Literature DB >> 24781890

Children's physical activity assessed with wrist- and hip-worn accelerometers.

Alex V Rowlands1, Kirsten Rennie, Robert Kozarski, Rebecca M Stanley, Roger G Eston, Gaynor C Parfitt, Tim S Olds.   

Abstract

BACKGROUND: Recently, triaxial raw acceleration accelerometers have become available from GENEActiv and ActiGraph; both are designed for wrist and hip wear. It is important to determine whether the output from these monitors is comparable with the wealth of data already collected from the hip-worn, epoch-based, uniaxial ActiGraph.
PURPOSE: This study aimed to assess the concurrent validity of measures of total activity and time spent at different activity intensities from the GENEActiv relative to the ActiGraph GT3X+.
METHODS: Fifty-eight children age 10-12 yr wore two accelerometers at the hip (ActiGraph GT3X+ and GENEActiv) and one at the wrist (GENEActiv) for 7 d. Wear time was matched for all monitors before analysis.
RESULTS: Mean daily accelerometer output, time spent sedentary, and time in moderate-to-vigorous physical activity (MVPA) from the hip- or wrist-worn GENEActiv were strongly correlated with the corresponding output from the hip-worn ActiGraph (r > 0.83, P < 0.001). However, less time was estimated to be sedentary and more time was estimated to be MVPA using the hip- or wrist-worn GENEActiv (Phillips cut points) than that when using the Evenson vertical axis cut points with the hip-worn ActiGraph. Output from the vertical axis ActiGraph cut points could be predicted with 95% limits of agreement, equating to 23%-28% and 33%-35% of the mean value, by the hip- and wrist-worn GENEActiv, respectively.
CONCLUSIONS: The assessment of children's activity level, time spent sedentary, and time in MVPA estimated from the hip- or wrist-worn GENEActiv seems to be comparable with that of the uniaxial ActiGraph. On the basis of the strong linear correlations, ActiGraph output can be predicted from the hip- or wrist-worn GENEActiv for comparative purposes at the group level. However, because of relatively wide limits of agreement, individual-level comparisons are not recommended.

Entities:  

Mesh:

Year:  2014        PMID: 24781890     DOI: 10.1249/MSS.0000000000000365

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  29 in total

1.  Physical activity across the curriculum (PAAC3): Testing the application of technology delivered classroom physical activity breaks.

Authors:  Amanda N Szabo-Reed; Richard A Washburn; J Leon Greene; Lauren T Ptomey; Anna Gorczyca; Robert H Lee; Todd D Little; Jaehoon Lee; Jeff Honas; Joseph E Donnelly
Journal:  Contemp Clin Trials       Date:  2020-01-29       Impact factor: 2.226

2.  Individual and family-based approaches to increase physical activity in adolescents with intellectual and developmental disabilities: Rationale and design for an 18 month randomized trial.

Authors:  L T Ptomey; R A Washburn; J Lee; J L Greene; A N Szabo-Reed; J R Sherman; J C Danon; L N Osborne; T D Little; J E Donnelly
Journal:  Contemp Clin Trials       Date:  2019-07-22       Impact factor: 2.226

3.  A comparison of accelerometer cut-points for measuring physical activity and sedentary time in adolescents with Down syndrome.

Authors:  Bethany Forseth; Jordan A Carlson; Erik A Willis; Brian C Helsel; Lauren T Ptomey
Journal:  Res Dev Disabil       Date:  2021-11-24

4.  Evaluation of Wrist Accelerometer Cut-Points for Classifying Physical Activity Intensity in Youth.

Authors:  Stewart G Trost; Denise S K Brookes; Matthew N Ahmadi
Journal:  Front Digit Health       Date:  2022-05-02

5.  Changes in physical activity across a 6-month weight loss intervention in adolescents with intellectual and developmental disabilities.

Authors:  L T Ptomey; J Lee; D A White; B C Helsel; R A Washburn; J E Donnelly
Journal:  J Intellect Disabil Res       Date:  2021-12-16

6.  Wrist Accelerometer Cut Points for Classifying Sedentary Behavior in Children.

Authors:  Christiana M T VAN Loo; Anthony D Okely; Marijka J Batterham; Trina Hinkley; Ulf Ekelund; Søren Brage; John J Reilly; Stewart G Trost; Rachel A Jones; Xanne Janssen; Dylan P Cliff
Journal:  Med Sci Sports Exerc       Date:  2017-04       Impact factor: 5.411

7.  Comparative Effectiveness of Clinical and Community-Based Approaches to Healthy Weight.

Authors:  Lauren Fiechtner; Meghan Perkins; Vincent Biggs; Nancy Langhans; Mona Sharifi; Sarah Price; Man Luo; Joseph J Locascio; Katherine H Hohman; Heather Hodge; Steven Gortmaker; Shioban Torres; Elsie M Taveras
Journal:  Pediatrics       Date:  2021-09-01       Impact factor: 9.703

Review 8.  Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.

Authors:  Jairo H Migueles; Cristina Cadenas-Sanchez; Ulf Ekelund; Christine Delisle Nyström; Jose Mora-Gonzalez; Marie Löf; Idoia Labayen; Jonatan R Ruiz; Francisco B Ortega
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

9.  Wrist Acceleration Cut Points for Moderate-to-Vigorous Physical Activity in Youth.

Authors:  Christiana Maria Theodora VAN Loo; Anthony D Okely; Marijka J Batterham; Trina Hinkley; Ulf Ekelund; Søren Brage; John J Reilly; Stewart G Trost; Rachel A Jones; Xanne Janssen; Dylan P Cliff
Journal:  Med Sci Sports Exerc       Date:  2018-03       Impact factor: 5.411

10.  Physical Activity Levels in Chinese One-Year-Old Children and Their Parents, an Early STOPP China Study.

Authors:  Hong Mei; Elin Johansson; Maria Hagströmer; Yuelin Xiong; Lanlan Zhang; Jianduan Zhang; Claude Marcus
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

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