Individual and School-Level Socioeconomic Gradients in Physical Activity in Australian Schoolchildren

J Sch Health. 2016 Feb;86(2):105-12. doi: 10.1111/josh.12357.

Abstract

Background: We attempted to determine whether there was a socioeconomic gradient in 9- to 11-year-old Australian children's moderate-to-vigorous physical activity (MVPA), and whether school facilities or policies supporting physical activity were associated with school-level socioeconomic status (SES) and MVPA.

Methods: Children (N = 528) from 26 randomly selected schools participated in the International Study of Childhood Obesity, Lifestyle and the Environment. School-level SES was determined by the Index of Community Socio-Educational Advantage. MVPA was determined from 7-day, 24-hour accelerometry. School facilities (21 items) were evaluated with an objective school ground audit. School policies related to physical activity were collected (18 items) in a school administrator survey. Relationships among SES, MVPA, school facilities, and policies were examined using bivariate regression, correlation analyses, and analysis of variance.

Results: There was a clear SES gradient in daily and in-school MVPA. School facilities or physical activity policies were not associated with SES or in-school MVPA, with the exception of presence of a sports field which was associated with lower SES schools (p = .02) and lower in-school MVPA (p = .001).

Conclusions: School-built, policy, and resource environments are similar across different SES-level schools. Therefore, some other mechanism must be underlying the SES gradients seen in MVPA participation in Australian children.

Keywords: children; physical activity; school facilities; socioeconomic status; sports.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accelerometry
  • Child
  • Cross-Sectional Studies
  • Exercise*
  • Female
  • Health Policy*
  • Humans
  • Male
  • Motor Activity*
  • Pediatric Obesity / epidemiology
  • Pediatric Obesity / prevention & control
  • Regression Analysis
  • Schools / organization & administration*
  • Social Class*
  • Socioeconomic Factors
  • South Australia / epidemiology
  • Sports / statistics & numerical data
  • Students
  • Surveys and Questionnaires