Air pollution, residential greenness and metabolic dysfunction during early pregnancy in the INfancia y Medio Ambiente (INMA) Cohort

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 fro...

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Autores: Rammah, Amal, Whitworth, Kristina W., Amos, Christopher I., Estarlich, Marisa, Guxens Junyent, Mònica, Ibarluzea, Jesús, Iñiguez, Carmen, Subiza-Pérez, Mikel, Vrijheid, Martine, Symanski, Elaine
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/53186
Acceso en línea:http://hdl.handle.net/10230/53186
http://dx.doi.org/10.3390/ijerph18179354
Access Level:acceso abierto
Palabra clave:GDM
NO2
PM2.5
Gestational diabetes
Lipids
Residential greenness
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spelling Air pollution, residential greenness and metabolic dysfunction during early pregnancy in the INfancia y Medio Ambiente (INMA) Cohort Rammah, Amal Whitworth, Kristina W. Amos, Christopher I. Estarlich, Marisa Guxens Junyent, Mònica Ibarluzea, Jesús Iñiguez, Carmen Subiza-Pérez, Mikel Vrijheid, Martine Symanski, Elaine GDM NO2 PM2.5 Gestational diabetes Lipids Residential greenness 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 µg/m3) 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 µg/m3) 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. This work is supported by a National Institute of Environmental Health Sciences (NIEHS) fellowship from the Training in Precision Environmental Health Sciences (TPEHS) Program (NIH Grant No. T32ES027801). E.S., K.W.W., and C.I.A. were partially supported by a NIEHS P30 Environmental Health Sciences Core Center grant (P30ES030285). The INMA study was funded by grants from Instituto de Salud Carlos III (Red INMA G03/176, CB06/02/0041; FIS-FEDER: PI03/1615, PI04/1509, PI04/1112, PI04/1931, PI05/1079, PI05/1052, PI06/0867, PI06/1213, PI07/0314, PI09/02647, PI11/01007, PI11/02591, PI11/02038, PI13/1944, PI13/2032, PI14/00891, PI14/01687, PI16/1288, PI17/00663, FIS-PI18/01142 incl. FEDER funds; Miguel Servet-FEDER CP11/00178, CP15/00025, and CPII16/00051, CPII18/00018), Generalitat de Catalunya-CIRIT 1999SGR 00241, EU Commission (FP7-ENV-2011 cod 282957 and HEALTH.2010.2.4.5-1), Generalitat Valenciana: FISABIO (UGP 15-230, UGP-15-244, and UGP-15-249), and Alicia Koplowitz Foundation 2017, Department of Health of the Basque Government (2005111093), Provincial Government of Gipuzkoa (DFG06/002), and annual agreements with the municipalities of the study area (Zumarraga, Urretxu, Legazpi, Azkoitia y Azpeitia y Beasain). We also acknowledge support from the Spanish Ministry of Science and Innovation and the State Research Agency through the “Centro de Excelencia Severo Ochoa 2019-2023” Program (CEX2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Program. MDPI http://hdl.handle.net/10230/53186 http://dx.doi.org/10.3390/ijerph18179354
title Air pollution, residential greenness and metabolic dysfunction during early pregnancy in the INfancia y Medio Ambiente (INMA) Cohort
spellingShingle Air pollution, residential greenness and metabolic dysfunction during early pregnancy in the INfancia y Medio Ambiente (INMA) Cohort
Rammah, Amal
GDM
NO2
PM2.5
Gestational diabetes
Lipids
Residential greenness
title_short Air pollution, residential greenness and metabolic dysfunction during early pregnancy in the INfancia y Medio Ambiente (INMA) Cohort
title_full Air pollution, residential greenness and metabolic dysfunction during early pregnancy in the INfancia y Medio Ambiente (INMA) Cohort
title_fullStr Air pollution, residential greenness and metabolic dysfunction during early pregnancy in the INfancia y Medio Ambiente (INMA) Cohort
title_full_unstemmed Air pollution, residential greenness and metabolic dysfunction during early pregnancy in the INfancia y Medio Ambiente (INMA) Cohort
title_sort Air pollution, residential greenness and metabolic dysfunction during early pregnancy in the INfancia y Medio Ambiente (INMA) Cohort
author Rammah, Amal
author_facet Rammah, Amal
Whitworth, Kristina W.
Amos, Christopher I.
Estarlich, Marisa
Guxens Junyent, Mònica
Ibarluzea, Jesús
Iñiguez, Carmen
Subiza-Pérez, Mikel
Vrijheid, Martine
Symanski, Elaine
author_role author
author2 Whitworth, Kristina W.
Amos, Christopher I.
Estarlich, Marisa
Guxens Junyent, Mònica
Ibarluzea, Jesús
Iñiguez, Carmen
Subiza-Pérez, Mikel
Vrijheid, Martine
Symanski, Elaine
author2_role author
author
author
author
author
author
author
author
author
topic GDM
NO2
PM2.5
Gestational diabetes
Lipids
Residential greenness
topic_facet GDM
NO2
PM2.5
Gestational diabetes
Lipids
Residential greenness
description 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 µg/m3) 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 µg/m3) 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.
publishDate 2021
format article
status_str publishedVersion
url http://hdl.handle.net/10230/53186
http://dx.doi.org/10.3390/ijerph18179354
eu_rights_str_mv openAccess
publisher MDPI
institution Universitat Pompeu Fabra
collection Repositorio Digital de la UPF
reponame_str Repositorio Digital de la UPF
instname_str Universitat Pompeu Fabra
_version_ 1878441274764165120
publishDateSort 2021
author_browse Amos, Christopher I.
Estarlich, Marisa
Guxens Junyent, Mònica
Ibarluzea, Jesús
Iñiguez, Carmen
Rammah, Amal
Subiza-Pérez, Mikel
Symanski, Elaine
Vrijheid, Martine
Whitworth, Kristina W.
publisherStr MDPI
score 6,924472

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