Evidence map›Paper›PMID 38388654›Full record

ArticleJournal of exposure science & environmental epidemiology2024

Comparison of personal exposure to black carbon levels with fixed-site monitoring data and with dispersion modelling and the influence of activity patterns and environment.

Olena Gruzieva, Antonios Georgelis, Niklas Andersson, Christer Johansson, Tom Bellander, Anne-Sophie Merritt

Abstract readComparative Study
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Olena GruzievaInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Antonios GeorgelisInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Niklas AnderssonInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Christer JohanssonDepartment of Environmental Science, Stockholm University, Stockholm, Sweden.
Tom BellanderInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Anne-Sophie MerrittInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. anne-sophie.merritt@ki.se.ORCID 0000-0002-4497-1779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShort-term studies of health effects from ambient air pollution usually rely on fixed site monitoring data or spatio-temporal models for exposure characterization, but the relation to personal exposure is often not known.

objectiveWe aimed to explore this relation for black carbon (BC) in central Stockholm.

methodsFamilies (n = 46) with an infant, one parent working and one parent on parental leave, carried battery-operated BC instruments for 7 days. Routine BC monitoring data were obtained from rural background (RB) and urban background (UB) sites. Outdoor levels of BC at home and work were estimated in 24 h periods by dispersion modelling based on hourly real-time meteorological data, and statistical meteorological data representing annual mean conditions. Global radiation, air pressure, precipitation, temperature, and wind speed data were obtained from the UB station. All families lived in the city centre, within 4 km of the UB station.

resultsThe average level of 24 h personal BC was 425 (s.d. 181) ng/m IMPACT: Short-term studies of health effects from ambient air pollution usually rely on fixed site monitoring data or spatio-temporal models for exposure characterization, but the relation to actual personal exposure is often not known. In this study we showed that both routine monitoring and modelled data explained less than 35% of variability in personal black carbon exposure. Hence, short-term health effects studies based on fixed site monitoring or spatio-temporal modelling are likely to be underpowered and subject to bias.

Indexed as

Air PollutantsEnvironmental ExposureEnvironmental MonitoringSootAdultAir PollutionFemaleHumansInfantMaleModels, TheoreticalSwedenAir PollutantsSootBlack carbonDispersion modellingFixed-site monitoringPersonal exposureTime-activity pattern

Identifiers

PMID38388654
PMCPMC11222137

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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.