Evidence map›Paper›PMID 33209476›Full record

ArticleJournal of thoracic disease2020

Long-term exposure to PM2.5 and Children's lung function: a dose-based association analysis.

Sai Li, Suzhen Cao, Xiaoli Duan, Yaqun Zhang, Jicheng Gong, Xiangyu Xu, Qian Guo, Xin Meng, Mcswain Bertrand, Junfeng Jim Zhang

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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.

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

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

  1. Pooled it
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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

10 authors.

Sai LiSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Suzhen CaoSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Xiaoli DuanSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Yaqun ZhangGansu Provincial Design and Research Institute of Environmental Science, Lanzhou, China.
Jicheng GongBeijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China.
Xiangyu XuSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Qian GuoSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Xin MengBeijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China.
Mcswain BertrandSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Junfeng Jim ZhangBeijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current literature is still not consist regarding the effect of long-term exposure to PM2.5 and children's lung function, partly due to inadequate or inaccurate exposure assessment. In this study, we aim to investigate the associations between long-term exposure to PM2.5, estimated as average daily dose (ADD), and lung function in school-age children.

methodsWe recruited 684 participants of 7-12 years old from the city of Lanzhou located in northwestern China. Participants underwent spirometric tests for lung function and responded to a questionnaire survey. Detailed information about individual air exposure and personal information were collected, including length of school hours, home address, age, gender, etc. Combining the spatial distribution of PM2.5 concentrations in the past 5 years and individual time-activity data, we estimated annual ADD for 5 years preceding the lung function tests and 5-year average ADD, respectively. We used multiple linear regression models to examine the associations between ADD values and lung function, controlling for a range of individual-level covariates.

resultsThe 5-year average ADD among all the participants was 50.5 µg/kg-d, with higher values estimated for children living in the urban area than the suburban area, for boys than girls, and for children whose parents received a lower education attainment. We found that a 1 μg/kg-d increment in ADD of PM2.5 was associated with a 10.49 mL (95% CI: -20.47, -0.50) decrease in forced vital capacity (FVC) and a 7.68 mL (95% CI: -15.80, -0.44) decrease in forced exploratory volume in 1 second (FEV

conclusionsLong-term PM2.5 exposure, when estimated as exposure dose averaged over a year or longer, was associated with statistically significant reductions in FVC and FEV1 in children of elementary-school age. Future studies may consider the use of individual-level dose estimates (as opposed to exposure concentrations) to improve the dose-response assessment.

Indexed as

average daily dose (ADD)Childrenfine particulate matter (fine PM)lung function

Identifiers

PMID33209476
PMCPMC7656332

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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.