Skip to main content
Canadian Journal of Public Health = Revue Canadienne de Santé Publique logoLink to Canadian Journal of Public Health = Revue Canadienne de Santé Publique
. 2017 Sep 1;108(5-6):e503–e509. doi: 10.17269/CJPH.108.6166

Socio-economic inequalities in exposure to industrial air pollution emissions in Quebec public schools

Emmanuelle Batisse 18,, Sophie Goudreau 28, Jill Baumgartner 38,48, Audrey Smargiassi 18,58
PMCID: PMC6972189  PMID: 29356656

Abstract

OBJECTIVES: We aimed to assess the relationships between deprivation at Quebec public schools, their proximity to polluting industries, and their exposure to industrial air emission sources including ambient fine particulate matter (PM2.5), sulphur dioxide (SO2) and nitrogen dioxide (NO2).

METHODS: We obtained four indicators of school deprivation using data from the 2006 Canadian census called the low-income threshold indicator, the neighbourhood SES indicator, and the social and material deprivation indicators of Pampalon. Using proximity spatial tools, we constructed three buffers of 2.5, 5 and 7.5 km around each school and summed up total emissions of PM2.5, SO2 and NO2 for each school. Industrial air emissions were estimated using data from the 2006 Canadian National Pollutant Release Inventory. The Pearson correlations and LOESS regressions and natural log-transformed industrial air emissions were evaluated for Quebec public schools within the three buffers.

RESULTS: Of the 2189 public schools in Quebec, 608 (27.8%), 1108 (50.6%) and 1384 (63.2%) schools were located near at least one industry emitting one or more pollutants of interest in buffers of 2.5 km, 5 km and 7.5 km of schools respectively. Weak positive Pearson correlations (r) were found between log-transformed tons of industrial emissions of PM2.5, SO2 and NO2 and both the social deprivation (r = {0.23; 0.33}) and low-income threshold (r = {0.17; 0.29}) indicators in a buffer of 2.5 km. However, we found negative associations between emissions and the neighbourhood SES (r = {0.06; 0.16}) and material deprivation (r = {−0.04; 0.08}) indicators.

CONCLUSION: Our study suggests that schools in Quebec with higher rates of socio-economic deprivation among their students may be more likely to be exposed to higher emissions of industrial air pollutants.

Key words: Air pollution, child, industry, school, social class

Footnotes

Conflict of Interest: None to declare.

References

  • 1.U.S. EPA. 2008 Final Report: Integrated Science Assessment (ISA) for Sulfur Oxides -Health Criteria. Washington, DC: U.S. Environmental Protection Agency; 2008. [Google Scholar]
  • 2.U.S. EPA. 2009 Final Report: Integrated Science Assessment for Particulate Matter. Washington, DC: U.S. Environmental Protection Agency; 2009. [PubMed] [Google Scholar]
  • 3.U.S. EPA. Integrated Science Assessment for Oxides of Nitrogen - Health Criteria (2016 Final Report). Washington, DC: U.S. Environmental Protection Agency; 2016. [Google Scholar]
  • 4.Bateson TF, Schwartz J. Children’s response to air pollutants. J Toxicol Environ Health. 2008;71(3):238–43. doi: 10.1080/15287390701598234. [DOI] [PubMed] [Google Scholar]
  • 5.Clark-Reyna SE, Grineski SE, Collins TW. Residential exposure to air toxics is linked to lower grade point averages among school children in El Paso, Texas, USA. Popul Environ. 2015;37(3):319–40. doi: 10.1007/s11111-015-0241-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Cesaroni G, Badaloni C, Romano V, Donato E, Perucci CA, Forastiere F. Socioeconomic position and health status of people who live near busy roads: The Rome Longitudinal Study (RoLS) Environ Health. 2010;9:41. doi: 10.1186/1476-069X-9-41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Green RS, Smorodinsky S, Kim JJ, McLaughlin R, Ostro B. Proximity of California public schools to busy roads. Environ Health Perspect. 2004;112(1):61–66. doi: 10.1289/ehp.6566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Perlin SA, Wong D, Sexton K. Residential proximity to industrial sources of air pollution: Interrelationships among race, poverty, and age. J Air Waste Manage Assoc. 2001;51(3):406–21. doi: 10.1080/10473289.2001.10464271. [DOI] [PubMed] [Google Scholar]
  • 9.Chakraborty J, Zandbergen PA. Children at risk: Measuring racial/ethnic disparities in potential exposure to air pollution at school and home. J Epidemiol Community Health. 2007;61(12):1074–79. doi: 10.1136/jech.2006.054130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bell ML, Ebisu K. Environmental inequality in exposures to airborne particulate matter components in the United States. Environ Health Perspect. 2012;120(12):1699–704. doi: 10.1289/ehp.1205201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Chaix B, Gustafsson S, Jerrett M, Kristersson H, Lithman T, Boalt, et al. Children’s exposure to nitrogen dioxide in Sweden: Investigating environmental injustice in an egalitarian country. J Epidemiol Community Health. 2006;603:234–41. doi: 10.1136/jech.2005.038190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Carrier M, Apparicio P, Séguin A-M, Crouse D. Ambient air pollution concentration in Montreal and environmental equity: Are children at risk at school? Case Stud Transp Policy. 2014;2:61–69. doi: 10.1016/j.cstp.2014.06.003. [DOI] [Google Scholar]
  • 13.Pinault L, Crouse D, Jerrett M, Brauer M, Tjepkema M. Socioeconomic differences in nitrogen dioxide ambient air pollution exposure among children in the three largest Canadian cities. Health Rep. 2016;27:3–9. [PubMed] [Google Scholar]
  • 14.Gouvernement du Québec. Chapitre I-13.3, r.8 Régime pédagogique de l’éducation préscolaire, de l’enseignement primaire et de l’enseignement secondaire: Loi sur l’instruction publique. 2016. [Google Scholar]
  • 15.Wheeler BW, Ben-Shlomo Y. Environmental equity, air quality, socioeconomic status, and respiratory health: A linkage analysis of routine data from the Health Survey for England. J Epidemiol Community Health. 2005;59(11):948–54. doi: 10.1136/jech.2005.036418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Brand A, McLean KE, Henderson SB, Fournier M, Liu L, Kosatsky T, et al. Respiratory hospital admissions in young children living near metal smelters, pulp mills and oil refineries in two Canadian provinces. Environ Int. 2016;94:24–32. doi: 10.1016/j.envint.2016.05.002. [DOI] [PubMed] [Google Scholar]
  • 17.Ministère de l’Education de l’Enseignement Supérieur et de la Recherche du Québec. Indices de défavorisation. Québec, QC: Gouvernement du Québec; 2017. [Google Scholar]
  • 18.Pampaion R, Gamache P, Hamel D. Indice de défavorisation matérielle et sociale du Québec. Suivi méthodologique de 1991 à 2006. Québec, QC: Institut national de santé publique du Québec (INSPQ); 2010. [Google Scholar]
  • 19.Ministère de l’Education de l’Enseignement Supérieur et de la Recherche du Québec. Indices de défavorisation par école 2013–2014. Québec, QC: Gouvernement du Québec; 2014. [Google Scholar]
  • 20.Ibrahima M, Lavoie S, Riberdy H, Zanfongnon R. Comparaison entre l’indice de défavorisation des écoles CGTSIM et ceux du MELS. Québec, QC: Agence de la santé et des services sociaux de Montréal; 2014. [Google Scholar]
  • 21.Baillargeon G. La carte des unités de peuplement de 2003. Les principales données socio-économiques et démographiques du recensement de 2001 selon les territoires des commissions scolaires. Québec, QC: Ministère de l’Education du Loisir et du Sport, Direction de la recherche des statistiques et des indicateurs; 2005. [Google Scholar]
  • 22.Statistics Canada. Dissemination Area (DA). 2015. [Google Scholar]
  • 23.EnvironmentClimate Change Canada. Air Pollutant Emission Inventory Report 1990–2014. 2016. [Google Scholar]
  • 24.Lewin A, Buteau S, Brand A, Kosatsky T, Smargiassi A. Short-term risk of hospitalization for asthma or bronchiolitis in children living near an aluminum smelter. J Expo Sci Environ Epidemiol. 2013;23:474–80. doi: 10.1038/jes.2013.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Smargiassi A, Kosatsky T, Hicks J, Plante C, Armstrong B, Villeneuve PJ. Risk of asthmatic episodes in children exposed to sulfur dioxide stack emissions from a refinery point source in Montreal, Canada. Environ Health Perspect. 2009;117(4):653–59. doi: 10.1289/ehp.0800010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Gunier RB, Hertz A, von Behren J, Reynolds P. Traffic density in California: Socioeconomic and ethnic differences among potentially exposed children. J Expo Anal Environ Epidemiol. 2003;13(3):240–46. doi: 10.1038/sj.jea.7500276. [DOI] [PubMed] [Google Scholar]
  • 27.Fan X, Lam K-C. Yu Q Differential exposure of the urban population to vehicular air pollution in Hong Kong. Sci Total Environ. 2012;426:211–19. doi: 10.1016/j.scitotenv.2012.03.057. [DOI] [PubMed] [Google Scholar]
  • 28.Stuart AL, Zeager M. An inequality study of ambient nitrogen dioxide and traffic levels near elementary schools in the Tampa area. J Environ Manage. 2011;92(8):1923–30. doi: 10.1016/j.jenvman.2011.03.003. [DOI] [PubMed] [Google Scholar]
  • 29.Chan E, Serrano J, Chen L, Stieb DM, Jerrett M, Osornio-Vargas A. Development of a Canadian socioeconomic status index for the study of health outcomes related to environmental pollution. BMC Public Health. 2015;15:714–22. doi: 10.1186/s12889-015-1992-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Miranda ML, Edwards SE, Keating MH, Paul CJ. Making the environmental justice grade: The relative burden of air pollution exposure in the United States. Int J Environ Res Public Health. 2011;8(6):1755–71. doi: 10.3390/ijerph8061755. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Fecht D, Fischer P, Fortunato L, Hoek G, de Hoogh K, Marra M, et al. Associations between air pollution and socioeconomic characteristics, ethnicity and age profile of neighbourhoods in England and the Netherlands. Environ Pollut. 2015;198:201–210. doi: 10.1016/j.envpol.2014.12.014. [DOI] [PubMed] [Google Scholar]
  • 32.EnvironmentClimate Change Canada. Summary of National Pollutant Release Inventory Reporting requirements. 2016. [Google Scholar]
  • 33.Zhou Y, Levy JI. Factors influencing the spatial extent of mobile source air pollution impacts: A meta-analysis. BMC Public Health. 2007;7:89. doi: 10.1186/1471-2458-7-89. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Canadian Journal of Public Health = Revue Canadienne de Santé Publique are provided here courtesy of Springer

RESOURCES