How does the built environment affect teenagers (aged 13-14) physical activity and fitness? A cross-sectional analysis of the ACTIVE Project

PLoS One. 2020 Aug 19;15(8):e0237784. doi: 10.1371/journal.pone.0237784. eCollection 2020.

Abstract

Built environments have been cited as important facilitators of activity and research using geographic information systems (GIS) has emerged as a novel approach in exploring environmental determinants. The Active Children Through Individual Vouchers Evaluation Project used GIS to conduct a cross-sectional analysis of how teenager's (aged 13-14) environments impacted on their amount of activity and influences fitness. The ACTIVE Project recruited 270 participants aged 13-14 (year 9) from 7 secondary schools in south Wales, UK. Demographic data and objective measures of accelerometery and fitness were collected from each participant between September and December 2016. Objective data was mapped in a GIS alongside datasets relating to activity provision, active travel routes, public transport stops, main roads and natural resources. This study shows that fitness and physical activity are not correlated. Teenagers who had higher levels of activity also had higher levels of sedentary time/inactivity. Teenagers showed higher amounts of moderate-to-vigorous physical activity if their homes were closer to public transport. However, they were also more active if their schools were further away from public transport and natural resources. Teenagers were fitter if schools were closer to natural resources. Sedentary behaviour, fitness and activity do not cluster in the same teenagers. Policymakers/planning committees need to consider this when designing teenage friendly environments. Access to public transport, active travel, green space and activities that teenagers want, and need could make a significant difference to teenage health.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accelerometry / methods
  • Accelerometry / statistics & numerical data
  • Adolescent
  • Adolescent Health / statistics & numerical data*
  • Built Environment*
  • Cross-Sectional Studies
  • Datasets as Topic
  • Exercise / physiology*
  • Female
  • Geographic Information Systems / statistics & numerical data
  • Humans
  • Male
  • Physical Fitness / physiology*
  • Transportation / statistics & numerical data
  • Wales