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Introduction and Objective.There is a well-reported association between temperature and the relative risk (RR) of cardiovascular disease (CVD) in urban areas in China. However, insufficient research has been performed in rural areas. The aim of the study was to analyze the association between apparent temperature (AT) and the RR of CVD hospital admissions in rural areas of Pingliang, northwest China. Materials and method. Daily data and weather conditions were collected in Pingliang from 2014-2015. The median value of AT was selected to estimate the RR of CVD, and the distributed lag nonlinear model (DLNM) used to examine the relationship between AT and the RR of CVD admissions for up to 21 days. Results. The results showed a nonlinear relationship between AT and the RR of CVD admissions. Regarding the heat effect, there was a protective effect. Meanwhile, the cold effect on the RR of CVD admissions appeared at day 0 and persisted until day 21, resulting in a cumulative RR of 2.304 (95%CI: 1.809-2.936) compared with the median value of AT, and the maximum RR appeared at about -5 °.The cumulative RR values of CVD on men and adults were more sensitive than those on women and elders in the cold effect. Conclusions. AT is associated with the hospitalization of CVD patients. Both gender and age factors were associated with the increase in RR of CVD admissions. More preventive measures should be taken to avoid this adverse effect.

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Background Diurnal temperature range (DTR) has been widely applied in exploring its effect on cardiovascular disease (CVD). However, few studies have investigated the correlations between DTR and CVD in poor rural areas in China. This study aimed to examine the association between DTR and CVD in rural China. Methods A distributed lag nonlinear model was used to evaluate the relationship between DTR and CVD risk among farmers living in the city of Dingxi (Northwest China) in the period from January 1, 2016 to December 31, 2019. Results We observed nonlinear M-patterns between the relative risk (RR) of DTR (reference: median DTR, 12 °C) and CVD hospitalizations in all subgroups. The peak RR of CVD was noticed at DTR of 6 °C (total: 1.418; men: 1.546; women: 1.403; young: 1.778; old: 2.549) and 17 °C (total: 1.781; men: 1.937; women: 1.712; young: 2.233; old: 1.798). The adverse effect of DTR on CVD risk was more pronounced in females (RR 1.438) and elderly (RR 2.034) than males (RR 1.141) and younger adults (RR 1.852) at the extremely low (5th, 4 °C) DTR. The reverse was observed at the extremely high DTR (95th, 19 °C) (male: 1.267; females: 0.993; young: 1.586; old: 1.212). Conclusions DTR is associated with CVD morbidity. This association was more pronounced in women and elderly, but men and younger peoples at extremely high DTR (19 °C). Future measures should take DTR into account to prevent CVD among susceptible populations.

BackgroundApparent temperature (AT) and diurnal temperature range (DTR) have been extensively used to evaluate the effects of temperature on cardiovascular disease (CVD). However, few studies have analyzed and compared their effects on CVD in less-developed, rural areas of China. Methods A case-only analysis was conducted of 43,567 cases of CVD morbidity in Qingyang (Northwest China) in 2011-2017 and the effects of thermal indicators were assessed using distributed lag nonlinear modelling and a Poisson regression model. Data on 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. ResultsBoth AT and DTR had signi cant nonlinear and delayed impacts on hospital admissions for CVD. DTR had a stronger and more persistent effect on CVD incidence than AT. Women were more affected by high AT and low DTR than were men, while men were more vulnerable to low AT and high DTR. Temperature effects were not signi cantly different between people above and below 65 years of age. ConclusionsThese ndings provide local public health authorities with reference data concerning sensitive temperature indices for susceptible populations with a view to improving CVD preventive strategies in rural areas.