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

Lawrence, Wayne R.; Yang, Mo; Zhang, Chuan; Liu, Ru-Qing; Lin, Shao; Wang, Si-Quan; Liu, Yimin; Ma, Huimin; Chen, Duo-Hong; Zeng, Xiao‐Wen; Yang, Bo‐Yi; Hu, Liwen; Yim, Steve Hung Lam; Dong, Guang‐Hui

doi:10.1093/sleep/zsy122

Cited by 73 publications

(35 citation statements)

References 36 publications

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“…Our findings are also consistent with previous research [23,26,28,38], which found that increasing levels of ozone and PM 10 were associated with a reduction in sleep efficiency [23], an increase in sleep–disordered breathing (SDB) [23,26,28], and an increase in the severity of sleep apnea [38]. In a recent study across seven northeastern Chinese cities, higher long-term exposure to PM 2.5 , PM 10 , SO 2 , NO 2, and O 3 was associated with a 1.02–1.53 greater odds ratio (OR) of sleep disorders in Chinese children [39]. Moreover, a separate study reported that prenatal PM 2.5 exposure was associated with altered sleep in preschool-aged children in Mexico City [40].…”

Section: Discussionmentioning

confidence: 99%

The Association between Air Pollution and Sleep Duration: A Cohort Study of Freshmen at a University in Beijing, China

Chen

Gordon

et al. 2019

IJERPH

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Background: Rising levels of air pollution in Beijing, China have become a serious environmental issue affecting human health, and young adults are experiencing high rates of insufficient sleep duration or a lack of sleep. Gaps in previous research remain regarding the relationship between air pollution and sleep duration among young adults. The purpose of this study is to assess the associations between air pollution and sleep duration among college students living in Beijing, China. Methods: We conducted follow-up health surveys on 16,889 freshman students enrolled at Tsinghua University over a five-year study period (2013–2018). Sleep duration was measured using the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), which has been validated in China to measure sleep duration. Corresponding levels of the average hourly air quality index (AQI), PM2.5 (µg/m3), PM10 (µg/m3), and NO2 (µg/m3) were gathered from data provided by the Beijing Municipal Ecological Environment Bureau in a closed site at Tsinghua University. Multilevel mixed-effects linear regression models were used to analyze the data. Results: One standard deviation increase in air pollution concentration in AQI, PM2.5, PM10, and NO2 was associated with a reduction in daily hours of sleep by 0.68 (95% confidence interval (CI) = 0.63, 0.73), 0.55 (95% CI = 0.51, 0.59), 0.70 (95% CI = 0.64, 0.76), and 0.51 (95% CI = 0.47, 0.54), respectively. Conclusions: Air pollution was associated with a reduction in sleep duration among freshman students living in Beijing, China. Replication of this study is warranted among various populations within China.

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Section: Discussionmentioning

confidence: 99%

The Association between Air Pollution and Sleep Duration: A Cohort Study of Freshmen at a University in Beijing, China

Chen

Gordon

et al. 2019

IJERPH

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“…Another study conducted in Boston revealed long-term exposure to black carbon was significantly associated with shorter sleep time among male participants and those have low socioeconomic status (Fang et al, 2015). A study conducted in seven northeastern Chinese cities presented long-term exposure to PM 2.5 increased the risk of sleep disorder among children [OR and 95%CI: 1.47 (1.34, 1.62)] (Lawrence et al, 2018). Similar to previous studies, our study found exposure to air pollution had adverse effect on sleep quality.…”

Section: Discussionmentioning

confidence: 99%

“…For instance, a multicenter cohort study conducted in the U.S. reported exposure to PM 10 (particulate matter with aerodynamic diameters ≤10 μm) was significantly associated with decreased sleep efficiency (Zanobetti et al, 2010). A cross-sectional study conducted in northeastern China stated long-term exposures to ambient particulate matter (PM) and gaseous pollutants increased the risk of sleep disorder among children (Lawrence et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Is long-term exposure to air pollution associated with poor sleep quality in rural China?

Chen

Xiang

Mao

et al. 2019

Environment International

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“…First, while we use the whole dataset for studying the heterogeneity of OSA patients, examining more specific patient cohorts may help to reveal more interesting information, e.g., patients with Oxygen therapy or patients with hypertension and nocturia [12]. Second, other environmental factors such as air pollutions is known to be related to OSA, especially for children [24]. Studying how the disease evolve over time wrt.…”

Section: Discussionmentioning

confidence: 99%

Evolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis

Amer-Yahia

Bailly

et al. 2018

Data Sci. Eng.

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We introduce a novel interactive framework to handle both instance-level and temporal smoothness constraints for clustering large longitudinal data and for tracking the cluster evolutions over time. It consists of a constrained clustering algorithm, called CVQE+, which optimizes the clustering quality, constraint violation and the historical cost between consecutive data snapshots. At the center of our framework is a simple yet effective active learning technique, named Border, for iteratively selecting the most informative pairs of objects to query users about, and updating the clustering with new constraints. Those constraints are then propagated inside each data snapshot and between snapshots via two schemes, called constraint inheritance and constraint propagation, to further enhance the results. Moreover, a historical constraint is enforced between consecutive snapshots to ensure the consistency of results among them. Experiments show better or comparable clustering results than state-of-the-art techniques as well as high scalability for large datasets. Finally, we apply our algorithm for clustering phenotypes in patients with Obstructive Sleep Apnea as well as for tracking how these clusters evolve over time.

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

Abstract: 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.

Cited by 73 publications

References 36 publications

The Association between Air Pollution and Sleep Duration: A Cohort Study of Freshmen at a University in Beijing, China

The Association between Air Pollution and Sleep Duration: A Cohort Study of Freshmen at a University in Beijing, China

Is long-term exposure to air pollution associated with poor sleep quality in rural China?

Evolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis

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