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Abstract
The energy industry significantly contributes to anthropogenic methane emissions, which add to global warming and have been linked to an increased risk of cardiovascular diseases (CVD). This study aims to evaluate the relationship between energy-related methane emissions and the burden of CVD, measured in disability-adjusted life years (DALYs), in 2019. We conducted a cross-sectional analysis of datasets from 73 countries across all continents. The analyzed datasets included information from 2019 on environmental energy-related methane emissions, burden of DALYs due to CVD. The age-standardized prevalence of obesity in adults and life expectancy at birth were retrieved. The relationship between the variables of interest was evaluated using multiple linear regression models. In the multiple model, we observed a positive linear association between methane emissions and the log-transformed count of DALYs related to CVD. Specifically, for each unit increase in energy-related methane emissions, the burden of CVD increased by 0.06% (95% CI 0.03–0.09%, p < 0.001). The study suggests that reducing methane emissions from the energy industry could improve public health for those at risk of CVD. Policymakers can use these findings to develop strategies to reduce methane emissions and protect public health.
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1 University of Colima, Faculty of Civil Engineering, Coquimatlán, Mexico (GRID:grid.412887.0) (ISNI:0000 0001 2375 8971)
2 University of Colima, University Center for Biomedical Research, Colima, Mexico (GRID:grid.412887.0) (ISNI:0000 0001 2375 8971)
3 University Center for Biomedical Research, CONAHCyT—University of Colima, Colima, Mexico (GRID:grid.412887.0) (ISNI:0000 0001 2375 8971)
4 Universidad Autónoma Benito Juárez de Oaxaca, CONAHCyT — Faculty of Medicine and Surgery, Oaxaca, Mexico (GRID:grid.440442.2) (ISNI:0000 0000 9879 5673)
5 University of Colima, Faculty of Medicine, Colima, Mexico (GRID:grid.412887.0) (ISNI:0000 0001 2375 8971)
6 National Autonomous University of Mexico, Climate Change Research Program, Mexico City, Mexico (GRID:grid.9486.3) (ISNI:0000 0001 2159 0001)
7 University of Guanajuato, Noria Alta Unit, Division of Natural and Exact Sciences, Department of Chemistry, Guanajuato, Mexico (GRID:grid.412891.7) (ISNI:0000 0001 0561 8457)
8 Mexican Institute of Social Security, Unit of Clinical Epidemiology Research, Villa de Álvarez, Mexico (GRID:grid.419157.f) (ISNI:0000 0001 1091 9430)