期刊论文详细信息
BMC Public Health
Active transport between home and school assessed with GPS: a cross-sectional study among Dutch elementary school children
Frank H Pierik3  Jamie MA Graham3  Sanne I de Vries2  Dirk Dessing1 
[1]Department of Public & Occupational Health and EMGO+ Institute, VU University Medical Center, Amsterdam, The Netherlands
[2]Research group Healthy Lifestyle in a Supporting Environment, The Hague University of Applied Sciences, Johanna Westerdijkplein 75, The Hague, The Netherlands
[3]TNO, Department of Urban Environment and Safety, Utrecht, The Netherlands
关键词: Cycling;    Walking;    Mode of transport;    Global positioning system (GPS);    Children;    Elementary school;   
Others  :  1132360
DOI  :  10.1186/1471-2458-14-227
 received in 2013-06-13, accepted in 2014-02-27,  发布年份 2014
PDF
【 摘 要 】

Background

Active transport to school is associated with higher levels of physical activity in children. Promotion of active transport has therefore gained attention as a potential target to increase children’s physical activity levels. Recent studies have recognized that the distance between home and school is an important predictor for active travel among children. These studies did not yet use the promising global positioning system (GPS) methods to objectively assess active transport. This study aims to explore active transport to school in relation to the distance between home and school among a sample of Dutch elementary school children, using GPS.

Methods

Seventy-nine children, aged 6-11 years, were recruited in six schools that were located in five cities in the Netherlands. All children were asked to wear a GPS receiver for one week. All measurements were conducted between December 2008 and April 2009. Based on GPS recordings, the distance of the trips between home and school were calculated. In addition, the mode of transport (i.e., walking, cycling, motorized transport) was determined using the average and maximum speed of the GPS tracks. Then, proportion of walking and cycling trips to school was determined in relation to the distance between home and school.

Results

Out of all school trips that were recorded (n = 812), 79.2% were classified as active transport. On average, active commuting trips were of a distance of 422 meters with an average speed of 5.2 km/hour. The proportion of walking trips declined significantly at increased school trip distance, whereas the proportion of cycling trips (β = 1.23, p < 0.01) and motorized transport (β = 3.61, p < 0.01) increased. Almost all GPS tracks less than 300 meters were actively commuted, while of the tracks above 900 meters, more than half was passively commuted.

Conclusions

In the current research setting, active transport between home and school was the most frequently used mode of travel. Increasing distance seems to be associated with higher levels of passive transport. These results are relevant for those involved in decisions on where to site schools and residences, as it may affect healthy behavior among children.

【 授权许可】

   
2014 Dessing et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150303170327170.pdf 406KB PDF download
Figure 3. 60KB Image download
Figure 2. 50KB Image download
Figure 1. 117KB Image download
【 图 表 】

Figure 1.

Figure 2.

Figure 3.

【 参考文献 】
  • [1]Strong WB, Malina RM, Blimkie CJR, Daniels SR, Dishman RK, Gutin B, Hergenroeder AC, Must A, Nixon PA, Pivarnik JM: Evidence based physical activity for school-age youth. J Pediatr 2005, 146(6):732-737.
  • [2]Janssen I, LeBlanc AG: Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act 2010, 7:40. BioMed Central Full Text
  • [3]World Health Organization: Global recommendations on physical activity for health. Geneva: WHO Press; 2010.
  • [4]Kemper HGC, Ooijendijk WTM, Stiggelbout M: Consensus over de Nederlandse Norm voor Gezond Bewegen. Tijdschr Soc Gezondheidsz 2000, 78:180-183.
  • [5]De Vries SI, Hopman-Rock M, Bakker I, Van Mechelen W: Meeting the 60-min physical activity guideline: effect of operationalization. Med Sci Sports Exerc 2009, 41(1):81-86.
  • [6]Ekelund U, Tomkinson G, Armstrong N: What proportion of youth are physically active? Measurement issues, levels and recent time trends. Br J Sports Med 2011, 45(11):859-865.
  • [7]De Vries SI, Chorus AMJ: Bewegen in Nederland: jeugdigen van 4-17 jaar. In TNO Trendrapport Bewegen en Gezondheid. Edited by Hildebrandt VH, Chorus AMJ, Stubbe JH. Leiden: De Bink; 2010:57-76.
  • [8]Faulkner GE, Buliung RN, Flora PK, Fusco C: Active school transport, physical activity levels and body weight of children and youth: a systematic review. Prev Med 2009, 48(1):3-8.
  • [9]Lubans DR, Boreham CA, Kelly P, Foster CE: The relationship between active travel to school and health-related fitness in children and adolescents: a systematic review. Int J Behav Nutr Phys Act 2011, 8:5. BioMed Central Full Text
  • [10]van Sluijs EM, Fearne VA, Mattocks C, Riddoch C, Griffin SJ, Ness A: The contribution of active travel to children’s physical activity levels: cross-sectional results from the ALSPAC study. Prev Med 2009, 48(6):519-524.
  • [11]Tudor-Locke C, Ainsworth BE, Popkin BM: Active commuting to school: an overlooked source of childrens’ physical activity? Sports Med 2001, 31(5):309-313.
  • [12]Cooper AR, Page AS, Wheeler BW, Griew P, Davis L, Hillsdon M, Jago R: Mapping the walk to school using accelerometry combined with a global positioning system. Am J Prev Med 2010, 38(2):178-183.
  • [13]Frank LD, Engelke P: Multiple impacts of the built environment on public health: Walkable places and the exposure to air pollution. Int Reg Sci Rev 2005, 28(2):193-216.
  • [14]Maibach E, Steg L, Anable J: Promoting physical activity and reducing climate change: opportunities to replace short car trips with active transport. Prev Med 2009, 49(4):326-327.
  • [15]McDonald NC: Active transport to school: trends among U.S. schoolchildren, 1969-2001. Am J Prev Med 2007, 32(6):509-516.
  • [16]Van der Ploeg HP, Merom D, Corpuz G, Bauman AE: Trends in Australian children traveling to school 1971–2003: burning petrol or carbohydrates? Prev Med 2008, 46(1):60-62.
  • [17]Grize L, Bringolf-Isler B, Martin E, Braun-Fahrländer C: Trend in active transport to school among Swiss school children and its associated factors: three cross-sectional surveys 1994, 2000 and 2005. Int J Behav Nutr Phys Act 2010, 7:28. BioMed Central Full Text
  • [18]Pucher J, Buehler R: Making cycling irresistible: Lessons from the Netherlands, Denmark and Germany. Transport Rev 2008, 28(4):495-528.
  • [19]Davison KK, Werder JL, Lawson CT: Children’s active commuting to school: current knowledge and future directions. Prev Chronic Dis 2008, 5(3):A100.
  • [20]Panter JR, Jones AP, van Sluijs EM, Griffin SJ: Attitudes, social support and environmental perceptions as predictors of active commuting behaviour in school children. J Epidemiol Community Health 2010, 64(1):41-48.
  • [21]Wong BY, Faulkner G, Buliung R: GIS measured environmental correlates of active school transport: a systematic review of 14 studies. Int J Behav Nutr Phys Act 2011, 8:39. BioMed Central Full Text
  • [22]Timperio A, Ball K, Salmon J, Roberts R, Giles-Corti B, Simmons D, Baur LA, Crawford D: Personal, family, social, and environmental correlates of active commuting to school. Am J Prev Med 2006, 30(1):45-51.
  • [23]McMillan TE: The relative influence of urban form on a child’s travel mode to school. Transport Res Part A Policy Prac 2007, 41(1):69-79.
  • [24]Pont K, Ziviani J, Wadley D, Bennett S, Abbott R: Environmental correlates of children’s active transport: a systematic literature review. Health Place 2009, 15(3):827-840.
  • [25]Ziviani J, Scott J, Wadley D: Walking to school: incidental physical activity in the daily occupations of Australian children. Occup Ther Int 2004, 11(1):1-11.
  • [26]McDonald NC: Children’s mode choice for the school trip: the role of distance and school location in walking to school. Transport 2008, 35(1):23-35.
  • [27]Duncan MJ, Mummery WK: GIS or GPS? A comparison of two methods for assessing route taken during active transport. Am J Prev Med 2007, 33(1):51-53.
  • [28]Schlossberg M, Greene J, Phillips PP, Johnson B, Parker B: School trips: effects of urban form and distance on travel mode. J Am Planning Association 2006, 72(3):337-346.
  • [29]de Vries SI, Hopman-Rock M, Bakker I, Hirasing RA, van Mechelen W: Built environmental correlates of walking and cycling in Dutch urban children: results from the SPACE study. Int J Environ Res Public Health 2010, 7(5):2309-2324.
  • [30]Jones AP, Coombes EG, Griffin SJ, van Sluijs EM: Environmental supportiveness for physical activity in English schoolchildren: a study using Global Positioning Systems. Int J Behav Nutr Phys Act 2009, 6:42. BioMed Central Full Text
  • [31]Quigg R, Gray A, Reeder AI, Holt A, Waters DL: Using accelerometers and GPS units to identify the proportion of daily physical activity located in parks with playgrounds in New Zealand children. Prev Med 2010, 50(5–6):235-240.
  • [32]Kerr J, Duncan S, Schipperijn J: Using global positioning systems in health research: a practical approach to data collection and processing. Am J Prev Med 2011, 41(5):532-540.
  • [33]de Vries SI, Bakker I, van Mechelen W, Hopman-Rock M: Determinants of activity-friendly neighborhoods for children: results from the SPACE study. Am J Health Promot 2007, 21(Suppl 4):312-316.
  • [34]Cole TJ, Bellizzi MC, Flegal KM, Dietz WH: Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000, 320(7244):1240-1243.
  • [35]TNO URBIS http://www.tno.nl/urbis webcite
  • [36]Maas J, Sterkenburg RP, de Vries SI, Pierik F: Using GPS to measure the interaction between indiciduals and their neighborhood. In Neighbourhood Structure and Health Promotion: An Introduction. Edited by Stock C, Ellaway A. US: Springer; 2013:153-176.
  • [37]Bonner MR, Han D, Nie J, Rogerson P, Vena JE, Freudenheim JL: Positional accuracy of geocoded addresses in epidemiologic research. Epidemiology 2003, 14(4):408-412.
  • [38]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. Transport Res Part C Emerg Technol 2009, 17(3):285-297.
  • [39]Yeung J, Wearing S, Hills AP: Child transport practices and perceived barriers in active commuting to school. Transport Res Part A Policy Prac 2008, 42(6):895-900.
  • [40]Yang Y, Diez Roux AV, Bingham CR: Variability and seasonality of active transport in USA: evidence from the 2001 NHTS. Int J Behav Nutr Phys Act 2011, 8:96. BioMed Central Full Text
  • [41]Statistics Netherlands, CBS: Statline http://statline.cbs.nl/ webcite
  • [42]Mitra R, Buliung RN, Roorda MJ: Built environment and school travel mode choice in Toronto, Canada. Transport Res Rec J Transport Res Board 2010, 2156:150-159.
  • [43]Ahlport KN, Linnan L, Vaughn A, Evenson KR, Ward DS: Barriers to and facilitators of walking and bicycling to school: formative results from the non-motorized travel study. Health Educ Behav 2008, 35(2):221-244.
  • [44]Jacobsen PL: Safety in numbers: more walkers and bicyclists, safer walking and bicycling. Injury Prev 2003, 9(3):205-209.
  • [45]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.
  • [46]Klinker CD, Schipperijn J, Christian H, Kerr J, Ersbøll AK, Troelsen J: Using accelerometers and global positioning system devices to assess gender and age differences in children’s school, transport, leisure and home based physical activity. Int J Behav Nutr Phys Act 2014, 11(1):8. BioMed Central Full Text
  • [47]de Vries SI, Garre FG, Engbers LH, Hildebrandt VH, Van Buuren S: Evaluation of neural networks to identify types of activity using accelerometers. Med Sci Sports Exerc 2011, 43(1):101-107.
  文献评价指标  
  下载次数:30次 浏览次数:39次