Evidence map›Paper›PMID 32389142›Full record

ArticlePublic health nutrition2021

Diet-related greenhouse gas emissions and major food contributors among Japanese adults: comparison of different calculation methods.

Minami Sugimoto, Kentaro Murakami, Keiko Asakura, Shizuko Masayasu, Satoshi Sasaki

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Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing papers 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

Who cites it

15 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Minami SugimotoDepartment of Social and Preventive Epidemiology, Division of Health Sciences and Nursing, Graduate School of Medicine, University of Tokyo, Tokyo113-0033, Japan.
Kentaro MurakamiDepartment of Social and Preventive Epidemiology, School of Public Health, University of Tokyo, Tokyo113-0033, Japan.
Keiko AsakuraDepartment of Environmental and Occupational Health, School of Medicine, Toho University, Tokyo143-8540, Japan.
Shizuko MasayasuIkurien-Naka, Ibaraki311-0105, Japan.
Satoshi SasakiDepartment of Social and Preventive Epidemiology, Division of Health Sciences and Nursing, Graduate School of Medicine, University of Tokyo, Tokyo113-0033, Japan.ORCID 0000-0002-5927-2364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a greenhouse gas emissions (GHGE) database for Japanese foods using three different approaches, compare the results of estimated diet-related GHGE and determine major food contributors among Japanese adults.

designCross-sectional. Three GHGE databases were developed: (1) a literature-based method including a literature review of life cycle assessment studies of Japanese foods and (2) production- and (3) consumption-based input-output tables (IOT)-applied methods using the Japanese IOT. All databases were linked to the Japanese food composition table and food consumption data. Diet-related GHGE was estimated based on each database and the 4-d dietary record data. Diet-related GHGE were compared in both total and food group level between the databases.

settingJapan.

participants392 healthy adults aged 20-69 years.

resultsThe mean diet-related GHGE significantly differed according to the calculation methods: 4145 g CO2-equivalent (CO2-eq)/d by the literature-based method, 4031 g CO2-eq/d by the production-based method and 7392 g CO2-eq/d by the consumption-based IOT-applied methods. It significantly differed in food group level as well. Spearman's correlation coefficients between three methods ranged from 0·82 to 0·86. Irrespective of the methods, the top contributor to GHGE was meat (19·7-28·8 %) followed by fish and seafood (13·8-18·3 %).

conclusionsAlthough the identified major food contributors to GHGE were comparable between the three methods, the estimated GHGE values significantly differed by calculation methods. This finding suggested that caution must be taken when interpreting the estimated diet-related GHGE values obtained using the different calculation methods of GHGE.

Indexed as

Greenhouse GasesAdultAgedAnimalsCross-Sectional StudiesDietEnergy IntakeHumansJapanMiddle AgedYoung AdultGreenhouse GasesGreenhouse gas emissionsInput–output tableJapaneseLife cycle analysisSelf-selected diet

Identifiers

PMID32389142
PMCPMC8025089

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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.