Short-term Exposure to PM1 and Total and Specific Mortality in the Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71009396%3A_____%2F24%3AN0000008" target="_blank" >RIV/71009396:_____/24:N0000008 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61988987:17110/24:A2503AMS

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-031-51904-8_241" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-51904-8_241</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-51904-8_241" target="_blank" >10.1007/978-3-031-51904-8_241</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Short-term Exposure to PM1 and Total and Specific Mortality in the Czech Republic

Popis výsledku v původním jazyce

The highest concentrations of PM (particulate matter) in the Czech Republic are in the region of Ostrava and Karvina. One of the objectives of the project is to analyze the impact of ambient fine particles (PM1) on total and specific mortality for cardiovascular and respiratory causes in Ostrava. In the period 2018–2019, there were total (excluding S00-T98 and V01-Y98 according to ICD-10) of 7191 deaths, from these 3035 were cardiovascular (I00-99) and 536 respiratory causes (J00-99) of deaths in Ostrava (around 320,000 inhabitants). The daily PM1 concentrations were measured at three measurement stations. The generalized additive model (GAM) for Poisson distribution was used for the analyses; the “thin plate regression spline” was applied to smooth the pressure, relative humidity and an air temperature. The model was adjusted for meteorological conditions, incidence of acute respiratory infections, days off, the order of a day in a week. The calculations were done for lag0 to lag3 days. The results are presented as a % change in mortality per 10 μg m−3 PM1 with 95% confidence intervals (CI). The analyses were completed using the SW Stata v.14 and SW R v.3.6.1 with the use of mgcv package v.1.8-28. The annual PM1 values ranged from 17.9 to 27.1 μg m−3. Based on the fully adjusted model, a 10 μg m−3 increase of PM1 was significantly associated with an increased total mortality by 1.2% (95% CI: 0.0–2.4%) for lag1, cardiovascular mortality by 1.8% (95% CI: 0.1–3.6%) for lag1 and 1.7% (95% CI: 0.0–3.4%) for lag3 and respiratory mortality by 4.3% (95% CI: 1.0–7.6%) for lag3.The analyses brought new knowledge about the effect of ambient fine particulates (PM1) on a total and specific mortality for cardiovascular and respiratory causes in the Ostrava region. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Název v anglickém jazyce

Short-term Exposure to PM1 and Total and Specific Mortality in the Czech Republic

Popis výsledku anglicky

The highest concentrations of PM (particulate matter) in the Czech Republic are in the region of Ostrava and Karvina. One of the objectives of the project is to analyze the impact of ambient fine particles (PM1) on total and specific mortality for cardiovascular and respiratory causes in Ostrava. In the period 2018–2019, there were total (excluding S00-T98 and V01-Y98 according to ICD-10) of 7191 deaths, from these 3035 were cardiovascular (I00-99) and 536 respiratory causes (J00-99) of deaths in Ostrava (around 320,000 inhabitants). The daily PM1 concentrations were measured at three measurement stations. The generalized additive model (GAM) for Poisson distribution was used for the analyses; the “thin plate regression spline” was applied to smooth the pressure, relative humidity and an air temperature. The model was adjusted for meteorological conditions, incidence of acute respiratory infections, days off, the order of a day in a week. The calculations were done for lag0 to lag3 days. The results are presented as a % change in mortality per 10 μg m−3 PM1 with 95% confidence intervals (CI). The analyses were completed using the SW Stata v.14 and SW R v.3.6.1 with the use of mgcv package v.1.8-28. The annual PM1 values ranged from 17.9 to 27.1 μg m−3. Based on the fully adjusted model, a 10 μg m−3 increase of PM1 was significantly associated with an increased total mortality by 1.2% (95% CI: 0.0–2.4%) for lag1, cardiovascular mortality by 1.8% (95% CI: 0.1–3.6%) for lag1 and 1.7% (95% CI: 0.0–3.4%) for lag3 and respiratory mortality by 4.3% (95% CI: 1.0–7.6%) for lag3.The analyses brought new knowledge about the effect of ambient fine particulates (PM1) on a total and specific mortality for cardiovascular and respiratory causes in the Ostrava region. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30304 - Public and environmental health

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Science, Technology & Innovation : Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (EMCEI 2022)

ISBN

978-303151903-1

ISSN

2522-8714

e-ISSN

2522-8722

Počet stran výsledku

4

Strana od-do

1107 - 1110

Název nakladatele

Springer Nature

Místo vydání

Switzerland

Místo konání akce

Tunisia

Datum konání akce

1. 10. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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