Life loss of cardiovascular diseases per death attributable to ambient temperature: A national time series analysis based on 364 locations in China

摘要

Background: Although the effect of ambient temperature on cardiovascular disease (CVDs) has been well explored, studies using years of life lost (YLLs) as the outcome especially evaluating the average life loss per death attributable to temperatures were rare. We examine the associations between ambient temperature and YLLs of CVDs, and further quantify temperature-related life loss per death. Methods: Daily YLL rates were calculated using death data from 364 locations across China during 2006-2017, and meteorological data were collected for the same period. A distributed-lag nonlinear model and meta-regression were applied to examine the relationships between temperature and YLL rates of CVDs. Subgroup analyses by age, gender, region, and cause-specific CVDs were investigated. The total YLLs and average YLLs per death attributable to temperature were further quantified to assess life loss caused by non-optimal temperature. Results: Both high and low temperatures significantly increased YLL rates of CVDs, with greater effects for cold than heat. Cerebrovascular diseases (CEDs) account for the largest proportion (47.17%) of total YLLs of CVDs attributable to non-optimal temperature. On average, life loss per CVD death attributable to non-optimal temperatures was 1.51 (95%eCi: 1.33, 1.69) years, with 1.07 (95%eCI: 1.00,1.15) years from moderate cold. Average life losses per death were observed higher for males (1.71,95% eCl: 1.43,1.99), younger population (3.82, 95% eCI: 2.86, 4.75), central China (1.62; 95% eCl: 1.41, 1.83) and hemorrhagic stroke (2.86,95% eCl: 2.63, 3.10) than their correspondents. Conclusions: We found that non-optimal temperature significantly aggravated premature death of CVD. with CEDs being the most affected, and most of temperature-related life loss of CVD was attributed to moderate cold. Our findings imply that peoples with CEDs in moderate cold days are vulnerable populations, which may contribute to a better understanding the adverse effects and pathogenesis of temperature on CVDs.