Interpersonal and daily variability of personal exposures to nitrogen dioxide and sulfur dioxide

Lee, Ki-Young; Bartell, Scott M.; Paek, Domyung

doi:10.1038/sj.jea.7500304

Cited by 14 publications

(6 citation statements)

References 10 publications

(7 reference statements)

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“…Our finding that the exposure variability for most particulate air pollutants was dominated by the within-person variance component is in agreement with previous studies that reported between-person and within-person variance components for environmental exposures to PM 2.5 , BS, or other air pollutants (Lee et al, 2004;Rappaport and Kupper, 2004;Egeghy et al, 2005;Lin et al, 2005;Sorensen et al, 2005;Lanki et al, 2007;Sarnat et al, 2009). Studies of particulate exposures in occupational settings have also reported larger within-person than between-person variance components (e.g., Kromhout et al, 1993;Symanski et al, 2006;Hagstrom et al, 2008).…”

Section: Discussionsupporting

confidence: 82%

“…However, only a few studies of environmental exposures to various air pollutants also reported between-person and within-person variance components for the study groups (e.g., Lee et al, 2004;Rappaport and Kupper, 2004;Egeghy et al, 2005;Lin et al, 2005;Sorensen et al, 2005;Lanki et al, 2007;Sarnat et al, 2009), two of these studies investigated exposure to PM 2.5 and BS (Sorensen et al, 2005;Lanki et al, 2007). These variance components have been more commonly estimated with personal exposure data collected from occupational settings (Kromhout et al, 1993;Preller et al, 1995;Rappaport et al, 1999;Burstyn et al, 2000;Liljelind et al, 2001;Symanski et al, 2001;Peretz et al, 2002;Hagstrom et al, 2008;Spaan et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Variability of environmental exposure to fine particles, black smoke, and trace elements among a Swedish population

Johannesson

Rappaport

Sällsten

2011

J Expo Sci Environ Epidemiol

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Mixed-effects models were used to estimate within-person and between-person variance components, and some determinants of environmental exposure to particulate matter (PM 2.5 ), black smoke (BS) and trace elements (Cl, K, Ca, Ti, Fe, Ni, Cu, Zn, and Pb) for personal measurements from 30 adult subjects in Gothenburg, Sweden. The within-person variance component dominated the total variability for all investigated compounds except for PM 2.5 and Zn (in which the variance components were about equal). Expressed as fold ranges containing 95% of the underlying distributions, the within-person variance component ranged between 5-fold and 39-fold (median: sixfold), whereas the between-person variance component was always osixfold (median: threefold). The relatively large within-person variance components can lead to attenuation bias in exposure-response relationships and point to the importance of obtaining repeated samples of PM exposure from study subjects in epidemiological investigations of urban air pollution. On the basis of the variance components estimated for the various particulate species, between 3 and 39 repeated measurements per subject would be required to limit attenuation bias to 20%. Significant determinants for personal exposure levels were urban background air concentrations (PM 2.5 , BS, Cl, Zn, and Pb), cigarette smoking (PM 2.5 , BS, K, and Ti), season (PM 2.5 , Fe, and Pb), and the time spent outdoors or in traffic (Fe).

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Section: Discussionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Variability of environmental exposure to fine particles, black smoke, and trace elements among a Swedish population

Johannesson

Rappaport

Sällsten

2011

J Expo Sci Environ Epidemiol

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“…In another population group susceptible for air pollution effects, asthmatic children, the within-subject variation was also found to account for over half of the total variation in indoor PM 2.5 (Wallace et al, 2003). Among adults, day-to-day variation in exposure has been observed to be higher than interpersonal variability also for the pollutants NO 2 and SO 2 (Lee et al, 2004). Results of the current study indicate that repeated measurements of PM 2.5 and absorbance are needed to estimate long-term individual exposures.…”

Section: Discussionmentioning

confidence: 92%

Determinants of personal and indoor PM2.5 and absorbance among elderly subjects with coronary heart disease

Lanki¹,

Ahokas²,

Alm³

et al. 2006

J Expo Sci Environ Epidemiol

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Epidemiological studies have established an association between outdoor levels of fine particles (PM 2.5 ) and cardiovascular health. However, there is little information on the determinants of PM 2.5 exposures among persons with cardiovascular disease, a potentially susceptible population group. Daily outdoor, indoor and personal PM 2.5 and absorbance (proxy for elemental carbon) concentrations were measured among elderly subjects with cardiovascular disease in Amsterdam, the Netherlands, and Helsinki, Finland, during the winter and spring of 1998-1999 within the framework of the ULTRA study. There were 37 non-smoking subjects in Amsterdam and 47 in Helsinki. In Amsterdam, where there were enough exposure events for analyses, exposure to environmental tobacco smoke (ETS) indoors was a major source of between-subject variation in PM 2.5 exposures, and a strong determinant of PM 2.5 and absorbance exposures. When the days with ETS were excluded, within-subject variation accounted for 89% of the total variation in personal PM 2.5 and 97% in absorbance in Amsterdam. The respective figures were 66% and 61% in Helsinki. In both cities, outdoor levels of PM 2.5 and absorbance were major determinants of personal and indoor levels. Traffic was also an important determinant of absorbance: living near a major street increased exposure by 22%, and every hour spent in a motor vehicle by 13% in Amsterdam. The respective increases were 37% and 9% in Helsinki. Cooking was associated with increased levels of both absorbance and PM 2.5 . Our results demonstrate that by using questionnaires in connection with outdoor measurements, exposure estimation of PM 2.5 and its combustion originating fraction can be improved among elderly persons with compromised health.

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“…One participant reported a lost monitor within hours of the start of monitoring, and this was replaced promptly by field staff-but no other incidents were documented. In addition, as Lee et al (2004) reported, daily levels of personal exposure vary greatly, and thus extrapolating short-term findings to chronic exposures should be examined carefully. Note.…”

Section: Discussionmentioning

confidence: 97%

Predicting Personal Nitrogen Dioxide Exposure in an Elderly Population: Integrating Residential Indoor and Outdoor Measurements, Fixed-Site Ambient Pollution Concentrations, Modeled Pollutant Levels, and Time–Activity Patterns

Sahsuvaroglu¹,

Brook

et al. 2009

Journal of Toxicology and Environmental Health, Part A

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Predicting chronic exposure to air pollution at the intra-urban scale has been recognized as a priority area of research for environmental epidemiology. Exposure assessment models attempt to predict and proxy for individuals' personal exposure to ambient air pollution, and there are no studies to date that explicitly attempt to compare and cross-validate personal exposure concentrations with pollutants modeled at the intra-urban level using methods such as interpolated surfaces and land-use regression (LUR) models. This study aimed to identify how well personal exposure to NO(2) (nitrogen dioxide) can be predicted from ambient exposure measurements and intra-urban exposure estimates using LUR and what other factors contribute to predicting variations in personal exposure beyond measured pollutant levels within home. Personal, indoor and outdoor NO(2) were measured in a population of older adults (>65 yr old) living in Hamilton, Canada. Our results show that personal NO(2) was most strongly associated with contemporaneously collected indoor and outdoor concentrations of NO(2). Predicted NO(2) exposures from intra-urban LUR models were not associated with personal NO(2), whereas interpolated surfaces of particulates and ozone were modestly associated. Combinations of variables that best predicted personal NO(2) variability were derived from time-activity diaries, interpolated surfaces of ambient particulate pollutants, and a city wide temporally matched average of NO(2). The nonsignificant associations between personal NO(2) and the modeled ambient NO(2) concentrations suggest that observed associations between NO(2) generated by LUR models and health effects are probably not produced by NO(2), but by other pollutants that follow a similar spatial pattern.

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Interpersonal and daily variability of personal exposures to nitrogen dioxide and sulfur dioxide

Cited by 14 publications

References 10 publications

Variability of environmental exposure to fine particles, black smoke, and trace elements among a Swedish population

Variability of environmental exposure to fine particles, black smoke, and trace elements among a Swedish population

Determinants of personal and indoor PM2.5 and absorbance among elderly subjects with coronary heart disease

Predicting Personal Nitrogen Dioxide Exposure in an Elderly Population: Integrating Residential Indoor and Outdoor Measurements, Fixed-Site Ambient Pollution Concentrations, Modeled Pollutant Levels, and Time–Activity Patterns

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