Evidence map›Paper›PMID 28249003›Full record

SynthesisPloS one2017

The prospective impact of food pricing on improving dietary consumption: A systematic review and meta-analysis.

Ashkan Afshin, José L Peñalvo, Liana Del Gobbo, Jose Silva, Melody Michaelson, Martin O'Flaherty, Simon Capewell, Donna Spiegelman, Goodarz Danaei, Dariush Mozaffarian

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 19 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

157 citing papers in PubMed, 19 syntheses or guidelines pooled it.

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  17. Impact of sugar-sweetened beverage taxes on purchases and dietary intake: Systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
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97 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ashkan AfshinInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States of America.
José L PeñalvoFriedman School of Nutrition Science & Policy, Tufts University, Boston, MA, United States of America.
Liana Del GobboFriedman School of Nutrition Science & Policy, Tufts University, Boston, MA, United States of America.
Jose SilvaDepartment of Cardiology, Boston Medical Center, Boston, MA, United States of America.
Melody MichaelsonSchool of Medicine, Tufts University, Boston MA, United States of America.
Martin O'FlahertyDepartment of Public Health and Policy, University of Liverpool, Liverpool, United Kingdom.
Simon CapewellDepartment of Public Health and Policy, University of Liverpool, Liverpool, United Kingdom.
Donna SpiegelmanDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
Goodarz DanaeiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
Dariush MozaffarianFriedman School of Nutrition Science & Policy, Tufts University, Boston, MA, United States of America.

Funding

Cost-Effectiveness of Health System and State-Level Strategies to Improve Diet and Reduce Cardiometabolic DiseasesR01HL115189 · NHLBI · TUFTS UNIVERSITY BOSTON · PI DARIUSH MOZAFFARIAN · 2013 to 2026
$8.2M
Medical Research Council G0900847NHLBI NIH HHS R01 HL115189
6 · The paper itself

Abstract

backgroundWhile food pricing is a promising strategy to improve diet, the prospective impact of food pricing on diet has not been systematically quantified.

objectiveTo quantify the prospective effect of changes in food prices on dietary consumption.

designWe systematically searched online databases for interventional or prospective observational studies of price change and diet; we also searched for studies evaluating adiposity as a secondary outcome. Studies were excluded if price data were collected before 1990. Data were extracted independently and in duplicate. Findings were pooled using DerSimonian-Laird's random effects model. Pre-specified sources of heterogeneity were analyzed using meta-regression; and potential for publication bias, by funnel plots, Begg's and Egger's tests.

resultsFrom 3,163 identified abstracts, 23 interventional studies and 7 prospective cohorts with 37 intervention arms met inclusion criteria. In pooled analyses, a 10% decrease in price (i.e., subsidy) increased consumption of healthful foods by 12% (95%CI = 10-15%; N = 22 studies/intervention arms) whereas a 10% increase price (i.e. tax) decreased consumption of unhealthful foods by 6% (95%CI = 4-8%; N = 15). By food group, subsidies increased intake of fruits and vegetables by 14% (95%CI = 11-17%; N = 9); and other healthful foods, by 16% (95%CI = 10-23%; N = 10); without significant effects on more healthful beverages (-3%; 95%CI = -16-11%; N = 3). Each 10% price increase reduced sugar-sweetened beverage intake by 7% (95%CI = 3-10%; N = 5); fast foods, by 3% (95%CI = 1-5%; N = 3); and other unhealthful foods, by 9% (95%CI = 6-12%; N = 3). Changes in price of fruits and vegetables reduced body mass index (-0.04 kg/m2 per 10% price decrease, 95%CI = -0.08-0 kg/m2; N = 4); price changes for sugar-sweetened beverages or fast foods did not significantly alter body mass index, based on 4 studies. Meta-regression identified direction of price change (tax vs. subsidy), number of intervention components, intervention duration, and study quality score as significant sources of heterogeneity (P-heterogeneity<0.05 each). Evidence for publication bias was not observed.

conclusionsThese prospective results, largely from interventional studies, support efficacy of subsidies to increase consumption of healthful foods; and taxation to reduce intake of unhealthful beverages and foods. Use of subsidies and combined multicomponent interventions appear most effective.

Indexed as

AdiposityEatingCosts and Cost AnalysisFood SupplyHumans

Identifiers

PMID28249003
PMCPMC5332034

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.