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BMC Public Health
Published in: BMC Public Health 1/2018

Open Access 01-12-2018 | Research article

Understanding child and parent perceptions of barriers influencing children’s active school travel

Authors: Katherine Wilson, Andrew F. Clark, Jason A. Gilliland

Published in: BMC Public Health | Issue 1/2018

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Abstract

Background

Physical activity plays a fundamental role in the health and well-being of children. Walking is the most common form of physical activity and the journey to and from school provides an opportunity for children to be active every day. This study examines how child and parent perceptions of barriers to active school travel influences children’s behaviour.

Methods

Participants were recruited from 48 elementary schools in Southwestern Ontario, Canada. The study sample includes 1296 children (ages 9–14 years) who live within walking distance of their school, defined as 1.6 km network distance. Chi-square analysis examined differences between child and parent perceptions of barriers to active school travel. Logistic regression models examined how parent and child perceptions of barriers influence active school travel behaviour, while controlling for key intrapersonal, interpersonal, and physical environment factors.

Results

The results indicate that there are significant differences in how parents and children perceive barriers to active school travel. Model results find older children, children without siblings, households with no vehicles, and children who live closer to school are most likely to use active school travel. Parent perceptions of barriers are found to have a greater influence on children’s active school travel behaviour than children’s perceptions. Different perceptions of barriers influence active school travel to school compared to returning home from school.

Conclusions

Child and parent perceptions of barriers to active school travel differ and have different impacts on children’s travel behaviour. Understanding how child and parent perceptions of barriers differ can help policymakers and practitioners develop specialized interventions aimed at increasing children’s use of active school travel and children’s overall physical activity. Interventions used to promote active school travel should focus on safety, as well as perceptions of distance to break parental habits of routinely driving their children to school. Overall, this study highlights the importance of considering both child and parent perceptions to create a safe and accessible environment to allow for an increase in active school travel behaviour among elementary school children who live within walking distance of their school.
Literature
1.
de Moraes Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, et al. Moderate-to-vigorous physical activity and sedentary behavior: independent associations with body composition variables in Brazilian children. Pediatr Exerc Sci. 2015;27:380–9.CrossRef
2.
3.
Biddle SJH, Asare M. Physical activity and mental health in children and adolescents: a review of reviews. Br J Sports Med. 2011;45:886-95.
4.
5.
6.
7.
8.
Larsen K, Gilliland J, Hess PM. Route-based analysis to capture the environmental influences on a Child’s mode of travel between home and school. Ann Assoc Am Geogr. 2012;102:1348–65.CrossRef
9.
Tremblay MS, Warburton DE, Janssen I, Paterson DH, Latimer AE, Rhodes RE, et al. New Canadian physical activity guidelines. Appl Physiol Nutr Metab NRC Res Press Appl Physiol Nutr Metab. 2011;36:36–46.CrossRef
10.
Faulkner GEJ, 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;48:3–8.CrossRefPubMed
11.
McDonald NC. Active transportation to school. Trends among U.S. schoolchildren, 1969-2001. Am J Prev Med. 2007;32:509–16.CrossRefPubMed
12.
Henne HM, Tandon PS, Frank LD, Saelens BE. Parental factors in children’s active transport to school. Public Health. 2014;128:643-6.
13.
Mendoza JA, Watson K, Nguyen N, Cerin E, Baranowski T, Nicklas TA. Active commuting to school and association with physical activity and adiposity among US youth. J Phys Act Health. 2011;8:488–95.CrossRefPubMedPubMedCentral
14.
Larouche R, Saunders TJ, Edward G, Faulkner J, Colley R, Tremblay M. Associations between active school transport and physical activity, body composition, and cardiovascular fitness: a systematic review of 68 studies. J Phys Act Health. 2014;11:206–27.CrossRefPubMed
15.
Voss C, Winters M, Frazer A, McKay H. School-travel by public transit: rethinking active transportation. Prev Med Reports. 2015;2:65–70.CrossRef
16.
Buliung RN, Mitra R, Faulkner G. Active school transportation in the greater Toronto area, Canada: an exploration of trends in space and time (1986-2006). Prev Med. 2009;48:507–12.CrossRefPubMed
17.
18.
Lu W, Lisako E, Mckyer J, Lee C, Goodson P, Ory MG, et al. Perceived barriers to children’s active commuting to school: a systematic review of empirical, methodological and theoretical evidence. 2014;
19.
McMillan TE. Urban form and a Child’s trip to school: the current literature and a framework for future research. J Plan Lit. 2005;19:440–56.CrossRef
20.
21.
ParticipACTION. The ParticipACTION Report Card on Physical Activity for Children and Youth ARE CANADIAN KIDS TOO TIRED TO MOVE? 2016;
22.
23.
Glasgow RE, Permanente K. Perceived barriers to self-management and preventive behaviors. 2012.
24.
Line T, Chatterjee K, Lyons G. The travel behaviour intentions of young people in the context of climate change. J Transp Geogr. 2010;18:238–46.CrossRef
25.
Neuwelt P, Kearns R. Health benefits of walking school buses in Auckland. New Zealand: Perceptions of Children and Adults. Children, Youth and Environments; 2006.
26.
Fusco C, Moola F, Faulkner G, Buliung R, Richichi V. Toward an understanding of childrens perceptions of their transport geographies: (non)active school travel and visual representations of the built environment. J Transp Geogr. 2012;20:62–70.
27.
Holt NL, Spence JC, Sehn ZL, Cutumisu N. Neighborhood and developmental differences in children’s perceptions of opportunities for play and physical activity. Health Place. 2008;14:2–14.CrossRefPubMed
28.
Mitchell H, Kearns RA, Collins DCA. Nuances of neighbourhood: Children’s perceptions of the space between home and school in Auckland. New Zealand Geoforum. 2007;38:614–27.
29.
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 Heal. 2010;64:41–8.CrossRef
30.
31.
32.
33.
Timperio A, Crawford D, Telford A, Salmon J. Perceptions about the local neighbourhood and walking and cycling among children. Prev Med. 2004;38:39–47.CrossRefPubMed
34.
35.
36.
Larouche R. Built environment features that promote cycling in school-aged children. Curr Obes Rep. 2015;4:494–503.CrossRefPubMed
37.
Carlson JA, Sallis JF, Kerr J, Conway TL, Cain K, Frank LD, et al. Built environment characteristics and parent active transportation are associated with active travel to school in youth age 12–15. Br J Sports Med. 2014;48:1634-39.
38.
Giles-Corti B, Donovan RJ. The relative influence of individual, social and physical environment determinants of physical activity. Soc Sci Med. 2002;54:1793–812.CrossRefPubMed
39.
40.
Eyler AA, Brownson RC, Bacak SJ, Housemann RA. The epidemiology of walking for physical activity in the United States. Med Sci Sports Exerc. 2003;35:1529–36.CrossRefPubMed
41.
Sallis JF, Owen N, Fisher E. Ecological models of health behaviour. In: Glanz K, Rimer B, Viswanath K, editors. Heal Behav heal Educ theory, res Pract. United States: Josey–Bass; 2008. p. 465–82.
42.
Stokols D. Translating social ecological theory into guidelines for community health promotion. Am J Heal Promot. 1996;10:282–98.
43.
Oliver M, Badland H, Mavoa S, Witten K, Kearns R, Ellaway A, et al. Environmental and socio-demographic associates of children’s active transport to school: a cross-sectional investigation from the URBAN study. Int J Behav Nutr Phys Act. 2014;11. Available from: https://​doi.​org/​10.​1186/​1479-5868-11-70.
44.
Larsen K, Gilliland J, Hess P, Tucker P, Irwin J, He M. The influence of the physical environment and sociodemographic characteristics on children’s mode of travel to and from school. Am J Public Health. 2009;99:520–6.CrossRefPubMedPubMedCentral
45.
46.
Cerin E, Saelens BE, Sallis JF, Frank LD. Neighborhood environment walkability scale: validity and development of a short form. Med Sci Sports Exerc. 2006;38:1682–91.CrossRefPubMed
47.
Saelens BE, Sallis JF, Black JB. Neighbourhood-based differences in physical activity: Anenvironment scale evaluation. Am J Public Health. 2004;93:1552–8.CrossRef
48.
Kerr J, Rosenberg D, Sallis JF, Saelens BE, Frank LD, Conway TL. Active commuting to school: associations with environment and parental concerns. Med Sci Sports Exerc. 2006;38:787–94.CrossRefPubMed
49.
50.
Mcleroy KR, Bibeau D, Steckler A, Glanz K. An ecological perspective on health promotion programs. Health Educ Q. 1988;15:351-377.
51.
Statistics Canada. National household survey. 2011;
52.
ESRI. ArcGIS Desktop v10.4. Redlands, CA: Environmental Systems Research Institute; 2017.
53.
Corp IBM. IBM SPSS statistics for windows. Armonk, NY: IBM Corp.; 2016.
54.
Stata Statistical Software. Stata Corp. 2013;
55.
56.
Hilbe JM. Logistic Regression. Int Encycl Stat Sci. Berlin, Heidelberg: Springer Berlin Heidelberg; 2011. p. 755–8.CrossRef
57.
Field A. Disovering statistics using SPSS. 3rd ed. Thousand Oaks, CA: SAGE Publications; 2009.
58.
Alparone FR, Pacilli MG. On children’s independent mobility: the interplay of demographic, environmental, and psychosocial factors. Child Geogr Routledge. 2012;10:109–22.CrossRef
59.
Lorenc T, Brunton G, Oliver S, Oliver K, Oakley A. Attitudes to walking and cycling among children, young people and parents: a systematic review. J Epidemiol Community Health BMJ Publishing Group Ltd. 2008;62:852–7.CrossRef
60.
Mitra R, Faulkner GE, Buliung RN, Stone MR. Do parental perceptions of the neighbourhood environment influence children’s independent mobility? Evidence from Toronto, Canada. Urban stud, vol. 51. London, England: SAGE PublicationsSage UK; 2014. p. 3401–19.
61.
Rodríguez A, Vogt CA. Demographic, environmental, access, and attitude factors that influence walking to school by elementary school-aged children. J Sch Health Blackwell Publishing Inc. 2009;79:255–61.
62.
McDonald N. Is there a gender gap in school travel? An examination of US children and adolescents. J Transp Geogr. 2012;20:80–6.CrossRef
63.
Ziviani J, Scott J, Wadley D. Walking to school: incidental physical activity in the daily occupations of Australian children. Occup Ther Int. 2004;11:1–11.CrossRefPubMed
64.
Christian HE, Villanueva K, Klinker CD, Knuiman MW, Divitini M, Giles-Corti B. The effect of siblings and family dog ownership on children’s independent mobility to neighbourhood destinations. Aust NZ J Public Health. 2016;40:316–8.CrossRef
65.
De Nazelle A, Nieuwenhuijsen MJ, Antó JM, Brauer M, Briggs D, Braun-Fahrlander C, et al. Improving health through policies that promote active travel: a review of evidence to support integrated health impact assessment. Environ Int. 2011;37:766–77.CrossRefPubMed
66.
Babey SH, Hastert TA, Huang W, Brown ER. Sociodemographic, family, and environmental factors associated with active commuting to school among US adolescents. J public health policy. Palgrave Macmillan UK. 2009;30:S203–20.
67.
68.
McDonald N, Aalborg A. Why parents drive children to school: implications for safe routes to school programs. J Am Plan Assoc. 2017;75:331–42.CrossRef
69.
Shaw B, Watson B, Frauendienst B, Redecker A, Jones T. Children’s independent mobility: a comparative study in England and Germany (1971–2010). Policy Studies Institute. London; 2013.
70.
Clark AF. Understanding determinants of active travel. 2012;
71.
72.
Zhu X, Lee C. Correlates of walking to school and implications for public policies: survey results from parents of elementary school children in Austin. Texas J Public Health Policy Palgrave Macmillan UK. 2009;30:S177–202.CrossRef
73.
Carver A, Salmon J, Campbell K, Baur L, Garnett S, Crawford D. How do perceptions of local neighborhood relate to adolescents’ walking and cycling? Am J Health Promot. 2005;20:139–47.CrossRefPubMed
74.
Panter JR, Jones AP, van Sluijs EM. Environmental determinants of active travel in youth: A review and framework for future research. Int J Behav Nutr Phys Act BioMed Central. 2008;5:34.CrossRef
75.
Skaggs DL, Early SD, D’Ambra P, Tolo VT, Kay RM. Back pain and backpacks in school children. J Pediatr Orthop. 2006;26:358–63.CrossRefPubMed
76.
77.
Davison KK, Werder JL, Lawson CT. Children’s active commuting to school: current knowledge and future directions. Prev Chronic Dis Cent Dis Cont Prev. 2008;5:A100.
78.
Mah SK, Nettlefold L, Macdonald HM, Winters M, Race D, Voss C, et al. Does parental support influence children’s active school travel? Prev med reports. Elsevier. 2017;6:346–51.
79.
80.
Sallis J, Owen N. Ecological models of health behavior. In: Glanz B, Rimer K, Viswanath K, editors. Heal Behav heal Educ. 5th ed. San Fransisco, CA: Jossey-Bass; 2015. p. 43–64.
81.
Mammen G, Stone MR, Faulkner G, Ramanathan S, Buliung R, O’Brien C, et al. Active school travel: an evaluation of the Canadian school travel planning intervention. Prev Med. 2014;60:55.CrossRefPubMed
82.
Pabayo R, Gauvin L, Barnett TA. Longitudinal changes in active transportation to School in Canadian Youth Aged 6 through 16 years. Pediatrics. 2011;128:e404–13.CrossRefPubMed
83.
84.
Active and Safe Routes to School. School Travel Planning. 2016.
85.
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;7:2309–24.CrossRefPubMedPubMedCentral
86.
Wong BY-M, 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.CrossRefPubMedPubMedCentral
87.
Aguinis H, Edwards JR. Methodological wishes for the next decade and how to make wishes come true. J Manag Stud. 2014;51:143–74.CrossRef
88.
89.
Healy MA, Gilliland JA. Quantifying the magnitude of environmental exposure misclassification when using imprecise address proxies in public health research. Spat Spatiotemporal Epidemiol. 2012;3:55–67.CrossRefPubMed
90.
Duncan EK, Scott Duncan J, Schofield G. Pedometer-determined physical activity and active transport in girls. Int J Behav Nutr Phys Act BioMed Central. 2008;5:2.CrossRef
Metadata
Title
Understanding child and parent perceptions of barriers influencing children’s active school travel
Authors
Katherine Wilson
Andrew F. Clark
Jason A. Gilliland
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2018
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-018-5874-y

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