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Predictors of Indoor Air Concentrations in Smoking and Non-Smoking Residences

Author

Listed:
  • Marie-Eve Héroux

    (Health Canada, 269 Laurier Avenue West, Ottawa, Ontario K1A 0K9, Canada)

  • Nina Clark

    (Health Canada, 269 Laurier Avenue West, Ottawa, Ontario K1A 0K9, Canada)

  • Keith Van Ryswyk

    (Health Canada, 269 Laurier Avenue West, Ottawa, Ontario K1A 0K9, Canada)

  • Ranjeeta Mallick

    (Health Canada, 269 Laurier Avenue West, Ottawa, Ontario K1A 0K9, Canada)

  • Nicolas L. Gilbert

    (Health Canada, 269 Laurier Avenue West, Ottawa, Ontario K1A 0K9, Canada)

  • Ian Harrison

    (Regina Qu’Appelle Health Region, 2110 Hamilton Street, Regina, Saskatchewan S4P 2E3, Canada)

  • Kathleen Rispler

    (Regina Qu’Appelle Health Region, 2110 Hamilton Street, Regina, Saskatchewan S4P 2E3, Canada)

  • Daniel Wang

    (Environment Canada, 335 River Road, Ottawa, Ontario K1A 0H3, Canada)

  • Angelos Anastassopoulos

    (Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada)

  • Mireille Guay

    (Health Canada, 269 Laurier Avenue West, Ottawa, Ontario K1A 0K9, Canada)

  • Morgan MacNeill

    (Health Canada, 269 Laurier Avenue West, Ottawa, Ontario K1A 0K9, Canada)

  • Amanda J. Wheeler

    (Health Canada, 269 Laurier Avenue West, Ottawa, Ontario K1A 0K9, Canada)

Abstract

Indoor concentrations of air pollutants (benzene, toluene, formaldehyde, acetaldehyde, acrolein, nitrogen dioxide, particulate matter, elemental carbon and ozone) were measured in residences in Regina, Saskatchewan, Canada. Data were collected in 106 homes in winter and 111 homes in summer of 2007, with 71 homes participating in both seasons. In addition, data for relative humidity, temperature, air exchange rates, housing characteristics and occupants’ activities during sampling were collected. Multiple linear regression analysis was used to construct season-specific models for the air pollutants. Where smoking was a major contributor to indoor concentrations, separate models were constructed for all homes and for those homes with no cigarette smoke exposure. The housing characteristics and occupants’ activities investigated in this study explained between 11% and 53% of the variability in indoor air pollutant concentrations, with ventilation, age of home and attached garage being important predictors for many pollutants.

Suggested Citation

  • Marie-Eve Héroux & Nina Clark & Keith Van Ryswyk & Ranjeeta Mallick & Nicolas L. Gilbert & Ian Harrison & Kathleen Rispler & Daniel Wang & Angelos Anastassopoulos & Mireille Guay & Morgan MacNeill & A, 2010. "Predictors of Indoor Air Concentrations in Smoking and Non-Smoking Residences," IJERPH, MDPI, vol. 7(8), pages 1-20, August.
    • Handle: RePEc:gam:jijerp:v:7:y:2010:i:8:p:3080-3099:d:9181
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    Citations

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    Cited by:

    1. Sotiris Vardoulakis & Evanthia Giagloglou & Susanne Steinle & Alice Davis & Anne Sleeuwenhoek & Karen S. Galea & Ken Dixon & Joanne O. Crawford, 2020. "Indoor Exposure to Selected Air Pollutants in the Home Environment: A Systematic Review," IJERPH, MDPI, vol. 17(23), pages 1-24, December.
    2. Samuel Domínguez-Amarillo & Jesica Fernández-Agüera & Sonia Cesteros-García & Roberto Alonso González-Lezcano, 2020. "Bad Air Can Also Kill: Residential Indoor Air Quality and Pollutant Exposure Risk during the COVID-19 Crisis," IJERPH, MDPI, vol. 17(19), pages 1-33, September.

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