Evidence map›Paper›PMID 37598225›Full record

ArticleScientific reports2023

Assessing the relationship between energy-related methane emissions and the burden of cardiovascular diseases: a cross-sectional study of 73 countries.

Oliver Mendoza-Cano, Xóchitl Trujillo, Miguel Huerta, Mónica Ríos-Silva, Agustin Lugo-Radillo, Jaime Alberto Bricio-Barrios, José Clemente Rueda-Abad, Rebeca Yasmín Pérez-Rodríguez, Ana Luz Quintanilla-Montoya, Juan Manuel Uribe-Ramos and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Oliver Mendoza-CanoFaculty of Civil Engineering, University of Colima, km. 9 Colima-Coquimatlán Highway, 28400, Coquimatlán, Colima, Mexico.
Xóchitl TrujilloUniversity Center for Biomedical Research, University of Colima, 25 de Julio Avenue 965, 28045, Colima, Colima, Mexico.
Miguel HuertaUniversity Center for Biomedical Research, University of Colima, 25 de Julio Avenue 965, 28045, Colima, Colima, Mexico.
Mónica Ríos-SilvaCONAHCyT-University of Colima, University Center for Biomedical Research, 25 de Julio Avenue 965, 28045, Colima, Colima, Mexico.
Agustin Lugo-RadilloCONAHCyT - Faculty of Medicine and Surgery, Universidad Autónoma Benito Juárez de Oaxaca, Ex Hacienda de Aguilera S/N, Carr. a San Felipe del Agua, 68020, Oaxaca, Oaxaca, Mexico.
Jaime Alberto Bricio-BarriosFaculty of Medicine, University of Colima, Universidad Avenue 333, 28040, Colima, Colima, Mexico.
José Clemente Rueda-AbadClimate Change Research Program, National Autonomous University of Mexico, Scientific Research S/N, University City, 04510, Mexico City, Mexico.
Rebeca Yasmín Pérez-RodríguezDivision of Natural and Exact Sciences, Department of Chemistry, University of Guanajuato, Noria Alta Unit, Col. Noria Alta S/N, 36050, Guanajuato, Guanajuato, Mexico.
Ana Luz Quintanilla-MontoyaFaculty of Civil Engineering, University of Colima, km. 9 Colima-Coquimatlán Highway, 28400, Coquimatlán, Colima, Mexico.
Juan Manuel Uribe-RamosFaculty of Civil Engineering, University of Colima, km. 9 Colima-Coquimatlán Highway, 28400, Coquimatlán, Colima, Mexico.
Valeria Argentina Mendoza-OlivoFaculty of Civil Engineering, University of Colima, km. 9 Colima-Coquimatlán Highway, 28400, Coquimatlán, Colima, Mexico.
Efrén Murillo-ZamoraUnit of Clinical Epidemiology Research, Mexican Institute of Social Security, Lapislázuli Avenue 250, 28984, Villa de Álvarez, Colima, Mexico. efren.murilloza@imss.gob.mx.
Universidad de Colima · MXBenito Juárez Autonomous University of Oaxaca · MXMexican Social Security Institute · MXUniversidad de Guanajuato · MXUniversidad Nacional Autónoma de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cardiovascular DiseasesAdultCross-Sectional StudiesDisability-Adjusted Life YearsGlobal WarmingHumansInfant, NewbornMethaneMethane

Identifiers

PMID37598225
PMCPMC10439906
OpenAlexW4386001311

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.