Physical activity in England: who is meeting the recommended level of participation through sports and exercise?

Eur J Public Health. 2013 Jun;23(3):458-64. doi: 10.1093/eurpub/cks127. Epub 2012 Oct 4.

Abstract

Background: Little is known about the correlates of meeting recommended levels of participation in physical activity (PA) and how this understanding informs public health policies on behaviour change.

Objective: To analyse who meets the recommended level of participation in PA in males and females separately by applying 'process' modelling frameworks (single vs. sequential 2-step process).

Methods: Using the Health Survey for England 2006, (n = 14 142; ≥ 16 years), gender-specific regression models were estimated using bivariate probit with selectivity correction and single probit models. A 'sequential, 2-step process' modelled participation and meeting the recommended level separately, whereas the 'single process' considered both participation and level together.

Results: In females, meeting the recommended level was associated with degree holders [Marginal effect (ME) = 0.013] and age (ME = -0.001), whereas in males, age was a significant correlate (ME = -0.003 to -0.004). The order of importance of correlates was similar across genders, with ethnicity being the most important correlate in both males (ME = -0.060) and females (ME = -0.133). In females, the 'sequential, 2-step process' performed better (ρ = -0.364, P < 0.001) than that in males (ρ = 0.154).

Conclusion: The degree to which people undertake the recommended level of PA through vigorous activity varies between males and females, and the process that best predicts such decisions, i.e. whether it is a sequential, 2-step process or a single-step choice, is also different for males and females. Understanding this should help to identify subgroups that are less likely to meet the recommended level of PA (and hence more likely to benefit from any PA promotion intervention).

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Mass Index
  • Community Participation / statistics & numerical data*
  • Cross-Sectional Studies
  • Energy Metabolism
  • England
  • Exercise / physiology*
  • Female
  • Health Knowledge, Attitudes, Practice*
  • Health Surveys
  • Humans
  • Male
  • Middle Aged
  • Models, Econometric
  • Qualitative Research
  • Regression Analysis
  • Residence Characteristics
  • Socioeconomic Factors
  • Sports / statistics & numerical data*
  • Time Factors