Evidence map›Paper›PMID 25006823›Full record

ArticleMMWR. Morbidity and mortality weekly report2014

Restaurant menu labeling use among adults--17 states, 2012.

Seung Hee Lee-Kwan, Liping Pan, Leah Maynard, Gayathri Kumar, Sohyun Park, Centers for Disease Control and Prevention

Abstract read
In one paragraph

Article in MMWR. Morbidity and mortality weekly report, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. 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
  3. Article
  4. Article
  5. Article
  6. Factors Associated with Self-Reported Menu-Labeling Usage among US Adults.Journal of the Academy of Nutrition and Dietetics · 2016
    Article
  7. Observational
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.

Seung Hee Lee-Kwan
Liping Pan
Leah Maynard
Gayathri Kumar
Sohyun Park
Centers for Disease Control and Prevention

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many persons underestimate the calories in restaurant foods. Increased attention has been given to menu labeling (ML) as a way to provide consumers with point-of-purchase information that can help them reduce calorie intake and make healthier dietary choices. In 2010, a federal law was passed requiring restaurants with 20 or more establishments to display calorie information on menus and menu boards.* The regulations to implement this federal law have not been finalized, but some states and local jurisdictions have implemented their own ML policies, and many restaurants have already begun providing ML. To assess fast food and chain restaurant ML use by state and by demographic subgroup, CDC examined self-reported ML use by adults in 17 states that used the Sugar-Sweetened Beverages and Menu Labeling optional module in the 2012 Behavioral Risk Factor Surveillance System (BRFSS) survey. Based on approximately 97% of adult BRFSS respondents who noticed ML information at restaurants, the estimated overall proportion of ML users in the 17 states was 57.3% (range = 48.7% in Montana to 61.3% in New York). The prevalence of ML use was higher among women than men for all states; the patterns varied by age group and race/ethnicity across states. States and public health professionals can use these findings to track the use of ML and to develop targeted interventions to increase awareness and use of ML among nonusers.

Indexed as

Food LabelingMenu PlanningRestaurantsAdolescentAdultAge FactorsBehavioral Risk Factor Surveillance SystemEthnicityFast FoodsFemaleHumansMaleMiddle AgedRacial GroupsSex FactorsUnited States

Identifiers

PMID25006823
PMCPMC4584710

What OpenQuestion holds

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LicenceCC0
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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.