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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

213 related items for PubMed ID: 16015141

  • 1. Predicting walking METs and energy expenditure from speed or accelerometry.
    Brooks AG, Gunn SM, Withers RT, Gore CJ, Plummer JL.
    Med Sci Sports Exerc; 2005 Jul; 37(7):1216-23. PubMed ID: 16015141
    [Abstract] [Full Text] [Related]

  • 2. Self-selected exercise intensity during household/garden activities and walking in 55 to 65-year-old females.
    Withers RT, Brooks AG, Gunn SM, Plummer JL, Gore CJ, Cormack J.
    Eur J Appl Physiol; 2006 Jul; 97(4):494-504. PubMed ID: 16767444
    [Abstract] [Full Text] [Related]

  • 3. Measurement and prediction of METs during household activities in 35- to 45-year-old females.
    Brooks AG, Withers RT, Gore CJ, Vogler AJ, Plummer J, Cormack J.
    Eur J Appl Physiol; 2004 May; 91(5-6):638-48. PubMed ID: 14685864
    [Abstract] [Full Text] [Related]

  • 4. The energy cost of household and garden activities in 55- to 65-year-old males.
    Gunn SM, Brooks AG, Withers RT, Gore CJ, Plummer JL, Cormack J.
    Eur J Appl Physiol; 2005 Jul; 94(4):476-86. PubMed ID: 15815941
    [Abstract] [Full Text] [Related]

  • 5. Measurement and prediction of energy expenditure in males during household and garden tasks.
    Gunn SM, van der Ploeg GE, Withers RT, Gore CJ, Owen N, Bauman AE, Cormack J.
    Eur J Appl Physiol; 2004 Jan; 91(1):61-70. PubMed ID: 12955520
    [Abstract] [Full Text] [Related]

  • 6. Determining energy expenditure during some household and garden tasks.
    Gunn SM, Brooks AG, Withers RT, Gore CJ, Owen N, Booth ML, Bauman AE.
    Med Sci Sports Exerc; 2002 May; 34(5):895-902. PubMed ID: 11984312
    [Abstract] [Full Text] [Related]

  • 7. The validity of the Computer Science and Applications activity monitor for use in coronary artery disease patients during level walking.
    Ekelund U, Tingström P, Kamwendo K, Krantz M, Nylander E, Sjöström M, Bergdahl B.
    Clin Physiol Funct Imaging; 2002 Jul; 22(4):248-53. PubMed ID: 12402446
    [Abstract] [Full Text] [Related]

  • 8. Measuring moderate-intensity walking in older adults using the ActiGraph accelerometer.
    Barnett A, van den Hoek D, Barnett D, Cerin E.
    BMC Geriatr; 2016 Dec 08; 16(1):211. PubMed ID: 27931188
    [Abstract] [Full Text] [Related]

  • 9. Predicting metabolic rate during level and uphill outdoor walking using a low-cost GPS receiver.
    de Müllenheim PY, Dumond R, Gernigon M, Mahé G, Lavenu A, Bickert S, Prioux J, Noury-Desvaux B, Le Faucheur A.
    J Appl Physiol (1985); 2016 Aug 01; 121(2):577-88. PubMed ID: 27402559
    [Abstract] [Full Text] [Related]

  • 10. Validity of the Apple iPhone® /iPod Touch® as an accelerometer-based physical activity monitor: a proof-of-concept study.
    Nolan M, Mitchell JR, Doyle-Baker PK.
    J Phys Act Health; 2014 May 01; 11(4):759-69. PubMed ID: 23575387
    [Abstract] [Full Text] [Related]

  • 11. The energy cost of horizontal walking and running in adolescents.
    Walker JL, Murray TD, Jackson AS, Morrow JR, Michaud TJ.
    Med Sci Sports Exerc; 1999 Feb 01; 31(2):311-22. PubMed ID: 10063822
    [Abstract] [Full Text] [Related]

  • 12. Estimating energy expenditure from raw accelerometry in three types of locomotion.
    Brandes M, VAN Hees VT, Hannöver V, Brage S.
    Med Sci Sports Exerc; 2012 Nov 01; 44(11):2235-42. PubMed ID: 22776868
    [Abstract] [Full Text] [Related]

  • 13. Using GPS, accelerometry and heart rate to predict outdoor graded walking energy expenditure.
    de Müllenheim PY, Chaudru S, Emily M, Gernigon M, Mahé G, Bickert S, Prioux J, Noury-Desvaux B, Le Faucheur A.
    J Sci Med Sport; 2018 Feb 01; 21(2):166-172. PubMed ID: 29110991
    [Abstract] [Full Text] [Related]

  • 14. Objectively measured physical activity in patients with end stage knee or hip osteoarthritis.
    Holsgaard-Larsen A, Roos EM.
    Eur J Phys Rehabil Med; 2012 Dec 01; 48(4):577-85. PubMed ID: 22641252
    [Abstract] [Full Text] [Related]

  • 15. Metabolic rate and accelerometer output during walking in people with Down syndrome.
    Agiovlasitis S, Motl RW, Fahs CA, Ranadive SM, Yan H, Echols GH, Rossow L, Fernhall B.
    Med Sci Sports Exerc; 2011 Jul 01; 43(7):1322-7. PubMed ID: 21200346
    [Abstract] [Full Text] [Related]

  • 16. METs and accelerometry of walking in older adults: standard versus measured energy cost.
    Hall KS, Howe CA, Rana SR, Martin CL, Morey MC.
    Med Sci Sports Exerc; 2013 Mar 01; 45(3):574-82. PubMed ID: 23059862
    [Abstract] [Full Text] [Related]

  • 17. Prediction of energy expenditure from wrist accelerometry in people with and without Down syndrome.
    Agiovlasitis S, Motl RW, Foley JT, Fernhall B.
    Adapt Phys Activ Q; 2012 Apr 01; 29(2):179-90. PubMed ID: 22467836
    [Abstract] [Full Text] [Related]

  • 18. Predictive validity of three ActiGraph energy expenditure equations for children.
    Trost SG, Way R, Okely AD.
    Med Sci Sports Exerc; 2006 Feb 01; 38(2):380-7. PubMed ID: 16531910
    [Abstract] [Full Text] [Related]

  • 19. Evaluation of an activity monitor for use in pregnancy to help reduce excessive gestational weight gain.
    Lemmens PMC, Sartor F, Cox LGE, den Boer SV, Westerink JHDM.
    BMC Pregnancy Childbirth; 2018 Jul 31; 18(1):312. PubMed ID: 30064390
    [Abstract] [Full Text] [Related]

  • 20. Assessment of energy expenditure in children using the RT3 accelerometer.
    Kavouras SA, Sarras SE, Tsekouras YE, Sidossis LS.
    J Sports Sci; 2008 Jul 31; 26(9):959-66. PubMed ID: 18569562
    [Abstract] [Full Text] [Related]

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