Association between PM2.5 Exposure and Cardiovascular and
Respiratory Hospital Admissions Using Spatial GIS Analysis

J 2022

Association between PM2.5 Exposure and Cardiovascular and Respiratory Hospital Admissions Using Spatial GIS Analysis

TOMASKOVA, Hana; Hana SLACHTOVA; Andrea DALECKÁ; Pavla POLAUFOVA; Jiri MICHALIK et al.

Základní údaje

Originální název

Association between PM2.5 Exposure and Cardiovascular and Respiratory Hospital Admissions Using Spatial GIS Analysis

Autoři

TOMASKOVA, Hana; Hana SLACHTOVA; Andrea DALECKÁ; Pavla POLAUFOVA; Jiri MICHALIK; Ivan TOMASEK a Anna SPLICHALOVA

Vydání

Atmosphere, MDPI, 2022, 2073-4433

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10511 Environmental sciences

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.900

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/22:00127463

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

PM2 5 spatial model; cardiovascular and respiratory hospital admissions; GIS analysis; Incidence Rate Ratio; iso-concentration shapes

Štítky

143180, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 20. 1. 2023 09:24, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

Particulate Matter (PM) air pollution is a serious concern in the northern Moravia region of the Czech Republic. This study aimed to evaluate the association between the risk of acute hospital admissions for cardiovascular (CVD) and respiratory diseases and PM2.5 concentrations using a geographic information system (GIS). The data on acute hospital admissions for cardiovascular (I00-99 according to ICD-10) and respiratory (J00-99) diseases was assigned to 77 geographical units (population of 601,299) based on the residence. The annual concentrations of PM2.5 in the period from 2013-2019 were assigned to these units according to the respective concentration iso-shapes. The Incidence Rate Ratio (IRR) and 95% confidence interval (CI) were calculated for each concentration category and then compared with the reference category. Statistical analyses were performed using SW STATA v.15. In 2013, approx. half of the population (56%) belonged to the PM2.5 category 34-35 mu g center dot m(-3), and 4% lived in PM2.5 concentrations >= 38 mu g center dot m(-3). During the analysed period, the average concentrations decreased from 30.8 to 21.4 mu g center dot m(-3). A statistically significant risk of acute hospitalization for CVD causes was identified in categories >= 36 mu g center dot m(-3), and for respiratory causes from 34-35 mu g center dot m(-3). With increasing concentrations, the risk of both acute cardiovascular and respiratory hospitalizations increased.

Citovat

TOMASKOVA, Hana; Hana SLACHTOVA; Andrea DALECKÁ; Pavla POLAUFOVA; Jiri MICHALIK; Ivan TOMASEK a Anna SPLICHALOVA. Association between PM2.5 Exposure and Cardiovascular and Respiratory Hospital Admissions Using Spatial GIS Analysis. Atmosphere. MDPI, 2022, roč. 13, č. 11, s. 1-10. ISSN 2073-4433. Dostupné z: https://doi.org/10.3390/atmos13111797.

@article{2239959,
   author = {Tomaskova, Hana and Slachtova, Hana and Dalecká, Andrea and Polaufova, Pavla and Michalik, Jiri and Tomasek, Ivan and Splichalova, Anna},
   article_number = {11},
   doi = {https://doi.org/10.3390/atmos13111797},
   keywords = {PM2 5 spatial model; cardiovascular and respiratory hospital admissions; GIS analysis; Incidence Rate Ratio; iso-concentration shapes},
   language = {eng},
   issn = {2073-4433},
   journal = {Atmosphere},
   title = {Association between PM2.5 Exposure and Cardiovascular and Respiratory Hospital Admissions Using Spatial GIS Analysis},
   url = {https://www.mdpi.com/2073-4433/13/11/1797},
   volume = {13},
   year = {2022}
}

TY  - JOUR
ID  - 2239959
AU  - Tomaskova, Hana - Slachtova, Hana - Dalecká, Andrea - Polaufova, Pavla - Michalik, Jiri - Tomasek, Ivan - Splichalova, Anna
PY  - 2022
TI  - Association between PM2.5 Exposure and Cardiovascular and Respiratory Hospital Admissions Using Spatial GIS Analysis
JF  - Atmosphere
VL  - 13
IS  - 11
SP  - 1-10
EP  - 1-10
PB  - MDPI
SN  - 20734433
KW  - PM2 5 spatial model
KW  - cardiovascular and respiratory hospital admissions
KW  - GIS analysis
KW  - Incidence Rate Ratio
KW  - iso-concentration shapes
UR  - https://www.mdpi.com/2073-4433/13/11/1797
N2  - Particulate Matter (PM) air pollution is a serious concern in the northern Moravia region of the Czech Republic. This study aimed to evaluate the association between the risk of acute hospital admissions for cardiovascular (CVD) and respiratory diseases and PM2.5 concentrations using a geographic information system (GIS). The data on acute hospital admissions for cardiovascular (I00-99 according to ICD-10) and respiratory (J00-99) diseases was assigned to 77 geographical units (population of 601,299) based on the residence. The annual concentrations of PM2.5 in the period from 2013-2019 were assigned to these units according to the respective concentration iso-shapes. The Incidence Rate Ratio (IRR) and 95% confidence interval (CI) were calculated for each concentration category and then compared with the reference category. Statistical analyses were performed using SW STATA v.15. In 2013, approx. half of the population (56%) belonged to the PM2.5 category 34-35 mu g center dot m(-3), and 4% lived in PM2.5 concentrations >= 38 mu g center dot m(-3). During the analysed period, the average concentrations decreased from 30.8 to 21.4 mu g center dot m(-3). A statistically significant risk of acute hospitalization for CVD causes was identified in categories >= 36 mu g center dot m(-3), and for respiratory causes from 34-35 mu g center dot m(-3). With increasing concentrations, the risk of both acute cardiovascular and respiratory hospitalizations increased.
ER  -

TOMASKOVA, Hana; Hana SLACHTOVA; Andrea DALECKÁ; Pavla POLAUFOVA; Jiri MICHALIK; Ivan TOMASEK a Anna SPLICHALOVA. Association between PM2.5 Exposure and Cardiovascular and Respiratory Hospital Admissions Using Spatial GIS Analysis. \textit{Atmosphere}. MDPI, 2022, roč.~13, č.~11, s.~1-10. ISSN~2073-4433. Dostupné z: https://doi.org/10.3390/atmos13111797.

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