Literature DB >> 17888852

Estimating the proportion of children who can walk to school.

Matthew D Falb1, Dafna Kanny, Kenneth E Powell, Anthony J Giarrusso.   

Abstract

BACKGROUND: Walking to school can be an important contributor to the daily physical activity of children. However, little is known about the percentage of children who could reasonably be expected to walk to school. The purpose of this study was to estimate the percentage of children in Georgia who live within a safe and reasonable walking distance from school and to identify demographic, school, and neighborhood connectivity characteristics associated with the potential to walk to school.
METHODS: Geographic information systems techniques were used to estimate the number of school-age children living 1 mile and 0.5 mile from public schools in Georgia. Potential walkers were estimated by dividing the number of children living in the specified distances from school in the 2000 U.S. Census by the number of children enrolled at the school in the 1999-2000 school year. Safety parameters were based on posted speed limits.
RESULTS: The percentage of potential walkers ranged from 1% to 51% depending on grade group and parameters of distance and safety. Using preferred parameters of distance and safety we estimated that 6% of elementary school students (K-5), 11% of middle school students (6 to 8), and 6% of high school students could walk to school. High population density, small enrollment size, and high street connectivity were associated with higher percentages of potential walkers.
CONCLUSIONS: While few children could reasonably be expected to walk, this does not reduce the value of walking to school. Increasing the percentage of students who walk will require both educational efforts and changes to the built environment.

Entities:  

Mesh:

Year:  2007        PMID: 17888852     DOI: 10.1016/j.amepre.2007.05.005

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  8 in total

1.  Prevalence and correlates of walking and biking to school among adolescents.

Authors:  Timothy J Bungum; Monica Lounsbery; Sheniz Moonie; Julie Gast
Journal:  J Community Health       Date:  2009-04

Review 2.  GIS measured environmental correlates of active school transport: a systematic review of 14 studies.

Authors:  Bonny Yee-Man Wong; Guy Faulkner; Ron Buliung
Journal:  Int J Behav Nutr Phys Act       Date:  2011-05-06       Impact factor: 6.457

3.  Built environment predictors of active travel to school among rural adolescents.

Authors:  Madeline A Dalton; Meghan R Longacre; Keith M Drake; Lucinda Gibson; Anna M Adachi-Mejia; Karin Swain; Haiyi Xie; Peter M Owens
Journal:  Am J Prev Med       Date:  2011-03       Impact factor: 5.043

Review 4.  Encouraging walking for transport and physical activity in children and adolescents: how important is the built environment?

Authors:  Billie Giles-Corti; Sally F Kelty; Stephen R Zubrick; Karen P Villanueva
Journal:  Sports Med       Date:  2009       Impact factor: 11.136

5.  Breaking Out of Surveillance Silos: Integrative Geospatial Data Collection for Child Injury Risk and Active School Transport.

Authors:  Laura Schuch; Jacqueline W Curtis; Andrew Curtis; Courtney Hudson; Heather Wuensch; Malinda Sampsell; Erika Wiles; Mary Infantino; Andrew J Davis
Journal:  J Urban Health       Date:  2016-02       Impact factor: 3.671

6.  School Factors Associated With the Percentage of Students Who Walk or Bike to School, School Health Policies and Practices Study, 2014.

Authors:  Sherry Everett Jones; Sarah Sliwa
Journal:  Prev Chronic Dis       Date:  2016-05-12       Impact factor: 2.830

7.  Using expert decision-making to establish indicators of urban friendliness for walking environments: a multidisciplinary assessment.

Authors:  Yen-Cheng Chiang; Han-Yu Lei
Journal:  Int J Health Geogr       Date:  2016-11-15       Impact factor: 3.918

8.  Using an agent-based model to simulate children's active travel to school.

Authors:  Yong Yang; Ana V Diez-Roux
Journal:  Int J Behav Nutr Phys Act       Date:  2013-05-26       Impact factor: 6.457

  8 in total

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