Evidence map›Paper›PMID 29045080›Full record

SynthesisObesity (Silver Spring, Md.)2017

A Systematic Review of Calorie Labeling and Modified Calorie Labeling Interventions: Impact on Consumer and Restaurant Behavior.

Sara N Bleich, Christina D Economos, Marie L Spiker, Kelsey A Vercammen, Eric M VanEpps, Jason P Block, Brian Elbel, Mary Story, Christina A Roberto

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Obesity (Silver Spring, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 5 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

80 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
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  6. Trial
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  9. Online RCT of Icon Added-Sugar Warning Labels for Restaurant Menus.American journal of preventive medicine · 2023
    Trial
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  12. Cafeteria Online: Nudges for Healthier Food Choices in a University Cafeteria-A Randomized Online Experiment.International journal of environmental research and public health · 2021
    Trial
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  14. Messages Promoting Healthy Kids' Meals: An Online RCT.American journal of preventive medicine · 2021
    Trial
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  17. Trial
  18. Article
  19. Article
  20. Article

20 more citing papers are in PubMed but not listed here.

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

9 authors.

Sara N BleichDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0003-3098-3119
Christina D EconomosChildObesity180, Friedman School of Nutrition Science and Policy, Tufts University, Medford, Massachusetts, USA.
Marie L SpikerDepartment of International Health, John Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Kelsey A VercammenDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Eric M VanEppsVA Center for Health Equity Research and Promotion, Philadelphia, Pennsylvania, USA.
Jason P BlockDepartment of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Brian ElbelDepartment of Population Health, New York University School of Medicine and Wagner School of Public Service, New York, New York, USA.
Mary StoryDuke Global Health Institute, Duke University, Durham, North Carolina, USA.
Christina A RobertoDepartment of Medical Ethics & Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

The Penn Roybal Center on Behavioral Economics and Health: Solving for Scale and Impact with Design Thinking, Digital Platforms, and Dynamic AdaptationP30AG034546 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Alison Meredith Buttenheim · 2009 to 2026
$10.6M
NIA NIH HHS P30 AG034546
6 · The paper itself

Abstract

objectiveEvidence on the effects of restaurant calorie labeling on consumer and restaurant behavior is mixed. This paper examined: (1) consumer responses to calorie information alone or compared to modified calorie information and (2) changes in restaurant offerings following or in advance of menu labeling implementation.

methodsSearches were conducted in PubMed, Web of Science, Policy File, and PAIS International to identify restaurant calorie labeling studies through October 1, 2016, that measured calories ordered, consumed, or available for purchase on restaurant menus. The reference lists of calorie labeling articles were also searched.

resultsFifty-three studies were included: 18 in real-world restaurants, 9 in cafeterias, and 21 in laboratory or simulation settings. Five examined restaurant offerings.

conclusionsBecause of a lack of well-powered studies with strong designs, the degree to which menu labeling encourages lower-calorie purchases and whether that translates to a healthier population are unclear. Although there is limited evidence that menu labeling affects calories purchased at fast-food restaurants, some evidence demonstrates that it lowers calories purchased at certain types of restaurants and in cafeteria settings. The limited data on modified calorie labels find that such labels can encourage lower-calorie purchases but may not differ in effects relative to calorie labels alone.

Indexed as

AdultConsumer BehaviorEnergy IntakeFemaleFood LabelingHumansMaleRestaurants

Identifiers

PMID29045080
PMCPMC5752125

What OpenQuestion holds

Textmetadata
LicenceTDM
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.