JOEM: Time Series Analysis of the Acute Effect (September 2023)-JOEM: Time Series Analysis of the Acute Effect (September 2023)

JOEM: Time Series Analysis of the Acute Effect (September 2023)

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This study investigated the correlation between environmental PM2.5 (fine particulate matter) and hospitalization for heart failure in Lanzhou, China. The researchers used a distributed lag nonlinear model to evaluate the correlation. A total of 16,122 heart failure patients were hospitalized during the study period, and the average concentration of PM2.5 was 45.24 μg/m3. The results showed that PM2.5 was positively correlated with heart failure hospitalization with single and cumulative lags. The maximum lag effect was observed at lag03, where a 10 μg/m3 increase in PM2.5 concentration led to a 1.023 increase in heart failure hospitalization risk. The risk was more significant in the male group, the age group 65 years or older, and the cold season. The study concluded that PM2.5 exposure increases the risk of heart failure admission in Lanzhou.<br /><br />Heart failure is a prevalent disease with a high risk of death and a substantial economic burden. Air pollution, particularly PM2.5, has been shown to have a negative impact on heart failure. PM2.5 is a major air pollutant with small particle size and long residence time in the atmosphere. It is extremely harmful to human health and is a major risk factor for global disease burden. Previous studies conducted in developed countries have also found a correlation between acute exposure to PM2.5 and the onset of heart failure or hospitalization.<br /><br />This study focused on Lanzhou, China, which has high levels of air pollution due to rapid urbanization and economic development. The study area included four main urban areas of Lanzhou, and data on hospitalization for heart failure, air pollutant concentrations, and meteorological factors were collected for analysis.<br /><br />The results of the study provide evidence that PM2.5 exposure is associated with an increased risk of hospitalization for heart failure in Lanzhou, China. The findings highlight the importance of reducing PM2.5 pollution and implementing measures to protect vulnerable populations, such as the elderly and men, from the adverse effects of air pollution.

Keywords

correlation

PM2.5

hospitalization

heart failure

Lanzhou

China

exposure

risk

air pollution

vulnerable populations