The Long-Term Mortality Effects Associated with Exposure to Particles and NOx in the Malmö Diet and Cancer Cohort

Author:

Olstrup Henrik12,Flanagan Erin1,Persson Jan-Olov3,Rittner Ralf1,Krage Carlsen Hanne4ORCID,Stockfelt Leo56,Xu Yiyi6ORCID,Rylander Lars1,Gustafsson Susanna7,Spanne Mårten7,Åström Daniel Oudin12,Engström Gunnar8,Oudin Anna12ORCID

Affiliation:

1. Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, 223 63 Lund, Sweden

2. Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden

3. Department of Mathematics, Stockholm University, 106 91 Stockholm, Sweden

4. School of Public Health and Community Medicine, Institute of Medicine, Center of Registers, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden

5. Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 90 Gothenburg, Sweden

6. Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, 413 90 Gothenburg, Sweden

7. Environment Department, City of Malmö, 205 80 Malmö, Sweden

8. Department of Clinical Sciences at Malmö, CRC, Lund University, 221 00 Lund, Sweden

Abstract

In this study, the long-term mortality effects associated with exposure to PM10 (particles with an aerodynamic diameter smaller than or equal to 10 µm), PM2.5 (particles with an aerodynamic diameter smaller than or equal to 2.5 µm), BC (black carbon), and NOx (nitrogen oxides) were analyzed in a cohort in southern Sweden during the period from 1991 to 2016. Participants (those residing in Malmö, Sweden, born between 1923 and 1950) were randomly recruited from 1991 to 1996. At enrollment, 30,438 participants underwent a health screening, which consisted of questionnaires about lifestyle and diet, a clinical examination, and blood sampling. Mortality data were retrieved from the Swedish National Cause of Death Register. The modeled concentrations of PM10, PM2.5, BC, and NOx at the cohort participants’ home addresses were used to assess air pollution exposure. Cox proportional hazard models were used to estimate the associations between long-term exposure to PM10, PM2.5, BC, and NOx and the time until death among the participants during the period from 1991 to 2016. The hazard ratios (HRs) associated with an interquartile range (IQR) increase in each air pollutant were calculated based on the exposure lag windows of the same year (lag0), 1–5 years (lag1–5), and 6–10 years (lag6–10). Three models were used with varying adjustments for possible confounders including both single-pollutant estimates and two-pollutant estimates. With adjustments for all covariates, the HRs for PM10, PM2.5, BC, and NOx in the single-pollutant models at lag1–5 were 1.06 (95% CI: 1.02–1.11), 1.01 (95% CI: 0.95–1.08), 1.07 (95% CI: 1.04–1.11), and 1.11 (95% CI: 1.07–1.16) per IQR increase, respectively. The HRs, in most cases, decreased with the inclusion of a larger number of covariates in the models. The most robust associations were shown for NOx, with statistically significant positive HRs in all the models. An overall conclusion is that road traffic-related pollutants had a significant association with mortality in the cohort.

Funder

Formas

European Union’s Horizon 2020

Swedish Research Council for Sustainable Development

Publisher

MDPI AG

Subject

Chemical Health and Safety,Health, Toxicology and Mutagenesis,Toxicology

Reference44 articles.

1. WHO (2023, August 22). Ambient (Outdoor) Air Pollution, Available online: https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health.

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3. Nitrogen dioxide and mortality: Review and meta-analysis of long-term studies;Faustini;Eur. Respir. J.,2014

4. Long-term air pollution exposure and cardio- respiratory mortality: A review;Hoek;Environ. Health,2013

5. Effects of long-term exposure to air pollution on natural-cause mortality: An analysis of 22 European cohorts within the multicentre ESCAPE project;Beelen;Lancet,2014

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