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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Introduction and Objective.Although it has previously been shown that temperature is associated with cardiovascular disease, no investigations exploring the association between apparent temperature (AT) and hypertension in farmers in Zhangye and Longnan, Gansu Province, China, have been undertaken. As hypertension is a commonly known risk factor for cardiovascular disease, the relationship between apparent temperature (AT) and hypertension is examined in Zhangye and Longnan to provide advice to local governments on preventive measures. Materials and method. Daily data and weather conditions were collected in Zhangye and Longnan from 2014-2015. The Poisson generalized linear model and the distributed lag nonlinear model (DLNM) were combined to investigate the relationship between AT and hypertension in hospital admissions in the study areas. Results. A non-linear relationship between AT and hypertension in hospital admissions in both Zhangye and Longnan were recorded. The cold effects were stronger in Zhangye than that in Longnan for both study group and subgroups. The heat effects were more deleterious for the entire study group, female subgroup and adult subgroup in Longnan, but stronger for the male subgroup and elderly subgroup in Zhangye. Conclusions. This investigation indicates that AT has adverse impacts on hypertension hospital admissions in Zhangye and Longnan, especially under low AT exposure levels. The results from this study may promote the formulation of further prevention measures for hypertension disease.