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Proximity to mining industry and respiratory diseases in children in a community in Northern Chile: A cross-sectional study

  • Ronald Herrera
  • , Katja Radon
  • , Ondine S. Von Ehrenstein
  • , Stella Cifuentes
  • , Daniel Moraga Muñoz
  • , Ursula Berger
  • Ludwig Maximilian University of Munich
  • University of California at Los Angeles
  • Universidad Diego Portales

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Background: In a community in northern Chile, explosive procedures are used by two local industrial mines (gold, copper). We hypothesized that the prevalence of asthma and rhinoconjunctivitis in the community may be associated with air pollution emissions generated by the mines. Methods: A cross-sectional study of 288 children (aged 6-15 years) was conducted in a community in northern Chile using a validated questionnaire in 2009. The proximity between each child's place of residence and the mines was assessed as indicator of exposure to mining related air pollutants. Logistic regression, semiparametric models and spatial Bayesian models with a parametric form for distance were used to calculate odds ratios and 95 % confidence intervals. Results: The prevalence of asthma and rhinoconjunctivitis was 24 and 34 %, respectively. For rhinoconjunctivitis, the odds ratio for average distance between both mines and child's residence was 1.72 (95 % confidence interval 1.00, 3.04). The spatial Bayesian models suggested a considerable increase in the risk for respiratory diseases closer to the mines, and only beyond a minimum distance of more than 1800 m the health impact was considered to be negligible. Conclusion: The findings indicate that air pollution emissions related to industrial gold or copper mines mainly occurring in rural Chilean communities might increase the risk of respiratory diseases in children.

Original languageEnglish
Article number66
JournalEnvironmental Health: A Global Access Science Source
Volume15
Issue number1
DOIs
StatePublished - 7 Jun 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Air pollution
  • Asthma
  • Bayesian analysis
  • Children
  • Mining

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