Evidence map›Paper›PMID 39824223›Full record

ArticleAppetite2025

Estimating the impacts of calorie labels in fast-food settings using a novel comparison: Comparing California drive-through and in-store purchases.

Beth C Weitzman, Lloyd Heng, Tod Mijanovich, Courtney Abrams, Pasquale E Rummo, Marie A Bragg, Erilia Wu, Emil Hafeez, Omni Cassidy, Juan A Echenique and 1 more

Abstract readComparative Study
In one paragraph

Article in Appetite, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Beth C WeitzmanDepartment of Nutrition and Food Studies, NYU Steinhardt, New York University, New York, NY, USA. Electronic address: beth.weitzman@nyu.edu.
Lloyd HengDepartment of Population Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Tod MijanovichDepartment of Applied Statistics, Social Sciences and Humanities, NYU Steinhardt, New York University, New York, NY, USA.
Courtney AbramsDepartment of Population Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Pasquale E RummoDepartment of Population Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Marie A BraggDepartment of Population Health, NYU Grossman School of Medicine, New York University, New York, NY, USA; Marketing Department, NYU Stern School of Business, New York University, New York, NY, USA.
Erilia WuDepartment of Population Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Emil HafeezDepartment of Population Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Omni CassidyDepartment of Population Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Juan A EcheniqueDepartment of Population Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Brian ElbelDepartment of Population Health, NYU Grossman School of Medicine, New York University, New York, NY, USA; Wagner School of Public Service, New York University, New York, NY, USA.

Funding

Using National Sales Data to Understand the Influence of Menu Labeling PolicyR01HL147474 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ELBEL, BRIAN · 2019 to 2022
$3.3M
The effect of virtual reality-based food marketing on biological hunger signals and purchase intention in young adultsK01MD019320 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Omni Cassidy · 2024 to 2026
$407k
NHLBI NIH HHS R01 HL147474NIMHD NIH HHS K01 MD019320
6 · The paper itself

Abstract

Prior studies assessing the impact of calorie labels in fast-food settings have relied on comparisons across local and state jurisdictions with and without labeling mandates; several well-designed studies indicate a small reduction of calories purchased as a result of the labels. This study exploits a staggered roll-out of calorie labels in California to study the same issue using a novel comparison of in-store purchases with calorie information and drive-through purchases without calorie information at the same locations. With this design, consumers in both the treatment and comparison groups have been subject to the same social signals associated with the policy change and may have been exposed to calorie information during prior purchases, narrowing the intervention under study to the impact of posted menu labels at the point of purchase. Transactions (N = 201,418,976) at 424 unique restaurants at a single fast-food chain were included and a difference-in-differences design was used to examine changes one and two years after the implementation of labels at in-store counters compared to baseline. Using this comparison of consumer purchases within the same jurisdictions, we found no meaningful impact of posted calorie labels at the point of purchase, suggesting that such labels did not induce behavioral change. Additional methods to strengthen the impact of labeling policies are worthy of further study.

Indexed as

Consumer BehaviorEnergy IntakeFast FoodsFood LabelingRestaurantsAdultCaliforniaChoice BehaviorCommerceFemaleFood PreferencesHumansMaleFast foodMenu labelingPolicy

Identifiers

PMID39824223
PMCPMC11884985

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.