Air Pollution, Residential Greenness and Metabolic Dysfunction during Early Pregnancy in the INfancia y Medio Ambiente (INMA) Cohort


Por: Rammah A, Whitworth KW, Amos CI, Estarlich M, Guxens M, Ibarluzea J, Iñiguez C, Subiza-Pérez M, Vrijheid M and Symanski E

Publicada: 1 sep 2021 Ahead of Print: 4 sep 2021
Resumen:
Despite extensive study, the role of air pollution in gestational diabetes remains unclear, and there is limited evidence of the beneficial impact of residential greenness on metabolic dysfunction during pregnancy. We used data from mothers in the Spanish INfancia y Medio Ambiente (INMA) Project from 2003-2008. We obtained spatiotemporally resolved estimates of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) exposures in early pregnancy and estimated residential greenness using satellite-based Normal Difference Vegetation Index (NDVI) within 100, 300 and 500 m buffers surrounding the mother's residence. We applied logistic regression models to evaluate associations between each of the three exposures of interest and (a) glucose intolerance and (b) abnormal lipid levels. We found limited evidence of associations between increases in PM2.5 and NO2 exposures and the metabolic outcomes. Though not statistically significant, high PM2.5 exposure (>= 25 mu g/m(3)) was associated with increased odds of glucose intolerance (OR = 1.16, 95% CI: 0.82, 1.63) and high cholesterol (OR = 1.14, 95% CI: 0.90, 1.44). High NO2 exposure (>= 39.8 mu g/m(3)) was inversely associated with odds of high triglycerides (OR = 0.70, 95% CI: 0.45, 1.08). Whereas NDVI was not associated with glucose intolerance, odds of high triglycerides were increased, although the results were highly imprecise. Results were unchanged when the air pollutant variables were included in the regression models. Given the equivocal findings in our study, additional investigations are needed to assess effects of air pollution and residential greenness on metabolic dysfunction during pregnancy.

Filiaciones:
Rammah A:
 Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX 77030, USA

Whitworth KW:
 Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX 77030, USA

 Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA

Amos CI:
 Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA

 Institute of Clinical and Translational Medicine, Baylor College of Medicine, Houston, TX 77030, USA

:
 Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain

 Department of Nursing, University of Valencia, 46010 Valencia, Spain

 Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Universitat Jaume I-Universitat de València, 46010 Valencia, Spain

Guxens M:
 Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain

 ISGlobal, 08003 Barcelona, Spain

 Department of Experimental and Health Sciences, Pompeu Fabra University, 08003 Barcelona, Spain

 Department of Child and Adolescent Psychiatry, Erasmus University Medical Center (Erasmus MC), 3015 Rotterdam, The Netherlands

Ibarluzea J:
 Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain

 Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, 20014 San Sebastian, Spain

 Faculty of Psychology, University of the Basque Country UPV/EHU, 20018 San Sebastian, Spain

 Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastián, Spain

:
 Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain

 Department of Statistics and Operational Research, University of Valencia, 46010 Valencia, Spain

Subiza-Pérez M:
 Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain

 Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, 20014 San Sebastian, Spain

 Department of Clinical and Health Psychology and Research Methods, University of the Basque Country UPV/EHU, 20018 San Sebastián, Spain

Vrijheid M:
 Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain

 ISGlobal, 08003 Barcelona, Spain

 Department of Experimental and Health Sciences, Pompeu Fabra University, 08003 Barcelona, Spain

Symanski E:
 Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX 77030, USA

 Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA
ISSN: 16617827





INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
Editorial
MDPI AG, POSTFACH, CH-4005 BASEL, SWITZERLAND, Suiza
Tipo de documento: Article
Volumen: 18 Número: 17
Páginas:
WOS Id: 000694131400001
ID de PubMed: 34501944
imagen Green Published, gold

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