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Metabolic syndrome criteria and severity and carbon dioxide (CO2) emissions in an adult population

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dc.contributor.author García, Silvia
dc.contributor.author Goday Arno, Alberto
dc.contributor.author Cabanes, Robert
dc.contributor.author Castañer, Olga
dc.contributor.author Ciurana, Ramon
dc.contributor.author Bouzas, Cristina
dc.date.accessioned 2024-05-16T06:08:38Z
dc.date.available 2024-05-16T06:08:38Z
dc.date.issued 2023
dc.identifier.citation García S, Pastor R, Monserrat-Mesquida M, Álvarez-Álvarez L, Rubín-García M, Martínez-González MÁ, et al. Metabolic syndrome criteria and severity and carbon dioxide (CO2) emissions in an adult population. Global Health. 2023 Jul 13;19(1):50. DOI: 10.1186/s12992-023-00948-3
dc.identifier.issn 1744-8603
dc.identifier.uri http://hdl.handle.net/10230/60156
dc.description.abstract Background: Metabolic syndrome (MetS) has become a growing risk factor of some non-communicable diseases. Increase of greenhouse gas emissions affects the planet. Aims: To assess the association between MetS severity and amount of carbon dioxide (CO2) emitted in an adult population. Design: Cross-sectional study (n = 6646; 55-76-year-old-men; 60-75-year-old-women with MetS). Methods: Dietary habits were assessed using a pre-validated semi quantitative 143-item food frequency questionnaire. The amount of CO2 emitted due to the production of food consumed by person and day was calculated using a European database, and the severity of the MetS was calculated with the MetS Severity Score. Results: Higher glycaemia levels were found in people with higher CO2 emissions. The risk of having high severe MetS was related to high CO2 emissions. Conclusions: Low CO2 emissions diet would help to reduce MetS severity. Advantages for both health and the environment were found following a more sustainable diet. Trial registration: ISRCTN, ISRCTN89898870 . Registered 05 September 2013.
dc.description.sponsorship This work was supported by the official Spanish Institutions for funding scientific biomedical research, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN) and Instituto de Salud Carlos III (ISCIII), through the Fondo de Investigación para la Salud (FIS), which is co-funded by the European Regional Development Fund (six coordinated FIS projects leaded by JS-S and JVi, including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, PI19/01332, PI20/01802, PI20/00138, PI20/01532, PI20/00456, PI20/00339, PI20/00557, PI20/00886, PI20/01158); the Especial Action Project entitled: Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus grant to JS-S; the European Research Council (Advanced Research Grant 2014–2019; agreement #340918) granted to MÁM-G.; the Recercaixa (number 2013ACUP00194) grant to JS-S; grants from the Consejería de Salud de la Junta de Andalucía (PI0458/2013, PS0358/2016, PI0137/2018); the PROMETEO/2017/017 grant from the Generalitat Valenciana; the SEMERGEN grant. J.S-S is partially supported by ICREA under the ICREA Academia programme. C.B. was granted by Juan de la Cierva grant. None of the funding sources took part in the design, collection, analysis, interpretation of the data, or writing the report, or in the decision to submit the manuscript for publication.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher BioMed Central
dc.relation.ispartof Global Health. 2023 Jul 13;19(1):50
dc.rights © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title Metabolic syndrome criteria and severity and carbon dioxide (CO2) emissions in an adult population
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1186/s12992-023-00948-3
dc.subject.keyword CO2 emissions
dc.subject.keyword Diet
dc.subject.keyword Environment
dc.subject.keyword Glycaemia
dc.subject.keyword Metabolic syndrome
dc.subject.keyword Non-communicable diseases
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/340918
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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