Evidence map›Paper›PMID 34967879›Full record

ArticleJAMA network open2021

Changes in Calorie Content of Menu Items at Large Chain Restaurants After Implementation of Calorie Labels.

Anna H Grummon, Joshua Petimar, Mark J Soto, Sara N Bleich, Denise Simon, Lauren P Cleveland, Anjali Rao, Jason P Block

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Menu Calorie Label Use and Diet Quality: a Cross-Sectional Study.American journal of preventive medicine · 2023
    Article
  18. Article
  19. Article
  20. 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

8 authors.

Anna H GrummonDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Joshua PetimarDepartment of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Mark J SotoDepartment of Health Policy and Management, 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.
Denise SimonDepartment of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Lauren P ClevelandDepartment of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Anjali RaoDepartment of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Jason P BlockDepartment of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.

Funding

New Insights into the Federal Calorie Labeling LawR01DK115492 · NIDDK · HARVARD PILGRIM HEALTH CARE, INC. · PI Jason Perry Block · 2018 to 2026
$6.0M
NIDDK NIH HHS R01 DK115492
6 · The paper itself

Abstract

Importance: Calorie labeling on menus is required in US chain food establishments with 20 or more locations. This policy may encourage retailers to offer lower-calorie items, which could lead to a public health benefit by reducing customers' calorie intake from prepared foods. However, potential reformulation of restaurant menu items has not been examined since nationwide enforcement of this policy in 2018. Objective: To examine the calorie content of menu items at large chain restaurants before and after implementation of federally mandated menu calorie labels. Design, Setting, and Participants: This pre-post cohort study used restaurant menu data from MenuStat, a database of nutrition information for menu items offered in the largest chain restaurants in the US, collected annually from 2012 to 2019. The study comprised 35 354 menu items sold at 59 large chain restaurants in the US. Statistical analysis was conducted from February 4 to October 8, 2021. Intervention: Nationwide implementation of menu calorie labeling. Main Outcomes and Measures: Changes in menu items' calorie content after restaurant chains implemented calorie labels were estimated, adjusting for prelabeling trends. All menu items, continuously available items, items newly introduced to menus, and items removed from menus were examined separately. Results: Among the 59 restaurant chains included in the study, after labeling, there were no changes in mean calorie content for all menu items (change = -2.0 calories; 95% CI, -8.5 to 4.4 calories) or continuously available items (change = -2.3 calories; 95% CI, -11.5 to 6.3 calories). Items that were newly introduced after labeling, however, had a lower mean calorie content than items introduced before labeling (change = -112.9 calories; 95% CI, -208.6 to -25.2 calories), although there was heterogeneity by restaurant type. Items removed from menus after labeling had similar calorie content as items removed before labeling (change = 0.5 calories; 95% CI, -79.4 to 84.0 calories). Conclusions and Relevance: In this cohort study of large chain restaurants, implementing calorie labels on menus was associated with the introduction of lower-calorie items but no changes in continuously available or removed items.

Indexed as

Energy IntakeMenu PlanningCohort StudiesHumansNutritive ValueObesityRestaurantsUnited States

Identifiers

PMID34967879
PMCPMC8719240

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.