Active transportation and public transportation use to achieve physical activity recommendations? A combined GPS, accelerometer, and mobility survey study
Tóm tắt
Accurate information is lacking on the extent of transportation as a source of physical activity, on the physical activity gains from public transportation use, and on the extent to which population shifts in the use of transportation modes could increase the percentage of people reaching official physical activity recommendations. In 2012-2013, 234 participants of the RECORD GPS Study (French Paris region, median age = 58) wore a portable GPS receiver and an accelerometer for 7 consecutive days and completed a 7-day GPS-based mobility survey (participation rate = 57.1%). Information on transportation modes and accelerometry data aggregated at the trip level [number of steps taken, energy expended, moderate to vigorous physical activity (MVPA), and sedentary time] were available for 7,644 trips. Associations between transportation modes and accelerometer-derived physical activity were estimated at the trip level with multilevel linear models. Participants spent a median of 1 h 58 min per day in transportation (8.2% of total time). Thirty-eight per-cent of steps taken, 31% of energy expended, and 33% of MVPA over 7 days were attributable to transportation. Walking and biking trips but also public transportation trips with all four transit modes examined were associated with greater steps, MVPA, and energy expenditure when compared to trips by personal motorized vehicle. Two simulated scenarios, implying a shift of approximately 14% and 33% of all motorized trips to public transportation or walking, were associated with a predicted 6 point and 13 point increase in the percentage of participants achieving the current physical activity recommendation. Collecting data with GPS receivers, accelerometers, and a GPS-based electronic mobility survey of activities and transportation modes allowed us to investigate relationships between transportation modes and physical activity at the trip level. Our findings suggest that an increase in active transportation participation and public transportation use may have substantial impacts on the percentage of people achieving physical activity recommendations.
Tài liệu tham khảo
Litman T: Transportation and public health. Annu Rev Public Health. 2013, 34: 217-233. 10.1146/annurev-publhealth-031912-114502.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Welk G: Physical Activity Assessments for Health-Related Research. 2002, Human Kinetics, Champaign, IL
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.
Stopher PR: Use of an activity-based diary to collect household travel data. Transportation. 1992, 19 (2): 159-176. 10.1007/BF02132836.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Axhausen KW: Definition of Movement and Activity for Transport Modelling. Handbooks in Transport: Transport Modelling. Edited by: Hensher DA, Button KJ. 2006, Elsevier, Oxford, UK
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.
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.
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]
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.
PNNS: Que veut dire bouger?. Accessed on August 22 2013., [http://www.mangerbouger.fr/bouger-plus/que-veut-dire-bouger.html]
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.
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.
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.
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.
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.