Evidence map›Paper›PMID 27362764›Full record

ArticlePloS one2016

Beyond Wishful Thinking: Integrating Consumer Preferences in the Assessment of Dietary Recommendations.

Xavier Irz, Pascal Leroy, Vincent Réquillart, Louis-Georges Soler

Abstract read
In one paragraph

Article in PloS one, 2016. 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.

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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.

Xavier IrzNatural Resources Institute Finland (Luke), Economics & Society Research Unit, Helsinki, Finland.ORCID http://orcid.org/0000-0001-5659-5291
Pascal LeroyInstitut National de la Recherche Agronomique, INRA-ALISS, UR 1303, Ivry-sur-Seine, France.
Vincent RéquillartToulouse School of Economics, Université Toulouse Capitole (INRA), Toulouse, France.
Louis-Georges SolerInstitut National de la Recherche Agronomique, INRA-ALISS, UR 1303, Ivry-sur-Seine, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Convenience, taste, and prices are the main determinants of food choices. Complying with dietary recommendations therefore imposes a "taste cost" on consumers, potentially hindering adoption of those recommendations. The study presents and applies a new methodology, based on economic theory, to quantify this taste cost and assess the health and welfare effects of different dietary recommendations. Then, by comparison of those effects, we identify socially desirable recommendations that are most compatible with consumer preferences (i.e., that best balance health benefits against"taste cost") and should be prioritized for promotion. The methodology proceeds in three-steps: first, an economic-behavioral model simulates how whole diets would change if consumers complied with dietary recommendations; second, an epidemiological model estimates the number of deaths avoided (DA) due to the dietary change; third, an efficiency analysis weighs the health benefits against the taste and policy costs of each recommendation. The empirical model is calibrated using French data. We find that recommendations to reduce consumption of red meat and soft-drinks, or raise consumption of milk products and fish/seafood impose relatively moderate taste costs. By comparison, recommendations related to F&V consumption and, to a lesser extent, butter/cream/cheese, snacks, and all meats impose larger taste costs on consumers. The F&V recommendation is the costliest for consumers to comply with, but it also reduces diet-related mortality the most, so that a large budget could be allocated to promoting F&V consumption while keeping this policy cost-beneficial. We conclude that promotion of most dietary recommendations improves social welfare. Our framework complements the programming models available in nutrition and public health: those models are best used to identify dietary targets, following which our framework identifies cost-beneficial ways of moving towards those targets.

Indexed as

Consumer BehaviorNutritional RequirementsNutrition PolicyAttitude to HealthCarbonated BeveragesChoice BehaviorCost-Benefit AnalysisDietFeeding BehaviorFood PreferencesHumansMeatModels, EconomicNutritional StatusNutritive ValueTaste Perception

Identifiers

PMID27362764
PMCPMC4928961

What OpenQuestion holds

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LicenceCC BY
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.