Evidence map›Paper›PMID 29409556›Full record

ArticlePublic health nutrition2018

Effect of default menus on food selection and consumption in a college dining hall simulation study.

Cynthia Radnitz, Katharine L Loeb, Kathleen L Keller, Kerri Boutelle, Marlene B Schwartz, Lauren Todd, Sue Marcus

Abstract read
In one paragraph

Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Cynthia Radnitz1School of Psychology,Fairleigh Dickinson University,1000 River Road,Teaneck,NJ 07666,USA.
Katharine L Loeb1School of Psychology,Fairleigh Dickinson University,1000 River Road,Teaneck,NJ 07666,USA.
Kathleen L Keller2Department of Nutritional Sciences/Department of Food Science,The Pennsylvania State University,University Park,PA,USA.
Kerri Boutelle3Departments of Pediatrics and Psychiatry,University of California San Diego,La Jolla,CA,USA.
Marlene B Schwartz4UConn Rudd Center for Food Policy & Obesity,University of Connecticut,Hartford,CT,USA.
Lauren Todd1School of Psychology,Fairleigh Dickinson University,1000 River Road,Teaneck,NJ 07666,USA.
Sue Marcus5Independent Statistical Consultant,Philadelphia,PA,USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo test an obesity prevention strategy derived from behavioural economics (optimal defaults plus delay), focused on changing the college dining hall service method.

designAfter a uniform pre-load, participants attended an experimental lunch in groups randomized to one of three conditions: a nutrient-dense, lower-fat/energy lunch as an optimal default (OD); a less-nutrient-dense, higher-fat/energy lunch as a suboptimal default (SD); or a free array (FA) lunch. In the OD condition, students were presented a menu depicting healthier vegetarian and omnivore foods as default, with opt-out alternatives (SD menu) available on request with a 15 min wait. In the SD condition, the same menu format was used with the positioning of food items switched. In the FA condition, all choices were presented in uniform fonts and were available immediately.

settingPrivate rooms designed to provide a small version of a college dining hall, on two campuses of a Northeastern US university. SUBJECTS: First-year college students (n 129).

resultsThere was a significant main effect for condition on percentage of optimal choices selected, with 94 % of food choices in the OD condition optimal, 47 % in the FA condition optimal and none in the SD condition optimal. Similarly, energy intake for those in the SD condition significantly exceeded that in the FA condition, which exceeded that in the OD condition.

conclusionsPresenting menu items as optimal defaults with a delay had a significant impact on choice and consumption, suggesting that further research into its long-term applicability is warranted.

Indexed as

Food LabelingFood ServicesAdolescentAdultCross-Sectional StudiesDietFemaleFood PreferencesHumansMaleObesityStudentsUniversitiesYoung AdultAdolescentCollegeDefaultObesityPrevention

Identifiers

PMID29409556
PMCPMC10261610

What OpenQuestion holds

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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.