A scripted activity study of the impact of protective advice on personal exposure to ultra-fine and fine particulate matter and volatile organic compounds

We evaluated the impact on personal exposure to air pollutants of following advice which typically accompanies air quality advisories and indices. Scripts prescribed the time, location, duration and nature of activities intended to simulate daily activity patterns for adults and children. Scripts were paired such that one individual would proceed with usual activities (base scenario), whereas the other (intervention scenario) would alter activities as if following advice. Other than commuting, where the intervention group walked or used public transportation rather than riding in personal vehicles, this group generally spent less time outdoors. Ultra-fine particles (UFPs), particulate matter of median aerodynamic diameter less than 2.5 μm (PM2.5) and total volatile organic compounds (VOCs) were measured using samplers carried by individuals during the course of daily activities. During daytime activities (e.g., work, daycare) constituting the largest share of sampling time (approximately 6 h per day), the intervention group experienced a 14% reduction in exposure to UFPs (P=0.01), a 21% reduction in exposure to PM2.5 (P=0.08), and an 86% increase in exposure to VOCs (P=0.02). Other findings included an 89% increase in exposure to UFPs (P=0.02) and a threefold increase in exposure to VOCs (P=0.08) in the intervention group during evening cooking. Following smog advisory advice results in reduced exposures to some pollutants, while at the same time increasing exposure to others. Advice needs to be refined giving consideration to overall personal exposure.

[1]  Arthur M Winer,et al.  Relationships of Indoor, Outdoor, and Personal Air (RIOPA). Part I. Collection methods and descriptive analyses. , 2005, Research report.

[2]  J. Levy,et al.  Particulate matter and polycyclic aromatic hydrocarbon concentrations in indoor and outdoor microenvironments in Boston, Massachusetts , 2002, Journal of Exposure Analysis and Environmental Epidemiology.

[3]  L. Wallace,et al.  Use of personal-indoor-outdoor sulfur concentrations to estimate the infiltration factor and outdoor exposure factor for individual homes and persons. , 2005, Environmental science & technology.

[4]  J D Spengler,et al.  Estimating the mortality impacts of particulate matter: what can be learned from between-study variability? , 1999, Environmental health perspectives.

[5]  Jonathan I. Levy,et al.  Ozone Exposure and Mortality: An Empiric Bayes Metaregression Analysis , 2005, Epidemiology.

[6]  P. Catalano,et al.  Hourly Personal Exposures to Fine Particles and Gaseous Pollutants—Results from Baltimore, Maryland , 2000, Journal of the Air & Waste Management Association.

[7]  S. Gingrich,et al.  Should People Be Physically Active Outdoors on Smog Alert Days? , 2005, Canadian journal of public health = Revue canadienne de sante publique.

[8]  R. Burnett,et al.  It's about time: A comparison of Canadian and American time–activity patterns† , 2002, Journal of Exposure Analysis and Environmental Epidemiology.

[9]  Yifang Zhu,et al.  Comparison of daytime and nighttime concentration profiles and size distributions of ultrafine particles near a major highway. , 2006, Environmental science & technology.

[10]  P. Switzer Estimating separately personal exposure to ambient and nonambient particulate matter for epidemiology and risk assessment: why and how. , 2001, Journal of the Air & Waste Management Association.

[11]  P. Koutrakis,et al.  Assessment of Ozone Exposures in the Greater Metropolitan Toronto Area. , 1995, Journal of the Air & Waste Management Association.

[12]  Michael Brauer,et al.  Exposure to Ambient and Nonambient Components of Particulate Matter: A Comparison of Health Effects , 2005, Epidemiology.

[13]  Gurumurthy Ramachandran,et al.  Outdoor, Indoor, and Personal Exposure to VOCs in Children , 2004, Environmental health perspectives.

[14]  R C Littell,et al.  Statistical analysis of repeated measures data using SAS procedures. , 1998, Journal of animal science.

[15]  Antonella Zanobetti,et al.  Air conditioning and source-specific particles as modifiers of the effect of PM(10) on hospital admissions for heart and lung disease. , 2001, Environmental health perspectives.

[16]  O Seppänen,et al.  Reduction potential of urban PM2.5 mortality risk using modern ventilation systems in buildings. , 2005, Indoor air.