Body composition and CO2 dietary emissions

BackgroundThe amount and quality of foods consumed not only impact on individual health, as reflected in body composition, but they could influence on greenhouse gas emissions and then, on environment.AimThis study aims to assess the relationship between the body composition and the CO2 emissions re...

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Main Authors: Silvia García, Margalida Monserrat-Mesquida, Sebastián Mas-Fontao, Esther Cuadrado-Soto, María Ortiz-Ramos, Pilar Matía-Martín, Lidia Daimiel, Clotilde Vázquez, Josep A. Tur, Cristina Bouzas
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Public Health
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Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2024.1432109/full
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Summary:BackgroundThe amount and quality of foods consumed not only impact on individual health, as reflected in body composition, but they could influence on greenhouse gas emissions and then, on environment.AimThis study aims to assess the relationship between the body composition and the CO2 emissions resulting from the dietary choices of an adult population.DesignA cross-sectional study on baseline data from 778 participants aged 55–75 years old, with metabolic syndrome (MetS) as part of the PREDIMED-Plus study.MethodsFood intake was registered using a validated semi quantitative 143-item food frequency questionnaire. The amount of CO2 emitted was calculated using data from the Agribalyse® 3.0.1 database. Anthropometry (body weight, height, and waist, and hip circumference, and body mass index) was determined by usual measurements, and body composition (fat mass, visceral fat, muscular mass, fat free mass, and total body water) were assessed by bioimpedance.ResultsCO2 emissions were linearly and positively associated with weight, waist circumference, visceral fat, fat free mass, total body water and energy intake.ConclusionBody composition is associated with dietary CO2 emissions. The higher total body water, fat free mass, and body weight, the higher the dietary CO2 emissions were, following a linear relationship.Clinical trial registrationhttp://www.isrctn.com/ISRCTN89898870, ISRCTN89898870.
ISSN:2296-2565