King's College London

Research portal

On the association between daily mortality and air mass types in Athens, Greece during winter and summer

Research output: Contribution to journalArticle

Standard

On the association between daily mortality and air mass types in Athens, Greece during winter and summer. / Kassomenos, Pavlos A.; Gryparis, Alexandros; Katsouyanni, Klea.

In: International Journal of Biometeorology, Vol. 51, No. 4, N/A, 03.2007, p. 315-322.

Research output: Contribution to journalArticle

Harvard

Kassomenos, PA, Gryparis, A & Katsouyanni, K 2007, 'On the association between daily mortality and air mass types in Athens, Greece during winter and summer', International Journal of Biometeorology, vol. 51, no. 4, N/A, pp. 315-322. https://doi.org/10.1007/s00484-006-0062-7

APA

Kassomenos, P. A., Gryparis, A., & Katsouyanni, K. (2007). On the association between daily mortality and air mass types in Athens, Greece during winter and summer. International Journal of Biometeorology, 51(4), 315-322. [N/A]. https://doi.org/10.1007/s00484-006-0062-7

Vancouver

Kassomenos PA, Gryparis A, Katsouyanni K. On the association between daily mortality and air mass types in Athens, Greece during winter and summer. International Journal of Biometeorology. 2007 Mar;51(4):315-322. N/A. https://doi.org/10.1007/s00484-006-0062-7

Author

Kassomenos, Pavlos A. ; Gryparis, Alexandros ; Katsouyanni, Klea. / On the association between daily mortality and air mass types in Athens, Greece during winter and summer. In: International Journal of Biometeorology. 2007 ; Vol. 51, No. 4. pp. 315-322.

Bibtex Download

@article{8d9471917e7e4c7dade02100ee777899,
title = "On the association between daily mortality and air mass types in Athens, Greece during winter and summer",
abstract = "In this study, we examined the short-term effects of air mass types on mortality in Athens, Greece. An objective air mass types classification was used, based on meteorological parameters measured at the surface. Mortality data were treated with generalized additive models (GAM) and extending Poisson regression, using a LOESS smoother to control for the confounding effects of seasonal patterns, adjusting also for temperature, long-term trends, day of the week, and ambient particle concentrations. The introduced air mass classification explains the daily variation of mortality to a statistically significant degree. The highest daily mortality was observed on days characterized by southerly flow conditions for both the cold (increase in relative risk for mortality 9%; with a 95% confidence interval: 3–14%), and the warm period (7%; with a 95% confidence interval: 2–13%) of the year. The northeasterly flow is associated with the lowest mortality. Effects on mortality, independent of temperature, are observed mainly for lag 0 during the cold period, but persist longer during the warm period. Not adjusting for temperature and/or ambient particle levels slightly alters the results, which then reflect the known temperature and particle effects, already reported in the literature. In conclusion, we find that air mass types have independent effects on mortality for both the cold and warm season and may be used to predict weather-related adverse health effects.",
author = "Kassomenos, {Pavlos A.} and Alexandros Gryparis and Klea Katsouyanni",
year = "2007",
month = mar,
doi = "10.1007/s00484-006-0062-7",
language = "English",
volume = "51",
pages = "315--322",
journal = "International Journal of Biometeorology",
issn = "0020-7128",
publisher = "Springer New York",
number = "4",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - On the association between daily mortality and air mass types in Athens, Greece during winter and summer

AU - Kassomenos, Pavlos A.

AU - Gryparis, Alexandros

AU - Katsouyanni, Klea

PY - 2007/3

Y1 - 2007/3

N2 - In this study, we examined the short-term effects of air mass types on mortality in Athens, Greece. An objective air mass types classification was used, based on meteorological parameters measured at the surface. Mortality data were treated with generalized additive models (GAM) and extending Poisson regression, using a LOESS smoother to control for the confounding effects of seasonal patterns, adjusting also for temperature, long-term trends, day of the week, and ambient particle concentrations. The introduced air mass classification explains the daily variation of mortality to a statistically significant degree. The highest daily mortality was observed on days characterized by southerly flow conditions for both the cold (increase in relative risk for mortality 9%; with a 95% confidence interval: 3–14%), and the warm period (7%; with a 95% confidence interval: 2–13%) of the year. The northeasterly flow is associated with the lowest mortality. Effects on mortality, independent of temperature, are observed mainly for lag 0 during the cold period, but persist longer during the warm period. Not adjusting for temperature and/or ambient particle levels slightly alters the results, which then reflect the known temperature and particle effects, already reported in the literature. In conclusion, we find that air mass types have independent effects on mortality for both the cold and warm season and may be used to predict weather-related adverse health effects.

AB - In this study, we examined the short-term effects of air mass types on mortality in Athens, Greece. An objective air mass types classification was used, based on meteorological parameters measured at the surface. Mortality data were treated with generalized additive models (GAM) and extending Poisson regression, using a LOESS smoother to control for the confounding effects of seasonal patterns, adjusting also for temperature, long-term trends, day of the week, and ambient particle concentrations. The introduced air mass classification explains the daily variation of mortality to a statistically significant degree. The highest daily mortality was observed on days characterized by southerly flow conditions for both the cold (increase in relative risk for mortality 9%; with a 95% confidence interval: 3–14%), and the warm period (7%; with a 95% confidence interval: 2–13%) of the year. The northeasterly flow is associated with the lowest mortality. Effects on mortality, independent of temperature, are observed mainly for lag 0 during the cold period, but persist longer during the warm period. Not adjusting for temperature and/or ambient particle levels slightly alters the results, which then reflect the known temperature and particle effects, already reported in the literature. In conclusion, we find that air mass types have independent effects on mortality for both the cold and warm season and may be used to predict weather-related adverse health effects.

U2 - 10.1007/s00484-006-0062-7

DO - 10.1007/s00484-006-0062-7

M3 - Article

VL - 51

SP - 315

EP - 322

JO - International Journal of Biometeorology

JF - International Journal of Biometeorology

SN - 0020-7128

IS - 4

M1 - N/A

ER -

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454