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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

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          Abstract

          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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          Most cited references13

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          GIS or GPS? A comparison of two methods for assessing route taken during active transport.

          Current methods of assessing routes taken during active transport rely on subjective recall of trip length and barriers encountered enroute or the utilization of objective measures (Geographic Information Systems -[GIS]) that may not represent actual travel patterns. This study examined the utility of Global Positioning Systems (GPS) to measure actual routes taken compared with GIS-estimated travel distance and barriers encountered. Comparisons between GPS and GIS routes were performed for 59 of 75 children who wore a GPS during the journey to school on a single occasion. Home and school addresses were reported by parents and geocoded in GIS. Children were provided with a GPS and were instructed to travel their normal route to and from school. Data were collected between March and November 2005 and exported to the GIS to determine travel distance, number of busy streets crossed, and the ratio of busy streets to the total streets traveled on. Data analysis was performed in August 2006. No differences were observed between GPS-measured journeys to and from school on any of the examined variables. No differences were observed between GIS and GPS measures of travel distance (p>0.05). GIS-estimated travel routes crossed a significantly (p<0.05) higher number of busy streets (GIS: 1.68+/-0.12 vs GPS: 1.19+/-0.11) and traveled on a higher ratio of busy streets to total streets traveled on (GIS: 0.46+/-0.03 vs GPS: 0.35+/-0.04) (p<0.05) compared with GPS-measured actual travel routes. Geographic Information Systems provides estimates of travel distance similar to GPS-measured actual travel distances. Travel routes estimated by GIS are not representative of actual routes measured by GPS, which indicates that GIS may not provide an accurate estimate of barriers encountered. The continued use of GPS in active transport research in encouraged.
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            Children’s independent mobility: an international comparison and recommendation for action

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              Confirmatory Factor Analysis for Applied Research.

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                Author and article information

                Contributors
                +64 9 921 9999 , erika.ikeda@aut.ac.nz
                erica.hinckson@aut.ac.nz
                K.Witten@massey.ac.nz
                melody.smith@auckland.ac.nz
                Journal
                Int J Behav Nutr Phys Act
                Int J Behav Nutr Phys Act
                The International Journal of Behavioral Nutrition and Physical Activity
                BioMed Central (London )
                1479-5868
                5 April 2019
                5 April 2019
                2019
                : 16
                : 32
                Affiliations
                [1 ]ISNI 0000 0001 0705 7067, GRID grid.252547.3, School of Sport and Recreation, , Auckland University of Technology, ; Auckland, 1647 New Zealand
                [2 ]ISNI 0000 0001 0696 9806, GRID grid.148374.d, SHORE and Whariki Research Centre, , Massey University, ; Auckland, 1010 New Zealand
                [3 ]ISNI 0000 0004 0372 3343, GRID grid.9654.e, School of Nursing, , The University of Auckland, ; Auckland, 1023 New Zealand
                Author information
                http://orcid.org/0000-0001-6999-3918
                Article
                794
                10.1186/s12966-019-0794-5
                6451289
                30953526
                153547dd-19d8-4fc2-907a-309422d83c3b
                © 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.

                History
                : 3 September 2018
                : 21 March 2019
                Funding
                Funded by: Health Research Council of New Zealand Sir Charles Hercus Research Fellowship
                Award ID: 17/013
                Award Recipient :
                Funded by: Health Research Council of New Zealand
                Award ID: 14/436
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Nutrition & Dietetics
                active travel,independent mobility,safety,social environment,built environment,socio-ecological model

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