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Natural-cause mortality and long-term exposure to particle components: An analysis of 19 European cohorts within the multi-center ESCAPE project.
Environ. Health Perspect. 123, 525-533 (2015)
BACKGROUND: Studies have shown associations between mortality and long-term exposure to particulate matter air pollution. Few cohort studies have estimated the effects of the elemental composition of particulate matter on mortality. OBJECTIVES: Our aim was to study the association between natural cause mortality and long-term exposure to elemental components of particulate matter. METHODS: Mortality and confounder data from 19 European cohort studies were used. Residential exposure to eight a priori selected components of particulate matter (PM) was characterized following a strictly standardized protocol. Annual average concentrations of Copper (Cu), Iron (Fe), Potassium (K), Nickel (Ni), Sulfur (S), Silicon (Si), Vanadium (V) and Zinc (Zn) within PM size fractions <2.5 µm (PM2.5) and <10 µm (PM10) were estimated using land-use regression models. Cohort-specific statistical analyses of the associations between mortality and air pollution were conducted using Cox proportional hazards models using a common protocol followed by meta-analysis. RESULTS: The total study population consisted of 291,816 participants, of which 25,466 died from a natural cause during follow-up (average time of follow-up 14.3 years). Hazard ratios were positive for almost all elements and statistically significant for PM2.5 S (1.14; 95% CI: 1.06, 1.23 per 200 ng/m(3)). In a two-pollutant model, the association with PM2.5 S was robust to adjustment for PM2.5 mass, whereas the association with PM2.5 mass was reduced. CONCLUSIONS: Long-term exposure to PM2.5 S was associated with natural cause mortality. This association was robust to adjustment for other pollutants and PM2.5.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
7.977
2.255
83
101
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Review
Schlagwörter
Use Regression-models; Particulate Air-pollution; Great-britain; No2; Matter; Association; Areas; Metaanalysis; Stability; Dioxide
Sprache
englisch
Veröffentlichungsjahr
2015
HGF-Berichtsjahr
2015
ISSN (print) / ISBN
0091-6765
e-ISSN
1552-9924
Zeitschrift
Environmental Health Perspectives
Quellenangaben
Band: 123,
Heft: 6,
Seiten: 525-533
Verlag
Research Triangle Park
Verlagsort
NC [u.a.]
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)
POF Topic(s)
30202 - Environmental Health
30503 - Chronic Diseases of the Lung and Allergies
30503 - Chronic Diseases of the Lung and Allergies
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-001
G-503900-001
G-503900-001
PubMed ID
25712504
WOS ID
WOS:000357296200012
Scopus ID
84930532752
Erfassungsdatum
2015-04-05