Describing patterns of physical activity in adolescents using global positioning systems and accelerometry.

This study aimed to describe the location and intensity of free-living physical activity in New Zealand adolescents during weekdays and weekend days using Global Positioning Systems (GPS), accelerometry, and Geographical Information Systems (GIS). Participants (n = 79) aged 12-17 years (M = 14.5, SD 1.6) recruited from two large metropolitan high schools each wore a GPS watch and an accelerometer for four consecutive days. GPS and accelerometer data were integrated with GIS software to map the main locations of each participant's episodes of moderate-vigorous physical activity. On average participants performed 74 (SD 36) minutes of moderate and 7.5 (SD 8) minutes of vigorous activity per day, which on weekdays was most likely to occur within a 1 km radius of their school or 150 meters of their home environment. On weekends physical activity patterns were more disparate and took place outside of the home environment. Example maps were generated to display the location of moderate to vigorous activity for weekdays and weekends.

[1]  M. Duncan,et al.  GIS or GPS? A comparison of two methods for assessing route taken during active transport. , 2007, American journal of preventive medicine.

[2]  G. Schofield,et al.  Combining GPS with heart rate monitoring to measure physical activity in children: A feasibility study. , 2009, Journal of science and medicine in sport.

[3]  E. Schlecht,et al.  The use of differentially corrected global positioning system to monitor activities of cattle at pasture , 2004 .

[4]  K I Norton,et al.  Comparison of global positioning and computer-based tracking systems for measuring player movement distance during Australian football. , 2006, Journal of science and medicine in sport.

[5]  Y Schutz,et al.  High-precision satellite positioning system as a new tool to study the biomechanics of human locomotion. , 2000, Journal of biomechanics.

[6]  A. Curtis,et al.  Spatial confidentiality and GIS: re-engineering mortality locations from published maps about Hurricane Katrina , 2006, International journal of health geographics.

[7]  Eui-Hwan Chung,et al.  A Trip Reconstruction Tool for GPS-based Personal Travel Surveys , 2005 .

[8]  Charles E Matthews,et al.  Prediction of activity mode with global positioning system and accelerometer data. , 2008, Medicine and science in sports and exercise.

[9]  Jorma Viikari,et al.  Is Physical Activity Related to Body Size, Fundamental Motor Skills, and CHD Risk Factors in Early Childhood? , 1999 .

[10]  Roger Mackett,et al.  Setting Children Free: Children’s Independent Movement in the Local Environment , 2007 .

[11]  John S Brownstein,et al.  An unsupervised classification method for inferring original case locations from low-resolution disease maps , 2006, International journal of health geographics.

[12]  Setting Brazil Establishing a standard definition for child overweight and obesity worldwide: international survey. , 2008 .

[13]  P. Larsson,et al.  Global Positioning System and Sport-Specific Testing , 2003, Sports medicine.

[14]  Philip J Troped,et al.  Portable global positioning units to complement accelerometry-based physical activity monitors. , 2005, Medicine and science in sports and exercise.

[15]  G. Rushton,et al.  Geographically masking health data to preserve confidentiality. , 1999, Statistics in medicine.

[16]  Albert K. W. Yeung,et al.  Concepts And Techniques Of Geographic Information Systems , 2002 .

[17]  Y Schutz,et al.  Assessment of speed of human locomotion using a differential satellite global positioning system. , 2000, Medicine and science in sports and exercise.

[18]  J. Fortenberry,et al.  Adolescent travel patterns: pilot data indicating distance from home varies by time of day and day of week. , 2008, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[19]  P. Larsson,et al.  The use of dGPS and simultaneous metabolic measurements during orienteering. , 2001, Medicine and science in sports and exercise.

[20]  Barbara E Ainsworth,et al.  Considerations for Using a Geographic Information System to Assess Environmental Supports for Physical Activity , 2004, Preventing chronic disease.

[21]  K. Phillips,et al.  Applying GPS to the study of primate ecology: A useful tool? , 1999, American journal of primatology.

[22]  C. Bullen,et al.  The environment and physical activity: The influence of psychosocial, perceived and built environmental factors , 2009, The international journal of behavioral nutrition and physical activity.

[23]  R. Lynch,et al.  Use of global positioning system technology to track subject's location during environmental exposure sampling , 2001, Journal of Exposure Analysis and Environmental Epidemiology.

[24]  Y Schutz,et al.  Could a satellite-based navigation system (GPS) be used to assess the physical activity of individuals on earth? , 1997, European Journal of Clinical Nutrition.

[25]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2001 .

[26]  Michelle M Porter,et al.  Assessment of driving with the global positioning system and video technology in young, middle-aged, and older drivers. , 2002, The journals of gerontology. Series A, Biological sciences and medical sciences.

[27]  P S Freedson,et al.  Calibration of the Computer Science and Applications, Inc. accelerometer. , 1998, Medicine and science in sports and exercise.

[28]  Peter R. Stopher,et al.  Processing GPS data from travel surveys , 2005 .

[29]  R M Malina,et al.  Physical activity and fitness: Pathways from childhood to adulthood , 2001, American journal of human biology : the official journal of the Human Biology Council.