Estimating personal exposures from ambient air pollution measures: Using meta-analysis to assess measurement error

Katelyn M. Holliday, Christy L. Avery, Charles Poole, Kathleen McGraw, Ronald Williams, Duanping Liao, Richard L. Smith, Eric A. Whitsel

Research output: Contribution to journalReview article

10 Citations (Scopus)

Abstract

BACKGROUND:: Although ambient concentrations of particulate matter ≤10 μm (PM10) are often used as proxies for total personal exposure, correlation (r) between ambient and personal PM10 concentrations varies. Factors underlying this variation and its effect on health outcome-PM exposure relationships remain poorly understood. METHODS:: We conducted a random-effects meta-analysis to estimate effects of study, participant, and environmental factors on r; used the estimates to impute personal exposure from ambient PM10 concentrations among 4,012 nonsmoking, participants with diabetes in the Women's Health Initiative clinical trial; and then estimated the associations of ambient and imputed personal PM10 concentrations with electrocardiographic measures, such as heart rate variability. RESULTS:: We identified 15 studies (in years 1990-2009) of 342 participants in five countries. The median r was 0.46 (range = 0.13 to 0.72). There was little evidence of funnel plot asymmetry but substantial heterogeneity of r, which increased 0.05 (95% confidence interval = 0.01 to 0.09) per 10 μg/m increase in mean ambient PM10 concentration. Substituting imputed personal exposure for ambient PM10 concentrations shifted mean percent changes in electrocardiographic measures per 10 μg/m increase in exposure away from the null and decreased their precision, for example, -2.0% (-4.6% to 0.7%) versus -7.9% (-15.9% to 0.9%), for the standard deviation of normal-to-normal RR interval duration. CONCLUSIONS:: Analogous distributions and heterogeneity of r in extant meta-analyses of ambient and personal PM2.5 concentrations suggest that observed shifts in mean percent change and decreases in precision may be generalizable across particle size.

Original languageEnglish (US)
Pages (from-to)35-43
Number of pages9
JournalEpidemiology
Volume25
Issue number1
DOIs
StatePublished - Jan 1 2014

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Particulate Matter
Air Pollution
Meta-Analysis
Proxy
Women's Health
Particle Size
Heart Rate
Clinical Trials
Confidence Intervals
Health

All Science Journal Classification (ASJC) codes

  • Epidemiology

Cite this

Holliday, Katelyn M. ; Avery, Christy L. ; Poole, Charles ; McGraw, Kathleen ; Williams, Ronald ; Liao, Duanping ; Smith, Richard L. ; Whitsel, Eric A. / Estimating personal exposures from ambient air pollution measures : Using meta-analysis to assess measurement error. In: Epidemiology. 2014 ; Vol. 25, No. 1. pp. 35-43.
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abstract = "BACKGROUND:: Although ambient concentrations of particulate matter ≤10 μm (PM10) are often used as proxies for total personal exposure, correlation (r) between ambient and personal PM10 concentrations varies. Factors underlying this variation and its effect on health outcome-PM exposure relationships remain poorly understood. METHODS:: We conducted a random-effects meta-analysis to estimate effects of study, participant, and environmental factors on r; used the estimates to impute personal exposure from ambient PM10 concentrations among 4,012 nonsmoking, participants with diabetes in the Women's Health Initiative clinical trial; and then estimated the associations of ambient and imputed personal PM10 concentrations with electrocardiographic measures, such as heart rate variability. RESULTS:: We identified 15 studies (in years 1990-2009) of 342 participants in five countries. The median r was 0.46 (range = 0.13 to 0.72). There was little evidence of funnel plot asymmetry but substantial heterogeneity of r, which increased 0.05 (95{\%} confidence interval = 0.01 to 0.09) per 10 μg/m increase in mean ambient PM10 concentration. Substituting imputed personal exposure for ambient PM10 concentrations shifted mean percent changes in electrocardiographic measures per 10 μg/m increase in exposure away from the null and decreased their precision, for example, -2.0{\%} (-4.6{\%} to 0.7{\%}) versus -7.9{\%} (-15.9{\%} to 0.9{\%}), for the standard deviation of normal-to-normal RR interval duration. CONCLUSIONS:: Analogous distributions and heterogeneity of r in extant meta-analyses of ambient and personal PM2.5 concentrations suggest that observed shifts in mean percent change and decreases in precision may be generalizable across particle size.",
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Holliday, KM, Avery, CL, Poole, C, McGraw, K, Williams, R, Liao, D, Smith, RL & Whitsel, EA 2014, 'Estimating personal exposures from ambient air pollution measures: Using meta-analysis to assess measurement error', Epidemiology, vol. 25, no. 1, pp. 35-43. https://doi.org/10.1097/EDE.0000000000000006

Estimating personal exposures from ambient air pollution measures : Using meta-analysis to assess measurement error. / Holliday, Katelyn M.; Avery, Christy L.; Poole, Charles; McGraw, Kathleen; Williams, Ronald; Liao, Duanping; Smith, Richard L.; Whitsel, Eric A.

In: Epidemiology, Vol. 25, No. 1, 01.01.2014, p. 35-43.

Research output: Contribution to journalReview article

TY - JOUR

T1 - Estimating personal exposures from ambient air pollution measures

T2 - Using meta-analysis to assess measurement error

AU - Holliday, Katelyn M.

AU - Avery, Christy L.

AU - Poole, Charles

AU - McGraw, Kathleen

AU - Williams, Ronald

AU - Liao, Duanping

AU - Smith, Richard L.

AU - Whitsel, Eric A.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - BACKGROUND:: Although ambient concentrations of particulate matter ≤10 μm (PM10) are often used as proxies for total personal exposure, correlation (r) between ambient and personal PM10 concentrations varies. Factors underlying this variation and its effect on health outcome-PM exposure relationships remain poorly understood. METHODS:: We conducted a random-effects meta-analysis to estimate effects of study, participant, and environmental factors on r; used the estimates to impute personal exposure from ambient PM10 concentrations among 4,012 nonsmoking, participants with diabetes in the Women's Health Initiative clinical trial; and then estimated the associations of ambient and imputed personal PM10 concentrations with electrocardiographic measures, such as heart rate variability. RESULTS:: We identified 15 studies (in years 1990-2009) of 342 participants in five countries. The median r was 0.46 (range = 0.13 to 0.72). There was little evidence of funnel plot asymmetry but substantial heterogeneity of r, which increased 0.05 (95% confidence interval = 0.01 to 0.09) per 10 μg/m increase in mean ambient PM10 concentration. Substituting imputed personal exposure for ambient PM10 concentrations shifted mean percent changes in electrocardiographic measures per 10 μg/m increase in exposure away from the null and decreased their precision, for example, -2.0% (-4.6% to 0.7%) versus -7.9% (-15.9% to 0.9%), for the standard deviation of normal-to-normal RR interval duration. CONCLUSIONS:: Analogous distributions and heterogeneity of r in extant meta-analyses of ambient and personal PM2.5 concentrations suggest that observed shifts in mean percent change and decreases in precision may be generalizable across particle size.

AB - BACKGROUND:: Although ambient concentrations of particulate matter ≤10 μm (PM10) are often used as proxies for total personal exposure, correlation (r) between ambient and personal PM10 concentrations varies. Factors underlying this variation and its effect on health outcome-PM exposure relationships remain poorly understood. METHODS:: We conducted a random-effects meta-analysis to estimate effects of study, participant, and environmental factors on r; used the estimates to impute personal exposure from ambient PM10 concentrations among 4,012 nonsmoking, participants with diabetes in the Women's Health Initiative clinical trial; and then estimated the associations of ambient and imputed personal PM10 concentrations with electrocardiographic measures, such as heart rate variability. RESULTS:: We identified 15 studies (in years 1990-2009) of 342 participants in five countries. The median r was 0.46 (range = 0.13 to 0.72). There was little evidence of funnel plot asymmetry but substantial heterogeneity of r, which increased 0.05 (95% confidence interval = 0.01 to 0.09) per 10 μg/m increase in mean ambient PM10 concentration. Substituting imputed personal exposure for ambient PM10 concentrations shifted mean percent changes in electrocardiographic measures per 10 μg/m increase in exposure away from the null and decreased their precision, for example, -2.0% (-4.6% to 0.7%) versus -7.9% (-15.9% to 0.9%), for the standard deviation of normal-to-normal RR interval duration. CONCLUSIONS:: Analogous distributions and heterogeneity of r in extant meta-analyses of ambient and personal PM2.5 concentrations suggest that observed shifts in mean percent change and decreases in precision may be generalizable across particle size.

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DO - 10.1097/EDE.0000000000000006

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