Details

Autor(en) / Beteiligte

• Kriit, Hedi Katre
• Andersson, Eva M
• Carlsen, Hanne K
• Andersson, Niklas
• Ljungman, Petter L S
• Pershagen, Göran
• Segersson, David
• Eneroth, Kristina
• Gidhagen, Lars
• Spanne, Mårten
• Molnar, Peter
• Wennberg, Patrik
• Rosengren, Annika
• Rizzuto, Debora
• Leander, Karin
• Yacamán-Méndez, Diego
• Magnusson, Patrik K E
• Forsberg, Bertil
• Stockfelt, Leo
• Sommar, Johan N

Titel

Using Distributed Lag Non-Linear Models to Estimate Exposure Lag-Response Associations between Long-Term Air Pollution Exposure and Incidence of Cardiovascular Disease

Ist Teil von

• International journal of environmental research and public health, 2022, Vol.19 (5), p.2630

Ort / Verlag

Switzerland: MDPI AG

Erscheinungsjahr

2022

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• 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 (PM ) 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 PM total, BC, and IHD. However, for PM from local sources, a 20% risk increase per 1 µg/m for 1-year lag was estimated. A risk increase for stroke was suggested in relation to lags 2-4-year PM 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.