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An analysis of factors that influence personal exposure to nitrogen oxides in residents of Richmond, Virginia

Abstract

Nitrogen oxides (NOx) are ubiquitous pollutants in outdoor and indoor air. However, epidemiologic studies that evaluate health effects associated with NOx commonly rely upon outdoor concentrations of NOx, nitrogen dioxide (NO2), or residence characteristics as surrogates for personal exposure. In this study, personal exposures (48 h) and corresponding indoor and outdoor concentrations of nitric oxide (NO), NO2, and NOx were measured (July–September) in 39 adults and 9 children from 23 households in Richmond, Virginia, using Ogawa passive NOx monitors. Demographic, time–activity patterns, and household data were collected by questionnaire and used to develop exposure prediction models. Adults had higher NO2, NO, and NOx exposures (means: 16, 63, and 79 ppb, respectively) than children (13, 49, and 62 ppb). Measurements taken in bedrooms (18, 57, and 75 ppb) and living rooms (19, 65, and 84 ppb) surpassed measurements taken outdoors (15, 21, and 36 ppb). In indoor locations, NOx concentrations were influenced largely by NO, and consequently, personal exposure prediction models for NOx were reflective of models for NO. Statistical models that best predicted personal exposures included indoor measurements; outdoor measurements contributed relatively little to personal exposure. Close to 70% of the variation in personal NO2 and NOx exposure was explained by two variable models (bedroom NO2 and time spent in other indoor locations; bedroom NOx and time spent in kitchen). Given appropriate resources, measurement error in epidemiologic studies can be reduced significantly with the use of personal exposure measurements or prediction models developed from indoor measurements and survey data.

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Abbreviations

DEQ:

Department of Environmental Quality

EPA:

Environmental Protection Agency

GPS:

Global Positioning System

MSE:

mean square error

NO:

nitric oxide

NOx:

nitrogen oxides

NO2:

nitrogen dioxide

NOAA:

National Oceanic and Atmospheric Administration

PPB:

parts per billion

VIF:

variance inflation factor

References

  • Alm S Mukala K Personal NO2 exposures of preschool children in Helsinki, J Expos Anal Environ Epidemiol (1998) 8: 79–100

    CAS  Google Scholar 

  • Asgari MM Dubois A Asgari M Gent J Beckett WS Association of ambient air quality with children's lung function in urban and rural Iran, Arch Environ Health (1998) 53: 222–229

    Article  CAS  Google Scholar 

  • ATS Health effects of outdoor air pollution, Am J Respir Crit Care Med (1996) 153: 477–498

  • Bostrom CE Nitrogen oxides in ambient air — properties, sources, and concentrations, Scand J Work Environ Health (1993) 19(Suppl. 2): 9–13

    PubMed  Google Scholar 

  • Dockery DW Pope A Xu X Spengler J Ware J Fay M Ferris B Speizer F An association between air pollution and mortality in six US cities, N Engl J Med (1993) 329: 1753–1759

    Article  CAS  Google Scholar 

  • EPA National Air Quality and Emissions Trends Report, 1997 US Environmental Protection Agency, Research Triangle Park, NC 1998 1–100

  • Finlaysin-Pitts BJ Pitts JN Tropospheric air pollution: ozone, airborne toxics, polycyclic aromatic hydrocarbons, and particles, Science (1997) 276: 1045–1051

    Article  Google Scholar 

  • Guo YL Sung YC Huang SL Ko YC Lai JS Su HJ Shaw CK Lin RS Dockery DW Climate, traffic-related air pollutants, and asthma prevalence in middle-school children in Taiwan, Environ Health Perspect (1999) 107: 1001–1006

    Article  CAS  Google Scholar 

  • Huang YL Batterman S Residence location as a measure of environmental exposure: a review of air pollution epidemiology studies, J Expos Anal Environ Epidemiol (2000) 10: 66–85

    Article  CAS  Google Scholar 

  • Jaakkola JJ Paunio M Virtanen M Heinonen OP Low-level air pollution and upper respiratory infections in children, Am J Public Health (1991) 81: 1060–1063

    Article  CAS  Google Scholar 

  • Jammes Y Delpierre S Delvolgo MJ Humbert-Tena C Burnet H Long-term exposure of adults to outdoor air pollution is associated with increased airway obstruction and higher prevalence of bronchial hyperresponsiveness, Arch Environ Health (1998) 53: 372–381

    Article  CAS  Google Scholar 

  • Levy LI Impact of residential nitrogen dioxide exposure on personal exposure: an international study, J Air Waste Manage Assoc (1998) 48: 553–560

    Article  CAS  Google Scholar 

  • Liard R Zureick M Moullec YL Soussan D Glorian M Grimfield A Neukirch F Use of personal passive samplers for measurement of NO2, NO and O3 levels in panel studies, Environ Res (1999) 81: 339–348

    Article  CAS  Google Scholar 

  • Nicolai T Epidemiology of pollution-induced airway disease: urban/rural differences in east and west Germany, Allergy (1997) 32: 26–29

    Article  Google Scholar 

  • Nitta H Sato T Nakai S Maeda K Aoki S Ono M Respiratory health associated with exposure to automobile exhaust: I. Results of cross-sectional studies in 1979, 1982, and 1983, Arch Environ Health (1993) 48: 53–58

    Article  CAS  Google Scholar 

  • Ogawa NO, NO2, NOx, and SO2 Sampling Protocol Using the Ogawa Sampler Yokohama City Research Institute of Environmental Science, Yokohama, Japan 1997 1–25

  • Peters JM Avol E A study of twelve southern California communities with differing levels and types of air pollution, Am J Respir Crit Care Med (1999) 159: 768–775

    Article  CAS  Google Scholar 

  • Peters JM Avol E Navidi W London SJ Gauderman WJ Lurmann F Linn WS Margolis H Rappaport E Henry Gong J Thomas DC A study of twelve southern California communities with differing levels and types of air pollution, Am J Respir Crit Care Med (1999) 159: 760–767

    Article  CAS  Google Scholar 

  • Quackenboss JJ Spengler JD Kanarek MS Letz R Duffy CP Personal exposure to nitrogen dioxide: relationship to indoor/outdoor air quality and activity patterns, Environ Sci Technol (1986) 20: 775–782

    Article  CAS  Google Scholar 

  • Spengler JD Schwab M Ryan PB Colome S Wilson AL Billick I Becker E Personal exposure to nitrogen dioxide in the Los Angeles basin, J Air Waste Manage Assoc (1994) 44: 39–47

    Article  CAS  Google Scholar 

  • WGND Position Paper on Air Quality: Nitrogen Dioxide. Working Group on Nitrogen Dioxide European Commission, Directorate-General XI, Sweden 1997 1–75

Download references

Acknowledgements

The authors thank study participants, the Environmental Justice Advisory Panel, and the William Byrd Community House. The first author was supported with a Graduate Research Assistantship provided by the Center for Environmental Studies and the School of Graduate Studies at Virginia Commonwealth University, a Phi Kappa Phi Honor Society scholarship, and an award from the Air and Waste Management Association in Richmond, Virginia. This research was supported by the US Environmental Protection Agency Environmental Justice grant no. CEQ825735-01-0.

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Correspondence to SHELLEY A HARRIS.

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ZIPPRICH, J., HARRIS, S., FOX, J. et al. An analysis of factors that influence personal exposure to nitrogen oxides in residents of Richmond, Virginia. J Expo Sci Environ Epidemiol 12, 273–285 (2002). https://doi.org/10.1038/sj.jea.7500226

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