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

  1. Nagrani, Rajini ORCID logo
  2. Marron, Manuela ORCID logo
  3. Bongaerts, Eva
  4. Nawrot, Tim S.
  5. Ameloot, Marcel
  6. de Hoogh, Kees
  7. Vienneau, Danielle ORCID logo
  8. Lequy, Emeline ORCID logo
  9. Jacquemin, Benedicte ORCID logo
  10. Günther, Kathrin
  11. De Ruyter, Thaïs ORCID logo
  12. Mehlig, Kirsten ORCID logo
  13. Molnár, Dénes
  14. Moreno, Luis A.
  15. Russo, Paola
  16. Veidebaum, Toomas
  17. Ahrens, Wolfgang ORCID logo
  18. Buck, Christoph ORCID logo
  19. The IDEFICS Consortium
  20. The I.Family Consortium

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WeightNameValue
1000 Titel
  • Association of urinary and ambient black carbon, and other ambient air pollutants with risk of prediabetes and metabolic syndrome in children and adolescents
1000 Autor/in
  1. Nagrani, Rajini |
  2. Marron, Manuela |
  3. Bongaerts, Eva |
  4. Nawrot, Tim S. |
  5. Ameloot, Marcel |
  6. de Hoogh, Kees |
  7. Vienneau, Danielle |
  8. Lequy, Emeline |
  9. Jacquemin, Benedicte |
  10. Günther, Kathrin |
  11. De Ruyter, Thaïs |
  12. Mehlig, Kirsten |
  13. Molnár, Dénes |
  14. Moreno, Luis A. |
  15. Russo, Paola |
  16. Veidebaum, Toomas |
  17. Ahrens, Wolfgang |
  18. Buck, Christoph |
1000 Mitwirkende/r
  1. The IDEFICS Consortium |
  2. The I.Family Consortium |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-11-28
1000 Erschienen in
1000 Quellenangabe
  • 317:120773
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.envpol.2022.120773 |
1000 Ergänzendes Material
  • https://www.sciencedirect.com/science/article/pii/S026974912201987X?via%3Dihub#appsec1 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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. We 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. We determined the amount of BC particles in urine using label-free white-light generation under femtosecond pulsed laser illumination. We 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 we calculated the residential distance to major roads (≤250 m vs. more). We 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 we did not observe associations between urinary and ambient BC in overall analysis, we observed a positive association between urinary and ambient 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. We observed a positive association between log-transformed urinary BC particles and MetS (ORper 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. Our 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 our findings.
1000 Sacherschließung
lokal Prediabetes
lokal Children cohort
lokal Metabolic syndrome
lokal Black carbon
lokal Air pollution
lokal Urine biomarker
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-1708-2319|https://orcid.org/0000-0001-9658-1855|https://frl.publisso.de/adhoc/uri/Qm9uZ2FlcnRzLCBFdmE=|https://frl.publisso.de/adhoc/uri/TmF3cm90LCBUaW0gUy4=|https://frl.publisso.de/adhoc/uri/QW1lbG9vdCwgTWFyY2Vs|https://frl.publisso.de/adhoc/uri/ZGUgSG9vZ2gsIEtlZXM=|https://orcid.org/0000-0002-6309-6439|https://orcid.org/0000-0003-2909-6598|https://orcid.org/0000-0003-1273-9892|https://frl.publisso.de/adhoc/uri/R8O8bnRoZXIsIEthdGhyaW4=|https://orcid.org/0000-0002-0174-8673|https://orcid.org/0000-0002-2653-0734|https://frl.publisso.de/adhoc/uri/TW9sbsOhciwgRMOpbmVz|https://frl.publisso.de/adhoc/uri/TW9yZW5vLCBMdWlzIEEu|https://frl.publisso.de/adhoc/uri/UnVzc28sIFBhb2xh|https://frl.publisso.de/adhoc/uri/VmVpZGViYXVtLCBUb29tYXM=|https://orcid.org/0000-0003-3777-570X|https://orcid.org/0000-0003-0261-704X|https://frl.publisso.de/adhoc/uri/VGhlIElERUZJQ1MgQ29uc29ydGl1bQ==|https://frl.publisso.de/adhoc/uri/VGhlIEkuRmFtaWx5IENvbnNvcnRpdW0=
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1000 Erstellt am 2023-04-18T11:20:28.123+0200
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