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Assessment of direct and indirect associations between children active school travel and environmental, household and child factors using structural equation modelling

BACKGROUND: Active school travel (AST) is influenced by multiple factors including built and social environments, households and individual variables. A holistic theory such as Mitra’s Behavioural Model of School Transportation (BMST) is vital to comprehensively understand these complex interrelatio...

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Autores principales: Ikeda, Erika, Hinckson, Erica, Witten, Karen, Smith, Melody
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451289/
https://www.ncbi.nlm.nih.gov/pubmed/30953526
http://dx.doi.org/10.1186/s12966-019-0794-5
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author Ikeda, Erika
Hinckson, Erica
Witten, Karen
Smith, Melody
author_facet Ikeda, Erika
Hinckson, Erica
Witten, Karen
Smith, Melody
author_sort Ikeda, Erika
collection PubMed
description BACKGROUND: Active school travel (AST) is influenced by multiple factors including built and social environments, households and individual variables. A holistic theory such as Mitra’s Behavioural Model of School Transportation (BMST) is vital to comprehensively understand these complex interrelationships. This study aimed to assess direct and indirect associations between children’s AST and environmental, household and child factors based on the BMST using structural equation modelling (SEM). METHODS: Data were drawn from Neighbourhoods for Active Kids (NfAK), a cross-sectional study of 1102 children aged 8–13 years (school years 5–8) and their parents from nine intermediate and 10 primary schools in Auckland, New Zealand between February 2015 and December 2016. Data were collected using an online participatory mapping survey (softGIS) with children, a computer-assisted telephone interviewing survey (CATI) with parents, and ArcGIS for built environment attributes. Based on the BMST a conceptual model of children’s school travel behaviour was specified for SEM analyses (‘hypothesised SEM’), and model modification was made to improve the model (‘modified SEM’). SEM analyses using Mplus were performed to test the hypothesised/modified SEM and to assess direct and indirect relationships among variables. RESULTS: The overall fit of the modified SEM was acceptable (N = 542; Root mean square error of approximation = 0.04, Comparative fit index = 0.94, Tucker-Lewis index = 0.92). AST was positively associated with child independent mobility, child-perceived neighbourhood safety, and parent-perceived importance of social interaction and neighbourhood social environment. Distance to school, and parental perceptions of convenience and concerns about traffic safety were negatively associated with AST. Parental fears of stranger danger were indirectly related to AST through those of traffic safety. Distance to school and child independent mobility mediated relationships between AST and child school year and sex. CONCLUSIONS: Increasing children’s AST requires action on multiple fronts including communities that support independent mobility by providing child friendly social and built environments, safety from traffic, and policies that promote local schools and safe vehicle-free zones around school. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12966-019-0794-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-64512892019-04-17 Assessment of direct and indirect associations between children active school travel and environmental, household and child factors using structural equation modelling Ikeda, Erika Hinckson, Erica Witten, Karen Smith, Melody Int J Behav Nutr Phys Act Research BACKGROUND: Active school travel (AST) is influenced by multiple factors including built and social environments, households and individual variables. A holistic theory such as Mitra’s Behavioural Model of School Transportation (BMST) is vital to comprehensively understand these complex interrelationships. This study aimed to assess direct and indirect associations between children’s AST and environmental, household and child factors based on the BMST using structural equation modelling (SEM). METHODS: Data were drawn from Neighbourhoods for Active Kids (NfAK), a cross-sectional study of 1102 children aged 8–13 years (school years 5–8) and their parents from nine intermediate and 10 primary schools in Auckland, New Zealand between February 2015 and December 2016. Data were collected using an online participatory mapping survey (softGIS) with children, a computer-assisted telephone interviewing survey (CATI) with parents, and ArcGIS for built environment attributes. Based on the BMST a conceptual model of children’s school travel behaviour was specified for SEM analyses (‘hypothesised SEM’), and model modification was made to improve the model (‘modified SEM’). SEM analyses using Mplus were performed to test the hypothesised/modified SEM and to assess direct and indirect relationships among variables. RESULTS: The overall fit of the modified SEM was acceptable (N = 542; Root mean square error of approximation = 0.04, Comparative fit index = 0.94, Tucker-Lewis index = 0.92). AST was positively associated with child independent mobility, child-perceived neighbourhood safety, and parent-perceived importance of social interaction and neighbourhood social environment. Distance to school, and parental perceptions of convenience and concerns about traffic safety were negatively associated with AST. Parental fears of stranger danger were indirectly related to AST through those of traffic safety. Distance to school and child independent mobility mediated relationships between AST and child school year and sex. CONCLUSIONS: Increasing children’s AST requires action on multiple fronts including communities that support independent mobility by providing child friendly social and built environments, safety from traffic, and policies that promote local schools and safe vehicle-free zones around school. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12966-019-0794-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-05 /pmc/articles/PMC6451289/ /pubmed/30953526 http://dx.doi.org/10.1186/s12966-019-0794-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Ikeda, Erika
Hinckson, Erica
Witten, Karen
Smith, Melody
Assessment of direct and indirect associations between children active school travel and environmental, household and child factors using structural equation modelling
title Assessment of direct and indirect associations between children active school travel and environmental, household and child factors using structural equation modelling
title_full Assessment of direct and indirect associations between children active school travel and environmental, household and child factors using structural equation modelling
title_fullStr Assessment of direct and indirect associations between children active school travel and environmental, household and child factors using structural equation modelling
title_full_unstemmed Assessment of direct and indirect associations between children active school travel and environmental, household and child factors using structural equation modelling
title_short Assessment of direct and indirect associations between children active school travel and environmental, household and child factors using structural equation modelling
title_sort assessment of direct and indirect associations between children active school travel and environmental, household and child factors using structural equation modelling
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451289/
https://www.ncbi.nlm.nih.gov/pubmed/30953526
http://dx.doi.org/10.1186/s12966-019-0794-5
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