The Association Between the Density of Retail Tobacco Outlets, Individual Smoking Status, Neighbourhood Socioeconomic Status and School Locations in New South Wales, Australia

Spat Spatiotemporal Epidemiol. 2015 Jan;12:1-7. doi: 10.1016/j.sste.2014.09.001. Epub 2014 Oct 5.

Abstract

Aim: We explored the association between the density of tobacco outlets and neighbourhood socioeconomic status, and between neighbourhood tobacco outlet density and individual smoking status. We also investigated the density of tobacco outlets around primary and secondary schools in New South Wales (NSW).

Methods: We calculated the mean density of retail tobacco outlets registered in NSW between 2009 and 2011, using kernel density estimation with an adaptive bandwidth. We used generalised ordered logistic regression model to explore the association between socioeconomic status and density of tobacco outlets. The association between neighbourhood tobacco outlet density and individuals' current smoking status was investigated using random-intercept generalised linear mixed models. We also calculated the median tobacco outlet density around NSW schools.

Results: More disadvantaged Census Collection Districts (CDs) were significantly more likely to have higher tobacco outlet densities. After adjusting for neighbourhood socioeconomic status and participants' age, sex, country of birth and Aboriginal status, neighbourhood mean tobacco outlet density was significantly and positively associated with individuals' smoking status. The median of tobacco outlet density around schools was significantly higher than the state median.

Conclusion: Policymakers could consider exploring a range of strategies that target tobacco outlets in proximity to schools, in more disadvantaged neighbourhoods and in areas of existing high tobacco outlet density.

Keywords: Generalised ordered logistic regression; Kernel density; Smoking; Socio-economic status; Tobacco outlet density.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Commerce / statistics & numerical data*
  • Female
  • Humans
  • Linear Models
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • New South Wales / epidemiology
  • Residence Characteristics / statistics & numerical data*
  • Schools / statistics & numerical data*
  • Smoking / epidemiology*
  • Smoking / psychology
  • Socioeconomic Factors
  • Tobacco Industry
  • Tobacco Products / statistics & numerical data
  • Tobacco Products / supply & distribution*