ArticleThe international journal of behavioral nutrition and physical activity2009
Fast food purchasing and access to fast food restaurants: a multilevel analysis of VicLANES.
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.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Food environments and dietary intakes among adults: does the type of spatial exposure measurement matter? A systematic review.International journal of health geographics · 2018Pooled it
- Quantifying the foodscape: A systematic review and meta-analysis of the validity of commercially available business data.PloS one · 2017Pooled it
- The local food environment and diet: a systematic review.Health & place · 2012Pooled it
- Twenty years of behavioral nutrition- A reflection on the road less travelled.The international journal of behavioral nutrition and physical activity · 2025Article
- Associations of takeaway outlets with takeaway food consumption and adiposity: longitudinal analysis of the Fenland cohort.Obesity (Silver Spring, Md.) · 2024Article
- Factors That Most Influence the Choice for Fast Food in a Sample of Higher Education Students in Portugal.Nutrients · 2024Article
- Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study.International journal of health geographics · 2023Article
- Consumption Frequency and Purchase Locations of Foods Prepared Outside the Home in Australia: 2018 International Food Policy Study.The Journal of nutrition · 2022Article
- Neighbourhood food typologies, fast food outlet visitation and snack food purchasing among adolescents in Melbourne, Australia.Public health nutrition · 2022Article
- Is having a 20-minute neighbourhood associated with eating out behaviours and takeaway home delivery? A cross-sectional analysis of ProjectPLAN.BMC public health · 2022Article
- Are neighbourhood restaurants related to frequency of restaurant meals and dietary quality? Prevalence and changes over time in the Multi-Ethnic Study of Atherosclerosis.Public health nutrition · 2021Article
- The good, the bad, and the environment: developing an area-based measure of access to health-promoting and health-constraining environments in New Zealand.International journal of health geographics · 2021Article
- The use and misuse of ratio and proportion exposure measures in food environment research.The international journal of behavioral nutrition and physical activity · 2020Article
- Do Changes in the Local Food Environment Within New Residential Developments Influence the Diets of Residents? Longitudinal Results from RESIDE.International journal of environmental research and public health · 2020Article
- The influence of the local food environment on diet following residential relocation: longitudinal results from RESIDential Environments (RESIDE).Public health nutrition · 2020Article
- Neighborhood Food Outlet Access and Dietary Intake among Adults with Chronic Kidney Disease: Results from the Chronic Renal Insufficiency Cohort Study.Journal of the Academy of Nutrition and Dietetics · 2020Observational
- Social Support, but Not Perceived Food Environment, Is Associated with Diet Quality in French-Speaking Canadians from the PREDISE Study.Nutrients · 2019Article
- Examination of how food environment and psychological factors interact in their relationship with dietary behaviours: test of a cross-sectional model.The international journal of behavioral nutrition and physical activity · 2019Article
- Relative Density of Away from Home Food Establishments and Food Spend for 24,047 Households in England: A Cross-Sectional Study.International journal of environmental research and public health · 2018Article
- Supermarket access, transport mode and BMI: the potential for urban design and planning policy across socio-economic areas.Public health nutrition · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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
What OpenQuestion holds
Registered trials
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.