Indicators of residential traffic exposure: Modelled NO X , traffic proximity, and self-reported exposure in RHINE III

• Published in: Atmospheric Environment
• Main Authors: Carlsen, Hanne Krage, Bäck, Erik, Eneroth, Kristina, Gislason, Thorarinn, Holm, Mathias, Janson, Christer, Jensen, Steen Solvang, Johannessen, Ane, Kaasik, Marko, Modig, Lars, Segersson, David, Sigsgaard, Torben, Forsberg, Bertil, Olsson, David, Orru, Hans
• Other Authors: 1 Umea Univ, Dept Publ Hlth & Clin Med, Occupat & Environm Med, Umea, Sweden Show the Organization-Enhanced name(s) 2 Univ Iceland, Engn & Nat Sci, Reykjavik, Iceland Show the Organization-Enhanced name(s) 3 Univ Gothenburg, Inst Med, Sect Occupat & Environm Med, Dept Publ Hlth & Community Med,Sahlgrenska Acad, Gothenburg, Sweden 4 Environm Adm, Gothenburg, Sweden 5 Environm & Hlth Adm, Stockholm, Sweden Show the Organization-Enhanced name(s) 6 Univ Iceland, Fac Med, Reykjavik, Iceland 7 Landspitali Natl Univ Hosp Iceland, Dept Resp Med & Sleep, Reykjavik, Iceland 8 Uppsala Univ, Dept Med Sci Resp Allergy & Sleep Res, Uppsala, Sweden Show the Organization-Enhanced name(s) 9 Aarhus Univ, Dept Environm Sci, Roskilde, Denmark Show the Organization-Enhanced name(s) 10 Univ Bergen, Dept Global Publ Hlth & Primary Care, Bergen, Norway Show the Organization-Enhanced name(s) 11 Univ Tartu, Inst Phys, Tartu, Estonia Show the Organization-Enhanced name(s) 12 Umea Univ, Div Occupat & Environm Med, Dept Publ Hlth & Clin Med, Umed, Sweden 13 Swedish Meteorol & Hydrol Inst, Norrkoping, Sweden Show the Organization-Enhanced name(s) 14 Aarhus Univ, Dept Publ Hlth, Aarhus, Denmark Show the Organization-Enhanced name(s) 15 Univ Tartu, Dept Family Med & Publ Hlth, Tartu, Estonia
• Format: Article in Journal/Newspaper
• Language: English
• Published: Pergamon Elsevier Science 2017
• Subjects: Loftmengun; Hávaðamengun; Mengun; Bílar; Umferðarmannvirki; PAD12; Air Pollution; Motor Vehicles; Noise; Bergen; Norway; Iceland
• Online Access: http://hdl.handle.net/2336/620349; https://doi.org/10.1016/j.atmosenv.2017.08.015

To access publisher's full text version of this article click on the hyperlink below Few studies have investigated associations between self-reported and modelled exposure to traffic pollution. The objective of this study was to examine correlations between self-reported traffic exposure and modelled (a) NOx and (b) traffic proximity in seven different northern European cities; Aarhus (Denmark), Bergen (Norway), Gothenburg, Ulna and Uppsala (Sweden), Reykjavik (Iceland), and Tartu (Estonia). We analysed data from the RHINE III (Respiratory Health in Northern Europe, www.rhine.nu) cohorts of the seven study cities. Traffic proximity (distance to the nearest road with >10,000 vehicles per day) was calculated and vehicle exhaust (NOx) was modelled using dispersion models and land-use regression (LUR) data from 2011. Participants were asked a question about self-reported traffic intensity near bedroom window and another about traffic noise exposure at the residence. The data were analysed using rank correlation (Kendall's tau) and inter-rater agreement (Cohen's Kappa) between tertiles of modelled NOx and traffic proximity tertile and traffic proximity categories (0-150 metres (m), 150 -200 m, >300 m) in each centre. Data on variables of interest were available for 50-99% of study participants per each cohort. Mean modelled NOx levels were between 6.5 and 16.0 mu g/m(3); median traffic intensity was between 303 and 10,750 m in each centre. In each centre, 7.7-18.7% of respondents reported exposure to high traffic intensity and 3.6-16.3% of respondents reported high exposure to traffic noise. Self-reported residential traffic exposure had low or no correlation with modelled exposure and traffic proximity in all centres, although results were statistically significant (tau = 0.057-0.305). Self reported residential traffic noise correlated weakly (tau = 0.090-0.255), with modelled exposure in all centres except Reykjavik. Modelled NOx\] had the highest correlations between self-reported and modelled traffic ...