Social, psychological and behavioural correlates of pedometer step counts in a sample of Australian adolescents

J Sci Med Sport. 2009 Jan;12(1):141-7. doi: 10.1016/j.jsams.2007.06.010. Epub 2007 Sep 19.

Abstract

The purpose of this study was to examine potential correlates of objectively measured physical activity among a sample of Australian adolescents. Participants were 119 14-15 year old students from three secondary schools. Students wore pedometers for 4 consecutive school days and completed questionnaires assessing demographic, social, psychological and behavioural correlates of physical activity. Mean steps/day were 11,865 (+/-3997) for boys (n=47) and 9466 (+/-3195) for girls (n=72). Approximately one-third of boys (32%) and girls (33%) satisfied existing step recommendations (girls 11,000 steps/day and boys 13,000 steps/day). In the first instance, the relationship between factors and physical activity was assessed using bivariate correlation. Enjoyment of physical activity (r=0.37, p<0.05), use of self-management strategies (r=0.33, p<0.05) and perceived barriers (r=-0.39, p<0.05) were significantly related to mean steps/day among boys. Peer support (r=0.26, p<0.05) and the use of self-management strategies (r=0.30, p<0.05) were significantly associated with mean steps/day for girls. Hierarchical regression analysis revealed that gender, peer support, self-management strategies and perceived barriers accounted for 16% of the variance in mean steps/day. This study has identified a number of potentially modifiable correlates of objectively measured physical activity in sample of Australian adolescents.

Publication types

  • Comparative Study

MeSH terms

  • Adolescent
  • Adolescent Behavior / psychology*
  • Exercise / psychology*
  • Female
  • Health Behavior
  • Health Promotion / methods
  • Humans
  • Male
  • Monitoring, Ambulatory / methods*
  • New South Wales
  • Peer Group
  • Regression Analysis
  • Sex Distribution
  • Social Support
  • Surveys and Questionnaires
  • Walking / psychology*
  • Walking / statistics & numerical data*