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John M. Schuna Jr., Tiago V. Barreira, Daniel S. Hsia, William D. Johnson and Catrine Tudor-Locke


Energy expenditure (EE) estimates for a broad age range of youth performing a variety of activities are needed.


106 participants (6–18 years) completed 6 free-living activities (seated rest, movie watching, coloring, stair climbing, basketball dribbling, jumping jacks) and up to 9 treadmill walking bouts (13.4 to 120.7 m/min; 13.4 m/min increments). Breath-by-breath oxygen uptake (VO2) was measured using the COSMED K4b2 and EE was quantified as youth metabolic equivalents (METy1:VO2/measured resting VO2, METy2:VO2/estimated resting VO2). Age trends were evaluated with ANOVA.


Seated movie watching produced the lowest mean METy1 (6- to 9-year-olds: 0.94 ± 0.13) and METy2 values (13- to 15-year-olds: 1.10 ± 0.19), and jumping jacks produced the highest mean METy1 (13- to 15-year-olds: 6.89 ± 1.47) and METy2 values (16- to 18-year-olds: 8.61 ± 2.03). Significant age-related variability in METy1 and METy2 were noted for 8 and 2 of the 15 evaluated activities, respectively.


Descriptive EE data presented herein will augment the Youth Compendium of Physical Activities.

Open access

Keishi Soga, Keita Kamijo and Hiroaki Masaki

coupled to gait cycle phase during treadmill walking . Neuroimage, 54 ( 2 ), 1289 – 1296 . PubMed doi:10.1016/j.neuroimage.2010.08.066 10.1016/j.neuroimage.2010.08.066 Herzmann , G. , Jin , M. , Cordes , D. , & Curran , T. ( 2012 ). A within-subject ERP and fMRI investigation of orientation

Open access

Ignacio Perez-Pozuelo, Thomas White, Kate Westgate, Katrien Wijndaele, Nicholas J. Wareham and Soren Brage

non-dominant wrist. This subsample constitutes the sampling frame for the current analyses. Participants were excluded from this analysis if they had insufficient individual calibration (treadmill test-based) data, or had less than 72 hours of concurrent wear data (equivalent of three full days of

Open access

Matthew Pearce, Tom R.P. Bishop, Stephen Sharp, Kate Westgate, Michelle Venables, Nicholas J. Wareham and Søren Brage

, United Kingdom. We randomly split this dataset into five subsamples to represent five independent validation studies. Participants attended our research facility and completed RPAQ ( Besson et al., 2010 ) and underwent treadmill testing for individual calibration ( Brage et al., 2007 ) whilst fitted with

Open access

Mette Rørth, Tine Tjørnhøj-Thomsen, Prue Cormie, John L. Oliffe and Julie Midtgaard

of a football injury?,” one man responded: “Yeah, that was actually what I was talking about, a bit more [proud] than if you had fallen off the treadmill.” (Mikkel, 69 years old). Another focus group participant noted: “Yeah, at least it’s a better story to tell, you know? It’s more honourable

Open access

Dawn C. Mackey, Alexander D. Perkins, Kaitlin Hong Tai, Joanie Sims-Gould and Heather A. McKay

, and ice hockey. d Includes hiking, canoeing, jogging, pool walking, boxing, chair exercises at home, kayaking, skating, skip rope, snow shoeing, tennis, and treadmill at home. Destinations most commonly selected for active transportation in personal action plans were parks ( n  = 10, 36%), cities ( n

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Baruch Vainshelboim, Zhongming Chen, Ricardo M. Lima and Jonathan Myers

, USA. All participants who underwent a treadmill exercise test at the Veterans Affairs Palo Alto Health Care System between 1987 and 2014 were considered for inclusion. Clinical information on diagnoses, risk factors, and health behaviors (smoking, alcohol, and drug abuse) was collected at the time of

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Kelly R. Evenson and Camden L. Spade

/run safely on treadmill and around an indoor track, does not use a walking aid, not pregnant, does not have an implanted electromagnetic device S 1 10 Boudreaux et al. ( 2018 ) Hammond, Louisiana, USA 50 (V) 56 Females 22.7 (3.0), Males 22.0 (2.7), All 18–35 Females 25.8 (4.8), Males 27.1 (3.6) October 2015

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Greg Petrucci Jr., Patty Freedson, Brittany Masteller, Melanna Cox, John Staudenmayer and John Sirard

repeated treadmill conditions were 0.91, 0.92, and 0.98 for hip, wrist, and ankle wear-locations, respectively ( Hickey, Mendoza, & Freedson, 2015 ). The ability of the MS to produce increased step counts with increased intensity suggests it may be sensitive in detecting change in activity over time

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Amanda L. Penko, Jacob E. Barkley, Anson B. Rosenfeldt and Jay L. Alberts

by the Elderly . Dan Med Bull . 1987 ; 34 ( suppl 4 ): 1 – 24 . 30. Barkley JE , Glickman E , Fennell C , Kobak M , Williamson M , Farnell M . The validity of a commercially-available, low-cost, wrist-mounted accelerometer during treadmill exercise and free-living physical