Evidence map›Paper›PMID 37586572›Full record

ArticleAmerican journal of preventive medicine2024

Cost Effectiveness of Calorie Labeling at Large Fast-Food Chains Across the U.S.

Roxanne Dupuis, Jason P Block, Jessica L Barrett, Michael W Long, Joshua Petimar, Zachary J Ward, Erica L Kenney, Aviva A Musicus, Carolyn C Cannuscio, David R Williams and 2 more

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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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

12 authors.

Roxanne DupuisDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Electronic address: roxanne.dupuis@nyulangone.org.
Jason P BlockDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia.
Jessica L BarrettDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Michael W LongDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia.
Joshua PetimarDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Zachary J WardCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Erica L KenneyDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Aviva A MusicusDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Carolyn C CannuscioDepartment of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
David R WilliamsDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Sara N BleichDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Steven L GortmakerDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

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
Prevention Research Center on Nutrition and Physical ActivityU48DP006376 · DP · HARVARD SCHOOL OF PUBLIC HEALTH · PI GORTMAKER, STEVEN L · 2018 to 2023
$5.0M
Simulation Modeling and Disparities in Obesity and Chronic DiseaseR01HL146625 · NHLBI · HARVARD SCHOOL OF PUBLIC HEALTH · PI GORTMAKER, STEVEN L · 2019 to 2022
$1.6M
NCCDPHP CDC HHS U48 DP006376NHLBI NIH HHS R01 HL146625NIDDK NIH HHS R01 DK115492
6 · The paper itself

Abstract

introductionCalorie labeling of standard menu items has been implemented at large restaurant chains across the U.S. since 2018. The objective of this study was to evaluate the cost effectiveness of calorie labeling at large U.S. fast-food chains.

methodsThis study evaluated the national implementation of calorie labeling at large fast-food chains from a modified societal perspective and projected its cost effectiveness over a 10-year period (2018-2027) using the Childhood Obesity Intervention Cost-Effectiveness Study microsimulation model. Using evidence from over 67 million fast-food restaurant transactions between 2015 and 2019, the impact of calorie labeling on calorie consumption and obesity incidence was projected. Benefits were estimated across all racial, ethnic, and income groups. Analyses were performed in 2022.

resultsCalorie labeling is estimated to be cost saving; prevent 550,000 cases of obesity in 2027 alone (95% uncertainty interval=518,000; 586,000), including 41,500 (95% uncertainty interval=33,700; 50,800) cases of childhood obesity; and save $22.60 in healthcare costs for every $1 spent by society in implementation costs. Calorie labeling is also projected to prevent cases of obesity across all racial and ethnic groups (range between 126 and 185 cases per 100,000 people) and all income groups (range between 152 and 186 cases per 100,000 people).

conclusionsCalorie labeling at large fast-food chains is estimated to be a cost-saving intervention to improve long-term population health. Calorie labeling is a low-cost intervention that is already implemented across the U.S. in large chain restaurants.

Indexed as

Pediatric ObesityChildCost-Effectiveness AnalysisEnergy IntakeFast FoodsFood LabelingHumansIncomeRestaurants

Identifiers

PMID37586572
PMCPMC10840662

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.