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Air pollution, road traffic noise and lack of greenness and risk of type 2 diabetes: A multi-exposure prospective study covering Denmark

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Air pollution, road traffic noise and lack of greenness and risk of type 2 diabetes: A multi-exposure prospective study covering Denmark. / Sørensen, Mette; Poulsen, Aslak H.; Hvidtfeldt, Ulla A. et al.
In: Environment International, Vol. 170, 107570, 12.2022.

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Sørensen M, Poulsen AH, Hvidtfeldt UA, Brandt J, Frohn LM, Ketzel M et al. Air pollution, road traffic noise and lack of greenness and risk of type 2 diabetes: A multi-exposure prospective study covering Denmark. Environment International. 2022 Dec;170:107570. doi: 10.1016/j.envint.2022.107570

Author

Sørensen, Mette ; Poulsen, Aslak H. ; Hvidtfeldt, Ulla A. et al. / Air pollution, road traffic noise and lack of greenness and risk of type 2 diabetes : A multi-exposure prospective study covering Denmark. In: Environment International. 2022 ; Vol. 170.

Bibtex

@article{c95d54a728aa405999603e806709ae25,
title = "Air pollution, road traffic noise and lack of greenness and risk of type 2 diabetes: A multi-exposure prospective study covering Denmark",
abstract = "Objective: Air pollution, road traffic noise and lack of greenness coexist in urban environments and have all been associated with type 2 diabetes. We aimed to investigate how these co-exposures were associated with type 2 diabetes in a multi-exposure perspective. Methods: We estimated 5-year residential mean exposure to fine particles (PM2.5), ultrafine particles (UFP), elemental carbon (EC), nitrogen dioxide (NO2) and road traffic noise at the most (LdenMax) and least (LdenMin) exposed facade for all persons aged > 50 years living in Denmark in 2005 to 2017. For each air pollutant, we estimated total concentrations and traffic contributions. Based on land use maps, we estimated proportion of green and non-green space within 150 and 1000 m of all residences. In total, 1.9 million persons were included and 128,358 developed type 2 diabetes during follow-up. We performed analyses using Cox proportional hazards models, with adjustment for individual and neighborhood-level sociodemographic co-variates. Results: In single-pollutant models, all air pollutants, noise and lack of green space were associated with higher risk of diabetes. In two-, three- and four-pollutant analyses of the air pollutants, only UFP and NO2 remained associated with higher diabetes risk in all models. LdenMax, LdenMin and the two proxies of green space remained associated with diabetes in two-pollutant models of, respectively, noise and green space. In a multi-pollutant analysis, we found hazard ratios (95 % confidence intervals) per interquartile range of 1.021 (1.005; 1.038) for UFP, 1.012 (0.996; 1.028) for NO2, 1.022 (1.012; 1.033) for LdenMin, 1.013 (1.004; 1.022) for LdenMax, and 1.038 (1.031; 1.044) and 1.018 (1.010; 1.025) for lack of green space within, respectively, 150 m and 1000 m, and a cumulative risk index of 1.131 (1.113; 1.149). Conclusions: Air pollution, road traffic noise and lack of green space were independently associated with higher risk of type 2 diabetes.",
keywords = "Air pollution, Green space, Multi-pollutant, Road traffic noise, Type 2 diabetes",
author = "Mette S{\o}rensen and Poulsen, {Aslak H.} and Hvidtfeldt, {Ulla A.} and J{\o}rgen Brandt and Frohn, {Lise M.} and Matthias Ketzel and Christensen, {Jesper H.} and Ulas Im and Jibran Khan and Thomas M{\"u}nzel and Ole Raaschou-Nielsen",
note = "Publisher Copyright: {\textcopyright} 2022 The Authors",
year = "2022",
month = dec,
doi = "10.1016/j.envint.2022.107570",
language = "English",
volume = "170",
journal = "Environment International",
issn = "0160-4120",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Air pollution, road traffic noise and lack of greenness and risk of type 2 diabetes

T2 - A multi-exposure prospective study covering Denmark

AU - Sørensen, Mette

AU - Poulsen, Aslak H.

AU - Hvidtfeldt, Ulla A.

AU - Brandt, Jørgen

AU - Frohn, Lise M.

AU - Ketzel, Matthias

AU - Christensen, Jesper H.

AU - Im, Ulas

AU - Khan, Jibran

AU - Münzel, Thomas

AU - Raaschou-Nielsen, Ole

N1 - Publisher Copyright: © 2022 The Authors

PY - 2022/12

Y1 - 2022/12

N2 - Objective: Air pollution, road traffic noise and lack of greenness coexist in urban environments and have all been associated with type 2 diabetes. We aimed to investigate how these co-exposures were associated with type 2 diabetes in a multi-exposure perspective. Methods: We estimated 5-year residential mean exposure to fine particles (PM2.5), ultrafine particles (UFP), elemental carbon (EC), nitrogen dioxide (NO2) and road traffic noise at the most (LdenMax) and least (LdenMin) exposed facade for all persons aged > 50 years living in Denmark in 2005 to 2017. For each air pollutant, we estimated total concentrations and traffic contributions. Based on land use maps, we estimated proportion of green and non-green space within 150 and 1000 m of all residences. In total, 1.9 million persons were included and 128,358 developed type 2 diabetes during follow-up. We performed analyses using Cox proportional hazards models, with adjustment for individual and neighborhood-level sociodemographic co-variates. Results: In single-pollutant models, all air pollutants, noise and lack of green space were associated with higher risk of diabetes. In two-, three- and four-pollutant analyses of the air pollutants, only UFP and NO2 remained associated with higher diabetes risk in all models. LdenMax, LdenMin and the two proxies of green space remained associated with diabetes in two-pollutant models of, respectively, noise and green space. In a multi-pollutant analysis, we found hazard ratios (95 % confidence intervals) per interquartile range of 1.021 (1.005; 1.038) for UFP, 1.012 (0.996; 1.028) for NO2, 1.022 (1.012; 1.033) for LdenMin, 1.013 (1.004; 1.022) for LdenMax, and 1.038 (1.031; 1.044) and 1.018 (1.010; 1.025) for lack of green space within, respectively, 150 m and 1000 m, and a cumulative risk index of 1.131 (1.113; 1.149). Conclusions: Air pollution, road traffic noise and lack of green space were independently associated with higher risk of type 2 diabetes.

AB - Objective: Air pollution, road traffic noise and lack of greenness coexist in urban environments and have all been associated with type 2 diabetes. We aimed to investigate how these co-exposures were associated with type 2 diabetes in a multi-exposure perspective. Methods: We estimated 5-year residential mean exposure to fine particles (PM2.5), ultrafine particles (UFP), elemental carbon (EC), nitrogen dioxide (NO2) and road traffic noise at the most (LdenMax) and least (LdenMin) exposed facade for all persons aged > 50 years living in Denmark in 2005 to 2017. For each air pollutant, we estimated total concentrations and traffic contributions. Based on land use maps, we estimated proportion of green and non-green space within 150 and 1000 m of all residences. In total, 1.9 million persons were included and 128,358 developed type 2 diabetes during follow-up. We performed analyses using Cox proportional hazards models, with adjustment for individual and neighborhood-level sociodemographic co-variates. Results: In single-pollutant models, all air pollutants, noise and lack of green space were associated with higher risk of diabetes. In two-, three- and four-pollutant analyses of the air pollutants, only UFP and NO2 remained associated with higher diabetes risk in all models. LdenMax, LdenMin and the two proxies of green space remained associated with diabetes in two-pollutant models of, respectively, noise and green space. In a multi-pollutant analysis, we found hazard ratios (95 % confidence intervals) per interquartile range of 1.021 (1.005; 1.038) for UFP, 1.012 (0.996; 1.028) for NO2, 1.022 (1.012; 1.033) for LdenMin, 1.013 (1.004; 1.022) for LdenMax, and 1.038 (1.031; 1.044) and 1.018 (1.010; 1.025) for lack of green space within, respectively, 150 m and 1000 m, and a cumulative risk index of 1.131 (1.113; 1.149). Conclusions: Air pollution, road traffic noise and lack of green space were independently associated with higher risk of type 2 diabetes.

KW - Air pollution

KW - Green space

KW - Multi-pollutant

KW - Road traffic noise

KW - Type 2 diabetes

U2 - 10.1016/j.envint.2022.107570

DO - 10.1016/j.envint.2022.107570

M3 - Journal article

C2 - 36334460

AN - SCOPUS:85142429625

VL - 170

JO - Environment International

JF - Environment International

SN - 0160-4120

M1 - 107570

ER -