Evidence map›Paper›PMID 24623903›Full record

ArticleBulletin of the World Health Organization2014

The influence of market deregulation on fast food consumption and body mass index: a cross-national time series analysis.

Roberto De Vogli, Anne Kouvonen, David Gimeno

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Ultra-Processed Food Availability and Noncommunicable Diseases: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. The battle over "food addiction".Frontiers in psychiatry · 2025
    Review
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  8. Article
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  14. Elements behind sedentary lifestyles and unhealthy eating habits in individuals with severe obesity.International journal of qualitative studies on health and well-being · 2022
    Article
  15. Review
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  19. Blackcurrant (Foods (Basel, Switzerland) · 2021
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Roberto De VogliDepartment of Public Health Sciences, School of Medicine, University of California Davis, One Shields Avenue, Med Sci 1-C, Davis, CA 95616, United States of America (USA).
Anne KouvonenSchool of Sociology, Social Policy and Social Work, Queen's University Belfast, Belfast, Northern Ireland .
David GimenoDivision of Epidemiology, Human Genetics and Environmental Health Sciences, The University of Texas Health Science Center at Houston, Houston, USA .

Funding

Medical Research Council MR/K023241/1
6 · The paper itself

Abstract

objectiveTo investigate the effect of fast food consumption on mean population body mass index (BMI) and explore the possible influence of market deregulation on fast food consumption and BMI.

methodsThe within-country association between fast food consumption and BMI in 25 high-income member countries of the Organisation for Economic Co-operation and Development between 1999 and 2008 was explored through multivariate panel regression models, after adjustment for per capita gross domestic product, urbanization, trade openness, lifestyle indicators and other covariates. The possible mediating effect of annual per capita intake of soft drinks, animal fats and total calories on the association between fast food consumption and BMI was also analysed. Two-stage least squares regression models were conducted, using economic freedom as an instrumental variable, to study the causal effect of fast food consumption on BMI.

findingsAfter adjustment for covariates, each 1-unit increase in annual fast food transactions per capita was associated with an increase of 0.033 kg/m2 in age-standardized BMI (95% confidence interval, CI: 0.013-0.052). Only the intake of soft drinks--not animal fat or total calories--mediated the observed association (β: 0.030; 95% CI: 0.010-0.050). Economic freedom was an independent predictor of fast food consumption (β: 0.27; 95% CI: 0.16-0.37). When economic freedom was used as an instrumental variable, the association between fast food and BMI weakened but remained significant (β: 0.023; 95% CI: 0.001-0.045).

conclusionFast food consumption is an independent predictor of mean BMI in high-income countries. Market deregulation policies may contribute to the obesity epidemic by facilitating the spread of fast food.

Indexed as

Body Mass IndexFast FoodsFeeding BehaviorDeveloped CountriesEnergy IntakeFemaleGross Domestic ProductHumansIncomeMaleObesityTime and Motion Studies

Identifiers

PMID24623903
PMCPMC3949530

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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.