Impact of Walking School Bus Programs on Self-Efficacy and Outcome Expectations

Click name to view affiliation

Nicole Cramer
Search for other papers by Nicole Cramer in
Current site
Google Scholar
PubMed
Close
,
Miriam J. Haviland
Search for other papers by Miriam J. Haviland in
Current site
Google Scholar
PubMed
Close
,
Chuan Zhou
Search for other papers by Chuan Zhou in
Current site
Google Scholar
PubMed
Close
, and
Jason A. Mendoza
Search for other papers by Jason A. Mendoza in
Current site
Google Scholar
PubMed
Close
Restricted access

Background: A walking school bus (WSB) consists of students and adults walking to and from school and promotes active commuting to school. Self-efficacy (SE) and outcome expectations (OE) are behavioral constructs associated with active commuting to school. The authors sought to assess the impact of a WSB program on child SE, and parent SE, and OE. Methods: The authors conducted a cluster randomized controlled trial of a WSB intervention from 2012 to 2016 among 22 elementary schools serving racially diverse, low-income populations in Houston, TX and Seattle, WA. Surveys collected data from third- to fifth-grade students and their parents, (n = 418) child-parent dyads, before school randomization and at the school year’s end. Child surveys included 16 SE items, while parent surveys included 15 SE items and 14 OE items. Scores were averaged from responses ranging from 1 to 3. The authors compared changes in SE and OE between groups over time and accounted for clustering using linear mixed-effects models. Results: The intervention group had increases in child SE of 0.12 points (P = .03), parent SE of 0.11 points (P = .048), and parent OE of 0.09 points (P = .02) compared to controls over time. Conclusions: As hypothesized, the WSB improved child SE, parent SE, and parent OE related to active commuting to school.

Cramer, Haviland, Zhou, and Mendoza are with the Seattle Children’s Research Institute, Seattle, WA, USA. Cramer and Mendoza are also with the School of Public Health, University of Washington, Seattle, WA, USA. Zhou and Mendoza are also with the Department of Pediatrics, University of Washington, Seattle, WA, USA. Mendoza is also with the Cancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Mendoza (Jason.Mendoza@seattlechildrens.org) is corresponding author.
  • Collapse
  • Expand
  • 1.

    Physical Activity Guidelines Advisory Committee. Physical Activity Guidelines Advisory Committee Report. Washington, DC: U.S. Department of Health and Human Services; 2008.

    • Search Google Scholar
    • Export Citation
  • 2.

    McDonald NC, Steiner RL, Lee C, Smith TR, Zhu X, Yang Y. Impact of the safe routes to school program on walking and bicycling. J Am Plan Assoc. 2014;80(2):153167. doi:10.1080/01944363.2014.956654

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 3.

    Office of Disease Prevention and Health Promotion. Physical activity. 2010. Retrieved from https://www.healthypeople.gov/2020/topics-objectives/topic/physical-activity/objectives. Accessed November 5, 2018.

    • Search Google Scholar
    • Export Citation
  • 4.

    Biddle SJH, Asare M. Physical activity and mental health in children and adolescents: a review of reviews. Br J Sports Med. 2011;45(11):886895. PubMed ID: 21807669 doi:10.1136/bjsports-2011-090185

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Hills AP, Dengel DR, Lubans DR. Supporting public health priorities: recommendations for physical education and physical activity promotion in schools. Prog Cardiovasc Dis. 2015;57(4):368374. PubMed ID: 25269062 doi:10.1016/j.pcad.2014.09.010

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    McDonald NC, Brown AL, Marchetti LM, Pedroso MS. U.S. School Travel, 2009: an assessment of trends. Am J Prev Med. 2011;41(2):146151. doi:10.1016/j.amepre.2011.04.006

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    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(4):488495. PubMed ID: 21597121 doi:10.1123/jpah.8.4.488

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    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. 2008;48(1):38. doi:10.1016/j.ypmed.2008.10.017

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    Engwicht D. Reclaiming Our Cities and Towns: Better Living with Less Traffic. Philadelphia: New Society Pub; 1993.

  • 10.

    Mendoza JA, Watson K, Baranowski T, Nicklas TA, Uscanga DK, Hanfling MJ. The walking school bus and children’s physical activity: a pilot cluster randomized controlled trial. Pediatrics. 2011;128(3):e537e544. PubMed ID: 21859920 doi:10.1542/peds.2010-3486

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Mendoza JA, Cowan D, Liu Y. Predictors of children’s active commuting to school: an observational evaluation in five us communities. J Phys Act Health. 2013;11(4):729733. PubMed ID: 23575275 doi:10.1123/jpah.2012-0322

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 12.

    Huang C, Dannenberg AL, Haaland W, Mendoza JA. Changes in self-efficacy and outcome expectations from child participation in bicycle trains for commuting to and from school. Heal Educ Behav. 2018;45(5):748755. doi:10.1177/1090198118769346

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 13.

    Van DH, Paw MJCA, Twisk JWR, Mechelen WV. A brief review on correlates of physical activity and sedentariness in youth. Med Sci Sport Exerc. 2007;39(8):12411250. doi:10.1249/mss.0b013e318059bf35

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 14.

    Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Adv Behav Res Ther. 1977;1(4):139161. doi:10.1016/0146-6402(78)90002-4

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 15.

    Archambault FX, St. Pierre RG. The effect of federal policy on services delivered through esea title I. Educ Eval Policy Anal. 1980;2(3):3346. doi:10.2307/1163596

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 16.

    Mendoza JA, Watson K, Baranowski T, et al. Ethnic minority children’s active commuting to school and association with physical activity and pedestrian safety behaviors. J Appl Res Child. 2010;1(1):123. PubMed ID: 21874160

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Burdette HL, Whitaker RC. A national study of neighborhood safety, outdoor play, television viewing, and obesity in preschool children. Pediatrics. 2005;116(3):657662. PubMed ID: 16140705 doi:10.1542/peds.2004-2443

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    D’Haese S, De Meester F, De Bourdeaudhuij I, Deforche B, Cardon G. Criterion distances and environmental correlates of active commuting to school in children. Int J Behav Nutr Phys Act. 2011;8(1):110. doi:10.1186/1479-5868-8-88

    • Search Google Scholar
    • Export Citation
  • 19.

    Lu W, Mckyer ELJ, Lee C, Wang S, Goodson P, Ory MG. Active commuting to school: a test of a modified integrative model. Am J Health Behav. 2014;38(6):900913. PubMed ID: 25207515 doi:10.5993/AJHB.38.6.12

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 20.

    Molnar BE, Gortmaker SL, Bull FC, Buka SL. Unsafe to play? neighborhood disorder and lack of safety predict reduced physical activity among urban children and adolescents. Am J Heal Promot. 2004;18(5):378386. doi:10.4278/0890-1171-18.5.378

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 21.

    R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing: Vienna, Austria; 2019.

  • 22.

    Campbell MK, Piaggio G, Elbourne DR, Altman DG. Consort 2010 statement: extension to cluster randomised trials. BMJ Br Med J. 2012;345:121. doi:10.1136/bmj.e5661

    • Search Google Scholar
    • Export Citation
  • 23.

    Lu W, McKyer ELJ, Lee C, Ory MG, Goodson P, Wang S. Children’s active commuting to school: an interplay of self-efficacy, social economic disadvantage, and environmental characteristics. Int J Behav Nutr Phys Act. 2015;12(1):114. doi:10.1186/s12966-015-0190-8

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 24.

    Cnaan A, Laird NM, Slasor P. Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data. Stat Med. 1997;16(20):23492380. PubMed ID: 9351170 doi:10.1002/(SICI)1097-0258(19971030)16:20<2349::AID-SIM667>3.0.CO;2-E

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Tavakol M, Dennick R. Making sense of Cronbach’s alpha. Int J Med Educ. 2011;2:5355. PubMed ID: 28029643 doi:10.5116/ijme.4dfb.8dfd

  • 26.

    Thompson DD, Lingsma HF, Whiteley WN, Murray GD, Steyerberg EW. Covariate adjustment had similar benefits in small and large randomized controlled trials. J Clin Epidemiol. 2015;68(9):10681075. PubMed ID: 25497979 doi:10.1016/j.jclinepi.2014.11.001

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 1882 532 18
Full Text Views 46 26 5
PDF Downloads 34 18 2