Evidence map›Paper›PMID 41006891›Full record

ArticleJournal of behavioral medicine2025

Food labeling strategies to alter meat analogue consumption willingness in Midwestern adults.

Lindsey Fremling, Alison Phillips

Abstract read
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Article in Journal of behavioral medicine, 2025. 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

2 authors.

Lindsey FremlingDepartment of Psychology, Iowa State University, Lagomarcino Hall, 1347 Stange Rd, Ames, IA, 50011, USA. fremling@iastate.edu.ORCID http://orcid.org/0009-0001-2172-0379
Alison PhillipsDepartment of Psychology, Iowa State University, Lagomarcino Hall, 1347 Stange Rd, Ames, IA, 50011, USA.ORCID https://orcid.org/0000-0003-1126-1559

Funding

Iowa State University N/A
6 · The paper itself

Abstract

High levels of meat consumption pose well-documented risks to both human health and environmental sustainability. Given the substantial resources required for meat production and the pressures of population growth, continued reliance on meat as the dominant protein source is increasingly untenable. The Midwest region of the United States, which exhibits disproportionately high rates of both meat production and consumption, represents a particularly critical context for interventions aimed at shifting dietary behavior. Encouraging adoption of meat analogues in this region could have an outsized impact on both consumption patterns and environmental outcomes. The present study draws on theories of limited-resource social dilemmas and extends prior research on pro-environmental messaging and food labeling to evaluate strategies for increasing acceptance of meat analogues. A 2 (label present vs. absent) × 3 (label type: education, identity, social norm) factorial experiment was conducted to assess expected liking, willingness to try, willingness to purchase, and willingness to substitute meat analogues for conventional meat among Midwestern adults. Findings revealed a significant interaction between social norm and identity labels: when presented in combination, these labels increased expected liking (p = .013), willingness to purchase (p = .007), and willingness to substitute (p = .011). In contrast, education labels produced a significant backfiring effect on willingness to try (p = .013), raising important concerns about the efficacy of commonly used sustainability messaging. Finally, results indicated that the majority of participants were not willing to pay more for environmentally sustainable meat analogues, a pattern that diverges from past findings and highlights the need for pricing strategies.

Indexed as

Consumer BehaviorFood LabelingFood PreferencesMeatAdultFemaleHumansMaleMiddle AgedMidwestern United StatesSocial NormsYoung AdultConsumer acceptanceFood labelingMeat analoguesSocial dilemmasSustainability

Identifiers

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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.