Evidence map›Paper›PMID 42870128›Full record

ArticleEuropean journal of nutrition2026

Optimizing Japanese dietary patterns to improve nutritional quality, reduce environmental impact under affordability constraints in younger and older adults from the nationwide MINNADE study.

Minami Sugimoto, Hitomi Okubo, Yasunori Kikuchi, Sander Biesbroek, Elisabeth H M Temme, Ryoko Katagiri

Abstract read
In one paragraph

Article in European journal of nutrition, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Minami SugimotoDepartment of Environmental and Occupational Health, School of Medicine, Toho University, 5-21-16 Omori-Nishi, Ota-Ku, Tokyo, 143-8540, Japan. minami.sugimoto@med.toho-u.ac.jp.ORCID https://orcid.org/0000-0002-3692-2707
Hitomi OkuboDepartment of Nutritional Epidemiology and Behavioural Nutrition, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Yasunori KikuchiInstitute for Future Initiatives, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Sander BiesbroekDivision of Human Nutrition and Health, Wageningen University & Research, 6700 AA, Wageningen, The Netherlands.
Elisabeth H M TemmeDivision of Human Nutrition and Health, Wageningen University & Research, 6700 AA, Wageningen, The Netherlands.
Ryoko KatagiriFaculty of Informatics, Graduate School of Informatics, Chiba University, 1-33, Yayoicho, Inage-ku, Chiba-shi, Chiba, 263-8522, Japan.

Funding

Japan Science and Technology Corporation JPMJPF2003Japan Society for the Promotion of Science JP24K05543the Ministry of Health, Labour and Welfare of Japan JPMH26FA2001The Ministry of Health, Labour and Welfare of Japan JPMH24FA1012
6 · The paper itself

Abstract

purposeTo optimise diets that are more nutritious, have lower diet-related greenhouse gas emissions (GHGE) based on cradle-to-pre-retail impact, and remain affordable for Japanese adults of different age groups.

methodsEight-day dietary records collected from younger (aged 18-49 years; 711 males and 734 females) and older (aged 50-74 years; 565 males and 605 females) Japanese adults were analysed. For each sex-age group, optimised diets were derived under three optimisation models using Data Envelopment Analysis: (i) MaxNRF: maximisation of diet quality score (Nutrient Rich Food Index [NRF] 9.3); (ii) MinGHGE: minimisation of GHGE; and (iii) OPT2G: combination of both objectives. All models included a monetary cost constraint (105% of observed). The proportions of participants having inadequate nutrient intakes, based on the Japanese Dietary Reference Intakes, were compared between observed diets and three optimised diets.

resultsAll optimised diets showed NRF9.3 scores 13.5-35.9% higher than those observed in all sex-age groups. GHGE decreased by 12.6-32.7% in the MinGHGE and OPT2G only. Differences between the optimised and observed diets in NRF9.3 score and GHGE were generally larger in younger than in older adults. All optimised diets showed lower or similar prevalences of inadequate nutrient intake compared with observed values. However, in younger males, optimised diets with MinGHGE had less favourable macronutrient distributions and higher inadequacies of vitamins A, C, and riboflavin than observed.

conclusionOptimised diets showed better nutrient adequacy and lower GHGE across all sex-age groups, although specific nutrient shortfalls warrant attention when minimising GHGE in younger males.

Indexed as

DietDiet, HealthyNutritive ValueAdolescentAdultAgedDiet RecordsEast Asian PeopleEnvironmentFemaleGreenhouse GasesHumansJapanMaleMiddle AgedYoung AdultGreenhouse GasesData envelopment analysisDietary reference intakes for JapaneseDiet optimisationEnvironmental impactSustainable diet

Identifiers

PMID42870128
PMCPMC13661754

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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.