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Using Distributed Lag Non-Linear Models to Estimate Exposure Lag-Response Associations between Long-Term Air Pollution Exposure and Incidence of Cardiovascular Disease
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Section of Sustainable Health.ORCID iD: 0000-0001-7143-5835
Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden.
Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden.
Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
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2022 (English)In: International Journal of Environmental Research and Public Health, ISSN 1661-7827, E-ISSN 1660-4601, Vol. 19, no 5, article id 2630Article in journal (Refereed) Published
Abstract [en]

Long-term air pollution exposure increases the risk for cardiovascular disease, but little is known about the temporal relationships between exposure and health outcomes. This study aims to estimate the exposure-lag response between air pollution exposure and risk for ischemic heart disease (IHD) and stroke incidence by applying distributed lag non-linear models (DLNMs). Annual mean concentrations of particles with aerodynamic diameter less than 2.5 µm (PM2.5 ) and black carbon (BC) were estimated for participants in five Swedish cohorts using dispersion models. Simultaneous estimates of exposure lags 1–10 years using DLNMs were compared with separate year specific (single lag) estimates and estimates for lag 1–5-and 6–10-years using moving average exposure. The DLNM estimated no exposure lag-response between PM2.5 total, BC, and IHD. However, for PM2.5 from local sources, a 20% risk increase per 1 µg/m3 for 1-year lag was estimated. A risk increase for stroke was suggested in relation to lags 2–4-year PM2.5 and BC, and also lags 8–9-years BC. No associations were shown in single lag models. Increased risk estimates for stroke in relation to lag 1–5-and 6–10-years BC moving averages were observed. Estimates generally supported a greater contribution to increased risk from exposure windows closer in time to incident IHD and incident stroke.

Place, publisher, year, edition, pages
MDPI, 2022. Vol. 19, no 5, article id 2630
Keywords [en]
Air pollution, Distributed lag non-linear models, Ischemic heart disease, Multicohort, Particulate matter, Stroke
National Category
Occupational Health and Environmental Health
Research subject
Public health
Identifiers
URN: urn:nbn:se:umu:diva-192874DOI: 10.3390/ijerph19052630ISI: 000768249500001PubMedID: 35270332Scopus ID: 2-s2.0-85125089278OAI: oai:DiVA.org:umu-192874DiVA, id: diva2:1643880
Funder
Novo NordiskSwedish Diabetes AssociationSwedish Environmental Protection AgencySwedish Heart Lung FoundationForte, Swedish Research Council for Health, Working Life and WelfareStockholm County CouncilSwedish Research Council, 2017-00641Available from: 2022-03-11 Created: 2022-03-11 Last updated: 2023-09-05Bibliographically approved
In thesis
1. Improved health economic assessments of sustainable transport solutions in urban environments
Open this publication in new window or tab >>Improved health economic assessments of sustainable transport solutions in urban environments
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Introduction: Part of the European Strategy to achieve climate neutrality in the transport sector is to increase the proportion of electric vehicles (EVs) and active commuting. Health co-benefits from reduced air pollution and increased active commuting are assumed to follow; however, all dimensions of expected health effects are not quantified nor valued monetarily. Current state-of-the art health impact assessments (HIAs) of air pollution assume immediate change in health with exposure; however, the time-window of importance for health outcomes is unknown. Moreover, the currently applied risk estimate of sick leaves in relation to air pollution is poorly generalizable due to outdated exposure assessment and subjective data on outcome. The overall aim of this thesis is to assess the health economic effects of sustainable urban transport solutions and improve the epidemiological knowledge base of air pollution effects. 

Methods: The health effects of increased active commuting and the resulting change in air pollution exposure were valued monetarily from a health care perspective, and a cost-effectiveness analysis of investment in bicycle infrastructure was conducted. A health economic assessment from a societal perspective was also conducted for an increased proportion of EVs in the vehicle fleet, considering a change in both exhaust and non-exhaust particles. The exposure-lag response between air pollution and risk for ischemic heart disease (IHD) and stroke was assessed in a multi-cohort study using distributed lag-nonlinear models (DLNMs). A case cross-over study design was applied to estimate the odds of sick leaves in relation to short-term PM2.5 exposure, and production losses were valued using the human capital method. 

Results: Investing in bicycle infrastructure to enable increased active commuting was estimated to be cost-effective from a health care perspective. An increased proportion of EVs was estimated to decrease population-weighted PM2.5 concentrations without the use of studded winter tires, but was estimated to increase with the current use of studded winter tires in Stockholm Sweden. For a 0-50% use of studded winter tires the health economic costs ranged between €20 and €122 million (M). An independent effect of PM2.5 on sick leaves was estimated to correspond to €2M per year in productivity loss for the population of Stockholm municipality. Exposure time windows closer in time and local sources of air pollution were suggested to be of greater importance for incident IHD and stroke.

Conclusions: This thesis has demonstrated the health economic potential in policies seeking to transform the transport sector towards sustainability. Investment in the transport sector could lead to decreased morbidity and decreased monetary burden in the health care sector. Non-exhaust particles should be considered in order to fully assess the health economic effects of EVs. Moreover, the risk estimate of sick leaves in relation to air pollution exposure could be included in international HIAs.

Place, publisher, year, edition, pages
Umeå: Umeå Univeristet, 2022. p. 100
Series
Umeå University medical dissertations, ISSN 0346-6612 ; 2199
Keywords
active commuting, electric vehicles, air pollution, particle matter, physical activity, morbidity, mortality, health economic evaluation
National Category
Public Health, Global Health and Social Medicine
Research subject
Epidemiology; Public health; sustainable development
Identifiers
urn:nbn:se:umu:diva-198995 (URN)978-91-7855-869-8 (ISBN)978-91-7855-870-4 (ISBN)
Public defence
2022-09-23, Triple Helix, Universitetsledningshuset,, Umeå, 09:00 (English)
Opponent
Supervisors
Available from: 2022-09-02 Created: 2022-08-31 Last updated: 2025-02-20Bibliographically approved

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Kriit, Hedi KatreWennberg, PatrikForsberg, BertilNilsson Sommar, Johan

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