Association between Diet-Related Greenhouse Gas Emissions and Mortality among Japanese Adults: The Japan Collaborative Cohort Study.
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| Title: | Association between Diet-Related Greenhouse Gas Emissions and Mortality among Japanese Adults: The Japan Collaborative Cohort Study. |
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| Authors: | Daiki Watanabe1,2, Kotatsu Maruyama3, Akiko Tamakoshi4, Isao Muraki5 muraki@pbhel.med.osaka-u.ac.jp, JACC Study Group |
| Source: | Environmental Health Perspectives. Nov2024, Vol. 132 Issue 11, p117002-1-117002-10. 10p. |
| Subject Terms: | *Greenhouse gas analysis, *Environmental health, *Food consumption, *Grain, Mortality risk factors, Risk assessment, Lifestyles, Fruit, Research funding, Interprofessional relations, Potatoes, Dietary sucrose, Eggs, Data analysis, Nutritional assessment, Questionnaires, Causes of death, Global burden of disease, Descriptive statistics, Multivariate analysis, Longitudinal method, Odds ratio, Vegetables, Statistics, Pulse (Heart beat), Comparative studies, Confidence intervals, Data analysis software, Diet, Proportional hazards models |
| Geographic Terms: | Japan |
| Abstract: | BACKGROUND: Planetary and human health are highly intertwined; our current food system is associated with high greenhouse gas emissions (GHGE) and burden of disease. OBJECTIVE: The aim of this study was to investigate the associations of diet-related GHGE with all-cause and cause-specific mortality in Japan. METHODS: This 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. Results: The average diet-related GHGE was 1,522??g-CO2-eq/kg?food/d. Over a period of 19.3 y (955,819 person-years) of median follow-up, 11,508 deaths were documented. After adjusting for lifestyle and medical history, in comparison with the fourth quintiles of diet-related GHGE, the first and fifth quintiles were associated with a higher risk of all-cause mortality: multivariable HR of all-cause mortality was 1.11 [95% confidence interval (CI): 1.05, 1.18] and 1.09 (95% CI: 1.03, 1.17) for the lowest and highest GHGE, respectively; those of cardiovascular disease mortality were 1.23 (95% CI: 1.10, 1.38) and 1.22 (95% CI: 1.08, 1.37), respectively. The diet-related GHGE range with the lowest HR of all-cause mortality was 1,400–1,600??g-CO2eq/kg food/d (푝 for nonlinearity <0.001). Replacing one serving of red meat with one serving of pulses was inversely associated with all-cause mortality (HR=0.96; 95% CI: 0.93, 0.99) and GHGE (mean change, -347??g-CO2-eq/kg/d; 95% CI: -353, -342). 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 181812113 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Association between Diet-Related Greenhouse Gas Emissions and Mortality among Japanese Adults: The Japan Collaborative Cohort Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Daiki+Watanabe%22">Daiki Watanabe</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kotatsu+Maruyama%22">Kotatsu Maruyama</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Akiko+Tamakoshi%22">Akiko Tamakoshi</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Isao+Muraki%22">Isao Muraki</searchLink><relatesTo>5</relatesTo><i> muraki@pbhel.med.osaka-u.ac.jp</i><br /><searchLink fieldCode="AR" term="%22JACC+Study+Group%22">JACC Study Group</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. Nov2024, Vol. 132 Issue 11, p117002-1-117002-10. 10p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Greenhouse+gas+analysis%22">Greenhouse gas analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+health%22">Environmental health</searchLink><br />*<searchLink fieldCode="DE" term="%22Food+consumption%22">Food consumption</searchLink><br />*<searchLink fieldCode="DE" term="%22Grain%22">Grain</searchLink><br /><searchLink fieldCode="DE" term="%22Mortality+risk+factors%22">Mortality risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Lifestyles%22">Lifestyles</searchLink><br /><searchLink fieldCode="DE" term="%22Fruit%22">Fruit</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Interprofessional+relations%22">Interprofessional relations</searchLink><br /><searchLink fieldCode="DE" term="%22Potatoes%22">Potatoes</searchLink><br /><searchLink fieldCode="DE" term="%22Dietary+sucrose%22">Dietary sucrose</searchLink><br /><searchLink fieldCode="DE" term="%22Eggs%22">Eggs</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Nutritional+assessment%22">Nutritional assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Causes+of+death%22">Causes of death</searchLink><br /><searchLink fieldCode="DE" term="%22Global+burden+of+disease%22">Global burden of disease</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Vegetables%22">Vegetables</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Pulse+%28Heart+beat%29%22">Pulse (Heart beat)</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Diet%22">Diet</searchLink><br /><searchLink fieldCode="DE" term="%22Proportional+hazards+models%22">Proportional hazards models</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Japan%22">Japan</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: BACKGROUND: Planetary and human health are highly intertwined; our current food system is associated with high greenhouse gas emissions (GHGE) and burden of disease. OBJECTIVE: The aim of this study was to investigate the associations of diet-related GHGE with all-cause and cause-specific mortality in Japan. METHODS: This 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. Results: The average diet-related GHGE was 1,522??g-CO2-eq/kg?food/d. Over a period of 19.3 y (955,819 person-years) of median follow-up, 11,508 deaths were documented. After adjusting for lifestyle and medical history, in comparison with the fourth quintiles of diet-related GHGE, the first and fifth quintiles were associated with a higher risk of all-cause mortality: multivariable HR of all-cause mortality was 1.11 [95% confidence interval (CI): 1.05, 1.18] and 1.09 (95% CI: 1.03, 1.17) for the lowest and highest GHGE, respectively; those of cardiovascular disease mortality were 1.23 (95% CI: 1.10, 1.38) and 1.22 (95% CI: 1.08, 1.37), respectively. The diet-related GHGE range with the lowest HR of all-cause mortality was 1,400–1,600??g-CO2eq/kg food/d (푝 for nonlinearity <0.001). Replacing one serving of red meat with one serving of pulses was inversely associated with all-cause mortality (HR=0.96; 95% CI: 0.93, 0.99) and GHGE (mean change, -347??g-CO2-eq/kg/d; 95% CI: -353, -342). 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1289/EHP14935 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 117002-1 Subjects: – SubjectFull: Greenhouse gas analysis Type: general – SubjectFull: Environmental health Type: general – SubjectFull: Food consumption Type: general – SubjectFull: Grain Type: general – SubjectFull: Mortality risk factors Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Lifestyles Type: general – SubjectFull: Fruit Type: general – SubjectFull: Research funding Type: general – SubjectFull: Interprofessional relations Type: general – SubjectFull: Potatoes Type: general – SubjectFull: Dietary sucrose Type: general – SubjectFull: Eggs Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Nutritional assessment Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Causes of death Type: general – SubjectFull: Global burden of disease Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Odds ratio Type: general – SubjectFull: Vegetables Type: general – SubjectFull: Statistics Type: general – SubjectFull: Pulse (Heart beat) Type: general – SubjectFull: Comparative studies Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Diet Type: general – SubjectFull: Proportional hazards models Type: general – SubjectFull: Japan Type: general Titles: – TitleFull: Association between Diet-Related Greenhouse Gas Emissions and Mortality among Japanese Adults: The Japan Collaborative Cohort Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Daiki Watanabe – PersonEntity: Name: NameFull: Kotatsu Maruyama – PersonEntity: Name: NameFull: Akiko Tamakoshi – PersonEntity: Name: NameFull: Isao Muraki – PersonEntity: Name: NameFull: JACC Study Group IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00916765 Numbering: – Type: volume Value: 132 – Type: issue Value: 11 Titles: – TitleFull: Environmental Health Perspectives Type: main |
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