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Long-Term Exposure to Road Traffic Noise and Incidence of Diabetes in the Danish Nurse Cohort

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Jørgensen, JT, Bräuner, EV, Backalarz, C, Laursen, JE, Pedersen, TH, Jensen, SS, Ketzel, M, Hertel, O, Lophaven, SN, Simonsen, MK & Andersen, ZJ 2019, 'Long-Term Exposure to Road Traffic Noise and Incidence of Diabetes in the Danish Nurse Cohort' Environmental Health Perspectives, bind 127, nr. 5, s. 57006. https://doi.org/10.1289/EHP4389

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Author

Jørgensen, Jeanette Therming ; Bräuner, Elvira Vaclavik ; Backalarz, Claus ; Laursen, Jens Elgaard ; Pedersen, Torben Holm ; Jensen, Steen Solvang ; Ketzel, Matthias ; Hertel, Ole ; Lophaven, Søren Nyman ; Simonsen, Mette Kildevæld ; Andersen, Zorana Jovanovic. / Long-Term Exposure to Road Traffic Noise and Incidence of Diabetes in the Danish Nurse Cohort. I: Environmental Health Perspectives. 2019 ; Bind 127, Nr. 5. s. 57006.

Bibtex

@article{7c4595b06f6e405fa2d2d00e723ef82b,
title = "Long-Term Exposure to Road Traffic Noise and Incidence of Diabetes in the Danish Nurse Cohort",
abstract = "BACKGROUND: Evidence on the association between road traffic noise and diabetes risk is sparse and inconsistent with respect to how confounding by air pollution was treated.OBJECTIVES: In this study, we aimed to examine whether long-term exposure to road traffic noise over 25 years is associated with incidence of diabetes, independent of air pollution.METHODS: A total of 28,731 female nurses from the Danish Nurse cohort ([Formula: see text] at recruitment in 1993 or 1999) were linked to the Danish National Diabetes Register with information on incidence of diabetes from 1995 until 2013. The annual mean weighted levels of 24-h average road traffic noise ([Formula: see text]) at nurses' residences from 1970 until 2013 were estimated with the Nord2000 method and annual mean levels of particulate matter (PM) with diameter [Formula: see text] and [Formula: see text] ([Formula: see text] and [Formula: see text]), nitrogen dioxide ([Formula: see text]), and nitrogen oxide ([Formula: see text]) with the Danish AirGIS modeling system. Cox proportional hazards regression models were used to examine the association between residential [Formula: see text] in four different exposure windows (1-, 5-, 10-, and 25-years) and the incidence of diabetes, adjusted for lifestyle factors and air pollutants.RESULTS: Of 23,762 nurses free of diabetes at the cohort baseline, 1,158 developed diabetes during a mean follow-up of 15.2 years. We found weak positive associations between 5-y mean exposure to [Formula: see text] (per [Formula: see text] increase) and diabetes incidence in a crude model [hazard ratio (HR): 1.07; 95{\%} confidence interval (CI): 0.99, 1.12], which attenuated in a model adjusted for lifestyle factors (HR:1.04; 95{\%} CI: 0.97, 1.12), and reached unity after additional adjustment for [Formula: see text] (HR: 0.99; 0.91, 1.08). In analyses by level of urbanization, we found a positive association between noise and diabetes in urban areas (HR:1.27; 95{\%} CI: 0.98, 1.63) that was unchanged after adjusting for [Formula: see text] (HR: 1.25; 95{\%} CI: 0.97, 1.62), but we found no apparent association in provincial (HR: 1.02; 95{\%} CI: 0.88, 1.18) or rural areas (HR: 0.97; 95{\%} CI: 0.87, 1.08).CONCLUSION: In the nationwide cohort of Danish nurses 44 years of age and older, we found no association between long-term exposure to road traffic noise and diabetes incidence after adjustment for [Formula: see text] but found suggestive evidence of an association limited to urban areas. https://doi.org/10.1289/EHP4389.",
author = "J{\o}rgensen, {Jeanette Therming} and Br{\"a}uner, {Elvira Vaclavik} and Claus Backalarz and Laursen, {Jens Elgaard} and Pedersen, {Torben Holm} and Jensen, {Steen Solvang} and Matthias Ketzel and Ole Hertel and Lophaven, {S{\o}ren Nyman} and Simonsen, {Mette Kildev{\ae}ld} and Andersen, {Zorana Jovanovic}",
year = "2019",
month = "5",
doi = "10.1289/EHP4389",
language = "English",
volume = "127",
pages = "57006",
journal = "Environmental Health Perspectives",
issn = "0091-6765",
publisher = "U.S. Department of Health and Human Services National Institute of Environmental Health Sciences",
number = "5",

}

RIS

TY - JOUR

T1 - Long-Term Exposure to Road Traffic Noise and Incidence of Diabetes in the Danish Nurse Cohort

AU - Jørgensen, Jeanette Therming

AU - Bräuner, Elvira Vaclavik

AU - Backalarz, Claus

AU - Laursen, Jens Elgaard

AU - Pedersen, Torben Holm

AU - Jensen, Steen Solvang

AU - Ketzel, Matthias

AU - Hertel, Ole

AU - Lophaven, Søren Nyman

AU - Simonsen, Mette Kildevæld

AU - Andersen, Zorana Jovanovic

PY - 2019/5

Y1 - 2019/5

N2 - BACKGROUND: Evidence on the association between road traffic noise and diabetes risk is sparse and inconsistent with respect to how confounding by air pollution was treated.OBJECTIVES: In this study, we aimed to examine whether long-term exposure to road traffic noise over 25 years is associated with incidence of diabetes, independent of air pollution.METHODS: A total of 28,731 female nurses from the Danish Nurse cohort ([Formula: see text] at recruitment in 1993 or 1999) were linked to the Danish National Diabetes Register with information on incidence of diabetes from 1995 until 2013. The annual mean weighted levels of 24-h average road traffic noise ([Formula: see text]) at nurses' residences from 1970 until 2013 were estimated with the Nord2000 method and annual mean levels of particulate matter (PM) with diameter [Formula: see text] and [Formula: see text] ([Formula: see text] and [Formula: see text]), nitrogen dioxide ([Formula: see text]), and nitrogen oxide ([Formula: see text]) with the Danish AirGIS modeling system. Cox proportional hazards regression models were used to examine the association between residential [Formula: see text] in four different exposure windows (1-, 5-, 10-, and 25-years) and the incidence of diabetes, adjusted for lifestyle factors and air pollutants.RESULTS: Of 23,762 nurses free of diabetes at the cohort baseline, 1,158 developed diabetes during a mean follow-up of 15.2 years. We found weak positive associations between 5-y mean exposure to [Formula: see text] (per [Formula: see text] increase) and diabetes incidence in a crude model [hazard ratio (HR): 1.07; 95% confidence interval (CI): 0.99, 1.12], which attenuated in a model adjusted for lifestyle factors (HR:1.04; 95% CI: 0.97, 1.12), and reached unity after additional adjustment for [Formula: see text] (HR: 0.99; 0.91, 1.08). In analyses by level of urbanization, we found a positive association between noise and diabetes in urban areas (HR:1.27; 95% CI: 0.98, 1.63) that was unchanged after adjusting for [Formula: see text] (HR: 1.25; 95% CI: 0.97, 1.62), but we found no apparent association in provincial (HR: 1.02; 95% CI: 0.88, 1.18) or rural areas (HR: 0.97; 95% CI: 0.87, 1.08).CONCLUSION: In the nationwide cohort of Danish nurses 44 years of age and older, we found no association between long-term exposure to road traffic noise and diabetes incidence after adjustment for [Formula: see text] but found suggestive evidence of an association limited to urban areas. https://doi.org/10.1289/EHP4389.

AB - BACKGROUND: Evidence on the association between road traffic noise and diabetes risk is sparse and inconsistent with respect to how confounding by air pollution was treated.OBJECTIVES: In this study, we aimed to examine whether long-term exposure to road traffic noise over 25 years is associated with incidence of diabetes, independent of air pollution.METHODS: A total of 28,731 female nurses from the Danish Nurse cohort ([Formula: see text] at recruitment in 1993 or 1999) were linked to the Danish National Diabetes Register with information on incidence of diabetes from 1995 until 2013. The annual mean weighted levels of 24-h average road traffic noise ([Formula: see text]) at nurses' residences from 1970 until 2013 were estimated with the Nord2000 method and annual mean levels of particulate matter (PM) with diameter [Formula: see text] and [Formula: see text] ([Formula: see text] and [Formula: see text]), nitrogen dioxide ([Formula: see text]), and nitrogen oxide ([Formula: see text]) with the Danish AirGIS modeling system. Cox proportional hazards regression models were used to examine the association between residential [Formula: see text] in four different exposure windows (1-, 5-, 10-, and 25-years) and the incidence of diabetes, adjusted for lifestyle factors and air pollutants.RESULTS: Of 23,762 nurses free of diabetes at the cohort baseline, 1,158 developed diabetes during a mean follow-up of 15.2 years. We found weak positive associations between 5-y mean exposure to [Formula: see text] (per [Formula: see text] increase) and diabetes incidence in a crude model [hazard ratio (HR): 1.07; 95% confidence interval (CI): 0.99, 1.12], which attenuated in a model adjusted for lifestyle factors (HR:1.04; 95% CI: 0.97, 1.12), and reached unity after additional adjustment for [Formula: see text] (HR: 0.99; 0.91, 1.08). In analyses by level of urbanization, we found a positive association between noise and diabetes in urban areas (HR:1.27; 95% CI: 0.98, 1.63) that was unchanged after adjusting for [Formula: see text] (HR: 1.25; 95% CI: 0.97, 1.62), but we found no apparent association in provincial (HR: 1.02; 95% CI: 0.88, 1.18) or rural areas (HR: 0.97; 95% CI: 0.87, 1.08).CONCLUSION: In the nationwide cohort of Danish nurses 44 years of age and older, we found no association between long-term exposure to road traffic noise and diabetes incidence after adjustment for [Formula: see text] but found suggestive evidence of an association limited to urban areas. https://doi.org/10.1289/EHP4389.

U2 - 10.1289/EHP4389

DO - 10.1289/EHP4389

M3 - Journal article

VL - 127

SP - 57006

JO - Environmental Health Perspectives

JF - Environmental Health Perspectives

SN - 0091-6765

IS - 5

ER -

ID: 57255250