Literature DB >> 16765269

Clinimetric review of motion sensors in children and adolescents.

Sanne I de Vries1, Ingrid Bakker, Marijke Hopman-Rock, Remy A Hirasing, Willem van Mechelen.   

Abstract

BACKGROUND AND OBJECTIVES: To review the clinimetric quality of motion sensors used to assess physical activity in healthy children and adolescents (2-18 years).
METHODS: A systematic literature search was performed in PubMed, Embase, and SpycINFO. The clinimetric quality of two pedometers (Digi-Walker, Pedoboy), four one-dimensional accelerometers (LSI, Caltrac, Actiwatch, CSA/ActiGraph), and three three-dimensional accelerometers (Tritrac-R3D, RT3, Tracmor2) was evaluated and compared using a 20-item checklist.
RESULTS: Overall, the quality of the studies (n = 35), and therefore the level of evidence for the reproducibility, validity, and feasibility of the motion sensors was modest (mean = 6.4 +/- 1.6 out of 14 points). There was strong evidence for a good reproducibility of the Caltrac in adolescents (12-18 years), a poor reproducibility of the Digi-Walker in children (8-12 years), a good validity of the CSA/ActiGraph in children and adolescents (8-18 years), and a good validity of the Tritrac-R3D in children (8-12 years).
CONCLUSIONS: The CSA/ActiGraph and the Caltrac are the only motion sensors in which the reproducibility, validity, and feasibility have been examined in different age groups. Further studies of the reproducibility of motion sensors in preschool children, improvement of the quality of clinimetric studies, and evaluation of the acceptability of motion sensors are warranted.

Entities:  

Mesh:

Year:  2006        PMID: 16765269     DOI: 10.1016/j.jclinepi.2005.11.020

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  75 in total

1.  The distribution of physical activity in an after-school friendship network.

Authors:  Sabina B Gesell; Eric Tesdahl; Eileen Ruchman
Journal:  Pediatrics       Date:  2012-05-28       Impact factor: 7.124

2.  Distributed lag and spline modeling for predicting energy expenditure from accelerometry in youth.

Authors:  Leena Choi; Kong Y Chen; Sari A Acra; Maciej S Buchowski
Journal:  J Appl Physiol (1985)       Date:  2009-12-03

Review 3.  Physical activity is related to insulin sensitivity in children and adolescents, independent of adiposity: a review of the literature.

Authors:  Laura J Berman; Marc J Weigensberg; Donna Spruijt-Metz
Journal:  Diabetes Metab Res Rev       Date:  2012-03-02       Impact factor: 4.876

4.  The relationship between hispanic parents and their preschool-aged children's physical activity.

Authors:  Rachel Ruiz; Sabina B Gesell; Maciej S Buchowski; Warren Lambert; Shari L Barkin
Journal:  Pediatrics       Date:  2011-04-11       Impact factor: 7.124

5.  Balancing community and university aims in community-based participatory research: a Pacific Islander youth study.

Authors:  Sora Park Tanjasiri; Lenny Wiersma; Greta Briand; Vaka Faletau; Jonathan Lepule; Lianne Nacpil; Jan Eichenauer
Journal:  Prog Community Health Partnersh       Date:  2011

6.  Seasonal variation in objectively assessed physical activity among children and adolescents in Norway: a cross-sectional study.

Authors:  Elin Kolle; Jostein Steene-Johannessen; Lars B Andersen; Sigmund A Anderssen
Journal:  Int J Behav Nutr Phys Act       Date:  2009-06-29       Impact factor: 6.457

7.  Review of prediction models to estimate activity-related energy expenditure in children and adolescents.

Authors:  Suzanne M de Graauw; Janke F de Groot; Marco van Brussel; Marjolein F Streur; Tim Takken
Journal:  Int J Pediatr       Date:  2010-06-29

8.  Clustering of children's obesity-related behaviours: associations with sociodemographic indicators.

Authors:  R M Leech; S A McNaughton; A Timperio
Journal:  Eur J Clin Nutr       Date:  2014-01-15       Impact factor: 4.016

Review 9.  Physical activity in preschoolers: understanding prevalence and measurement issues.

Authors:  Melody Oliver; Grant M Schofield; Gregory S Kolt
Journal:  Sports Med       Date:  2007       Impact factor: 11.136

10.  Differences in physical activity and sedentary time in relation to weight in 8-9 year old children.

Authors:  Lisa R Purslow; Claire Hill; Jenny Saxton; Kirsten Corder; Jane Wardle
Journal:  Int J Behav Nutr Phys Act       Date:  2008-12-12       Impact factor: 6.457

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.