Sudi K, Jürimäe J, Payerl D, Möller R, Tafeit E.
    Coll Antropol; 2005 Dec; 29(2):499-502. PubMed ID: 16417151
    [Abstract] [Full Text] [Related]

  • 12. Body fat measurement in adolescents: comparison of skinfold thickness equations with dual-energy X-ray absorptiometry.
    Rodríguez G, Moreno LA, Blay MG, Blay VA, Fleta J, Sarría A, Bueno M, AVENA-Zaragoza Study Group.
    Eur J Clin Nutr; 2005 Oct; 59(10):1158-66. PubMed ID: 16047030
    [Abstract] [Full Text] [Related]

  • 13. Body composition assessment in adults with cystic fibrosis: comparison of dual-energy X-ray absorptiometry with skinfolds and bioelectrical impedance analysis.
    King S, Wilson J, Kotsimbos T, Bailey M, Nyulasi I.
    Nutrition; 2005 Oct; 21(11-12):1087-94. PubMed ID: 16183254
    [Abstract] [Full Text] [Related]

  • 14. Body fat measurement in adolescent athletes: multicompartment molecular model comparison.
    Silva AM, Minderico CS, Teixeira PJ, Pietrobelli A, Sardinha LB.
    Eur J Clin Nutr; 2006 Aug; 60(8):955-64. PubMed ID: 16523205
    [Abstract] [Full Text] [Related]

  • 15. 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; 16(2):451-6. PubMed ID: 18239658
    [Abstract] [Full Text] [Related]

  • 16. [An anthropometric equation for the determination of the percentage of body fat in young men from the Canarian population].
    López Calbet JA, Armengol Ramos O, Chavarren Cabrero J, Dorado García C.
    Med Clin (Barc); 1997 Feb 15; 108(6):207-13. PubMed ID: 9102485
    [Abstract] [Full Text] [Related]

  • 17. Prediction of visceral fat area in Japanese adults: proposal of prediction method applicable in a field setting.
    Demura S, Sato S.
    Eur J Clin Nutr; 2007 Jun 15; 61(6):727-35. PubMed ID: 17180157
    [Abstract] [Full Text] [Related]

  • 18. Prediction of percent body fat in adult males using dual energy x-ray absorptiometry, skinfolds, and hydrostatic weighing.
    Clark RR, Kuta JM, Sullivan JC.
    Med Sci Sports Exerc; 1993 Apr 15; 25(4):528-35. PubMed ID: 8479309
    [Abstract] [Full Text] [Related]

  • 19. Percentage fat in overweight and obese children: comparison of DXA and air displacement plethysmography.
    Radley D, Gately PJ, Cooke CB, Carroll S, Oldroyd B, Truscott JG.
    Obes Res; 2005 Jan 15; 13(1):75-85. PubMed ID: 15761165
    [Abstract] [Full Text] [Related]

  • 20. New body fat prediction equations for severely obese patients.
    Horie LM, Barbosa-Silva MC, Torrinhas RS, de Mello MT, Cecconello I, Waitzberg DL.
    Clin Nutr; 2008 Jun 15; 27(3):350-6. PubMed ID: 18501481
    [Abstract] [Full Text] [Related]

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