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Items: 1 to 20 of 24

1.

Changes in bicycling over time associated with a new bike lane: relations with kilocalories energy expenditure and body mass index.

Brown BB, Tharp D, Tribby CP, Smith KR, Miller HJ, Werner CM.

J Transp Health. 2016 Sep;3(3):357-365. Epub 2016 May 4.

2.

"Spatial Energetics": Integrating Data From GPS, Accelerometry, and GIS to Address Obesity and Inactivity.

James P, Jankowska M, Marx C, Hart JE, Berrigan D, Kerr J, Hurvitz PM, Hipp JA, Laden F.

Am J Prev Med. 2016 Nov;51(5):792-800. doi: 10.1016/j.amepre.2016.06.006. Epub 2016 Aug 12.

3.

A Complete Street Intervention for Walking to Transit, Nontransit Walking, and Bicycling: A Quasi-Experimental Demonstration of Increased Use.

Brown BB, Smith KR, Tharp D, Werner CM, Tribby CP, Miller HJ, Jensen W.

J Phys Act Health. 2016 Nov;13(11):1210-1219. doi: 10.1123/jpah.2016-0066. Epub 2016 Aug 24.

4.

Understanding the role of contrasting urban contexts in healthy aging: an international cohort study using wearable sensor devices (the CURHA study protocol).

Kestens Y, Chaix B, Gerber P, Desprès M, Gauvin L, Klein O, Klein S, Köppen B, Lord S, Naud A, Payette H, Richard L, Rondier P, Shareck M, Sueur C, Thierry B, Vallée J, Wasfi R.

BMC Geriatr. 2016 May 5;16:96. doi: 10.1186/s12877-016-0273-7. Erratum in: BMC Geriatr. 2016;16(1):127.

5.

Comparing GPS, Log, Survey, and Accelerometry to Measure Physical Activity.

James P, Weissman J, Wolf J, Mumford K, Contant CK, Hwang WT, Taylor L, Glanz K.

Am J Health Behav. 2016 Jan;40(1):123-31. doi: 10.5993/AJHB.40.1.14.

6.

Technologies That Assess the Location of Physical Activity and Sedentary Behavior: A Systematic Review.

Loveday A, Sherar LB, Sanders JP, Sanderson PW, Esliger DW.

J Med Internet Res. 2015 Aug 5;17(8):e192. doi: 10.2196/jmir.4761. Review.

7.

Using GPS-derived speed patterns for recognition of transport modes in adults.

Huss A, Beekhuizen J, Kromhout H, Vermeulen R.

Int J Health Geogr. 2014 Oct 11;13:40. doi: 10.1186/1476-072X-13-40.

8.

Development of methods to objectively identify time spent using active and motorised modes of travel to work: how do self-reported measures compare?

Panter J, Costa S, Dalton A, Jones A, Ogilvie D.

Int J Behav Nutr Phys Act. 2014 Sep 19;11:116. doi: 10.1186/s12966-014-0116-x.

9.

Validity of PALMS GPS scoring of active and passive travel compared with SenseCam.

Carlson JA, Jankowska MM, Meseck K, Godbole S, Natarajan L, Raab F, Demchak B, Patrick K, Kerr J.

Med Sci Sports Exerc. 2015 Mar;47(3):662-7. doi: 10.1249/MSS.0000000000000446.

10.

Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms.

Ellis K, Godbole S, Marshall S, Lanckriet G, Staudenmayer J, Kerr J.

Front Public Health. 2014 Apr 22;2:36. doi: 10.3389/fpubh.2014.00036. eCollection 2014.

11.

Use of an activity monitor and GPS device to assess community activity and participation in transtibial amputees.

Hordacre B, Barr C, Crotty M.

Sensors (Basel). 2014 Mar 25;14(4):5845-59. doi: 10.3390/s140405845.

12.

Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation.

Kozey Keadle S, Lyden K, Hickey A, Ray EL, Fowke JH, Freedson PS, Matthews CE.

Int J Behav Nutr Phys Act. 2014 Feb 3;11:12. doi: 10.1186/1479-5868-11-12.

13.

Design and test of a hybrid foot force sensing and GPS system for richer user mobility activity recognition.

Zhang Z, Poslad S.

Sensors (Basel). 2013 Nov 1;13(11):14918-53. doi: 10.3390/s131114918. Review.

14.

Walking objectively measured: classifying accelerometer data with GPS and travel diaries.

Kang B, Moudon AV, Hurvitz PM, Reichley L, Saelens BE.

Med Sci Sports Exerc. 2013 Jul;45(7):1419-28. doi: 10.1249/MSS.0b013e318285f202.

15.

Improving estimates of air pollution exposure through ubiquitous sensing technologies.

de Nazelle A, Seto E, Donaire-Gonzalez D, Mendez M, Matamala J, Nieuwenhuijsen MJ, Jerrett M.

Environ Pollut. 2013 May;176:92-9. doi: 10.1016/j.envpol.2012.12.032. Epub 2013 Feb 13.

16.

The inter- and intra-unit variability of a low-cost GPS data logger/receiver to study human outdoor walking in view of health and clinical studies.

Abraham P, Noury-Desvaux B, Gernigon M, Mahé G, Sauvaget T, Leftheriotis G, Le Faucheur A.

PLoS One. 2012;7(2):e31338. doi: 10.1371/journal.pone.0031338. Epub 2012 Feb 20.

17.

Identifying walking trips from GPS and accelerometer data in adolescent females.

Rodriguez DA, Cho GH, Elder JP, Conway TL, Evenson KR, Ghosh-Dastidar B, Shay E, Cohen D, Veblen-Mortenson S, Pickrell J, Lytle L.

J Phys Act Health. 2012 Mar;9(3):421-31. Epub 2011 May 11.

18.

The accuracy of a simple, low-cost GPS data logger/receiver to study outdoor human walking in view of health and clinical studies.

Noury-Desvaux B, Abraham P, Mahé G, Sauvaget T, Leftheriotis G, Le Faucheur A.

PLoS One. 2011;6(9):e23027. doi: 10.1371/journal.pone.0023027. Epub 2011 Sep 13.

19.

Accuracy of a novel multi-sensor board for measuring physical activity and energy expenditure.

Duncan GE, Lester J, Migotsky S, Goh J, Higgins L, Borriello G.

Eur J Appl Physiol. 2011 Sep;111(9):2025-32. doi: 10.1007/s00421-011-1834-2. Epub 2011 Jan 20.

20.

Commuting and health in Cambridge: a study of a 'natural experiment' in the provision of new transport infrastructure.

Ogilvie D, Griffin S, Jones A, Mackett R, Guell C, Panter J, Jones N, Cohn S, Yang L, Chapman C.

BMC Public Health. 2010 Nov 16;10:703. doi: 10.1186/1471-2458-10-703.

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