title: Does social inequality matter? Changing ethnic socio-economic disparities and Maori smoking in New Zealand, 1981-1996.
abstract: This paper builds on an earlier study of the effects of inequality on smoking by explicitly incorporating a temporal dimension. We examine the effects of changing levels of inequality upon ethnic variations in smoking rates in New Zealand for the period 1981 to 1996. This was a period of rapid structural change in New Zealand's economy and welfare state, changes which had a disproportionate effect on Maori. While Maori smoking rates declined during this period, the gap in smoking levels between Maori and Pakeha (persons of European descent) increased. The results suggest that levels of social inequality between Maori and Pakeha have an independent effect on Maori smoking rates and that communities which experienced increased social inequality during both the 1980s and 1990s were more likely to have higher Maori smoking rates. Controlling for confounders, the effect of increased ethnic inequality on smoking was particularly evident for Maori women (net R(2) = 0.150) compared to Maori men (net R(2) = 0.079). Nevertheless, absolute rather than relative socio-economic deprivation remains the most important predictor of smoking.
authors.affiliation: Department of Geography, University of Canterbury, Private Bag 4800, Christchurch, New Zealand. ross.barnett@canterbury.ac.nz
authors.forename: Ross
authors.initials: R
authors.lastname: Barnett
authors.forename: Jamie
authors.initials: J
authors.lastname: Pearce
authors.forename: Graham
authors.initials: G
authors.lastname: Moon
mesh_terms: D019352:Censuses; D005260:Female; D006801:Humans; D008297:Male; D009520:New Zealand / Q000453:epidemiology; D011203:Poverty / Q000208:ethnology*; D012044:Regression Analysis; D012111:Residence Characteristics / Q000706:statistics & numerical data; D012424:Rural Population / Q000706:statistics & numerical data; D017678:Sex Distribution; D012907:Smoking / Q000208:ethnology*; D012959:Socioeconomic Factors; D012962:Sociology, Medical; D014505:Urban Population / Q000706:statistics & numerical data; D035862:Vulnerable Populations / Q000208:ethnology*; D044465:White People / Q000706:statistics & numerical data