Evidence map›Paper›PMID 34252088›Full record

ArticlePLoS medicine2021

Changes in the calorie and nutrient content of purchased fast food meals after calorie menu labeling: A natural experiment.

Joshua Petimar, Fang Zhang, Eric B Rimm, Denise Simon, Lauren P Cleveland, Steven L Gortmaker, Sara N Bleich, Michele Polacsek, Christina A Roberto, Jason P Block

Abstract read
In one paragraph

Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

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  18. Menu Calorie Label Use and Diet Quality: a Cross-Sectional Study.American journal of preventive medicine · 2023
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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.

Joshua PetimarDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-3025-5931
Fang ZhangDivision of Health Policy and Insurance Research, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, Massachusetts, United States of America.
Eric B RimmDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Denise SimonDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-4248-1952
Lauren P ClevelandDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, Massachusetts, United States of America.
Steven L GortmakerDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Sara N BleichDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0003-3098-3119
Michele PolacsekWestbrook College of Health Professions, University of New England, Portland, Maine, United States of America.ORCID 0000-0002-9646-7435
Christina A RobertoDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Jason P BlockDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0001-7660-9064

Funding

CVD Epidemiology Training Program in Behavior, the Environment and Global HealthT32HL098048 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Goodarz Danaei, ERIC B RIMM · 2009 to 2026
$6.9M
New Insights into the Federal Calorie Labeling LawR01DK115492 · NIDDK · HARVARD PILGRIM HEALTH CARE, INC. · PI Jason Perry Block · 2018 to 2026
$6.0M
NHLBI NIH HHS T32 HL098048NIDDK NIH HHS R01 DK115492
6 · The paper itself

Abstract

backgroundCalorie menu labeling is a policy that requires food establishments to post the calories on menu offerings to encourage healthy food choice. Calorie labeling has been implemented in the United States since May 2018 per the Affordable Care Act, but to the best of our knowledge, no studies have evaluated the relationship between calorie labeling and meal purchases since nationwide implementation of this policy. Our objective was to investigate the relationship between calorie labeling and the calorie and nutrient content of purchased meals after a fast food franchise began labeling in April 2017, prior to the required nationwide implementation, and after nationwide implementation of labeling in May 2018, when all large US chain restaurants were required to label their menus. METHODS AND

findingsWe obtained weekly aggregated sales data from 104 restaurants that are part of a fast food franchise for 3 national chains in 3 US states: Louisiana, Mississippi, and Texas. The franchise provided all sales data from April 2015 until April 2019. The franchise labeled menus in April 2017, 1 year prior to the required nationwide implementation date of May 2018 set by the US Food and Drug Administration. We obtained nutrition information for items sold (calories, fat, carbohydrates, protein, saturated fat, sugar, dietary fiber, and sodium) from Menustat, a publicly available database with nutrition information for items offered at the top revenue-generating US restaurant chains. We used an interrupted time series to find level and trend changes in mean weekly calorie and nutrient content per transaction after franchise and nationwide labeling. The analytic sample represented 331,776,445 items purchased across 67,112,342 transactions. Franchise labeling was associated with a level change of -54 calories/transaction (95% confidence interval [CI]: -67, -42, p < 0.0001) and a subsequent 3.3 calories/transaction increase per 4-week period (95% CI: 2.5, 4.1, p < 0.0001). Nationwide implementation was associated with a level decrease of -82 calories/transaction (95% CI: -88, -76, p < 0.0001) and a subsequent -2.1 calories/transaction decrease per 4-week period (95% CI: -2.9, -1.3, p < 0.0001). At the end of the study, the model-based predicted mean calories/transaction was 4.7% lower (change = -73 calories/transaction, 95% CI: -81, -65), and nutrients/transaction ranged from 1.8% lower (saturated fat) to 7.0% lower (sugar) than what we would expect had labeling not been implemented. The main limitations were potential residual time-varying confounding and lack of individual-level transaction data.

conclusionsIn this study, we observed that calorie labeling was associated with small decreases in mean calorie and nutrient content of fast food meals 2 years after franchise labeling and nearly 1 year after implementation of labeling nationwide. These changes imply that calorie labeling was associated with small improvements in purchased meal quality in US chain restaurants.

Indexed as

Fast FoodsFood LabelingMenu PlanningNutrientsEatingHumansRestaurantsNutrients

Identifiers

PMID34252088
PMCPMC8312920

What OpenQuestion holds

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Registered trials

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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.