Association of urinary and ambient black carbon, and other ambient pollutants with risk of prediabetes and metabolic syndrome in children and adolescents

The effects of exposure to black carbon (BC) on various diseases remains unclear, one reason being potential exposure misclassification following modelling of ambient air pollution levels. Urinary BC particles may be a more precise measure to analyze the health effects of BC. The authors aimed to assess the risk of prediabetes and metabolic syndrome (MetS) in relation to urinary BC particles and ambient BC and to compare their associations in 5453 children from IDEFICS/I. Family cohort. The authors determined the amount of BC particles in urine using label-free white-light generation under femtosecond pulsed laser illumination. The authors assessed annual exposure to ambient air pollutants (BC, PM₂.₅ and NO₂) at the place of residence using land use regression models for Europe, and the authors calculated the residential distance to major roads (≤250 m vs. more). The authors analyzed the cross-sectional relationships between urinary BC and air pollutants (BC, PM₂.₅ and NO₂) and distance to roads, and the associations of all these variables to the risk of prediabetes and MetS, using logistic and linear regression models. Though the authors did not observe associations between urinary and ambient BC in overall analysis, the authors observed higher urinary BC levels in boys and in children living ≤250 m to a major road compared to those living >250 m away from a major road. The authors observed a positive association between log-transformed urinary BC particles and MetS (OR[subscript per unit increase] = 1.72, 95% CI = 1.21; 2.45). An association between ambient BC and MetS was only observed in children living closer to a major road. The authors' findings suggest that exposure to BC (ambient and biomarker) may contribute to the risk of MetS in children. By measuring the internal dose, the BC particles in urine may have additionally captured non-residential sources and reduced exposure misclassification. Larger studies, with longitudinal design including measurement of urinary BC at multiple time-points are warranted to confirm the authors' findings.

• Record URL:
  https://doi.org/10.1016/j.envpol.2022.120773
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S026974912201987X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/02697491
• Supplemental Notes:
  • © 2022 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Nagrani, Rajini
  • 0000-0002-1708-2319
  • Marron, Manuela
  • 0000-0001-9658-1855
  • Bongaerts, Eva
  • Nawrot, Tim S
  • Ameloot, Marcel
  • Kees deHoogh
  • Vienneau, Danielle
  • 0000-0002-6309-6439
  • Lequy, Emeline
  • 0000-0003-2909-6598
  • Jacquemin, Benedicte
  • 0000-0003-1273-9892
  • Guenther, Kathrin
  • De Ruyter, Thaïs
  • 0000-0002-0174-8673
  • Mehlig, Kirsten
  • 0000-0002-2653-0734
  • Molnár, Dénes
  • Moreno, Luis A
  • Russo, Paola
  • 0000-0002-3603-0143
  • Veidebaum, Toomas
  • Ahrens, Wolfgang
  • Buck, Christoph
  • 0000-0003-0261-704X
• Publication Date: 2023-1-15

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 120773
• Serial:
  • Environmental Pollution
  • Volume: 317
  • Issue Number: 0
  • Publisher: Elsevier Publishing Company, Limited
  • ISSN: 0269-7491
  • Serial URL: http://www.journals.elsevier.com/environmental-pollution

Subject/Index Terms

• TRT Terms: Adolescents; Carbon black; Children; Diabetes; Pollutants; Public health
• Subject Areas: Environment; Highways;

Filing Info

• Accession Number: 01867943
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 19 2022 11:04AM