Evidence map›Paper›PMID 41926348›Full record

ArticlePLoS medicine2026

Impact of sugary drink taxes on beverage calories purchased in a national fast food restaurant chain: A quasi-experimental study.

Pasquale E Rummo, Juan A Echenique, Erilia Wu, Tod Mijanovich, Sunita M Desai, Marie A Bragg, Beth C Weitzman, Brian Elbel

Abstract read
In one paragraph

Article in PLoS medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Pasquale E RummoDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.ORCID https://orcid.org/0000-0002-9285-5430
Juan A EcheniqueDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.ORCID https://orcid.org/0000-0002-9029-8845
Erilia WuDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.
Tod MijanovichSteinhardt School of Culture, Education, and Human Development, New York University, New York, New York, United States of America.ORCID https://orcid.org/0000-0001-8454-3018
Sunita M DesaiDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.
Marie A BraggDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.ORCID https://orcid.org/0000-0002-6858-7173
Beth C WeitzmanSteinhardt School of Culture, Education, and Human Development, New York University, New York, New York, United States of America.ORCID https://orcid.org/0009-0001-0574-9470
Brian ElbelDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America.ORCID https://orcid.org/0000-0003-1615-9430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSugary drink taxes have been implemented in several U.S. jurisdictions, but we know little about the impact of taxes on calories purchased in restaurants. The impact may differ in restaurant (vs. non-restaurant) settings because restaurant consumers may be less likely to travel to other jurisdictions for a single meal, choose no beverage or non-taxed beverages, decrease their beverage size, or order combo meals where the drink is bundled with other items at a single price. METHODS AND

findingsWe used six years of transaction-level sales data (2015-2020) from 7,341 Taco Bell restaurant locations to estimate the association of sugary drink policies with beverage calories purchased in the drive-through setting of fast food restaurants over time. Taco Bell restaurants represents a large sample size of data from several U.S. jurisdictions across a long follow-up period, which is unique in the literature. We defined the treatment group as restaurants in five jurisdictions where taxes were ever implemented (Albany, CA; Cook County, IL; Oakland, CA; Philadelphia, PA; Seattle, WA) (n = 60 restaurants). We identified a group of comparison restaurants where taxes were never implemented using synthetic control methods (n = 60 restaurants). We used a difference-in-differences design with calendar month and restaurant fixed effects to compare changes in outcomes between groups between the baseline (3-14 months prior to tax implementation) and 3- to 24-month follow-up periods, overall and by jurisdiction. Our primary outcome measure was beverage calories per transaction, from individually-purchased beverages and combo meals (separately). In the baseline period, average beverage calories per transaction were 51.1 (SD = 8.6) in the tax group and 42.3 (SD = 7.4) in the comparison group; and 119.5 (SD = 15.3) and 115.0 (SD = 23.0) beverage calories per transaction in combo meals. Overall, we observed no association between taxes and changes in beverage calories per transaction between groups during the follow-up period, including from individual beverage items (difference-in-differences = -0.3 (95% CI [-0.8, 1.2]) and combo meals (difference-in-differences = -4.3 (95% CI [-13.5, 5.0]). We observed similar results by location, except in Oakland, CA, where customers purchased 16.8 (95% CI 19.6, 14.1) fewer beverage calories per transaction from combo meals; the association was null after conditioning on the purchase of a beverage (difference-in-differences = -1.01 [-4.93, 2.92)]). The main limitations of our study methodology include the exclusion of beverage calorie data from in-store transactions and that the majority of the restaurants in our sample were located in Cook County.

conclusionsThough we observed differences in certain jurisdictions, overall our findings suggest that sugary drink taxes may not be effective in reducing beverage calorie consumption in fast food restaurants.

Indexed as

BeveragesConsumer BehaviorEnergy IntakeFast FoodsRestaurantsSugar-Sweetened BeveragesTaxesCommerceHumansUnited States

Identifiers

PMID41926348
PMCPMC13046137

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.