Evidence map›Paper›PMID 19608944›Full record

ArticleAmerican journal of public health2009

Menu labeling as a potential strategy for combating the obesity epidemic: a health impact assessment.

Tony Kuo, Christopher J Jarosz, Paul Simon, Jonathan E Fielding

Open access · greenAbstract read
In one paragraph

Article in American journal of public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
13.4field-weighted citation impact, top 1% of its field
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

29 citing papers in PubMed, 98 citations in OpenAlex.

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  10. Menu labeling implementation in dine-in restaurants: the Public's knowledge, attitude and practices.Archives of public health = Archives belges de sante publique · 2017
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  11. Factors Associated with Self-Reported Menu-Labeling Usage among US Adults.Journal of the Academy of Nutrition and Dietetics · 2016
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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

4 authors at 1 institution in 1 country.

Tony KuoLos Angeles County Department of Public Health, Los Angeles, CA 90010, USA. tkuo@ph.lacounty.gov
Christopher J Jarosz
Paul Simon
Jonathan E Fielding
Los Angeles County Department of Public Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe conducted a health impact assessment to quantify the potential impact of a state menu-labeling law on population weight gain in Los Angeles County, California.

methodsWe utilized published and unpublished data to model consumer response to point-of-purchase calorie postings at large chain restaurants in Los Angeles County. We conducted sensitivity analyses to account for uncertainty in consumer response and in the total annual revenue, market share, and average meal price of large chain restaurants in the county.

resultsAssuming that 10% of the restaurant patrons would order reduced-calorie meals in response to calorie postings, resulting in an average reduction of 100 calories per meal, we estimated that menu labeling would avert 40.6% of the 6.75 million pound average annual weight gain in the county population aged 5 years and older. Substantially larger impacts would be realized if higher percentages of patrons ordered reduced-calorie meals or if average per-meal calorie reductions increased.

conclusionsOur findings suggest that mandated menu labeling could have a sizable salutary impact on the obesity epidemic, even with only modest changes in consumer behavior.

Indexed as

AdolescentAdultCaloric RestrictionChildChild, PreschoolChoice BehaviorDisease OutbreaksFeeding BehaviorFood LabelingHumansLos AngelesMenu PlanningModels, TheoreticalObesityOutcome Assessment, Health CarePreventive Health Services

Identifiers

PMID19608944
PMCPMC2724462
OpenAlexW2104201484

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.