Correlation between cardiovascular and cerebrovascular diseases and temperature in residents of Yuanbao district of Dandong city,2017-2021
Objective To understand the correlation between atmospheric temperature and cardiovascular and cerebrovascular diseases in local residents of Yuanbao district,Dandong city from 2017 to 2021.Methods The cardiovascular and cerebrovascular incidence data of local residents and the related air temperature and pressure data during 2017 to 2021 were collected.The basic situation of meteorological factors and cardiovascular and cerebrovascular diseases were described,and the correlation between temperature and cardiovascular and cerebrovascular diseases was analyzed by Spearman rank correlation,the exposure-response-lag relationship between temperature and cardiovascular and cerebrovascular disease analyzed through constructed a linear model of distribution lag.Results There were negative correlations between cardiovascular and cerebrovascular diseases and maximum temperature,hemorrhagic stroke and daily average temperature,and heart disease and daily mean air pressure.When the average daily temperature was in the range of-13.3-9.5 ℃,the risk of hemorrhagic stroke increased,and when the temperature was-13.3 ℃,the RR value was the maximum of 14.00(95％CI:1.01-193.77).The average daily temperature in the range of-8-2.3 ℃ was a risk factor for hemorrhagic stroke in men.The average daily temperature above 14.8 ℃ was a protective factor for hemorrhagic stroke in women.The relative risk of cardiovascular and cerebrovascular diseases at low temperature reached a maximum in lag2,which was 1.04(95％CI:0.94-1.16).The relative risk of lag7 at high temperature was the largest,1.02(95％CI:0.96-1.08),but none of them were statistically significant.Conclusion When the average daily temperature is low,the residents of Yuanbao district of Dandong city have an increased risk of hemorrhagic stroke,and keeping warm in winter and spring should be taken for the prevention of hemorrhagic stroke.
Cardiovascular and cerebrovascularStrokeTemperatureDistribution lag nonlinear model
NETL
NSTL
万方数据
