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Associations of Particulate Matter Sizes and Chemical Constituents with Blood Lipids: A Panel Study in Guangzhou, China.
He, Zhi-Zhou; Guo, Peng-Yue; Xu, Shu-Li; Zhou, Yang; Jalaludin, Bin; Leskinen, Ari; Knibbs, Luke D; Heinrich, Joachim; Morawska, Lidia; Yim, Steve Hung-Lam; Bui, Dinh; Komppula, Mika; Roponen, Marjut; Hu, Liwen; Chen, Gongbo; Zeng, Xiao-Wen; Yu, Yunjiang; Yang, Bo-Yi; Dong, Guanghui.
Afiliación
  • He ZZ; 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 University, Guangzhou 510080, China.
  • Guo PY; 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 University, Guangzhou 510080, China.
  • Xu SL; 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 University, Guangzhou 510080, China.
  • Zhou Y; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou 510655, China.
  • Jalaludin B; Centre for Air Quality and Health Research and Evaluation, Glebe, NSW 2037, Australia.
  • Leskinen A; Population Health, South Western Sydney Local Health District, Liverpool, NSW 2170, Australia.
  • Knibbs LD; Ingham Institute for Applied Medical Research, Liverpool, NSW 2170, Australia.
  • Heinrich J; School of Public Health and Community Medicine, The University of New South Wales, Kensington, NSW 2052, Australia.
  • Morawska L; Finnish Meteorological Institute, Kuopio 70211, Finland.
  • Yim SH; Department of Applied Physics, University of Eastern Finland, Kuopio 70211, Finland.
  • Bui D; School of Public Health, The University of Queensland, Herston, Queensland 4006, Australia.
  • Komppula M; Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich 80336, Germany.
  • Roponen M; Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich 80336, Germany.
  • Hu L; International Laboratory for Air Quality and Health, Queensland University of Technology (QUT), GP.O. Box 2434, Brisbane, Queensland 4001, Australia.
  • Chen G; Department 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, China.
  • Zeng XW; Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia.
  • Yu Y; Finnish Meteorological Institute, Kuopio 70211, Finland.
  • Yang BY; Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, FI 70211, Finland.
  • Dong G; 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 University, Guangzhou 510080, China.
Environ Sci Technol ; 55(8): 5065-5075, 2021 04 20.
Article en En | MEDLINE | ID: mdl-33764049
Existing evidence is scarce concerning the various effects of different PM sizes and chemical constituents on blood lipids. A panel study that involved 88 healthy college students with five repeated measurements (440 blood samples in total) was performed. We measured mass concentrations of particulate matter with diameters ≤ 2.5 µm (PM2.5), ≤1.0 µm (PM1.0), and ≤0.5 µm (PM0.5) as well as number concentrations of particulate matter with diameters ≤ 0.2 µm (PN0.2) and ≤0.1 µm (PN0.1). We applied linear mixed-effect models to assess the associations between short-term exposure to different PM size fractions and PM2.5 constituents and seven lipid metrics. We found significant associations of greater concentrations of PM in different size fractions within 5 days before blood collection with lower high-density lipoprotein cholesterol (HDL-C) and apolipoprotein A (ApoA1) levels, higher apolipoprotein B (ApoB) levels, and lower ApoA1/ApoB ratios. Among the PM2.5 constituents, we observed that higher concentrations of tin and lead were significantly associated with decreased HDL-C levels, and higher concentrations of nickel were associated with higher HDL-C levels. Our results suggest that short-term exposure to PM in different sizes was deleteriously associated with blood lipids. Some constituents, especially metals, might be the major contributors to the detrimental effects.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Environ Sci Technol Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Environ Sci Technol Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos