Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy.
Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via C. Colombo 112, 00147 Rome, Italy.
Environ Int. 2023 Nov;181:108258. doi: 10.1016/j.envint.2023.108258. Epub 2023 Oct 10.
The epidemiological evidence on the interaction between heat and ambient air pollution on mortality is still inconsistent.
To investigate the interaction between heat and ambient air pollution on daily mortality in a large dataset of 620 cities from 36 countries.
We used daily data on all-cause mortality, air temperature, particulate matter ≤ 10 μm (PM), PM ≤ 2.5 μm (PM), nitrogen dioxide (NO), and ozone (O) from 620 cities in 36 countries in the period 1995-2020. We restricted the analysis to the six consecutive warmest months in each city. City-specific data were analysed with over-dispersed Poisson regression models, followed by a multilevel random-effects meta-analysis. The joint association between air temperature and air pollutants was modelled with product terms between non-linear functions for air temperature and linear functions for air pollutants.
We analyzed 22,630,598 deaths. An increase in mean temperature from the 75 to the 99 percentile of city-specific distributions was associated with an average 8.9 % (95 % confidence interval: 7.1 %, 10.7 %) mortality increment, ranging between 5.3 % (3.8 %, 6.9 %) and 12.8 % (8.7 %, 17.0 %), when daily PM was equal to 10 or 90 μg/m, respectively. Corresponding estimates when daily O concentrations were 40 or 160 μg/m were 2.9 % (1.1 %, 4.7 %) and 12.5 % (6.9 %, 18.5 %), respectively. Similarly, a 10 μg/m increment in PM was associated with a 0.54 % (0.10 %, 0.98 %) and 1.21 % (0.69 %, 1.72 %) increase in mortality when daily air temperature was set to the 1 and 99 city-specific percentiles, respectively. Corresponding mortality estimate for O across these temperature percentiles were 0.00 % (-0.44 %, 0.44 %) and 0.53 % (0.38 %, 0.68 %). Similar effect modification results, although slightly weaker, were found for PM and NO.
Suggestive evidence of effect modification between air temperature and air pollutants on mortality during the warm period was found in a global dataset of 620 cities.
关于热和环境空气污染对死亡率相互作用的流行病学证据仍然不一致。
在来自 36 个国家的 620 个城市的大量数据中,调查热和环境空气污染对每日死亡率的相互作用。
我们使用了来自 36 个国家的 620 个城市在 1995 年至 2020 年期间的全因死亡率、空气温度、颗粒物≤10μm(PM)、PM≤2.5μm(PM)、二氧化氮(NO)和臭氧(O)的所有每日数据。我们将分析仅限于每个城市的六个最温暖的连续月份。使用过度分散泊松回归模型分析城市特定数据,然后进行多水平随机效应荟萃分析。空气温度和空气污染物之间的联合关联通过空气温度的非线性函数与空气污染物的线性函数之间的乘积项来建模。
我们分析了 22630598 例死亡。与城市特定分布的 75%到 99%分位数的平均温度升高相关的平均死亡率升高 8.9%(95%置信区间:7.1%,10.7%),范围为 5.3%(3.8%,6.9%)至 12.8%(8.7%,17.0%),当每日 PM 等于 10 或 90μg/m 时。当每日 O 浓度分别为 40 或 160μg/m 时,相应的估计值分别为 2.9%(1.1%,4.7%)和 12.5%(6.9%,18.5%)。同样,当每日空气温度设置为 1 和 99 个城市特定百分位时,PM 增加 10μg/m 分别与死亡率增加 0.54%(0.10%,0.98%)和 1.21%(0.69%,1.72%)相关。在这些温度百分位,O 的相应死亡率估计值分别为 0.00%(-0.44%,0.44%)和 0.53%(0.38%,0.68%)。在全球 620 个城市的数据集内发现了热和空气污染物对死亡率的相互作用存在有提示性证据的效应修饰。
在来自 36 个国家的 620 个城市的大量数据中,发现了热和空气污染物对温暖期死亡率相互作用的证据。