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Exposures to particulate matters and childhood sleep disorders-A large study in three provinces in China.
Gui, Zhao-Huan; Heinrich, Joachim; Min Qian, Zhengmin; Schootman, Mario; Zhao, Tian-Yu; Xu, Shu-Li; Jin, Nan-Xiang; Huang, He-Hai; He, Wan-Ting; Wu, Qi-Zhen; Zhang, Jing-Lin; Wang, Dao-Sen; Yang, Mo; Liu, Ru-Qing; Zeng, Xiao-Wen; Dong, Guang-Hui; Lin, Li-Zi.
Affiliation
  • Gui ZH; Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen Unive
  • Heinrich J; Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich 80336, Germany; Allergy and Lung Health Unit, Melbourne School of Population and Health, The University of Melbou
  • Min Qian Z; Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, United States.
  • Schootman M; Department of Internal Medicine, College of Medicine, University of Arkansas for Medical Sciences, 2708 S. 48th Street, Springdale, AR 72762, United States.
  • Zhao TY; Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich 80336, Germany.
  • Xu SL; Department of Occupational and Environmental Health, Shenzhen Baoan District Public Health Service Center, Shenzhen 518100, China.
  • Jin NX; A.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70210 Kuopio, Finland.
  • Huang HH; Department of Occupational and Environmental Health, Shenzhen Baoan District Public Health Service Center, Shenzhen 518100, China.
  • He WT; Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen Unive
  • Wu QZ; Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen Unive
  • Zhang JL; Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen Unive
  • Wang DS; Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen Unive
  • Yang M; Department of Environmental and Biological Science, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211 Kuopio, Finland.
  • Liu RQ; Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen Unive
  • Zeng XW; Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen Unive
  • Dong GH; Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen Unive
  • Lin LZ; Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen Unive
Environ Int ; 190: 108841, 2024 Jun 22.
Article in En | MEDLINE | ID: mdl-38917626
ABSTRACT

OBJECTIVES:

Evidence on the link between long-term ambient particulate matter (PM) exposures and childhood sleep disorders were scarce. We examined the associations between long-term exposures to PM2.5 and PM1 (PM with an aerodynamic equivalent diameter <2.5 µm and <1 µm, respectively) with sleep disorders in children.

METHODS:

We performed a population-based cross-sectional survey in 177,263 children aged 6 to 18 years in 14 Chinese cities during 2012-2018. A satellite-based spatiotemporal model was employed to estimate four-year annual average PM2.5 and PM1 exposures at residential and school addresses. Parents or guardians completed a checklist using the Sleep Disturbance Scale for Children. We estimated the associations using generalized linear mixed models with adjustment for characteristics of children, parents, and indoor environments.

RESULTS:

Long-term PM2.5 and PM1 exposures were positively associated with odds of sleep disorders for almost all domains. For example, increments in PM2.5 and PM1 per 10 µg/m3 were associated with odds ratios of global sleep disorder of 1.24 (95 % confidence interval [CI] 1.14, 1.35) and 1.31 (95 %CI 1.18, 1.46), respectively. Similar results were observed for subtypes of sleep disorder. These associations were heterogeneous regionally, with stronger associations among children residing in southeast region than in northeast and northwest regions. Moreover, larger estimates of PM1 were found than that of PM2.5 in southeast region.

CONCLUSION:

Long-term PM2.5 and PM1 exposures are independently associated with higher risks of childhood sleep disorders, and these associations vary by geographical region.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Environ Int Year: 2024 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Environ Int Year: 2024 Type: Article