Evidence map›Paper›PMID 29939357›Full record

ArticleSleep2018

Association between long-term exposure to air pollution and sleep disorder in Chinese children: the Seven Northeastern Cities study.

Wayne R Lawrence, Mo Yang, Chuan Zhang, Ru-Qing Liu, Shao Lin, Si-Quan Wang, Yimin Liu, Huimin Ma, Duo-Hong Chen, Xiao-Wen Zeng and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Sleep, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 7% of its field
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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 100 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  7. Ambient PMBMC public health · 2026
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  11. Early-life NOThe Lancet regional health. Western Pacific · 2025
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  15. Effects of Particulate Matter on Obstructive Sleep Apnea and Obesity.Journal of rhinology : official journal of the Korean Rhinologic Society · 2025
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 3 countries.

Wayne R LawrenceDepartment of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Mo YangDepartment of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Chuan ZhangDepartment of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Ru-Qing LiuDepartment of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Shao LinDepartment of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Rensselaer, NY.
Si-Quan WangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Yimin LiuLaboratory of Occupational Environment and Health Effects, Guangzhou Key Medical Discipline of Occupational Health Guardianship, Guangzhou Prevention and Treatment Center for Occupational Diseases, Guangzhou No.12 Hospital, Guangzhou, China.
Huimin MaState Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China.
Duo-Hong ChenDepartment of Air Quality Forecasting and Early Warning, Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, China.
Xiao-Wen ZengDepartment of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Bo-Yi YangDepartment of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Li-Wen HuDepartment of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Steve Hung Lam YimDepartment of Geography and Resource Management, Stanley Ho Big Data Decision Analytics Research Centre, Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Shatin N.T., Hong Kong, China.
Guang-Hui DongDepartment of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNAlbany State University · USChinese Academy of Sciences · CNChinese University of Hong Kong · HKGuangdong Province Environmental Monitoring Center · CNHarvard University · USTwelfth Guangzhou City People's Hospital · CN

Funding

The Endowment for Community-based Health Disparities Research and TrainingS21MD010692 · NIMHD · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI RODRIGUEZ, HAVIDAN, SCHELL, LAWRENCE M · 2016 to 2020
$10.0M
NIMHD NIH HHS S21 MD010692
6 · The paper itself

Abstract

Study Objectives: There is limited knowledge regarding the effects of air pollution on sleep disorders, particularly in children. The aim of this study is to investigate this association in Chinese children. Methods: During 2012-2013, 59754 children aged 2-17 years were randomly selected from 27 districts in seven northeastern Chinese cities. All participants' sleep was evaluated with the Sleep Disturbance Scale for Children. Four year average concentrations of pollutants were calculated for particles with an aerodynamic diameter of ≤1 µm (PM1), ≤2.5 µm (PM2.5) from a spatial statistical model, and ≤10 µm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) from monitoring stations. To examine the effects, two-level regression analysis was used, controlling for covariates. Results: We observed that sleep disorder was generally associated with all air pollutants, with the highest odds among PM1 exposure for male (odds ratio [OR] 1.55; 95% confidence interval [95% CI] 1.36-1.76) and female (OR 1.50; 95% CI 1.30-1.72) children. The overall strongest association with sleep disorder symptom was exposure to PM1 and Disorders of Excessive Somnolence (OR 1.43; 95% CI 1.30-1.58). PM1 and PM2.5 were strongly associated with all sleep disorder symptoms in females (ORs ranged for PM1 from 1.19 to 1.49; and PM2.5 1.18 to 1.44). The association between air pollutants and total sleep score was generally greater in female than in male children. Conclusions: Our findings suggest that exposure to air pollutants increases the odds of sleep disorder in children and point to the need to make reducing exposure to air pollutants a public health priority.

Indexed as

AdolescentAir PollutantsAir PollutionChildChild, PreschoolChinaCitiesCross-Sectional StudiesFemaleHumansMaleNitrogen DioxideOzonePublic HealthRandom AllocationSleep Wake DisordersAir PollutantsNitrogen DioxideOzoneSulfur Dioxide

Identifiers

PMID29939357
PMCPMC12863407
OpenAlexW2810397079

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.