Evidence map›Paper›PMID 19473503›Full record

ArticleThe international journal of behavioral nutrition and physical activity2009

Fast food purchasing and access to fast food restaurants: a multilevel analysis of VicLANES.

Lukar E Thornton, Rebecca J Bentley, Anne M Kavanagh

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Article in The international journal of behavioral nutrition and physical activity, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

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43citing papers in PubMed, 3 pooled it
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  4. Twenty years of behavioral nutrition- A reflection on the road less travelled.The international journal of behavioral nutrition and physical activity · 2025
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  13. The use and misuse of ratio and proportion exposure measures in food environment research.The international journal of behavioral nutrition and physical activity · 2020
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Lukar E ThorntonKey Centre for Women's Health in Society, Melbourne School of Population Health, The University of Melbourne, Victoria, 3010, Australia. lukar@unimelb.edu.au.
Rebecca J Bentley
Anne M Kavanagh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile 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.

methodsThe 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.

resultsPurchasing 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.

conclusionAlthough 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.

Identifiers

PMID19473503
PMCPMC2697133

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.