Evidence map›Paper›PMID 38584247›Full record

ArticleEuropean journal of nutrition2024

Exploring tradeoffs among diet quality and environmental impacts in self-selected diets: a population-based study.

Rachel Mazac, Matti Hyyrynen, Niina E Kaartinen, Satu Männistö, Xavier Irz, Kari Hyytiäinen, Hanna L Tuomisto, Chiara Lombardini

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Article in European journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Rachel MazacFaculty of Agriculture and Forestry, Department of Agricultural Sciences and Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, Finland. rachel.mazac@helsinki.fi.ORCID http://orcid.org/0000-0002-0287-6984
Matti HyyrynenNatural Resource Institute of Finland, Helsinki, Finland.ORCID http://orcid.org/0000-0002-3603-1760
Niina E KaartinenFinnish Institute for Health and Welfare, Helsinki, Finland.ORCID http://orcid.org/0000-0002-6812-2237
Satu MännistöFinnish Institute for Health and Welfare, Helsinki, Finland.ORCID http://orcid.org/0000-0002-8668-3046
Xavier IrzFaculty of Agriculture and Forestry, Department of Economics and Management and Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0001-5659-5291
Kari HyytiäinenFaculty of Agriculture and Forestry, Department of Economics and Management and Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-4366-0186
Hanna L TuomistoFaculty of Agriculture and Forestry, Department of Agricultural Sciences and Helsinki Institute of Sustainability Science, Natural Resources Institute Finland (Luke), University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-5971-8354
Chiara LombardiniFaculty of Agriculture and Forestry, Department of Economics and Management and Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-6283-2158

Funding

Strategic Research Council 327698Strategic Research Council 327699Strategic Research Council 352483
6 · The paper itself

Abstract

purposeProposed sustainable diets often deviate dramatically from currently consumed diets, excluding or drastically reducing entire food groups. Moreover, their environmental sustainability tends to be measured only in terms of greenhouse gases emissions. The aim of this study was to overcome these limitations and identify a cluster of already adopted, relatively healthy diets with substantially lower environmental impacts than the average diet. We also aimed to estimate the reduction in multiple environmental impacts that could be achieved by shifting to this diet cluster and highlight possible tradeoffs among environmental impacts.

methodsThe diet clusters were identified by applying energy-adjusted multiple factor analysis and hierarchical clustering to the dietary data of the National FinHealth 2017 Study (n = 5125) harmonized with life cycle assessment data on food products from Agribalyse 3.0 and Agri-Footprint using nutrient intakes and global warming potential, land use, and eutrophication of marine and freshwater systems as the active variables.

resultsWe identified five diet clusters, none of which had the highest overall diet quality and lowest impact for all four environmental indicators. One cluster, including twenty percent of the individuals in the sample was identified as a "best compromise" diet with the highest diet quality and the second lowest environmental impacts of all clusters, except for freshwater eutrophication. The cluster did not exclude any food groups, but included more fruits, vegetables, and fish and less of all other animal-source foods than average. Shifting to this cluster diet could raise diet quality while achieving significant reductions in most but not all environmental impacts.

conclusionThere are tradeoffs among the environmental impacts of diets. Thus, future dietary analyses should consider multiple sustainability indicators simultaneously. Cluster analysis is a useful tool to help design tailored, socio-culturally acceptable dietary transition paths towards high diet quality and lower environmental impact.

Indexed as

DietEnvironmentAdultAgedCluster AnalysisDiet, HealthyFemaleHumansMaleMiddle AgedDietary patternsEnvironmental impactsFFQHealthMulticriteria analysisSustainability

Identifiers

PMID38584247
PMCPMC11329690

What OpenQuestion holds

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Registered trials

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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.