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PUBMED FOR HANDHELDS

Journal Abstract Search


716 related items for PubMed ID: 16531910

  • 1. Predictive validity of three ActiGraph energy expenditure equations for children.
    Trost SG, Way R, Okely AD.
    Med Sci Sports Exerc; 2006 Feb; 38(2):380-7. PubMed ID: 16531910
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  • 2. Simplification of the method of assessing daily and nightly energy expenditure in children, using heart rate monitoring calibrated against open circuit indirect calorimetry.
    Beghin L, Budniok T, Vaksman G, Boussard-Delbecque L, Michaud L, Turck D, Gottrand F.
    Clin Nutr; 2000 Dec; 19(6):425-35. PubMed ID: 11104594
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  • 6. Energy cost in children assessed by multisensor activity monitors.
    Arvidsson D, Slinde F, Larsson S, Hulthén L.
    Med Sci Sports Exerc; 2009 Mar; 41(3):603-11. PubMed ID: 19204590
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  • 9. Evaluation of low-intensity physical activity by triaxial accelerometry.
    Midorikawa T, Tanaka S, Kaneko K, Koizumi K, Ishikawa-Takata K, Futami J, Tabata I.
    Obesity (Silver Spring); 2007 Dec; 15(12):3031-8. PubMed ID: 18198312
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  • 10. Energy expenditure of walking at different intensities in Brazilian college women.
    Anjos LA, Wahrlich V, Bossan FM, Salies MN, Silva PB.
    Clin Nutr; 2008 Feb; 27(1):121-5. PubMed ID: 17981375
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  • 13. Step counting and energy expenditure estimation in patients with chronic obstructive pulmonary disease and healthy elderly: accuracy of 2 motion sensors.
    Furlanetto KC, Bisca GW, Oldemberg N, Sant'anna TJ, Morakami FK, Camillo CA, Cavalheri V, Hernandes NA, Probst VS, Ramos EM, Brunetto AF, Pitta F.
    Arch Phys Med Rehabil; 2010 Feb; 91(2):261-7. PubMed ID: 20159131
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  • 17. Accurate prediction of energy expenditure using a shoe-based activity monitor.
    Sazonova N, Browning RC, Sazonov E.
    Med Sci Sports Exerc; 2011 Jul; 43(7):1312-21. PubMed ID: 21131868
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  • 20. Triaxial accelerometry for assessment of physical activity in young children.
    Tanaka C, Tanaka S, Kawahara J, Midorikawa T.
    Obesity (Silver Spring); 2007 May; 15(5):1233-41. PubMed ID: 17495200
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