Currently, the correlation between ambient temperature and systemic lupus erythematosus (SLE) hospital admissions remains not determined. The aim of this study was to explore the correlation between ambient temperature and SLE hospital admissions in Hefei City, China. An ecological study design was adopted. Daily data on SLE hospital admissions in Hefei City, from January 1, 2007, to December 31, 2017, were obtained from the two largest tertiary hospitals in Hefei, and the daily meteorological data at the same period were retrieved from China Meteorological Data Network. The generalized additive model (GAM) combined with distributed lag nonlinear model (DLNM) with Poisson link was applied to evaluate the influence of ambient temperature on SLE hospital admissions after controlling for potential confounding factors, including seasonality, relative humidity, day of week, and long-term trend. There were 1658 SLE hospital admissions from 2007 to 2017, including 370 first admissions and 1192 re-admissions (there were 96 admissions with admission status not stated). No correlation was observed between ambient temperature and SLE first admissions, but a correlation was found between low ambient temperature and SLE re-admissions (RR: 2.53, 95% CI: 1.11, 5.77) (3.5 °C vs 21 °C). The effect of ambient temperature on SLE re-admissions remained for 2 weeks but disappeared in 3 weeks. Exposure to low ambient temperature may increase hospital re-admissions for SLE, and thus it is important for SLE patients to maintain a warm living environment and avoid exposure to lower ambient temperature.
Along with the progress of urbanization and environ- mental deterioration, residents’ desire for improved air quality is increasing. In order to quantify an individual’s willingness-to-pay (WTP) for improved air quality in Jinan of eastern China, a contingent valuation method (CVM) was employed. A sample of 1,500 residents was chosen on the basis of multistage sampling methods with face-to-face interviews by using a series of hypo-thetical, open-ended scenario questions which were designed to elicit the respondents’ WTP. Results showed that 59.7% of respondents were able to express their WTP and the mean WTP is 100 Chinese Yuan (CNY) per person per year. A probit model on the probability of a positive WTP and a regression model were developed to find the relationship between endogenous variables and WTP. Most parameters in the econometric analysis had the expected sign. Annual household income and expenditure on treating respiratory diseases significantly influence WTP. The rates of positive WTP and the monetary amount are larger for men than for women. Results also showed that people who lived in more polluted areas were willing to pay more for clean air. Unlike developed countries, clean air may only be considered as a public good in China in that more than 40% of respondents had no incen- tive to bear the costs of attempting to achieve better air quality, which indicates the relatively low environmental consciousness. 相似文献
