Factors Which Predict the Use of Active Transportation to School Among Children in Clark County, NV

摘要

Introduction: Active transportation to school (ATS) shows promise for increasing activity levels in children, but prevalence and correlates vary widely in cities and regions with different barriers and supports for active travel. Classification of ATS users is a current issue in the field. The purpose of this study was to determine the prevalence of ATS use and develop a predictive model of ATS for the novel population of children enrolled in grades K-8 in Clark County School District, a large metropolitan school district in Southern Nevada. Methods: This study used a secondary data from the National Center for Safe Routes to Schoolu27s Parent Survey collected in 17 school communities by Clark County School District in 2013 (n=2,054). Variables representing demographic characteristics, socio-economic status, distance from school, and barriers to the use of ATS were assessed for correlations and normality. Logistic regression for survey data was used to develop predictive models for two measures of ATS. Results: The returned surveys represent a response rate of 13.5%. ATS use was categorized as some use (use of active methods of transportation for either the morning or afternoon commute or both on most days) and exclusive use (use of ATS for both trips on most days). Logistic regression revealed that some ATS use was predicted by distance from school, parental level of education, childu27s request to use ATS, and the number of barriers reported by the parent. Exclusive ATS use was also predicted by these characteristics, but was also predicted by the number of children in grades K-8 in the family. Both models explained about one third of the variation in ATS use in the sample. Discussion: Results suggest that ATS use among K-8 students in Clark County is predicted by distance and socio-economic status, as with other populations. Requesting permission to use ATS and the number of K-8 students in the family also predicted the use of ATS, but the implications of these findings require further analysis.