Epidemiological characteristics and meteorological factors of initial acute cerebral infarction / 公共卫生与预防医学

ABSTRACT

Objective To analyze the epidemiological characteristics of initial acute cerebral infarction (ACI) and its correlation with meteorological factors, and to provide theoretical basis for the prevention and treatment of ACI. Methods Atotal of 308 ACI patients admitted to our hospital from 2019 to 2020 were retrospectively analyzed, and the age, gender, height, weight, complications, onset season and initial symptoms of all patients were systematically analyzed from the hospital case system. Collected during the same period of meteorological data, including monthly average temperature (℃), monthly mean minimum temperature (℃), monthly average highest temperature (℃), monthly average diurnal range (℃), the average daily air pressure (kPa), etc., by using circular distribution analysis the season of incipient ACI onset regularity, the linear correlation analysis and multiple stepwise regression analysis of the relationship between meteorological factors and the incipient ACI onset. Results The male to female ratio of 308 patients was 1.151. A among of 55.84% of the patients were 65 years old or older and mainly lived in urban areas (77.27%). The main risk factors were hypertension (24.03%), followed by hyperlipidemia (24.03%). The incidence was mainly in winter (30.84%) and spring (26.62%). The first symptoms are headache, dizziness, unclear speech, followed by malignant, tinnitus, vomiting, hemiplegia, dysphagia, etc. The number of ACI cases was highest in January and December, and lowest in May and June.Linear correlation analysis showed that the number of ACI cases was negatively correlated with monthly mean air temperature, monthly mean minimum air temperature and monthly mean daily range ( r=-0.362 , -0.429, -0.374, P<0.05), and positively correlated with monthly mean air pressure ( r=0.317, P<0.05). The meteorological factors that affected the incidence of ACI were monthly mean minimum temperature, followed by monthly mean daily range (P<0.05). Conclusion Meteorological factors are the influencing factors of the incidence of initial ACI. The incidence of initial ACI is high under low temperature and high atmospheric pressure. Active intervention should be given to reduce the incidence.