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Melissa Bittner

Edited by Michael Horvat, Luke Kelly, Martin Block, and Ron Croce. Published 2019 by Human Kinetics, Champaign, IL. $67.00 , 280 pp., ISBN 978-1-4925-4380-0 Developmental and Adapted Physical Activity Assessment , by Michael Horvat, Luke Kelly, Martin Block, and Ron Croce, now in its second

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Stamatis Agiovlasitis, Robert W. Motl, John T. Foley and Bo Fernhall

This study examined the relationship between energy expenditure and wrist accelerometer output during walking in persons with and without Down syndrome (DS). Energy expenditure in metabolic equivalent units (METs) and activity-count rate were respectively measured with portable spirometry and a uniaxial wrist accelerometer in 17 persons with DS (age: 24.7 ± 6.9 years; 9 women) and 21 persons without DS (age: 26.3 ± 5.2 years; 12 women) during six over-ground walking trials. Combined groups regression showed that the relationship between METs and activity-count rate differed between groups (p < .001). Separate models for each group included activity-count rate and squared activity-count rate as significant predictors of METs (p ≤ .005). Prediction of METs appeared accurate based on Bland-Altman plots and the lack of between-group difference in mean absolute prediction error (DS: 17.07%; Non-DS: 18.74%). Although persons with DS show altered METs to activity-count rate relationship during walking, prediction of their energy expenditure from wrist accelerometry appears feasible.

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Tina Smith, Sue Reeves, Lewis G. Halsey, Jörg Huber and Jin Luo

adaptation. Generally, pedometers have been regarded as less accurate than accelerometers in physical activity assessment 24 , 25 and are affected by increasing body mass index (BMI) and waist circumference, and greater pedometer tilt in overweight and obese adults leading to an underestimation of actual

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Tracey L. Clissold, Paul W. Winwood, John B. Cronin and Mary Jane De Souza

765 23698245 10.1249/MSS.0b013e31829ba765 21. Weeks BK , Beck BR . The BPAQ: a bone-specific physical activity assessment instrument . Osteoporis Int . 2008 ; 19 ( 11 ): 1567 – 1577 . PubMed doi:10.1007/s00198-008-0606-2 10.1007/s00198-008-0606-2 22. Frost HM . Bone “mass” and the

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Christopher Kuenze, Lisa Cadmus-Bertram, Karin Pfieffer, Stephanie Trigsted, Dane Cook, Caroline Lisee and David Bell

characteristics, including the frequency, intensity, length, or type of physical activity, are impacted by ACLR. This is in contrast to objective approaches to physical activity assessment, such as accelerometry under free-living conditions, which are commonly used in the research environment and allow for a more