Evidence map›Paper›PMID 39809977›Full record

ArticleJournal of exposure science & environmental epidemiology2026

Personalised estimation of exposure to ambient air pollution and application in a longitudinal cohort analysis of cognitive function in London-dwelling older adults.

Dylan Wood, Dimitris Evangelopoulos, Nutthida Kitwiroon, Gregor Stewart, Tuan Vu, James Smith, Sean Beevers, Klea Katsouyanni

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Dylan WoodEnvironmental Research Group, School of Public Health, Imperial College London, London, UK. dylan.wood@imperial.ac.uk.ORCID http://orcid.org/0000-0002-1150-4613
Dimitris EvangelopoulosEnvironmental Research Group, School of Public Health, Imperial College London, London, UK.
Nutthida KitwiroonEnvironmental Research Group, School of Public Health, Imperial College London, London, UK.
Gregor StewartEnvironmental Research Group, School of Public Health, Imperial College London, London, UK.
Tuan VuEnvironmental Research Group, School of Public Health, Imperial College London, London, UK.
James SmithGuy Carpenter, London, UK.
Sean BeeversEnvironmental Research Group, School of Public Health, Imperial College London, London, UK.
Klea KatsouyanniEnvironmental Research Group, School of Public Health, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate estimates of personal exposure to ambient air pollution are difficult to obtain and epidemiological studies generally rely on residence-based estimates, averaged spatially and temporally, derived from monitoring networks or models. Few epidemiological studies have compared the associated health effects of personal exposure and residence-based estimates.

objectiveTo evaluate the association between exposure to air pollution and cognitive function using exposure estimates taking mobility and location into account.

methodsResidence-based dispersion model estimates of ambient NO

resultsIncreased long-term exposures to residence-based ambient NO IMPACT STATEMENT: The present study constructed a framework through which time-activity information derived from a representative sample could be applied to estimates of ambient air pollution concentrations assigned to individuals in epidemiological cohort studies, with the intention of adjusting commonly used residence-based estimates to reflect population mobility and time spent in various microenvironments. Estimates of exposure were markedly lower when incorporating time-activity, likely because people in European populations spend a large proportion of their time indoors, where their exposure to ambient air pollution may be reduced through infiltration, which is not taken into account in residence-based ambient estimates. Further work into such methods could provide insights into the efficacy of personalising exposure estimates.

Indexed as

Air PollutantsAir PollutionCognitionEnvironmental ExposureAgedAged, 80 and overEnvironmental MonitoringFemaleHumansLondonLongitudinal StudiesMaleMiddle AgedNitrogen DioxideParticulate MatterAir PollutantsNitrogen DioxideParticulate MatterAir pollutionEpidemiologyExposure assessmentExposure modelingPersonal exposure

Identifiers

PMID39809977
PMCPMC12795752

What OpenQuestion holds

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LicenceCC BY
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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.