{"id":3438,"date":"2019-03-11T13:47:11","date_gmt":"2019-03-11T13:47:11","guid":{"rendered":"https:\/\/canue.ca\/?p=3438"},"modified":"2019-03-11T13:47:11","modified_gmt":"2019-03-11T13:47:11","slug":"march-11-2019","status":"publish","type":"post","link":"https:\/\/canue.ca\/fr\/march-11-2019\/","title":{"rendered":"March 11 | 2019"},"content":{"rendered":"

Geospatial analyses of adverse birth outcomes in Southwestern Ontario: Examining the impact of environmental factors.<\/strong><\/h3>\n

Jamie A. Seabrook, Alexandra Smith, Andrew F. Clark, Jason A. Gilliland<\/strong><\/p>\n

Environmental Research Volume 172, May 2019, Pages 18-26 https:\/\/doi.org\/10.1016\/j.envres.2018.12.068<\/a><\/p>\n

 <\/p>\n

Abstract<\/strong><\/p>\n

Background<\/strong><\/p>\n

A growing body of research has examined the association between exposure to environmental factors during pregnancy and adverse birth outcomes; however, many studies do not control for potential covariates and findings vary considerably.<\/p>\n

Objective<\/strong><\/p>\n

To test the relative influence of environmental factors including exposure to air pollution, major roads, highways, industry, parks,\u00a0greenspaces<\/a>, and food retailers on low birth weight (LBW) and preterm birth (PTB) in Southwestern Ontario (SWO), Canada, while accounting for medical (e.g., previous preterm birth, gestational diabetes), behavioral (e.g., alcohol, smoking), demographic (e.g., maternal age, body mass index), and neighborhood-level socioeconomic (e.g.,\u00a0household income<\/a>, education) factors.<\/p>\n

Methods<\/strong><\/p>\n

This retrospective cohort study consisted of a large sample of pregnant women from SWO who gave birth to singleton newborns between February 2009 and February 2014 at London Health Sciences Centre. Data on maternal postal codes were entered into a\u00a0Geographic Information System<\/a>\u00a0to map the distribution of maternal residences and determine selected characteristics of their neighborhood environments (i.e., socioeconomic, built, natural). These variables were developed based on postal codes where the mothers lived prior to giving birth. Logistic regression was used to assess the relative effects of the physical environment,\u00a0socioeconomic status<\/a>, clinical history, and behavioral risk factors on mothers having a LBW or PTB infant.<\/p>\n

Results<\/strong><\/p>\n

Out of 25,263 live births, 5.7% were LBW and 7.5% were PTB. Exposure to\u00a0sulfur dioxide<\/a>\u00a0was a top predictor of both LBW and PTB. For every one-unit increase in sulfur dioxide, the odds of a LBW and PTB were 3.4 (95% CI: 2.2, 5.2) and 2.0 (95% CI: 1.4, 3.0) times higher, after controlling for other variables in the model, respectively (p\u202f<\u202f0.001). Previous PTB was also highly associated with both birth outcomes.<\/p>\n

Conclusions<\/strong><\/p>\n

Health care providers should be informed about the hazards of air pollution to developing\u00a0fetuses<\/a>\u00a0so that recommendations can be made to their pregnant patients about limiting exposure when air quality is poor.<\/p>\n","protected":false},"excerpt":{"rendered":"

Geospatial analyses of adverse birth outcomes in Southwestern Ontario: Examining the impact of environmental factors.<\/p>\n

Jamie A. Seabrook, Alexandra Smith, Andrew F. Clark, Jason A. Gilliland<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-3438","post","type-post","status-publish","format-standard","hentry","category-article-de-la-semaine"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t