Literature DB >> 22639128

Combining global positioning system and accelerometer data to determine the locations of physical activity in children.

Nicolas M Oreskovic1, Jeff Blossom, Alison E Field, Sylvia R Chiang, Jonathan P Winickoff, Ronald E Kleinman.   

Abstract

National trends indicate that children and adolescents are not achieving sufficient levels of physical activity. Combining global positioning system (GPS) technology with accelerometers has the potential to provide an objective determination in locations where youth engage in physical activity. The aim of this study was to identify the optimal methods for collecting combined accelerometer and GPS data in youth, to best locate where children spend time and are physically active. A convenience sample of 24 mid-school children in Massachusetts was included. Accelerometers and GPS units were used to quantify and locate childhood physical activity over 5 weekdays and 2 weekend days. Accelerometer and GPS data were joined by time and mapped with a geographical information system (GIS) using ArcGIS software. Data were collected in winter, spring, summer in 2009-2010, collecting a total of 26,406 matched datapoints overall. Matched data yield was low (19.1% total), regardless of season (winter, 12.8%; spring, 30.1%; summer, 14.3%). Teacher-provided, pre-charged equipment yielded the most matched (30.1%; range: 10.1-52.3%) and greatest average days (6.1 days) of data. Across all seasons, children spent most of their time at home. Outdoor use patterns appeared to vary by season, with street use increasing in spring, and park and playground use increasing in summer. Children spent equal amounts of physical activity time at home and walking in the streets. Overall, the various methods for combining GPS and accelerometer data provided similarly low amounts of combined data. No combined GPS and accelerometer data collection method proved superior in every data return category, but use of GIS to map joined accelerometer and GPS data can demarcate childhood physical activity locations.

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Year:  2012        PMID: 22639128     DOI: 10.4081/gh.2012.144

Source DB:  PubMed          Journal:  Geospat Health        ISSN: 1827-1987            Impact factor:   1.212


  31 in total

1.  Park use and physical activity among adolescent girls at two time points.

Authors:  Kelly R Evenson; Gi-Hyoug Cho; Daniel A Rodríguez; Deborah A Cohen
Journal:  J Sports Sci       Date:  2018-04-30       Impact factor: 3.337

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Authors:  Tanya K Kaufman; Andrew Rundle; Kathryn M Neckerman; Daniel M Sheehan; Gina S Lovasi; Jana A Hirsch
Journal:  J Urban Health       Date:  2019-08       Impact factor: 3.671

3.  A Multimodal Counseling-Based Adolescent Physical Activity Intervention.

Authors:  Nicolas M Oreskovic; Jonathan P Winickoff; James M Perrin; Alyssa I Robinson; Elizabeth Goodman
Journal:  J Adolesc Health       Date:  2016-05-24       Impact factor: 5.012

Review 4.  Physical activity assessment tools for use in overweight and obese children.

Authors:  C V L Ellery; H A Weiler; T J Hazell
Journal:  Int J Obes (Lond)       Date:  2013-07-05       Impact factor: 5.095

5.  Locations of joint physical activity in parent-child pairs based on accelerometer and GPS monitoring.

Authors:  Genevieve Fridlund Dunton; Yue Liao; Estela Almanza; Micheal Jerrett; Donna Spruijt-Metz; Mary Ann Pentz
Journal:  Ann Behav Med       Date:  2013-02

6.  Design and implementation of a physical activity intervention to enhance children's use of the built environment (the CUBE study).

Authors:  Nicolas M Oreskovic; Elizabeth Goodman; Elyse R Park; Alyssa I Robinson; Jonathan P Winickoff
Journal:  Contemp Clin Trials       Date:  2014-12-20       Impact factor: 2.226

Review 7.  Associations of objectively measured built-environment attributes with youth moderate-vigorous physical activity: a systematic review and meta-analysis.

Authors:  Leslie J McGrath; Will G Hopkins; Erica A Hinckson
Journal:  Sports Med       Date:  2015-06       Impact factor: 11.136

8.  Places where children are active: A longitudinal examination of children's physical activity.

Authors:  Cynthia K Perry; Elizabeth Ackert; James F Sallis; Karen Glanz; Brian E Saelens
Journal:  Prev Med       Date:  2016-09-20       Impact factor: 4.018

9.  Participatory mapping in low-resource settings: Three novel methods used to engage Kenyan youth and other community members in community-based HIV prevention research.

Authors:  Eric P Green; Virginia Rieck Warren; Sherryl Broverman; Benson Ogwang; Eve S Puffer
Journal:  Glob Public Health       Date:  2016-04-11

10.  Associations Between the Neighborhood Environment and Moderate-to-Vigorous Walking in New Zealand Children: Findings from the URBAN Study.

Authors:  Leslie J McGrath; Erica A Hinckson; Will G Hopkins; Suzanne Mavoa; Karen Witten; Grant Schofield
Journal:  Sports Med       Date:  2016-07       Impact factor: 11.136

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