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Association between long-term exposure to air pollution and sleep disorder in Chinese children: the Seven
Wayne R Lawrence1,2, Mo Yang1, Chuan Zhang1
1Department of Preventive Medicine, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Insights
Air pollution, especially fine particulate matter (PM1), is linked to increased sleep disorders in Chinese children. Reducing air pollutant exposure is crucial for child health.
Area of Science:
- Environmental Health
- Pediatric Sleep Medicine
- Public Health
Background:
- Limited understanding of air pollution's impact on pediatric sleep disorders.
- Growing concern over environmental factors affecting child health.
Purpose of the Study:
- To investigate the association between various air pollutants and sleep disorders in Chinese children.
- To identify specific pollutants and sleep symptoms most strongly linked.
Main Methods:
- Utilized data from 59,754 children (aged 2-17) in seven Chinese cities (2012-2013).
- Assessed sleep disturbances using the Sleep Disturbance Scale for Children.
- Analyzed average concentrations of PM1, PM2.5, PM10, SO2, NO2, O3, and CO using regression models.
Main Results:
- Sleep disorders were associated with all measured air pollutants.
- PM1 exposure showed the highest odds for sleep disorders in both male and female children.
- PM1 and PM2.5 were strongly linked to sleep disorders in females, with greater overall impact observed in girls.
Conclusions:
- Exposure to air pollutants significantly increases the risk of sleep disorders in children.
- Findings highlight the need to prioritize reducing air pollution as a public health strategy for children's well-being.
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.
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