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1.	Chen, J, et al. (author) Long-Term Exposure to Fine Particle Elemental Components and Natural and Cause-Specific Mortality-a Pooled Analysis of Eight European Cohorts within the ELAPSE Project 2021 In: Environmental health perspectives. - 1552-9924. ; 129:4, s. 47009- Journal article (peer-reviewed)
2.	Stafoggia, M, et al. (author) Long-term exposure to low ambient air pollution concentrations and mortality among 28 million people: results from seven large European cohorts within the ELAPSE project 2022 In: The Lancet. Planetary health. - 2542-5196. ; 6:1, s. e9-e18 Journal article (peer-reviewed)
3.	Wolf, K, et al. (author) Long-term exposure to low-level ambient air pollution and incidence of stroke and coronary heart disease: a pooled analysis of six European cohorts within the ELAPSE project 2021 In: The Lancet. Planetary health. - 2542-5196. ; 5:9, s. E620-E632 Journal article (peer-reviewed)
4.	Bereziartua, A, et al. (author) Exposure to surrounding greenness and natural-cause and cause-specific mortality in the ELAPSE pooled cohort 2022 In: Environment international. - : Elsevier BV. - 1873-6750 .- 0160-4120. ; 166, s. 107341- Journal article (peer-reviewed)
5.	Brunekreef, B, et al. (author) Mortality and Morbidity Effects of Long-Term Exposure to Low-Level PM2.5, BC, NO2, and O3: An Analysis of European Cohorts in the ELAPSE Project 2021 In: Research report (Health Effects Institute). - 1041-5505. ; :208, s. 1-127 Journal article (peer-reviewed)
6.	Chen, J, et al. (author) Long-term exposure to ambient air pollution and bladder cancer incidence in a pooled European cohort: the ELAPSE project 2022 In: British journal of cancer. - 1532-1827. Journal article (peer-reviewed)
7.	Samoli, E, et al. (author) Modeling multi-level survival data in multi-center epidemiological cohort studies: Applications from the ELAPSE project 2021 In: Environment international. - : Elsevier BV. - 1873-6750 .- 0160-4120. ; 147, s. 106371- Journal article (peer-reviewed)
8.	Thacher, Jesse D., et al. (author) Occupational noise exposure and risk of incident stroke: a pooled study of five Scandinavian cohorts 2022 In: OCCUPATIONAL AND ENVIRONMENTAL MEDICINE. - : BMJ. - 1351-0711 .- 1470-7926. ; 79:9, s. 594-601 Journal article (peer-reviewed)abstract Objectives To investigate the association between occupational noise exposure and stroke incidence in a pooled study of five Scandinavian cohorts (NordSOUND). Methods We pooled and harmonised data from five Scandinavian cohorts resulting in 78 389 participants. We obtained job data from national registries or questionnaires and recoded these to match a job-exposure matrix developed in Sweden, which specified the annual average daily noise exposure in five exposure classes (L-Aeq8h): <70, 70-74, 75-79, 80-84, >= 85 dB(A). We identified residential address history and estimated 1-year average road traffic noise at baseline. Using national patient and mortality registers, we identified 7777 stroke cases with a median follow-up of 20.2 years. Analyses were conducted using Cox proportional hazards models adjusting for individual and area-level potential confounders. Results Exposure to occupational noise at baseline was not associated with overall stroke in the fully adjusted models. For ischaemic stroke, occupational noise was associated with HRs (95% CI) of 1.08 (0.98 to 1.20), 1.09 (0.97 to 1.24) and 1.06 (0.92 to 1.21) in the 75-79, 80-84 and >= 85 dB(A) exposure groups, compared with <70 dB(A), respectively. In subanalyses using time-varying occupational noise exposure, we observed an indication of higher stroke risk among the most exposed (>= 85 dB(A)), particularly when restricting analyses to people exposed to occupational noise within the last year (HR: 1.27; 95% CI: 0.99 to 1.63). Conclusions We found no association between occupational noise and risk of overall stroke after adjustment for confounders. However, the non-significantly increased risk of ischaemic stroke warrants further investigation.
9.	Chen, J, et al. (author) A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide 2019 In: Environment international. - : Elsevier BV. - 1873-6750 .- 0160-4120. ; 130, s. 104934- Journal article (peer-reviewed)
10.	Chen, J, et al. (author) Development of Europe-Wide Models for Particle Elemental Composition Using Supervised Linear Regression and Random Forest 2020 In: Environmental science & technology. - : American Chemical Society (ACS). - 1520-5851 .- 0013-936X. ; 54:24, s. 15698-15709 Journal article (peer-reviewed)

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Result 1-10 of 31

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Type of publication: journal article (31)

Type of content: peer-reviewed (31)

Author/Editor: Hvidtfeldt, UA (23); Ketzel, M (23); Bellander, T (22); Chen, J. (22); Wolf, K (22); Brunekreef, B (22); show more...; Samoli, E (22); Strak, M (22); de Hoogh, K (22); Gulliver, J (22); Stafoggia, M (22); Hoek, G (22); Katsouyanni, K (21); Hoffmann, B. (20); Pershagen, G (20); Andersen, ZJ (20); Weinmayr, G (20); Forastiere, F (19); Nagel, G (19); Raaschou-Nielsen, O (19); Brandt, J (19); Fecht, D (19); Hertel, O (19); Rizzuto, D (18); Magnusson, PKE (16); Leander, K (16); Zitt, E (15); Rodopoulou, S (15); Peters, A (13); Liu, S. (12); Ljungman, P (11); Severi, G (11); Tjonneland, A (9); Sorensen, M (9); Schramm, S. (8); Lager, A (8); van der Schouw, YT (8); Bauwelinck, M (8); Vienneau, D (8); Jorgensen, JT (7); Verschuren, WMM (7); Boutron-Ruault, MC (6); So, R (6); Renzi, M (6); Sigsgaard, T. (5); Tjønneland, A (5); Jockel, KH (5); Concin, H (5); Vermeulen, R. (5); Oftedal, B (5); show less...

University: Karolinska Institutet (28); Stockholm University (4); University of Gothenburg (3); Umeå University (3); Lund University (3)

Language: English (31)

Research subject (UKÄ/SCB): Medical and Health Sciences (7); Natural sciences (1)

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