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Statistical methods to evaluate health effects associated with major sources of air pollution: a case‐study of breathing patterns during exposure to concentrated Boston air particles

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  • Margaret C. Nikolov
  • Brent A. Coull
  • Paul J. Catalano
  • Edgar Diaz
  • John J. Godleski

Abstract

Summary. We conduct a case‐study evaluating the source‐specific effects of particulate matter on respiratory function. Using a structural equation approach, we assess the effect of different receptor models on the estimated source‐specific effects for univariate respiratory response. Furthermore, we extend the structural equation model by placing a factor analysis model on the response to represent the measured respiratory responses in terms of underlying respiratory patterns. We estimate the particulate matter source‐specific effects on respiratory rate, accentuated normal breathing and airway irritation and find a strong increase in airway irritation that is associated with exposure to motor vehicle particulate matter.

Suggested Citation

  • Margaret C. Nikolov & Brent A. Coull & Paul J. Catalano & Edgar Diaz & John J. Godleski, 2008. "Statistical methods to evaluate health effects associated with major sources of air pollution: a case‐study of breathing patterns during exposure to concentrated Boston air particles," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(3), pages 357-378, June.
    • Handle: RePEc:bla:jorssc:v:57:y:2008:i:3:p:357-378
    DOI: 10.1111/j.1467-9876.2008.00618.x
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    Cited by:

    1. Zhenzhen Zhang & Thomas M. Braun & Karen E. Peterson & Howard Hu & Martha M. Téllez-Rojo & Brisa N. Sánchez, 2018. "Extending Tests of Random Effects to Assess for Measurement Invariance in Factor Models," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(3), pages 634-650, December.

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