Evidence map›Paper›PMID 30573335›Full record

SynthesisAmerican journal of preventive medicine2019

A Meta-Analysis of Food Labeling Effects on Consumer Diet Behaviors and Industry Practices.

Siyi Shangguan, Ashkan Afshin, Masha Shulkin, Wenjie Ma, Daniel Marsden, Jessica Smith, Michael Saheb-Kashaf, Peilin Shi, Renata Micha, Fumiaki Imamura and 2 more

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in American journal of preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 14 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

165 citing papers in PubMed, 14 syntheses or guidelines pooled it.

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105 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

12 authors.

Siyi ShangguanFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts; Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Ashkan AfshinFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington.
Masha ShulkinFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts; University of Michigan Medical School, Ann Arbor, Michigan.
Wenjie MaClinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Daniel MarsdenFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts; School of Medicine and Health Sciences, George Washington University, Washington, District of Columbia.
Jessica SmithFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts; Bell Institute of Health and Nutrition, General Mills Inc., Minneapolis, Minnesota.
Michael Saheb-KashafFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts; School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Peilin ShiFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Renata MichaFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Fumiaki ImamuraMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts. Electronic address: dariush.mozaffarian@tufts.edu.
Food PRICE (Policy Review and Intervention Cost-Effectiveness) Project

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
Economic Analyses of Policy Strategies to Improve Diet and Reduce CVDR01HL130735 · NHLBI · TUFTS UNIVERSITY BOSTON · PI MICHA, EIRINI (RENATA) · 2016 to 2019
$3.1M
Medical Research Council MC_UU_12015/5NHLBI NIH HHS R01 HL115189NHLBI NIH HHS R01 HL130735
6 · The paper itself

Abstract

contextThe influence of food and beverage labeling (food labeling) on consumer behaviors, industry responses, and health outcomes is not well established. EVIDENCE ACQUISITION: PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. Ten databases were searched in 2014 for studies published after 1990 evaluating food labeling and consumer purchases/orders, intakes, metabolic risk factors, and industry responses. Data extractions were performed independently and in duplicate. Studies were pooled using inverse-variance random effects meta-analysis. Heterogeneity was explored with I EVIDENCE SYNTHESIS: From 6,232 articles, a total of 60 studies were identified, including 2 million observations across 111 intervention arms in 11 countries. Food labeling decreased consumer intakes of energy by 6.6% (95% CI= -8.8%, -4.4%, n=31), total fat by 10.6% (95% CI= -17.7%, -3.5%, n=13), and other unhealthy dietary options by 13.0% (95% CI= -25.7%, -0.2%, n=16), while increasing vegetable consumption by 13.5% (95% CI=2.4%, 24.6%, n=5). Evaluating industry responses, labeling decreased product contents of sodium by 8.9% (95% CI= -17.3%, -0.6%, n=4) and artificial trans fat by 64.3% (95% CI= -91.1%, -37.5%, n=3). No significant heterogeneity was identified by label placement or type, duration, labeled product, region, population, voluntary or legislative approaches, combined intervention components, study design, or quality. Evidence for publication bias was not identified.

conclusionsFrom reviewing 60 intervention studies, food labeling reduces consumer dietary intake of selected nutrients and influences industry practices to reduce product contents of sodium and artificial trans fat.

Indexed as

Consumer BehaviorDietary Fats, UnsaturatedFat SubstitutesFeeding BehaviorFood LabelingHealth PromotionHumansObesitySodium, DietaryTrans Fatty AcidsDietary Fats, UnsaturatedFat SubstitutesSodium, DietaryTrans Fatty Acids

Identifiers

PMID30573335
PMCPMC6340779

What OpenQuestion holds

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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.