Evidence map›Paper›PMID 42416553›Full record

ArticleExposome2026

Measuring the exposome: a practical guide for using wearable passive samplers to assess environmental influences.

Joseph O Okeme, Elizabeth Z Lin, Jeremy P Koelmel, Anya Guo, Dong Gao, Krystal J Godri Pollitt

Abstract read
In one paragraph

Article in Exposome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Joseph O OkemeDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States.
Elizabeth Z LinDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States.
Jeremy P KoelmelDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States.
Anya GuoDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario, Canada.
Dong GaoDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States.
Krystal J Godri PollittDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States.ORCID 0000-0001-7332-2228

Funding

NEXUS: Network for Exposomics in the U.S.U24ES036819 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Rima Habre, GARY W MILLER · 2024 to 2026
$4.6M
NIEHS NIH HHS U24 ES036819
6 · The paper itself

Abstract

Wearable passive samplers present tremendous opportunity for measuring the exposome. These tools offer a user-friendly and cost-effective approach to assess personal exposure, enabling access to remote communities and under-researched vulnerable populations. Use of these wearable devices has gained popularity over the past two decades but before these tools can be adopted for routine use in large-scale health studies, they require standardization to ensure data reproducibility. With the objective of harmonizing wearable passive sampler use, this paper serves as a guide to available technologies (Fresh Air samplers, commercial silicone wristbands, custom silicone bands, and the silicone brooch) and best practices for assessing exposure to environmental chemicals. We discuss the optimal duration to wear these sampling tools, essential quality control and quality assurance measures, chemical analysis approaches, and strategies to interpret measured exposures. We also propose minimum guidelines for sample collection and reporting data to foster measurement standardization and secondary analysis. Strategies to improve data transparency through harmonization will enable comparability of the comprehensive measures of the exposome using wearable passive samplers.

Indexed as

chemicalexposomemass spectrometrypersonal exposurewearable passive samplerswristbands

Identifiers

PMID42416553
PMCPMC13340902

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.