Evidence map›Paper›PMID 25602868›Full record

Observational studyAmerican journal of public health2015

Changes in awareness and use of calorie information after mandatory menu labeling in restaurants in King County, Washington.

Roxana Chen, Michael Smyser, Nadine Chan, Myduc Ta, Brian E Saelens, James Krieger

Abstract readObservational Study
In one paragraph

Observational study in American journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Evaluation of the impact of calorie labeling on McDonald's restaurant menus: a natural experiment.The international journal of behavioral nutrition and physical activity · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Factors Associated with Self-Reported Menu-Labeling Usage among US Adults.Journal of the Academy of Nutrition and Dietetics · 2016
    Article
  17. Article
  18. 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

6 authors.

Roxana ChenRoxana Chen, Michael Smyser, Nadine Chan, and Myduc Ta are with Public Health-Seattle & King County, Washington. James Krieger is with Action for Healthy Food, Washington. Brian E. Saelens is with Seattle Children's Hospital Research Institute, University of Washington. Roxana Chen, Michael Smyser, Nadine Chan and James Krieger are also with the University of Washington, Seattle.
Michael Smyser
Nadine Chan
Myduc Ta
Brian E Saelens
James Krieger

Funding

COLLABORATIVE CHRONIC DISEASE, HEALTH PROMOTION, AND SURVEILLANCE PROGRAMU58DP001996 · DP · WASHINGTON STATE DEPARTMENT OF HEALTH · PI NANDI, PAJ · 2009 to 2014
$16.8M
Biobehavioral Cancer Prevention and Control Training ProgramR25CA092408 · NCI · UNIVERSITY OF WASHINGTON · PI PATRICK, DONALD LEE · 2001 to 2015
$7.1M
University of Washington Health Services Research Training ProgramT32HS013853 · AHRQ · UNIVERSITY OF WASHINGTON · PI WEINER, BRYAN J., WILLIAMS, EMILY CATERINA · 2003 to 2024
$6.9M
AHRQ HHS T32 HS013853NCCDPHP CDC HHS U58 DP001996NCCDPHP CDC HHS U58-DP001996-1NCCDPHP CDC HHS U58-DP001996-2NCI NIH HHS R25 CA092408NCI NIH HHS R25CA092408PHS HHS U58-CCU022819-5
6 · The paper itself

Abstract

objectivesWe examined population-level impact on customer awareness and use and explored potential disparities in outcomes regarding the King County, Washington, regulation requiring chain restaurants to provide calorie information.

methodsWe analyzed 2008 to 2010 Behavioral Risk Factor Surveillance System data from 3132 English-speaking King County residents aged 18 years and older who reported eating at a regulated chain. We used regression models to assess changes in calorie information awareness and use from prepolicy to postpolicy implementation by customer demographics, health status, and restaurant type.

resultsCalorie information awareness and use increased significantly from 2008 to 2010. Unadjusted analyses indicated that the proportion who saw and used calorie information tripled, from 8.1% to 24.8%. Fully adjusted analyses confirmed significant increases. After policy implementation, White, higher income, and obese respondents had greater odds of seeing calorie information. Women, higher income groups, and those eating at a fast-food versus a sit-down chain restaurant were more likely to use this information.

conclusionsSignificant increases in calorie information awareness and use following regulation support the population-wide value of this policy. However, improvements varied across race, income, and gender.

Indexed as

Energy IntakeFeeding BehaviorHealth Knowledge, Attitudes, PracticeAdolescentAdultBehavioral Risk Factor Surveillance SystemCross-Sectional StudiesDecision MakingFast FoodsFemaleFood LabelingHumansMaleMiddle AgedObesityRegression Analysis

Identifiers

PMID25602868
PMCPMC4330858

What OpenQuestion holds

Textmetadata
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.