Describing Patterns of Physical Activity in Adolescents Using Global Positioning Systems and Accelerometry

2010 ◽  
Vol 22 (3) ◽  
pp. 392-407 ◽  
Author(s):  
Ralph Maddison ◽  
Yannan Jiang ◽  
Stephen Vander Hoorn ◽  
Daniel Exeter ◽  
Cliona Ni Mhurchu ◽  
...  

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.

1999 ◽  
Vol 9 (4) ◽  
pp. 539-547 ◽  
Author(s):  
Ronnie W. Heiniger

New technologies such as differential global positioning systems (DGPS) and geographical information systems (GIS) are making it possible to manage variability in soil properties and the microenvironment within a field. By providing information about where variability occurs and the patterns that exist in crop and soil properties, DGPS and GIS technologies have the potential of improving crop management practices. Yield monitoring systems linked to DGPS receivers are available for several types of horticultural crops and can be used in variety selection and/or improving crop management. Precision soil sampling and remote sensing technologies can be used to scout for infestations of insects, diseases, or weeds, to determine the distribution of soil nutrients, and to monitor produce quality by measuring crop vigor. Combined with variable rate application systems, precision soil sampling and remote sensing can help direct fertilizer, herbicide, pesticide, and/or fungicide applications to only those regions of the field that require soil amendments or are above threshold levels. This could result in less chemical use and improved crop performance. As with any information driven system, the data must be accurate, inexpensive to collect, and, most importantly, must become part of a decision process that results in improvements in crop yield, productivity, and/or environmental stewardship.


2011 ◽  
Vol 41 (5) ◽  
pp. 508-515 ◽  
Author(s):  
Patricia J. Krenn ◽  
Sylvia Titze ◽  
Pekka Oja ◽  
Andrew Jones ◽  
David Ogilvie

2014 ◽  
Vol 11 (5) ◽  
pp. 950-960 ◽  
Author(s):  
Deborah Young ◽  
Brit I. Saksvig ◽  
Tong Tong Wu ◽  
Kathleen Zook ◽  
Xia Li ◽  
...  

Background:We examined associations among multilevel variables and girls’ physical activity to determine whether they vary at different adolescent ages.Methods:All field sites of the Trial of Activity for Adolescent Girls contributed participants from 6th (n = 1576) and 8th grades (n = 3085). The Maryland site contributed an 11th grade sample (n = 589). Questionnaires were used to obtain demographic and psychosocial information (individual- and social-level variables); height, weight, and triceps skinfold to assess body composition; interviews and surveys for school-level data; and geographical information systems and self-report for neighborhood-level variables. Moderate to vigorous physical activity minutes (MVPA) were assessed from accelerometers. Mixed models (13 individual, 5 social, 15 school, 12 neighborhood variables) were used to determine multilevel associations.Results:Variables at individual, social, school, and neighborhood levels were associated with MVPA, but differed across grades. Lower percent body fat, higher social support from friends, and lower school math scores were associated with higher MVPA at 6th and 8th grade. Higher physical activity self-efficacy was associated with higher MVPA at 11th grade. Only lower physical activity barriers were associated with higher MVPA at all grades.Conclusion:MVPA is a complex behavior with fluid, multilevel correlates that differ among girls across middle and high school.


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