Evidence map›Paper›PMID 39509283›Full record

ArticleEnvironmental health perspectives2024

Association between Diet-Related Greenhouse Gas Emissions and Mortality among Japanese Adults: The Japan Collaborative Cohort Study.

Daiki Watanabe, Kotatsu Maruyama, Akiko Tamakoshi, Isao Muraki, JACC Study Group

Abstract read
In one paragraph

Article in Environmental health perspectives, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

5 authors.

Daiki WatanabeFaculty of Sport Sciences, Waseda University, Tokorozawa, Saitama, Japan.
Kotatsu MaruyamaLaboratory of Community Health and Nutrition, Special Course of Food and Health Science, Department of Bioscience, Graduate School of Agriculture, Ehime University, Matsuyama, Ehime, Japan.
Akiko TamakoshiDepartment of Public Health, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.
Isao MurakiDivision of Public Health, Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.ORCID 0000-0003-0058-7721
JACC Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlanetary and human health are highly intertwined; our current food system is associated with high greenhouse gas emissions (GHGE) and burden of disease.

objectiveThe aim of this study was to investigate the associations of diet-related GHGE with all-cause and cause-specific mortality in Japan.

methodsThis study included 58,031 Japanese adults (35,078 women and 22,953 men) 40-79 y of age who participated in the Japan Collaborative Cohort Study during the period 1988-1990. Diet-related GHGE was calculated from dietary intake estimated by a validated food frequency questionnaire and previously developed GHGE tables of each food and beverage. Participants were classified into quintiles of diet-related GHGE per kg food/d. Hazard ratios (HRs) of all-cause and cause-specific mortality were calculated using the Cox proportional hazard and restricted cubic spline models.

resultsThe average diet-related GHGE was DISCUSSION: Diet-related GHGE was associated with all-cause and cardiovascular disease mortality in a U-shaped fashion. This finding could be useful for creating a policy for sustainable shifts in dietary habits that will benefit the population and environmental health. https://doi.org/10.1289/EHP14935.

Indexed as

DietGreenhouse GasesAdultAgedCohort StudiesEast Asian PeopleFemaleHumansJapanMaleMiddle AgedMortalityProportional Hazards ModelsGreenhouse Gases

Identifiers

PMID39509283
PMCPMC11542713

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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.