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Time series analysis of meteorological factors and air pollutants and their association with hospital admissions for acute myocardial infarction in Korea.

Abstract：

BACKGROUND:We assessed the association between multiple meteorological factors and air pollutants and the number of acute myocardial infarction (AMI) cases using a multi-step process. METHODS:Daily AMI hospitalizations matched with 16 meteorological factors and air pollutants in 7 metropolitan provinces of the Republic of Korea from 2002 to 2017 were analyzed. We chose the best fit model after conducting the Granger causality (GC) test and examined the daily lag time effect on the orthogonalized impulse response functions. To define dose-response relationships, we performed a time series analysis using multiple generalized additive lag models based on seasons. RESULTS:A total of 196,762 cases of AMI in patients older than 20 years admitted for hospitalization were identified. The distribution of meteorological factors and air pollutants showed characteristics of a temperate climate. The GC test revealed a complex interaction between meteorological factors, including air pollutants, and AMI. The final selected factors were NO2 and temperature; these increased the incidence of AMI on lag day 4 during summer (NO2: population-attributable fraction [PAF], 3.9%; 95% confidence interval [CI], 3.6-4.0; mean temperature: PAF, 3.3%; 95% CI, 2.7-3.9). CONCLUSIONS:This multi-step time series analysis found that average temperature and NO2 are the most important factors impacting AMI hospitalizations, specifically during summer. Based on the model, we were able to visualize the effect-time association of meteorological factors and air pollutants and AMI.

journal_name

Int J Cardiol

journal_title

International journal of cardiology

authors

Kim A,Jung J,Hong J,Yoon SJ

doi

10.1016/j.ijcard.2020.08.060

subject

Has Abstract

pub_date

2021-01-01 00:00:00

pages

220-226

eissn

0167-5273

issn

1874-1754

pii

S0167-5273(20)33643-3

journal_volume

322

pub_type

杂志文章

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