title: Neighborhood perceptions and active commuting to school among adolescent boys and girls.
abstract: BACKGROUND
  Active commuting (AC) to school can increase daily minutes of physical activity yet research is lacking on its determinants. This study examined perceptions of the physical environment as a correlate of AC among adolescents.
  
  
  METHODS
  Cross-sectional data were collected from 1143 males and 1016 females (mean age 16.04 +/- 0.66) who lived within 2.5 miles of their school. Participants' self-reported active (walk or cycle) or inactive (car, bus, or train) mode of travel to school and perceptions of their neighborhood environment. Bivariate logistic regression examined perceived environmental features associated with active versus inactive modes, adjusted for sociodemographic factors. Significant variables were examined in multivariate models, adjusted for population density and distance.
  
  
  RESULTS
  Positive correlates of AC included well-lit streets, land-use-mix diversity, access to shops/public transport, the presence of public parks/bike lanes, and accessible well-maintained paths. Connectivity was unrelated to mode choice. In multivariate analyses, land-use-mix diversity, and the perceived presence of public parks remained significant among males, whereas excess traffic speed, shops within walking distance, and paths separate from the road remained significant among females.
  
  
  CONCLUSIONS
  Environmental characteristics were associated with active commuting to school, however research must address methodological issues before making recommendations for intervention.
authors.affiliation: Dept of Sport, Culture, and the Arts, University of Strathclyde, Glasgow, Scotland, United Kingdom.
authors.forename: Norah M
authors.initials: NM
authors.lastname: Nelson
authors.forename: Catherine B
authors.initials: CB
authors.lastname: Woods
mesh_terms: D000293:Adolescent; D000294:Adolescent Behavior; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D015994:Incidence; D016015:Logistic Models; D008297:Male; D015233:Models, Statistical; D009043:Motor Activity; D015999:Multivariate Analysis; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012574:Schools; D012938:Social Perception; D013334:Students