Abstract
Climate change is increasing the incidence of extreme weather events which have a significant impact on public health. Cardiovascular diseases (CVDs) are the number one cause of death globally (40%). Apparent temperature (AT) and diurnal temperature range (DTR) have been extensively used to evaluate the effects of temperature on cardiovascular disease (CVD). However, the relevant information is quite limited from analysis and comparison of effects and differing pathogenesis of DTR and AT on CVD especially in less-developed, rural areas of China. This is the first attempt to analyze different effects between AT and DTR on CVD using distributed lag nonlinear modeling (DLNM) in rural area. Data on CVD hospital admission in Qingyang (Northwest China) in 2014-2017 originated from the New Rural Cooperative Medical System (NRCMS) of Gansu Province, and meteorological variables were provided by the Meteorological Science Data Sharing Service. Both AT and DTR had significant nonlinear and delayed impacts on hospital admissions for CVD. DTR had a stronger and more persistent effect on CVD incidence than AT. Females were more affected by high AT and low DTR than were males, while males were more vulnerable to low AT and high DTR. Temperature effects were not significantly different between people above and below 65years of age. These findings provide local public health authorities with reference concerning sensitive temperature indices for susceptible populations with a view to improve CVD preventive strategies in rural areas.
Highlights
Climate change is increasing the incidence of extreme weather events which have a significant impact on public health [1]
Data on cardiovascular disease (CVD) morbidity originated from the New Rural Cooperative Medical Insurance of Gansu Province and meteorological variables were provided by the Meteorological Science Data Sharing Service
Women were more affected by high Apparent temperature (AT) and low diurnal temperature range (DTR) than were men, while men were more vulnerable to low AT and high DTR
Summary
Climate change is increasing the incidence of extreme weather events which have a significant impact on public health [1]. It was well-established that extreme weather events are one of the most important factors leading to increased morbidity and mortality [2, 3]. Diurnal temperature range (DTR) is generally used to evaluate temperature impacts on CVD. In China [12, 13], Korea [14] and USA [15] DTR was found to have nonlinear relationships with CVD morbidity and mortality. Apparent temperature (AT) and diurnal temperature range (DTR) have been extensively used to evaluate the effects of temperature on cardiovascular disease (CVD). Few studies have analyzed and compared their effects on CVD in less-developed, rural areas of China
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