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Background: While previous research on fast food access and purchasing has not found evidence of an association, these studies have had methodological problems including aggregation error, lack of specificity between the exposures and outcomes, and lack of adjustment for potential confounding. In this paper we attempt to address these methodological problems using data from the Victorian Lifestyle and Neighbourhood Environments Study (VicLANES) - a cross-sectional multilevel study conducted within metropolitan Melbourne, Australia in 2003. Methods: The VicLANES data used in this analysis included 2547 participants from 49 census collector districts in metropolitan Melbourne, Australia. The outcome of interest was the total frequency of fast food purchased for consumption at home within the previous month (never, monthly and weekly) from five major fast food chains (Red Rooster, McDonalds, Kentucky Fried Chicken, Hungry Jacks and Pizza Hut). Three measures of fast food access were created: density and variety, defined as the number of fast food restaurants and the number of different fast food chains within 3 kilometres of road network distance respectively, and proximity defined as the road network distance to the closest fast food restaurant. Multilevel multinomial models were used to estimate the associations between fast food restaurant access and purchasing with never purchased as the reference category. Models were adjusted for confounders including determinants of demand (attitudes and tastes that influence food purchasing decisions) as well as individual and area socio-economic characteristics. Results: Purchasing fast food on a monthly basis was related to the variety of fast food restaurants (odds ratio 1.13; 95% confidence interval 1.02 - 1.25) after adjusting for individual and area characteristics. Density and proximity were not found to be significant predictors of fast food purchasing after adjustment for individual socio-economic predictors. Conclusion: Although we found an independent association between fast food purchasing and access to a wider variety of fast food restaurant, density and proximity were not significant predictors. The methods used in our study are an advance on previous analyses. [ABSTRACT FROM AUTHOR]

This article is a part of a larger project on the prevalence of intermarriage in Australia based on an analysis of census data. The primary aim of the article is to identify the extent of intermarriage between Italian-born migrants, people born in Australia and other birthplace groupings. The analysis focuses on the pattern of Italian intermarriage in Gippsland in order to demonstrate that the incidence differs from that in urban areas of Australia. Gippsland is a rural region in south-eastern Australia where the economy is based on brown coal power generation, a paper mill, timber extraction and dairying. Intermarriage in Gippsland will be compared with another rural area within the same state of Victoria and with the urban area of Melbourne. The rural area chosen for comparison with Gippsland was the statistical division of North East region in the state of Victoria. This area was selected because it contained a significant number of Italian immigrants who have been settled for a long period, primarily in the tobacco industry. In addition the state of Queensland, which has a high percentage of Italian immigrants, also in tobacco and sugar growing regions, was identified separately in the analyses. Cost considerations precluded the division of Queensland into rural and urban regions. Comparisons will also be made with intermarriage patterns among Italians in Melbourne, which has a long history of Italian settlement, and is the Australian city with the highest proportion of Italian immigrants.