Yong Yang1, Stephanie S Ivey2, Marian C Levy3, Marla B Royne4, Lisa M Klesges5. 1. School of Public Health, The University of Memphis, Memphis, TN 38152. yyang15@memphis.edu. 2. Department of Civil Engineering, The University of Memphis, Memphis, TN 38152. ssalyers@memphis.edu. 3. School of Public Health, The University of Memphis, Memphis, TN 38152. mlevy@memphis.edu. 4. Department of Marketing & Supply Chain Management, The University of Memphis, Memphis, TN 38152. mstaffrd@memphis.edu. 5. School of Public Health, The University of Memphis, Memphis, TN 38152. lmklsges@memphis.edu.
Abstract
BACKGROUND: Whereas children's active travel to school (ATS) has confirmed benefits, only a few large national surveys of ATS exist. METHODS: Using data from the Health Behavior in School-aged Children (HBSC) 2009-2010 US survey, we conducted a logistic regression model to estimate the odds ratios of ATS and a linear regression model to estimate the adjusted mean differences of the percentage of ATS within a school. RESULTS: Overall, 21.4% of children engaged in at least one way of active travel to or from school. ATS was less common for trips to school than from school. Greater distance to school was a major barrier preventing children from ATS. Children living in large cities were more likely to engage in ATS, and schools located in a large city had higher proportions of ATS rate. Children having lower family satisfaction, or engaging in a greater number of physically active days during the past week were all more likely to engage in ATS. CONCLUSIONS: Although ATS is low among US children, significant variation exists. HBSC is a promising data source for an ATS study. As the first study to explore the variation of ATS at school level, this research contributes uniquely to current knowledge.
BACKGROUND: Whereas children's active travel to school (ATS) has confirmed benefits, only a few large national surveys of ATS exist. METHODS: Using data from the Health Behavior in School-aged Children (HBSC) 2009-2010 US survey, we conducted a logistic regression model to estimate the odds ratios of ATS and a linear regression model to estimate the adjusted mean differences of the percentage of ATS within a school. RESULTS: Overall, 21.4% of children engaged in at least one way of active travel to or from school. ATS was less common for trips to school than from school. Greater distance to school was a major barrier preventing children from ATS. Children living in large cities were more likely to engage in ATS, and schools located in a large city had higher proportions of ATS rate. Children having lower family satisfaction, or engaging in a greater number of physically active days during the past week were all more likely to engage in ATS. CONCLUSIONS: Although ATS is low among US children, significant variation exists. HBSC is a promising data source for an ATS study. As the first study to explore the variation of ATS at school level, this research contributes uniquely to current knowledge.
Authors: Timothy K Behrens; Randa Osman; Paige Whitney; Dick Carpenter; Elizabeth Tucker; Julaine Field; Cheryl Kelly Journal: J Community Health Date: 2017-02
Authors: Pedro Antonio Sánchez Miguel; David Sánchez Oliva; Mikel Vaquero Solís; J J Pulido; Miguel Angel Tapia Serrano Journal: PeerJ Date: 2020-06-09 Impact factor: 2.984