Active transportation and public transportation use to achieve physical activity recommendations? A combined GPS, accelerometer, and mobility survey study

International Journal of Behavioral Nutrition and Physical Activity

Volumn 11, Issue 1, 2014, Pages

  Chaix, Basile ^a,b   Kestens, Yan ^c   Duncan, Scott ^d   Merrien, Claire ^a,b   Thierry, Benoît ^c   Pannier, Bruno ^e   Brondeel, Ruben ^a,b,f   Lewin, Antoine ^a,b   Karusisi, Noëlla ^a,b   Perchoux, Camille ^a,b,c   Thomas, Frédérique ^e   Méline, Julie ^a,b  

^a INSERM   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c UNIVERSITÉ DE MONTRÉAL   (Canada)

^d AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^e Centre d'Investigations Preventives et Cliniques   (France)

^f EHESP SCHOOL OF PUBLIC HEALTH   (France)

Author keywords

Accelerometry; Energy expenditure; GPS; Physical activity; Public transportation; Transportation; Walking

Indexed keywords

ACCELEROMETER; ACCELEROMETRY; ADULT; ARTICLE; BIKING; CAR DRIVING; CONTROLLED STUDY; ELECTRONICS; ENERGY EXPENDITURE; FEMALE; FRANCE; GLOBAL POSITIONING SYSTEM; GLOBAL POSITIONING SYSTEM RECEIVER; HEALTH SURVEY; HUMAN; HUMAN EXPERIMENT; INFORMATION; MALE; MIDDLE AGED; MOTOR VEHICLE; PHYSICAL ACTIVITY; PORTABLE EQUIPMENT; PREDICTION; PUBLIC TRANSPORTATION; SEDENTARY TIME; SIMULATION; TIME; TRAFFIC AND TRANSPORT; WALKING; AGED; CYCLING; FACTUAL DATABASE; GEOGRAPHIC INFORMATION SYSTEM; INFORMATION PROCESSING; MOTOR ACTIVITY; QUESTIONNAIRE; STATISTICS AND NUMERICAL DATA;

ACCELEROMETRY; ADULT; AGED; BICYCLING; DATA COLLECTION; DATABASES, FACTUAL; FEMALE; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; MALE; MIDDLE AGED; MOTOR ACTIVITY; PARIS; SURVEYS AND QUESTIONNAIRES; TRANSPORTATION; WALKING;

EID: 84908091873     PISSN: None     EISSN: 14795868     Source Type: Journal    
DOI: 10.1186/s12966-014-0124-x     Document Type: Article

References (41)

1. Litman T. Transportation and public health. Annu Rev Public Health 2013, 34:217-233. 10.1146/annurev-publhealth-031912-114502.
2. Hamer M, Chida Y. Active commuting and cardiovascular risk: a meta-analytic review. Prev Med 2008, 46(1):9-13. 10.1016/j.ypmed.2007.03.006.
3. Wanner M, Gotschi T, Martin-Diener E, Kahlmeier S, Martin BW. Active transport, physical activity, and body weight in adults: a systematic review. Am J Prev Med 2012, 42(5):493-502. 10.1016/j.amepre.2012.01.030.
4. Rissel C, Curac N, Greenaway M, Bauman A. Physical activity associated with public transport use-a review and modelling of potential benefits. Int J Environ Res Public Health 2012, 9(7):2454-2478. 10.3390/ijerph9072454.
5. Morency C, Trépanier M, Demers M. Walking to transit: an unexpected source of physical activity. Transp Policy 2011, 18(6):800-806. 10.1016/j.tranpol.2011.03.010.
6. Webb E, Netuveli G, Millett C. Free bus passes, use of public transport and obesity among older people in England. J Epidemiol Community Health 2012, 66(2):176-180. 10.1136/jech.2011.133165.
7. MacDonald JM, Stokes RJ, Cohen DA, Kofner A, Ridgeway GK. The effect of light rail transit on body mass index and physical activity. Am J Prev Med 2010, 39(2):105-112. 10.1016/j.amepre.2010.03.016.
8. Qin L, Stolk RP, Corpeleijn E. Motorized transportation, social status, and adiposity: the China Health and Nutrition Survey. Am J Prev Med 2012, 43(1):1-10. 10.1016/j.amepre.2012.03.022.
9. Gordon-Larsen P, Nelson MC, Beam K. Associations among active transportation, physical activity, and weight status in young adults. Obes Res 2005, 13(5):868-875. 10.1038/oby.2005.100.
10. Wen LM, Rissel C. Inverse associations between cycling to work, public transport, and overweight and obesity: findings from a population based study in Australia. Prev Med 2008, 46(1):29-32. 10.1016/j.ypmed.2007.08.009.
11. Welk G. Physical Activity Assessments for Health-Related Research 2002, Human Kinetics, Champaign, IL.
12. Bohte W, Maat K. Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: a large-scale application in the Netherlands. Transp Res Part C 2009, 17(3):285-297. 10.1016/j.trc.2008.11.004.
13. Stopher PR. Use of an activity-based diary to collect household travel data. Transportation 1992, 19(2):159-176. 10.1007/BF02132836.
14. Almanza E, Jerrett M, Dunton G, Seto E, Pentz MA. A study of community design, greenness, and physical activity in children using satellite, GPS and accelerometer data. Health Place 2012, 18(1):46-54. 10.1016/j.healthplace.2011.09.003.
15. Lachowycz K, Jones AP, Page AS, Wheeler BW, Cooper AR. What can global positioning systems tell us about the contribution of different types of urban greenspace to children's physical activity?. Health Place 2012, 18(3):586-594. 10.1016/j.healthplace.2012.01.006.
16. Rodriguez DA, Cho GH, Evenson KR, Conway TL, Cohen D, Ghosh-Dastidar B, Pickrel JL, Veblen-Mortenson S, Lytle LA. Out and about: association of the built environment with physical activity behaviors of adolescent females. Health Place 2012, 18(1):55-62. 10.1016/j.healthplace.2011.08.020.
17. Chaix B, Meline J, Duncan S, Merrien C, Karusisi N, Perchoux C, Lewin A, Labadi K, Kestens Y. GPS tracking in neighborhood and health studies: a step forward for environmental exposure assessment, a step backward for causal inference?. Health Place 2013, 21C:46-51. 10.1016/j.healthplace.2013.01.003.
18. Chaix B, Meline J, Duncan S, Jardinier L, Perchoux C, Vallee J, Merrien C, Karusisi N, Lewin A, Brondeel R, Kestens Y. Neighborhood environments, mobility, and health: towards a new generation of studies in environmental health research. Rev Epidemiol Sante Publique 2013, 61(Suppl 3):S139-S145. 10.1016/j.respe.2013.05.017.
19. Auld J, Williams CA, Mohammadian AK, Nelson PC. An automated GPS-based prompted recall survey with learning algorithms. Journal of Transportation Letters 2009, 1(1):59-79. 10.3328/TL.2009.01.01.59-79.
20. Stopher PR, Collins A. Conducting a GPS Prompted Recall Survey Over the Internet. Proceedings of the 84th Annual Meeting of the Transportation Research Board 2005, Transportation Research Board, Washington, D.C.
21. Chaix B, Kestens Y, Bean K, Leal C, Karusisi N, Meghiref K, Burban J, Fon Sing M, Perchoux C, Thomas F, Merlo J, Pannier B. Cohort profile: residential and non-residential environments, individual activity spaces and cardiovascular risk factors and diseases-the RECORD cohort study. Int J Epidemiol 2012, 41(5):1283-1292. 10.1093/ije/dyr107.
22. Chaix B, Bean K, Daniel M, Zenk SN, Kestens Y, Charreire H, Leal C, Thomas F, Karusisi N, Weber C, Oppert JM, Simon C, Merlo J, Pannier B. Associations of supermarket characteristics with weight status and body fat: a multilevel analysis of individuals within supermarkets (RECORD Study). PLoS One 2012, 7(3):e32908. 10.1371/journal.pone.0032908.
23. Chaix B, Bean K, Leal C, Thomas F, Havard S, Evans D, Jégo B, Pannier B. Individual/neighborhood social factors and blood pressure in the RECORD Cohort Study: which risk factors explain the associations?. Hypertension 2010, 55(3):769-775. 10.1161/HYPERTENSIONAHA.109.143206.
24. Chaix B, Billaudeau N, Thomas F, Havard S, Evans D, Kestens Y, Bean K. Neighborhood effects on health: correcting bias from neighborhood effects on participation. Epidemiology 2011, 22(1):18-26. 10.1097/EDE.0b013e3181fd2961.
25. Leal C, Bean K, Thomas F, Chaix B. Are associations between neighborhood socioeconomic characteristics and body mass index or waist circumference based on model extrapolations?. Epidemiology 2011, 22(5):694-703. 10.1097/EDE.0b013e3182257784.
26. Leal C, Bean K, Thomas F, Chaix B. Multicollinearity in the associations between multiple environmental features and body weight and abdominal fat: using matching techniques to assess whether the associations are separable. Am J Epidemiol 2012, 175(11):1152-1162. 10.1093/aje/kwr434.
27. Chaix B, Kestens Y, Perchoux C, Karusisi N, Merlo J, Meghiref K. An interactive mapping tool to assess individual mobility patterns in neighborhood studies. Am J Prev Med 2012, 43(4):440-450. 10.1016/j.amepre.2012.06.026.
28. Duncan S, Stewart TI, Oliver M, Mavoa S, MacRae D, Badland HM, Duncan MJ. Portable global positioning system receivers: static validity and environmental conditions. Am J Prev Med 2013, 44(2):e19-e29. 10.1016/j.amepre.2012.10.013.
29. Sasaki JE, John D, Freedson PS. Validation and comparison of ActiGraph activity monitors. J Sci Med Sport 2011, 14(5):411-416. 10.1016/j.jsams.2011.04.003.
30. Thierry B, Chaix B, Kestens Y. Detecting activity locations from raw GPS data: a novel kernel-based algorithm. Int J Health Geogr 2013, 12(1):14. 10.1186/1476-072X-12-14.
31. Axhausen KW. Definition of Movement and Activity for Transport Modelling. Handbooks in Transport: Transport Modelling 2006, Elsevier, Oxford, UK, Hensher DA, Button KJ.
32. Kozey-Keadle S, Libertine A, Lyden K, Staudenmayer J, Freedson PS. Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exerc 2011, 43(8):1561-1567. 10.1249/MSS.0b013e31820ce174.
33. Crouter SE, Kuffel E, Haas JD, Frongillo EA, Bassett DR. Refined two-regression model for the ActiGraph accelerometer. Med Sci Sports Exerc 2010, 42(5):1029-1037. 10.1249/MSS.0b013e3181c37458.
34. What is the difference among the Energy Expenditure Algorithms?. Accessed on August 23 2013, https://help.theactigraph.com/entries/20744123-what-is-the-difference-among-the-energy-expenditure-algorithms
35. Wanner M, Martin BW, Meier F, Probst-Hensch N, Kriemler S. Effects of filter choice in GT3X accelerometer assessments of free-living activity. Med Sci Sports Exerc 2013, 45(1):170-177. 10.1249/MSS.0b013e31826c2cf1.
36. PNNS: Que veut dire bouger?. Accessed on August 22 2013.., http://www.mangerbouger.fr/bouger-plus/que-veut-dire-bouger.html
37. Crouter SE, Churilla JR, Bassett DR. Estimating energy expenditure using accelerometers. Eur J Appl Physiol 2006, 98(6):601-612. 10.1007/s00421-006-0307-5.
38. Hermann A, Ried-Larsen M, Jensen AK, Holst R, Andersen LB, Overgaard S, Holsgaard-Larsen A. Low validity of the Sensewear Pro3 activity monitor compared to indirect calorimetry during simulated free living in patients with osteoarthritis of the hip. BMC Musculoskelet Disord 2014, 15:43. 10.1186/1471-2474-15-43.
39. Morabia A, Mirer FE, Amstislavski TM, Eisl HM, Werbe-Fuentes J, Gorczynski J, Goranson C, Wolff MS, Markowitz SB. Potential health impact of switching from car to public transportation when commuting to work. Am J Public Health 2010, 100(12):2388-2391. 10.2105/AJPH.2009.190132.
40. Southward EF, Page AS, Wheeler BW, Cooper AR. Contribution of the school journey to daily physical activity in children aged 11-12 years. Am J Prev Med 2012, 43(2):201-204. 10.1016/j.amepre.2012.04.015.
41. Oliver M, Badland H, Mavoa S, Duncan MJ, Duncan S. Combining GPS, GIS, and accelerometry: methodological issues in the assessment of location and intensity of travel behaviors. J Phys Act Health 2010, 7(1):102-108.