{"id":13223,"date":"2023-03-15T00:00:00","date_gmt":"2023-03-15T04:00:00","guid":{"rendered":"https:\/\/icesontario.wpengine.com\/publications\/journal-articles\/critical-windows-of-exposure-to-air-pollution-and-gestational-diabetes-assessing-effect-modification-by-maternal-pre-existing-conditions-and-environmental-factors\/"},"modified":"2023-07-21T14:06:21","modified_gmt":"2023-07-21T18:06:21","slug":"critical-windows-of-exposure-to-air-pollution-and-gestational-diabetes","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/critical-windows-of-exposure-to-air-pollution-and-gestational-diabetes\/","title":{"rendered":"Critical windows of exposure to air pollution and gestational diabetes: assessing effect modification by maternal pre-existing conditions and environmental factors"},"content":{"rendered":"<p><strong>Background<\/strong> \u2014 Ambient air pollution has been associated with gestational diabetes (GD), but critical windows of exposure and whether maternal pre-existing conditions and other environmental factors modify the associations remains inconclusive.<\/p>\n<p><strong>Methods<\/strong> \u2014 We conducted a retrospective cohort study of all singleton live birth that occurred between April 1<sup>st<\/sup> 2006 and March 31<sup>st<\/sup> 2018 in Ontario, Canada. Ambient air pollution data (i.e., fine particulate matter with a diameter \u2264 2.5 \u03bcm (PM<sub>2.5<\/sub>), nitrogen dioxide (NO<sub>2<\/sub>) and ozone (O<sub>3<\/sub>)) were assigned to the study population in spatial resolution of approximately 1 km \u00d7 1 km. The Normalized Difference Vegetation Index (NDVI) and the Green View Index (GVI) were also used to characterize residential exposure to green space as well as the Active Living Environments (ALE) index to represent the active living friendliness. Multivariable Cox proportional hazards regression models were used to evaluate the associations.<\/p>\n<p><strong>Results<\/strong> \u2014 Among 1,310,807 pregnant individuals, 68,860 incident cases of GD were identified. We found the strongest associations between PM<sub>2.5<\/sub> and GD in gestational weeks 7 to 18 (HR = 1.07 per IQR (2.7 \u00b5g\/m3); 95% CI: 1.02 \u2013 1.11)). For O<sub>3<\/sub>, we found two sensitive windows of exposure, with increased risk in the preconception period (HR = 1.03 per IQR increase (7.0 ppb) (95% CI: 1.01 \u2013 1.06)) as well as gestational weeks 9 to 28 (HR 1.08 per IQR (95% CI: 1.04 \u20131.12)). We found that women with asthma were more at risk of GD when exposed to increasing levels of O<sub>3<\/sub> (<em>p<\/em>&#8211; value for effect modification = 0.04). Exposure to air pollutants explained 20.1%, 1.4% and 4.6% of the associations between GVI, NDVI and ALE, respectively.<\/p>\n<p><strong>Conclusion<\/strong> \u2014 An increase of PM<sub>2.5<\/sub> exposure in early pregnancy and of O<sub>3<\/sub> exposure during late first trimester and over the second trimester of pregnancy were associated with gestational diabetes whereas exposure to green space may confer a protective effect.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Background \u2014 Ambient air pollution has been associated with gestational diabetes (GD), but critical windows of exposure and whether maternal pre-existing conditions and other environmental factors modify the associations remains inconclusive. Methods \u2014 We conducted a retrospective cohort study of all singleton live birth that occurred between April 1st 2006 and March 31st 2018 in [&hellip;]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[50,53,26],"migration-helper-qa-sample-set":[],"class_list":["post-13223","journal_article","type-journal_article","status-publish","hentry","topic-endocrinology","topic-environmental-health","topic-maternity-and-neonatal-care"],"acf":{"citation":"Miron-Celis M, Talarico R, Villeneuve PJ, Crighton E, Stieb DM, Stanescu C, Lavigne E. <em>Environ Health<\/em>. 2023; 22(1):26. Epub 2023 Mar 15.","source_url":"https:\/\/ehjournal.biomedcentral.com\/articles\/10.1186\/s12940-023-00974-z","ices_scientist":[1198,1117,16884],"site":[6734],"research_program":[6745],"news_release":"","journal_article":"","atlas":"","research_report":"","infographic":"","video":"","downloads":null,"links":null,"sitecore_item_id":"49D99F1A-9936-42F0-8A07-B9AFBD53D321","sitecore_item_name":"Critical-windows-of-exposure-to-air-pollution-and-gestational-diabetes","sitecore_field_values":"{\r\n  \"Title\": \"Critical windows of exposure to air pollution and gestational diabetes: assessing effect modification by maternal pre-existing conditions and environmental factors\",\r\n  \"Short title\": \"Critical windows of exposure to\",\r\n  \"Summary\": \"This study aimed to identify windows of exposure and whether maternal pre-existing conditions and other environmental factors modify the associations of gestational diabetes and air pollution.\",\r\n  \"Citation\": \"<p>Miron-Celis M, Talarico R, Villeneuve PJ, Crighton E, Stieb DM, Stanescu C, Lavigne E. <em>Environ Health<\/em>. 2023; 22(1):26. Epub 2023 Mar 15. DOI: <a href=\"https:\/\/doi.org\/10.1186\/s12940-023-00974-z\" title=\"opens external link\">https:\/\/doi.org\/10.1186\/s12940-023-00974-z<\/a><\/p>\",\r\n  \"Abstract\": \"<p><strong>Background<\/strong> &mdash; Ambient air pollution has been associated with gestational diabetes (GD), but critical windows of exposure and whether maternal pre-existing conditions and other environmental factors modify the associations remains inconclusive.<\/p>n<p><strong>Methods<\/strong> &mdash; We conducted a retrospective cohort study of all singleton live birth that occurred between April 1<sup>st<\/sup> 2006 and March 31<sup>st<\/sup> 2018 in Ontario, Canada. Ambient air pollution data (i.e., fine particulate matter with a diameter &le; 2.5 &mu;m (PM<sub>2.5<\/sub>), nitrogen dioxide (NO<sub>2<\/sub>) and ozone (O<sub>3<\/sub>)) were assigned to the study population in spatial resolution of approximately 1 km &times; 1 km. The Normalized Difference Vegetation Index (NDVI) and the Green View Index (GVI) were also used to characterize residential exposure to green space as well as the Active Living Environments (ALE) index to represent the active living friendliness. Multivariable Cox proportional hazards regression models were used to evaluate the associations.<\/p>n<p><strong>Results<\/strong> &mdash; Among 1,310,807 pregnant individuals, 68,860 incident cases of GD were identified. We found the strongest associations between PM<sub>2.5<\/sub> and GD in gestational weeks 7 to 18 (HR = 1.07 per IQR (2.7 &micro;g\/m3); 95% CI: 1.02 &ndash; 1.11)). For O<sub>3<\/sub>, we found two sensitive windows of exposure, with increased risk in the preconception period (HR = 1.03 per IQR increase (7.0 ppb) (95% CI: 1.01 &ndash; 1.06)) as well as gestational weeks 9 to 28 (HR 1.08 per IQR (95% CI: 1.04 &ndash;1.12)). We found that women with asthma were more at risk of GD when exposed to increasing levels of O<sub>3<\/sub> (<em>p<\/em>- value for effect modification = 0.04). Exposure to air pollutants explained 20.1%, 1.4% and 4.6% of the associations between GVI, NDVI and ALE, respectively.<\/p>n<p><strong>Conclusion<\/strong> &mdash; An increase of PM<sub>2.5<\/sub> exposure in early pregnancy and of O<sub>3<\/sub> exposure during late first trimester and over the second trimester of pregnancy were associated with gestational diabetes whereas exposure to green space may confer a protective effect.<\/p>n<p><a href=\"https:\/\/ehjournal.biomedcentral.com\/articles\/10.1186\/s12940-023-00974-z\" title=\"opens external link\">View full text<\/a><\/p>\",\r\n  \"ICES Scientists\": \"{6E2DDA86-FA38-4281-A705-EE7829888BD1}|{2658C61A-A9FC-41AE-8F78-F02A924C821F}\",\r\n  \"Posted Date\": \"20230315T000000\",\r\n  \"Show on Publications Landing Page\": \"1\"\r\n}","previous_url":"https:\/\/www.ices.on.ca\/Publications\/Journal-Articles\/2023\/March\/Critical-windows-of-exposure-to-air-pollution-and-gestational-diabetes"},"yoast_head":"<!-- This site is optimized 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