Evidence map›Paper›PMID 36788269›Full record

ArticleJournal of exposure science & environmental epidemiology2023

Measuring environmental exposures in people's activity space: The need to account for travel modes and exposure decay.

Lai Wei, Mei-Po Kwan, Roel Vermeulen, Marco Helbich

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Co-Designing a School-Based Citizen Science Protocol to Investigate Tire-Related Pollutants in Barcelona.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
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  5. A computational framework for agent-based assessment of multiple environmental exposures.Journal of exposure science & environmental epidemiology · 2026
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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

4 authors.

Lai WeiDepartment of Human Geography and Spatial Planning, Utrecht University, Utrecht, The Netherlands. l.wei@uu.nl.ORCID 0000-0001-6688-4919
Mei-Po KwanDepartment of Human Geography and Spatial Planning, Utrecht University, Utrecht, The Netherlands.
Roel VermeulenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
Marco HelbichDepartment of Human Geography and Spatial Planning, Utrecht University, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurately quantifying people's out-of-home environmental exposure is important for identifying disease risk factors. Several activity space-based exposure assessments exist, possibly leading to different exposure estimates, and have neither considered individual travel modes nor exposure-related distance decay effects.

objectiveWe aimed (1) to develop an activity space-based exposure assessment approach that included travel modes and exposure-related distance decay effects and (2) to compare the size of such spaces and the exposure estimates derived from them across typically used activity space operationalizations.

methodsWe used 7-day-long global positioning system (GPS)-enabled smartphone-based tracking data of 269 Dutch adults. People's GPS trajectory points were classified into passive and active travel modes. Exposure-related distance decay effects were modeled through linear, exponential, and Gaussian decay functions. We performed cross-comparisons on these three functional decay models and an unweighted model in conjunction with four activity space models (i.e., home-based buffers, minimum convex polygons, two standard deviational ellipses, and time-weighted GPS-based buffers). We applied non-parametric Kruskal-Wallis tests, pair-wise Wilcoxon signed-rank tests, and Spearman correlations to assess mean differences in the extent of the activity spaces and correlations across exposures to particulate matter (PM

resultsParticipants spent, on average, 42% of their daily life out-of-home. We observed that including travel modes into activity space delineation resulted in significantly more compact activity spaces. Exposure estimates for PM SIGNIFICANCE: For some exposures, the tested activity space definitions, although significantly correlated, exhibited differing exposure estimate results based on inclusion or exclusion of travel modes or distance decay effect. Results only supported using home-based buffer values as proxies for individuals' daily short-term PM

Indexed as

Air PollutantsAdultData CollectionEnvironmental ExposureGeographic Information SystemsHumansParticulate MatterAir PollutantsParticulate MatterDaily mobilityEnvironmental healthExposomeExposure assessmentGPS trackingIndividual exposure

Identifiers

PMID36788269
PMCPMC7617267

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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.