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Association between high temperature and mortality in metropolitan areas of four cities in various climatic zones in China: a time-series study

机译:中国不同气候区四个城市都市区高温与死亡率的关联:时间序列研究

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Background Numerous studies have reported on the associations between ambient temperatures and mortality. However, few multi-city studies have been conducted in developing countries including China. This study aimed to examine the association between high temperature and mortality outcomes in four cities with different climatic characteristics in China to identify the most vulnerable population, detect the threshold temperatures, and provide scientific evidence for public health policy implementations to respond to challenges from extreme heat. Methods A semi-parametric generalized additive model (GAM) with a Poisson distribution was used to analyze the impacts of the daily maximum temperature over the threshold on mortality after controlling for covariates including time trends, day of the week (DOW), humidity, daily temperature range, and outdoor air pollution. Results The temperature thresholds for all-cause mortality were 29°C, 35°C, 33°C and 34°C for Harbin, Nanjing, Shenzhen and Chongqing, respectively. After adjusting for potential confounders including air pollution, strong associations between daily maximum temperature and daily mortality from all-cause, cardiovascular, endocrine and metabolic outcomes, and particularly diabetes, were observed in different geographical cities, with increases of 3.2-5.5%, 4.6-7.5% and 12.5-31.9% (with 14.7-29.2% in diabetes), respectively, with each 1°C increment in the daily maximum temperature over the threshold. A stronger temperature-associated mortality was detected in females compared to males. Additionally, both the population over 55 years and younger adults aged 30 to 54 years reported significant heat-mortality associations. Conclusions Extreme heat is becoming a huge threat to public health and human welfare due to the strong temperature-mortality associations in China. Climate change with increasing temperatures may make the situation worse. Relevant public health strategies and an early extreme weather and health warning system should be developed and improved at an early stage to prevent and reduce the health risks due to extreme weather and climate change in China, given its huge population, diverse geographic distribution and unbalanced socioeconomic status with various climatic characteristics.
机译:背景技术许多研究报道了环境温度与死亡率之间的关系。但是,在包括中国在内的发展中国家进行的多城市研究很少。这项研究旨在研究中国四个气候特征不同的城市中高温与死亡率结果之间的关系,以识别最脆弱的人群,检测阈值温度,并为公共卫生政策的实施提供科学依据,以应对极端高温带来的挑战。方法在控制协变量(包括时间趋势,星期几(DOW),湿度,每日)后,使用具有泊松分布的半参数广义加性模型(GAM)分析每日最高温度超过阈值对死亡率的影响。温度范围和室外空气污染。结果哈尔滨,南京,深圳和重庆的全因死亡率温度阈值分别为29°C,35°C,33°C和34°C。在对包括空气污染在内的潜在混杂因素进行调整之后,在不同的地理城市中,观察到每日最高温度与全因,心血管,内分泌和代谢结果(尤其是糖尿病)导致的每日死亡率之间的密切关联,分别上升了3.2-5.5%,4.6每日最高温度每升高1°C,超过阈值,则分别降低-7.5%和12.5-31.9%(糖尿病患者为14.7-29.2%)。与男性相比,女性的温度相关死亡率更高。此外,55岁以上的人群和30至54岁的年轻人均报告了显着的热死亡率关联。结论由于中国强大的温度-死亡率关联性,极热正成为对公共健康和人类福祉的巨大威胁。随着温度升高气候变化可能使情况变得更糟。鉴于中国人口众多,地理分布多样且社会经济不平衡,应尽早制定和完善相关的公共卫生策略以及早期的极端天气和健康预警系统,以预防和减少由于极端天气和气候变化而造成的健康风险具有各种气候特征的状态。

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