A framework for using GPS data in physical activity and sedentary behavior studies

Exercise and Sport Sciences Reviews

Volumn 43, Issue 1, 2015, Pages 48-56

  Jankowska, Marta M ^a   Schipperijn, Jasper ^b   Kerr, Jacqueline ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

Author keywords

accelerometer; dynamic exposure; GIS; GPS; physical activity; sedentary behavior

Indexed keywords

ACCELEROMETRY; EXERCISE; GEOGRAPHIC INFORMATION SYSTEM; HEALTH BEHAVIOR; HUMAN; INFORMATION PROCESSING; MEDICAL RESEARCH; MOTOR ACTIVITY; PROCEDURES; SEDENTARY LIFESTYLE; TIME FACTOR;

ACCELEROMETRY; BIOMEDICAL RESEARCH; DATA COLLECTION; EXERCISE; GEOGRAPHIC INFORMATION SYSTEMS; HEALTH BEHAVIOR; HUMANS; MOTOR ACTIVITY; SEDENTARY LIFESTYLE; TIME FACTORS;

EID: 84920277447     PISSN: 00916331     EISSN: 15383008     Source Type: Journal    
DOI: 10.1249/JES.0000000000000035     Document Type: Article

References (37)

1. Aldstadt J, Getis A. Using AMOEBA to create a spatial weights matrix and identify spatial clusters. Geographical Analysis [Internet] 2006;38(4):327-43. Available from: http://doi.wiley.com/10.1111/j.1538-4632.2006.00689.x. Accessed on July 1, 2014
2. Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJF, Martin BW Correlates of Physical Activity: Why Are Some People Physically Active and Others Not? Lancet [Internet] 2012 [Cited 2014 May 23]; 380(9838): 258-71. Available From: http://www.ncbi.nlm.nih.gov/pubmed/22818938
3. Brownson RC, Hoehner CM, Day K, Forsyth A, Sallis JF. Measuring the built environment for physical activity: state of the science. American Journal of Preventive Medicine [Internet] 2009 [cited 2014 Jun 3]; 36(4Suppl.):S99-123.e12. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2844244&tool=pmcentrez&rendertype=abstract
4. Burton L, Kemp S, Leung M, Matthews S, Takeuchi DT. Communities, Neighborhoods, and Health: Expanding the Boundaries of Place. 1st ed. New York (NY): Springer; 2011
5. Carlson JA, Jankowska MM, Meseck K, et al. Validity of PALMS GPS scoring of active and passive travel compared to SenseCam. In: Med. Sci. Sports Exerc. 2014
6. Coombes E, van Sluijs E, Jones A. Is environmental setting associated with the intensity and duration of children's physical activity? Findings from the SPEEDY GPS study. Health Place [Internet] 2013 [cited 2014 Aug 7]; 20:62-5. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3591252&tool=pmcentrez&rendertype=abstract
7. Cummins S, Curtis S, Diez-Roux A V, Macintyre S. Understanding and representing "place" in health research: a relational approach. Social Science and Medicine [Internet] 2007 [cited 2014 Jul 16]; 65(9):1825-38. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17706331
8. Duncan S, Stewart TI, Oliver M, et al. Portable global positioning system receivers: static validity and environmental conditions. American Journal of Preventive Medicine [Internet] 2013 [cited 2014 Jun 12]; 44(2):e19-29. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23332343
9. Ellis K, Godbole S, Marshall S, Lanckriet G, Staudenmayer J, Kerr J. Identifying active travel behaviors in challenging environments using GPS, accelerometers, and machine learning algorithms. Frontiers in Public Health [Internet] 2014 [cited 2014 Jul 29]; 2:36. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4001067&tool= pmcentrez&rendertype=abstract
10. Forsyth A, Van Riper D, Larson N, Wall M, Neumark-Sztainer D. Creating a replicable, valid cross-platform buffering technique: the sausage network buffer for measuring food and physical activity built environments. International Journal of Health Geographics [Internet] 2012; 11:14. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid= 3391988&tool=pmcentrez&rendertype=abstract. Accessed on July, 1, 2014
11. Frank LD, Sallis JF, Saelens BE, et al. The development of a walkability index: application to the Neighborhood Quality of Life Study. British Journal of Sports Medicine [Internet] 2010 [cited 2014 May 29]; 44(13):924-33. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19406732
12. Gatrell AC, Bailey TC, Diggle PJ, Rowlingson BS, Bailey C. Analysis and its spatial point pattern application in geographical epidemiology. Trans. Inst. Br. Geogr. 2014; 21(1):256-74
13. Giles-Corti B, Timperio A, Cutt H, et al. Development of a reliable measure of walking within and outside the local neighborhood: RESIDE's Neighborhood Physical Activity Questionnaire. Preventive Medicine (Baltimore) [Internet] 2006 [cited 2014 Jul 29]; 42(6):455-9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16574208
14. Gomersall SR, Rowlands AV, English C, Maher C, Olds TS. The ActivityStat hypothesis: the concept, the evidence and the methodologies. Sports Medicine [Internet] 2013 [cited 2014 Jul 21]; 43(2):135-49. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23329607
15. Gong H, Chen C, Bialostozky E, Lawson CT. A GPS/GIS method for travel mode detection in New York City. Computers, Environment and Urban Systems [Internet] 2012 [cited 2014 Jul 11]; 36(2):131-9. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0198971511000536
16. Hurvitz PM, Moudon AV, Kang B, Saelens BE, Duncan GE. Emerging technologies for assessing physical activity behaviors in space and time. Frontiers in Public Health [Internet] 2014 [cited 2014 Jun 12]; 2:2. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3904281&tool=pmcentrez&rendertype=abstract
17. Inagami S, Cohen DA, Finch BK. Non-residential neighborhood exposures suppress neighborhood effects on self-rated health. Social Science and Medicine [Internet] 2007 [cited 2014 Jul 29]; 65(8):1779-91. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17614175
18. Kerr J, Duncan S, Schipperijn J, Schipperjin J. Using global positioning systems in health research: a practical approach to data collection and processing. American Journal of Preventive Medicine [Internet] 2011 [cited 2014 May 26]; 41(5):532-40. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22011426
19. Kerr J, Marshall SJ, Godbole S, et al. Using the SenseCam to improve classifications of sedentary behavior in free-living settings. American Journal of Preventive Medicine [Internet] 2013 [cited 2014 Jul 20]; 44(3): 290-6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23415127
20. Kerr J, Rosenberg D, Nathan A, et al. Applying the ecological model of behavior change to a physical activity trial in retirement communities: description of the study protocol. Contemp. Clin. Trials. 2012; 33(6): 1180-8
21. Kerr J, Sallis JF, Saelens BE, et al. Outdoor physical activity and self rated health in older adults living in two regions of the U.S. International Journal of Behavioral Nutrition and Physical Activity [Internet] 2012 [cited 2014 Aug 20]; 9(1):89. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3464785&tool=pmcentrez&rendertype=abstract
22. Krenn PJ, Titze S, Oja P, Jones A, Ogilvie D. Use of global positioning systems to study physical activity and the environment: a systematic review. American Journal of Preventive Medicine [Internet] 2011 [cited 2014 Jun 12]; 41(5):508-15. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3821057&tool=pmcentrez&rendertype=abstract
23. Kwan M. The uncertain geographic context problem. Ann. Assoc. Am. Geogr. 2012; 102:958-68
24. Kwan M-P. From place-based to people-based exposure measures. Social Science and Medicine [Internet] 2009 [cited 2014 Jul 29]; 69(9):1311-3. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19665828
25. McCormack GR, Shiell A. In search of causality: a systematic review of the relationship between the built environment and physical activity among adults. International Journal of Behavioral Nutrition and Physical Activity [Internet] 2011 [cited 2014 Jun 5]; 8:125. Available from: http://www.ijbnpa.org/content/8/1/125\nhttp://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=emed10&NEWS=N&AN=2012163032
26. Millstein R a, Cain KL, Sallis JF, et al. Development, scoring, and reliability of theMicroscale Audit of Pedestrian Streetscapes (MAPS). BMC Public Health [Internet] 2013; 13:403. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3728214&tool=pmcentrez&rendertype=abstract. Accessed on July 1, 2015
27. Perchoux C, Chaix B, Cummins S, Kestens Y. Conceptualization and measurement of environmental exposure in epidemiology: accounting for activity space related to daily mobility. Health Place [Internet] 2013 [cited 2014 Jun 12]; 21:86-93. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23454664
28. Rainham D, McDowell I, Krewski D, Sawada M. Conceptualizing the healthscape: contributions of time geography, location technologies and spatial ecology to place and health research. Social Science and Medicine [Internet] 2010 [cited 2014 Jun 3]; 70(5):668-76. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19963310
29. Riva M, Gauvin L, Barnett T a. Toward the next generation of research into small area effects on health: a synthesis of multilevel investigations published since July 1998. Journal of Epidemiology and Community Health [Internet] 2007 [cited 2014 Jul 29]; 61(10):853-61. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2652961& tool=pmcentrez&rendertype=abstract
30. Rzewnicki R, Vanden Auweele Y, De Bourdeaudhuij I. Addressing overreporting on the International Physical Activity Questionnaire (IPAQ) telephone survey with a population sample. Public Health Nutrition [Internet] 2003 [cited 2014 Jul 24]; 6(3):299-305. Available from: http://www.ncbi.nlm.nih.gov/pubmed/12740079
31. Schipperijn J, Kerr J, Duncan S, Madsen T, Klinker CD, Troelsen J. Dynamic accuracy of GPS receivers for use in health research: a novel method to assess GPS accuracy in real-world settings. Frontiers in Public Health [Internet] 2014 [cited 2014 Jul 29]; 2:21. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3948045&tool=pmcentrez&rendertype=abstract
32. Spielman SE, Yoo E-H. The spatial dimensions of neighborhood effects. Social Science and Medicine [Internet] 2009 [cited 2014 Jun 12]; 68(6): 1098-105. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19167802
33. Staudenmayer J, Pober D, Crouter S, Bassett D, Freedson P. An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. Journal of Applied Physiology [Internet] 2009 [cited 2014 Jul 29]; 107(4):1300-7. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2763835&tool=pmcentrez&rendertype=abstract. Accessed on July 1, 2014
34. Thierry B, Chaix B, Kestens Y. Detecting activity locations from raw GPS data: a novel kernel-based algorithm. International Journal of Health Geographics [Internet] 2013; 12:14. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3637118&tool=pmcentrez&rendertype=abstract. Accessed on July 1, 2015
35. Trost SG, Pate RR, Freedson P, Sallis JF, Taylor WC. Using objective physical activity measures with youth: how many days of monitoring are needed? Med. Sci. Sports Exerc. 2000; 32(2):426
36. Wang S. A CyberGIS framework for the synthesis of cyberinfrastructure, GIS, and spatial analysis. Annals of the Association of American Geographers [Internet] 2010 [cited 2014 Jul 9]; 100(3):535-57. Available from: http://www.tandfonline.com/doi/abs/10.1080/00045601003791243
37. Zheng Y, Zhang L, Xie X, Ma W-Y. Mining interesting locations and travel sequences from GPS trajectories. Proceedings of the 18th International Conference on World wide web [Internet] 2009; 791. Available from: http://portal.acm.org/citation.cfm?doid=1526709.1526816. Accessed on July 1, 2014