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Long-Term Exposure to Traffic-Related Air Pollution and Diabetes: A Systematic Review and Meta-Analysis.

Kutlar Joss, M; Boogaard, H; Samoli, E; Patton, AP; Atkinson, R; Brook, J; Chang, H; Haddad, P; Hoek, G; Kappeler, R; et al. Kutlar Joss, M; Boogaard, H; Samoli, E; Patton, AP; Atkinson, R; Brook, J; Chang, H; Haddad, P; Hoek, G; Kappeler, R; Sagiv, S; Smargiassi, A; Szpiro, A; Vienneau, D; Weuve, J; Lurmann, F; Forastiere, F; Hoffmann, BH (2023) Long-Term Exposure to Traffic-Related Air Pollution and Diabetes: A Systematic Review and Meta-Analysis. Int J Public Health, 68. p. 1605718. ISSN 1661-8564 https://doi.org/10.3389/ijph.2023.1605718
SGUL Authors: Atkinson, Richard William

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Abstract

Objectives: We report results of a systematic review on the health effects of long-term traffic-related air pollution (TRAP) and diabetes in the adult population. Methods: An expert Panel appointed by the Health Effects Institute conducted this systematic review. We searched the PubMed and LUDOK databases for epidemiological studies from 1980 to July 2019. TRAP was defined based on a comprehensive protocol. Random-effects meta-analyses were performed. Confidence assessments were based on a modified Office for Health Assessment and Translation (OHAT) approach, complemented with a broader narrative synthesis. We extended our interpretation to include evidence published up to May 2022. Results: We considered 21 studies on diabetes. All meta-analytic estimates indicated higher diabetes risks with higher exposure. Exposure to NO2 was associated with higher diabetes prevalence (RR 1.09; 95% CI: 1.02; 1.17 per 10 μg/m3), but less pronounced for diabetes incidence (RR 1.04; 95% CI: 0.96; 1.13 per 10 μg/m3). The overall confidence in the evidence was rated moderate, strengthened by the addition of 5 recently published studies. Conclusion: There was moderate evidence for an association of long-term TRAP exposure with diabetes.

Item Type: Article
Additional Information: Copyright © 2023 Kutlar Joss, Boogaard, Samoli, Patton, Atkinson, Brook, Chang, Haddad, Hoek, Kappeler, Sagiv, Smargiassi, Szpiro, Vienneau, Weuve, Lurmann, Forastiere and Hoffmann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: NO2, confidence assessment, diabetes, particulate matter, traffic-related air pollution, Adult, Humans, Air Pollutants, Air Pollution, Environmental Exposure, Diabetes Mellitus, Incidence, Particulate Matter, Humans, Diabetes Mellitus, Air Pollutants, Incidence, Air Pollution, Environmental Exposure, Adult, Particulate Matter, diabetes, particulate matter, traffic-related air pollution, NO2, confidence assessment, 1117 Public Health and Health Services, Public Health
SGUL Research Institute / Research Centre: Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title: Int J Public Health
ISSN: 1661-8564
Language: eng
Dates:
DateEvent
31 May 2023Published
15 May 2023Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
CR-83998101Environmental Protection Agencyhttp://dx.doi.org/10.13039/501100001589
17.0094.PJ/R192-0332Swiss Federal Office for the EnvironmentUNSPECIFIED
PubMed ID: 37325174
Web of Science ID: WOS:001006777500001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/115545
Publisher's version: https://doi.org/10.3389/ijph.2023.1605718

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