These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

222 related items for PubMed ID: 18702849

  • 1. Cross-validation of generalised body composition equations with diverse young men and women: the Training Intervention and Genetics of Exercise Response (TIGER) Study.
    Jackson AS, Ellis KJ, McFarlin BK, Sailors MH, Bray MS.
    Br J Nutr; 2009 Mar; 101(6):871-8. PubMed ID: 18702849
    [Abstract] [Full Text] [Related]

  • 2.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 3. Predicting fat percent by skinfolds in racial groups: Durnin and Womersley revisited.
    Davidson LE, Wang J, Thornton JC, Kaleem Z, Silva-Palacios F, Pierson RN, Heymsfield SB, Gallagher D.
    Med Sci Sports Exerc; 2011 Mar; 43(3):542-9. PubMed ID: 20689462
    [Abstract] [Full Text] [Related]

  • 4. Body mass index bias in defining obesity of diverse young adults: the Training Intervention and Genetics of Exercise Response (TIGER) study.
    Jackson AS, Ellis KJ, McFarlin BK, Sailors MH, Bray MS.
    Br J Nutr; 2009 Oct; 102(7):1084-90. PubMed ID: 19344545
    [Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6. A comparison of prediction equations for the estimation of body fat percentage in non-obese and obese older Caucasian adults in the United States.
    Chambers AJ, Parise E, McCrory JL, Cham R.
    J Nutr Health Aging; 2014 Oct; 18(6):586-90. PubMed ID: 24950148
    [Abstract] [Full Text] [Related]

  • 7. Comparison of DXA, Siri's 2C, and Lohman' s Db-mineral models for estimating the body fat of physically active adults.
    Gibson AL, Heyward VH, Mermier CM, Janot JM, Wilmerding MV.
    Int J Sport Nutr Exerc Metab; 2004 Dec; 14(6):657-72. PubMed ID: 15657471
    [Abstract] [Full Text] [Related]

  • 8.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 9.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 10. Body composition changes by DXA, BIA and skinfolds during exercise training in women.
    Sillanpää E, Häkkinen A, Häkkinen K.
    Eur J Appl Physiol; 2013 Sep; 113(9):2331-41. PubMed ID: 23748419
    [Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 12. Agreement between laboratory methods and the 4-compartment model in assessing fat mass in obese older Hispanic-American adults.
    González-Arellanes R, Urquidez-Romero R, Rodríguez-Tadeo A, Esparza-Romero J, Méndez-Estrada RO, Ramírez-López E, Robles-Sardin AE, Pacheco-Moreno BI, Alemán-Mateo H.
    Clin Nutr; 2021 May; 40(5):3592-3600. PubMed ID: 33419614
    [Abstract] [Full Text] [Related]

  • 13.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 15.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 16. Comparison of Bioelectrical Impedance Analysis, Slaughter Skinfold-Thickness Equations, and Dual-Energy X-ray Absorptiometry for Estimating Body Fat Percentage in Colombian Children and Adolescents with Excess of Adiposity.
    González-Ruíz K, Medrano M, Correa-Bautista JE, García-Hermoso A, Prieto-Benavides DH, Tordecilla-Sanders A, Agostinis-Sobrinho C, Correa-Rodríguez M, Schmidt Rio-Valle J, González-Jiménez E, Ramírez-Vélez R.
    Nutrients; 2018 Aug 14; 10(8):. PubMed ID: 30110944
    [Abstract] [Full Text] [Related]

  • 17.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 12.