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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

192 related articles for article (PubMed ID: 28387566)

  • 41. Food intake response to exercise and active video gaming in adolescents: effect of weight status.
    Chaput JP; Tremblay A; Pereira B; Boirie Y; Duclos M; Thivel D
    Br J Nutr; 2016 Feb; 115(3):547-53. PubMed ID: 26596899
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Metabolic responses of upper-body accelerometer-controlled video games in adults.
    Stroud LC; Amonette WE; Dupler TL
    Appl Physiol Nutr Metab; 2010 Oct; 35(5):643-9. PubMed ID: 20962920
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Agreement between the Apple Series 1, LifeTrak Core C200, and Fitbit Charge HR with Indirect Calorimetry for Assessing Treadmill Energy Expenditure.
    Zhang P; Burns RD; Fu Y; Godin S; Byun W
    Int J Environ Res Public Health; 2019 Oct; 16(20):. PubMed ID: 31658628
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Actigraph GT3X: validation and determination of physical activity intensity cut points.
    Santos-Lozano A; Santín-Medeiros F; Cardon G; Torres-Luque G; Bailón R; Bergmeir C; Ruiz JR; Lucia A; Garatachea N
    Int J Sports Med; 2013 Nov; 34(11):975-82. PubMed ID: 23700330
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Use of heart rate to predict energy expenditure from low to high activity levels.
    Hiilloskorpi HK; Pasanen ME; Fogelholm MG; Laukkanen RM; Mänttäri AT
    Int J Sports Med; 2003 Jul; 24(5):332-6. PubMed ID: 12868043
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Is playing exergames really exercising? A meta-analysis of energy expenditure in active video games.
    Peng W; Lin JH; Crouse J
    Cyberpsychol Behav Soc Netw; 2011 Nov; 14(11):681-8. PubMed ID: 21668370
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Accelerometry-based method for assessing energy expenditure in patients with diabetes during walking.
    Caron N; Peyrot N; Caderby T; Verkindt C; Dalleau G
    J Hum Nutr Diet; 2019 Aug; 32(4):531-534. PubMed ID: 30916423
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Exploring Energy Expenditure and Body Movement of Exergaming in Children of Different Weight Status.
    Hwang J; Lee IM; Fernandez AM; Hillman CH; Lu AS
    Pediatr Exerc Sci; 2019 Nov; 31(4):438-447. PubMed ID: 31394495
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Validity of SenseWear® Armband v5.2 and v2.2 for estimating energy expenditure.
    Bhammar DM; Sawyer BJ; Tucker WJ; Lee JM; Gaesser GA
    J Sports Sci; 2016 Oct; 34(19):1830-8. PubMed ID: 26854829
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Multivariate adaptive regression splines models for the prediction of energy expenditure in children and adolescents.
    Zakeri IF; Adolph AL; Puyau MR; Vohra FA; Butte NF
    J Appl Physiol (1985); 2010 Jan; 108(1):128-36. PubMed ID: 19892930
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Energetic cost of physical activity in cystic fibrosis children during Pseudomonas aeruginosa pulmonary exacerbation.
    Béghin L; Gottrand F; Michaud L; Vodougnon H; Wizla-Derambure N; Hankard R; Husson MO; Turck D
    Clin Nutr; 2005 Feb; 24(1):88-96. PubMed ID: 15681106
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Daily energy expenditure and its main components as measured by whole-body indirect calorimetry in athletic and non-athletic adolescents.
    Ribeyre J; Fellmann N; Montaurier C; Delaître M; Vernet J; Coudert J; Vermorel M
    Br J Nutr; 2000 Apr; 83(4):355-62. PubMed ID: 10858693
    [TBL] [Abstract][Full Text] [Related]  

  • 53. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Large Estimate Variations in Assessed Energy Expenditure and Physical Activity Levels during Active Virtual Reality Gaming: A Short Report.
    Johansen JM; Schutte KVI; Bratland-Sanda S
    Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36674301
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Assessment of laboratory and daily energy expenditure estimates from consumer multi-sensor physical activity monitors.
    Chowdhury EA; Western MJ; Nightingale TE; Peacock OJ; Thompson D
    PLoS One; 2017; 12(2):e0171720. PubMed ID: 28234979
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Laboratory-based and free-living algorithms for energy expenditure estimation in preschool children: A free-living evaluation.
    Ahmadi MN; Chowdhury A; Pavey T; Trost SG
    PLoS One; 2020; 15(5):e0233229. PubMed ID: 32433717
    [TBL] [Abstract][Full Text] [Related]  

  • 57. The effect of exergaming on vascular function in children.
    Mills A; Rosenberg M; Stratton G; Carter HH; Spence AL; Pugh CJ; Green DJ; Naylor LH
    J Pediatr; 2013 Sep; 163(3):806-10. PubMed ID: 23684507
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Estimating relative physical workload using heart rate monitoring: a validation by whole-body indirect calorimetry.
    Garet M; Boudet G; Montaurier C; Vermorel M; Coudert J; Chamoux A
    Eur J Appl Physiol; 2005 May; 94(1-2):46-53. PubMed ID: 15609030
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Measurements of Heart Rate and Accelerometry to Determine the Physical Activity Level in Boys Playing Paintball.
    Jarvi M; Brown GA; Shaw BS; Shaw I
    Int J Exerc Sci; 2013; 6(3):199-207. PubMed ID: 27182396
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Estimation of energy expenditure in a work environment: comparison of accelerometry and oxygen consumption/heart rate regression.
    Bouchard DR; Trudeau F
    Ergonomics; 2008 May; 51(5):663-70. PubMed ID: 18432444
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.