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The association between temperature and cause-specific mortality in the Klang Valley, Malaysia
Environmental Science and Pollution Research ( IF 5.8 ) Pub Date : 2021-06-22 , DOI: 10.1007/s11356-021-14962-8
Ahmad Norazhar Mohd Yatim 1, 2 , Mohd Talib Latif 3 , Nurzawani Md Sofwan 3, 4 , Fatimah Ahamad 5 , Md Firoz Khan 6 , Wan Rozita Wan Mahiyuddin 7 , Mazrura Sahani 8
Affiliation  

This study aims to examine the relationship between daily temperature and mortality in the Klang Valley, Malaysia, over the period 2006–2015. A quasi-Poisson generalized linear model combined with a distributed lag non-linear model (DLNM) was used to estimate the association between the mean temperature and mortality categories (natural n=69,542, cardiovascular n= 15,581, and respiratory disease n=10,119). Particulate matter with an aerodynamic diameter below 10 μm (PM10) and surface ozone (O3) was adjusted as a potential confounding factor. The relative risk (RR) of natural mortality associated with extreme cold temperature (1st percentile of temperature, 25//.2 °C) over lags 0–28 days was 1.26 (95% confidence interval (CI): 1.00, 1.60), compared with the minimum mortality temperature (28.2 °C). The relative risk associated with extremely hot temperature (99th percentile of temperature, 30.2 °C) over lags 0–3 days was 1.09 (95% CI: 1.02, 1.17). Heat effects were immediate whereas cold effects were delayed and lasted longer. People with respiratory diseases, the elderly, and women were the most vulnerable groups when it came to the effects of extremely high temperatures. Extreme temperatures did not dramatically change the temperature-mortality risk estimates made before and after adjustments for air pollutant (PM10 and O3) levels.



中文翻译:

马来西亚巴生谷温度与特定原因死亡率之间的关联

本研究旨在检查 2006 年至 2015 年期间马来西亚巴生谷的每日气温与死亡率之间的关系。准泊松广义线性模型结合分布式滞后非线性模型 (DLNM) 用于估计平均温度和死亡率类别之间的关联(自然n = 69,542,心血管n = 15,581,呼吸系统疾病n = 10,119) . 空气动力学直径小于 10 μm (PM 10 ) 和表面臭氧 (O 3) 被调整为潜在的混杂因素。与极端寒冷温度(温度的第 1 个百分位数,25//.2 °C)相关的自然死亡相对风险 (RR) 在滞后 0-28 天为 1.26(95% 置信区间 (CI):1.00, 1.60),与最低死亡温度 (28.2 °C) 相比。与滞后 0-3 天的极热温度(温度的第 99 个百分位数,30.2 °C)相关的相对风险为 1.09(95% CI:1.02、1.17)。热效应是立竿见影的,而冷效应会延迟并持续更长时间。当谈到极端高温的影响时,患有呼吸道疾病的人、老年人和妇女是最脆弱的群体。极端温度并没有显着改变在调整空气污染物(PM10和 O 3 ) 水平。

更新日期:2021-06-22
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