Literature DB >> 22398418

Energy cost of common activities in children and adolescents.

Kate Lyden1, Sarah Kozey Keadle, John Staudenmayer, Patty Freedson, Sofiya Alhassan.   

Abstract

BACKGROUND: The Compendium of Energy Expenditures for Youth assigns MET values to a wide range of activities. However, only 35% of activity MET values were derived from energy cost data measured in youth; the remaining activities were estimated from adult values.
PURPOSE: To determine the energy cost of common activities performed by children and adolescents and compare these data to similar activities reported in the compendium.
METHODS: Thirty-two children (8-11 years old) and 28 adolescents (12-16 years) completed 4 locomotion activities on a treadmill (TRD) and 5 age-specific activities of daily living (ADL). Oxygen consumption was measured using a portable metabolic analyzer.
RESULTS: In children, measured METs were significantly lower than compendium METs for 3 activities [basketball, bike riding, and Wii tennis (1.1-3.5 METs lower)]. In adolescents, measured METs were significantly lower than compendium METs for 4 ADLs [basketball, bike riding, board games, and Wii tennis (0.3-2.5 METs lower)] and 3 TRDs [2.24 m · s(-1), 1.56 m · s(-1), and 1.34 m · s(-1) (0.4-0.8 METs lower)].
CONCLUSION: The Compendium of Energy Expenditures for Youth is an invaluable resource to applied researchers. Inclusion of empirically derived data would improve the validity of the Compendium of Energy Expenditures for Youth.

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Year:  2012        PMID: 22398418      PMCID: PMC4007486          DOI: 10.1123/jpah.10.1.62

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  24 in total

1.  Defining accelerometer thresholds for activity intensities in adolescent girls.

Authors:  Margarita S Treuth; Kathryn Schmitz; Diane J Catellier; Robert G McMurray; David M Murray; M Joao Almeida; Scott Going; James E Norman; Russell Pate
Journal:  Med Sci Sports Exerc       Date:  2004-07       Impact factor: 5.411

2.  Errors in MET estimates of physical activities using 3.5 ml x kg(-1) x min(-1) as the baseline oxygen consumption.

Authors:  Sarah Kozey; Kate Lyden; John Staudenmayer; Patty Freedson
Journal:  J Phys Act Health       Date:  2010-07

Review 3.  Calibration of accelerometer output for children.

Authors:  Patty Freedson; David Pober; Kathleen F Janz
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

4.  Normalization of energy expenditure data for differences in body mass or composition in children and adolescents.

Authors:  Issa Zakeri; Maurice R Puyau; Anne L Adolph; Firoz A Vohra; Nancy F Butte
Journal:  J Nutr       Date:  2006-05       Impact factor: 4.798

Review 5.  Best practice methods to apply to measurement of resting metabolic rate in adults: a systematic review.

Authors:  Charlene Compher; David Frankenfield; Nancy Keim; Lori Roth-Yousey
Journal:  J Am Diet Assoc       Date:  2006-06

6.  Validity of the computer science and applications (CSA) activity monitor in children.

Authors:  S G Trost; D S Ward; S M Moorehead; P D Watson; W Riner; J R Burke
Journal:  Med Sci Sports Exerc       Date:  1998-04       Impact factor: 5.411

7.  Variations and determinants of energy expenditure as measured by whole-body indirect calorimetry during puberty and adolescence.

Authors:  A Bitar; N Fellmann; J Vernet; J Coudert; M Vermorel
Journal:  Am J Clin Nutr       Date:  1999-06       Impact factor: 7.045

8.  Techniques for measurement of resting energy expenditure in children.

Authors:  D A Schoeller; A Luke
Journal:  J Pediatr       Date:  1995-04       Impact factor: 4.406

Review 9.  Metabolic equivalents (METS) in exercise testing, exercise prescription, and evaluation of functional capacity.

Authors:  M Jetté; K Sidney; G Blümchen
Journal:  Clin Cardiol       Date:  1990-08       Impact factor: 2.882

Review 10.  Assigning energy costs to activities in children: a review and synthesis.

Authors:  Kate Ridley; Tim S Olds
Journal:  Med Sci Sports Exerc       Date:  2008-08       Impact factor: 5.411

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  4 in total

1.  Bicycle Trains, Cycling, and Physical Activity: A Pilot Cluster RCT.

Authors:  Jason A Mendoza; Wren Haaland; Maya Jacobs; Mark Abbey-Lambertz; Josh Miller; Deb Salls; Winifred Todd; Rachel Madding; Katherine Ellis; Jacqueline Kerr
Journal:  Am J Prev Med       Date:  2017-06-28       Impact factor: 5.043

2.  Accuracy of accelerometer regression models in predicting energy expenditure and METs in children and youth.

Authors:  Sofiya Alhassan; Kate Lyden; Cheryl Howe; Sarah Kozey Keadle; Ogechi Nwaokelemeh; Patty S Freedson
Journal:  Pediatr Exerc Sci       Date:  2012-11       Impact factor: 2.333

Review 3.  Accuracy of Accelerometers for Measuring Physical Activity and Levels of Sedentary Behavior in Children: A Systematic Review.

Authors:  Brian A Lynch; Tara K Kaufman; Tamim I Rajjo; K Mohammed; Seema Kumar; M Hassan Murad; Natalie E Gentile; Gabriel A Koepp; Shelly K McCrady-Spitzer; James A Levine
Journal:  J Prim Care Community Health       Date:  2019 Jan-Dec

4.  Comparison of daily physical activity parameters using objective methods between overweight and normal-weight children.

Authors:  Jonghoon Park; Kazuko Ishikawa-Takata; Sangjik Lee; Eunkyung Kim; Kiwon Lim; Hyungryul Kim; In-Sook Lee; Shigeho Tanaka
Journal:  J Sport Health Sci       Date:  2017-01-19       Impact factor: 7.179

  4 in total

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