4.4 Article Proceedings Paper

Built environment associates of active school travel in New Zealand children and youth: A systematic meta-analysis using individual participant data

期刊

JOURNAL OF TRANSPORT & HEALTH
卷 9, 期 -, 页码 117-131

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jth.2018.04.007

关键词

Active travel to school; Built environment; Geographic information systems; Meta-analysis; Children; Systematic review

资金

  1. New Zealand Ministry of Business, Innovation, and Employment (Healthy Future Mobility Solutions) [43153]
  2. Health Research Council of New Zealand [12/329, 14/565, 10/497, 14/156, 07/356, 17-013]
  3. National Heart Foundation of New Zealand [1602, 1615]
  4. Lottery Health Research Grant [Applic 341129]
  5. University of Otago Research Grant (UORG 2015)
  6. Dunedin City Council
  7. School of Physical Education, Sport and Exercise Sciences, University of Otago

向作者/读者索取更多资源

This systematic review and meta-analysis examined the associations between active travel to school and the neighbourhood built environment in children and youth by systematically identifying and collating data from New Zealand studies. Data from five studies involving 2844 children and youth aged 6-19 years were included in the meta-analysis. Data on participant demographics and school characteristics were obtained from each study, and built environment features within 400m and 1 km buffers around home were calculated in a consistent manner using geographic information systems. A one-step individual participant data meta-analysis was performed in SAS. Using stepwise logistic regression, age, school socioeconomic status, distance to school, dwelling density and intersection density (400m and 1 km buffers) were taken forward from bivariate analyses into a multiple variable model. Active travel to school was positively associated with intersection density (p < 0.001) (1 km buffer) and negatively associated with school socioeconomic status (p = 0.001), dwelling density (p = 0.004) (1 km buffer), and distance to school (p < 0.001), including age, sex, ethnicity and number of siblings as fixed effects in the final model. The findings of this meta-analysis can be used to guide and support the development of policies on school location and catchment, and pedestrian and cycling infrastructure for children and youth to actively and safely travel to school.

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