Greenhouse gases emissions from the diet and risk of death and chronic diseases in the EPIC-Spain cohort.


Journal

European journal of public health
ISSN: 1464-360X
Titre abrégé: Eur J Public Health
Pays: England
ID NLM: 9204966

Informations de publication

Date de publication:
01 02 2021
Historique:
pubmed: 2 10 2020
medline: 2 7 2021
entrez: 1 10 2020
Statut: ppublish

Résumé

Evidence from the scientific literature shows a significant variation in greenhouse gas (GHG) emissions from the diet, according to the type of food consumed. We aim to analyze the relationship between the daily dietary GHG emissions according to red meat, fruit and vegetables consumption and their relationship with risk of total mortality, and incident risk of chronic diseases. We examined data on the EPIC-Spain prospective study, with a sample of 40 621 participants. Dietary GHG emission values were calculated for 57 food items of the EPIC study using mean emission data from a systematic review of 369 published studies. Dietary GHG emissions (kgCO2eq/day), per 2000 kcal, were 4.7 times higher in those with high red-meat consumption (>140 g/day) than those with low consumption (<70 g/day). The average dietary GHG emissions were similar in males and females, but it was significantly higher in youngest people and in those individuals with lower educational level, as well as for northern EPIC centers of Spain. We found a significant association with the risk of mortality comparing the third vs. the first tertile of dietary GHG emissions [hazard ratio (HR) 1.095; 95% confidence interval (CI) 1.007-1.19; trend test 0.037]. Risk of coronary heart disease (HR 1.26; 95% CI 1.08-1.48; trend test 0.003) and risk of type 2 diabetes (HR 1.24; 95% CI 1.11-1.38; trend test 0.002) showed significant association as well. Decreasing red-meat consumption would lead to reduce GHG emissions from diet and would reduce risk of mortality, coronary heart disease and type 2 diabetes.

Sections du résumé

BACKGROUND
Evidence from the scientific literature shows a significant variation in greenhouse gas (GHG) emissions from the diet, according to the type of food consumed. We aim to analyze the relationship between the daily dietary GHG emissions according to red meat, fruit and vegetables consumption and their relationship with risk of total mortality, and incident risk of chronic diseases.
METHODS
We examined data on the EPIC-Spain prospective study, with a sample of 40 621 participants. Dietary GHG emission values were calculated for 57 food items of the EPIC study using mean emission data from a systematic review of 369 published studies.
RESULTS
Dietary GHG emissions (kgCO2eq/day), per 2000 kcal, were 4.7 times higher in those with high red-meat consumption (>140 g/day) than those with low consumption (<70 g/day). The average dietary GHG emissions were similar in males and females, but it was significantly higher in youngest people and in those individuals with lower educational level, as well as for northern EPIC centers of Spain. We found a significant association with the risk of mortality comparing the third vs. the first tertile of dietary GHG emissions [hazard ratio (HR) 1.095; 95% confidence interval (CI) 1.007-1.19; trend test 0.037]. Risk of coronary heart disease (HR 1.26; 95% CI 1.08-1.48; trend test 0.003) and risk of type 2 diabetes (HR 1.24; 95% CI 1.11-1.38; trend test 0.002) showed significant association as well.
CONCLUSIONS
Decreasing red-meat consumption would lead to reduce GHG emissions from diet and would reduce risk of mortality, coronary heart disease and type 2 diabetes.

Identifiants

pubmed: 33001211
pii: 5916395
doi: 10.1093/eurpub/ckaa167
doi:

Substances chimiques

Greenhouse Gases 0

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

130-135

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Auteurs

Carlos A González (CA)

Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, Barcelona, Spain.

Catalina Bonet (C)

Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, Barcelona, Spain.

Miguel de Pablo (M)

Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, Barcelona, Spain.

María José Sanchez (MJ)

Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain.
CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.

Elena Salamanca-Fernandez (E)

Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain.

Miren Dorronsoro (M)

BioDonostia Research Institute, San Sebastian, Spain.
Public Health Department of Gipuzkoa, Government of the Basque Country, San Sebastian, Spain.

Pilar Amiano (P)

BioDonostia Research Institute, San Sebastian, Spain.
Public Health Department of Gipuzkoa, Government of the Basque Country, San Sebastian, Spain.
Subdireccion de Salud Pública de Gipuzkoa, Gobierno Vasco, San Sebastian, Spain.

Jose María Huerta (JM)

CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain.
Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain.

María Dolores Chirlaque (MD)

CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain.
Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain.

Eva Ardanaz (E)

CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Navarra Public Health Institute, Pamplona, Spain.
Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.

Aurelio Barricarte (A)

CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Navarra Public Health Institute, Pamplona, Spain.
Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.

Jose Ramón Quirós (JR)

EPIC Asturias, Public Health Directorate, Asturias, Spain.

Antonio Agudo (A)

Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, Barcelona, Spain.

Marta Guadalupe Rivera Ferrer (MG)

Agroecology and Food Systems Chair, University of Vic-Central University of Catalonia, Vic, Spain.

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