Evidence map›Paper›PMID 28520644›Full record

ArticleEpidemiology (Cambridge, Mass.)2017

Trade-offs of Personal Versus More Proxy Exposure Measures in Environmental Epidemiology.

Marc G Weisskopf, Thomas F Webster

Abstract readComparative Study
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 10 pooled it
–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

141 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Pooled it
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  4. A Systematic Review of Predictors of Vaping Cessation Among Young People.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Pooled it
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  11. Trial
  12. Article
  13. Maternal ambient air pollution exposure and risk of stillbirth in Georgia, USA.Environmental epidemiology (Philadelphia, Pa.) · 2026
    Article
  14. Gene-Temperature Interactions and Risk of Childhood Acute Lymphoblastic Leukemia.medRxiv : the preprint server for health sciences · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Relevance and challenges of exposome studies for environmental health research.Environmental health : a global access science source · 2026
    Review
  19. Article
  20. Review

81 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Marc G WeisskopfFrom the aDepartments of Environmental Health and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; and bDepartment of Environmental Health, Boston University School of Public Health, Boston, MA.
Thomas F Webster

Funding

Training CoreP42ES007381 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI HAHN, MARK E · 1995 to 2019
$46.1M
Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P42 ES007381
6 · The paper itself

Abstract

The technological ability to make personal measurements of toxicant exposures is growing rapidly. While this can decrease measurement error and therefore help reduce attenuation of effect estimates, we argue that as measures of exposure or dose become more personal, threats to validity of study findings can increase in ways that more proxy measures may avoid. We use directed acyclic graphs (DAGs) to describe conditions where confounding is introduced by use of more personal measures of exposure and avoided via more proxy measures of personal exposure or target tissue dose. As exposure or dose estimates are more removed from the individual, they become less susceptible to biases from confounding by personal factors that can often be hard to control, such as personal behaviors. Similarly, more proxy exposure estimates are less susceptible to reverse causation. We provide examples from the literature where adjustment for personal factors in analyses that use more proxy exposure estimates have little effect on study results. In conclusion, increased personalized exposure assessment has important advantages for measurement accuracy, but it can increase the possibility of biases from personal factors and reverse causation compared with more proxy exposure estimates. Understanding the relation between more and less proxy exposures, and variables that could introduce confounding are critical components to study design.

Indexed as

Air PollutionBiomarkersData AccuracyEnvironmental ExposureEnvironmental MonitoringHumansBiomarkers

Identifiers

PMID28520644
PMCPMC5543716

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Registered trials

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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.