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Association between long-term exposure to air pollution and specific causes of mortality in Scotland

  • Christina Yap
  • , Iain J. Beverland
  • , Mathew R. Heal
  • , Geoffrey R. Cohen
  • , Chris Robertson
  • , Deborah E J Henderson
  • , Neil S. Ferguson
  • , Carole L. Hart
  • , George Morris
  • , Raymond M. Agius

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Objective: This study investigated the association between long-term exposure to black smoke (BS) air pollution and mortality in two related Scottish cohorts with 25 years of follow-up. Methods: Risk factors were collected during 1970-1976 for 15331 and 6680 participants in the Renfrew/Paisley and Collaborative cohorts respectively. Exposure to BS during 1970-1979 was estimated by inverse-distance weighted averages of observed concentrations at monitoring sites and by two alternative spatial modelling approaches which included local air quality predictors (LAQP). Results: Consistent BS-mortality associations (per 10 μg m-3 increment in 10-year average BS) were observed in the Renfrew/Paisley cohort using LAQP-based exposure models (all-cause mortality HR 1.10 (95% CI 1.04 to 1.17); cardiovascular HR 1.11 (1.01 to 1.22); ischaemic heart disease HR 1.13 (1.02 to 1.25); respiratory HR 1.26 (1.02 to 1.28)). The associations were largely unaffected by additional adjustment for area-level deprivation category. A less consistent and generally implausible pattern of cause-specific BS-mortality associations was found for inverse-distance averaging of BS concentrations at nearby monitoring sites. BS-mortality associations in the Collaborative cohort were weaker and not statistically significant. Conclusions: The association between mortality and long-term exposure to BS observed in the Renfrew/Paisley cohort is consistent with hypotheses of how air pollution may affect human health. The dissimilarity in pollution-mortality associations for different exposure models highlights the critical importance of reliable estimation of exposures on intraurban spatial scales to avoid potential misclassification bias.
    Original languageEnglish
    Pages (from-to)916-924
    Number of pages8
    JournalOccupational and Environmental Medicine
    Volume69
    Issue number12
    DOIs
    Publication statusPublished - Dec 2012

    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
    2. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

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