Evidence map›Paper›PMID 31174508›Full record

ArticleBMC public health2019

Assessment of personal exposure to particulate air pollution: the first result of City Health Outlook (CHO) project.

Lu Liang, Peng Gong, Na Cong, Zhichao Li, Yu Zhao, Ying Chen

Registry-linked trialAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06447974 (The Barts Charity Children's Environmental Health Clinic), which is not on this map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 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.

NCT06447974 narecruitingnot on this mapstarted 2025, after this paper: background citation

The Barts Charity Children's Environmental Health Clinic

TypeinterventionalSponsorQueen Mary University of LondonRan2025 to 2027Enrolled200ConditionsEnvironmental Exposure, Health Behavior, Asthma in Children, Environmental IllnessArmsExposure mitigations
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Review
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  10. NOToxics · 2023
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  18. Real-time indoor PMEnvironmental research · 2021
    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.

Lu LiangDepartment of Geography and the Environment, University of North Texas, 1155 Union Circle, Denton, TX, 76203, USA. lu.liang@unt.edu.
Peng GongMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
Na CongMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
Zhichao LiMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
Yu ZhaoMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
Ying ChenMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China.

Funding

Cyrus Tang Foundation NA
6 · The paper itself

Abstract

backgroundTo mitigate air pollution-related health risks and target interventions towards the populations bearing the greatest risks, the City Health Outlook (CHO) project aims to establish multi-scale, long-lasting, real-time urban environment and health monitoring networks. A major goal of CHO is to collect data of personal exposure to particulate air pollution through a full profile that consists of a matrix of activities and micro-environments. As the first paper of a series, this paper is targeted at illustrating the characteristics of the participants and examining the effects of different covariates on personal exposure at various air pollution exposure levels.

methodsIn the first campaign, volunteers are recruited to wear portable environmental sensors to record their real-time personal air pollution exposure and routes. After a web-based social media recruitment strategy, 50 eligible subjects joined the first campaign in Beijing from January 8 to January 20, 2018. The mean personal exposures were measured at 19.36, 37.65, and 43.45 μg/m

resultsUnequal distribution of exposures was observed in the subjects with different sociodemographic status, travel behavior, living and health conditions. Quantile regression analysis reveals that subjects who are younger, less educated, exposed to passive smoking, low to middle household income, overweight, without ventilation system at home or office, and do not possess private vehicles, are more susceptible to PM pollution. The differences, however, are generally insignificant at low exposure levels and become evident on bad air quality days.

conclusionsThe heterogeneity in personal exposure found in this the first CHO campaign highlighted the importance of studying the pollution exposure at the individual scale. It is at the critical stage to bridge the knowledge gap of environmental inequality in different populations, which can lead to great health implications.

Indexed as

AdultAir PollutionBeijingEnvironmental ExposureEnvironmental MonitoringFemaleHumansMaleParticulate MatterRegression AnalysisSpatio-Temporal AnalysisParticulate MatterParticipatory GISParticulate matterPersonal exposurePublic healthUrbanization

Identifiers

PMID31174508
PMCPMC6555980

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Registered trials

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.