Evidence map›Paper›PMID 24220191›Full record

SynthesisEpidemiology (Cambridge, Mass.)2014

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

Abstract readMeta-Analysis
In one paragraph

Synthesis in Epidemiology (Cambridge, Mass.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Personal PMToxics · 2026
    Article
  2. Article
  3. Metabolomic evaluation of air pollution-related bone damage and potential mediation in Women's Health Initiative participants.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Air pollution-associated changes in biomarkers of diabetes risk.Environmental epidemiology (Philadelphia, Pa.) · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Katelyn M HollidayFrom the aDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC; bHealth Sciences Library, University of North Carolina, Chapel Hill, NC; cUnited States Environmental Protection Agency, Research Triangle Park, Durham, NC; dDepartment of Public Health Sciences, Pennsylvania State University, Hershey, PA; eStatistical and Mathematical Sciences Institute, Research Triangle Park, Durham, NC; fDepartment of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC; and gDepartment of Medicine, University of North Carolina, Chapel Hill, NC.
Christy L Avery
Charles Poole
Kathleen McGraw
Ronald Williams
Duanping Liao
Richard L Smith
Eric A Whitsel

Funding

Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
The Environmental Epidemiology of Arrythmogenesis in WHIR01ES012238 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WHITSEL, ERIC A. · 2003 to 2007
$2.3M
NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNHLBI NIH HHS T32 HL007055NHLBI NIH HHS T32-HL007055NIEHS NIH HHS R01 ES012238NIEHS NIH HHS R01-ES012238WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

backgroundAlthough 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.

methodsWe 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.

resultsWe 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.

conclusionsAnalogous 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.

Indexed as

AdolescentAdultAgedAged, 80 and overAir PollutantsAir PollutionChildEnvironmental ExposureEnvironmental MonitoringFemaleHumansMaleMiddle AgedParticle SizeParticulate MatterYoung AdultAir PollutantsParticulate Matter

Identifiers

PMID24220191
PMCPMC3973436

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.