Tornevi Andreas, Olstrup Henrik, Forsberg Bertil
Section of Sustainable Health, Department of Public Health and Clinical Medicine, Faculty of Medicine, Umeå University, Umeå, Sweden.
Environ Epidemiol. 2023 Jun 22;7(4):e256. doi: 10.1097/EE9.0000000000000256. eCollection 2023 Aug.
Daily air pollution levels are known to influence the number of patients with acute asthma. We investigated the short-term effects of air pollution exposure on the daily number of asthma medication purchases in the Greater Stockholm area, Sweden.
We conducted a time-series study with data on asthma medication purchases and daily mean values of particulate matter ≤10 µm (PM), nitrogen oxides (NO), and ozone during 2018-2019. We used nonlinear distributed lag quasi-Poisson regression models to estimate the associations between air pollution levels and medication purchases, adjusting for meteorological variables, pollen levels, day of the week, and long-term trends. The models established linear relationships between air pollutants and the outcome, and potential delayed effects were smoothed with a spline across a lag period of 2 weeks. We applied separate models for each municipality (n = 21) in Greater Stockholm, and calculated pooled estimates to achieve combined results for the whole region.
We observed associations between daily levels of air pollution and purchases of asthma medications, most clearly for PM. The pooled estimates of the relative risks for asthma medication purchases across all 21 municipalities associated with a 10 μg m increase in PM the same day (lag 0) was 1.7% [95% confidence interval (CI): 1.2%, 2.1%], a cumulative increase of 4.6% (95% CI: 3.7%, 5.6%) over one week (lag 0-6), and a 6.5% (95% CI: 5%, 8%) increase over 2 weeks (lag 0-13). The corresponding pooled effect per 10 μg m increase in NO and ozone were 2.8% (95% CI: 1.6%, 4.1%) and 0.7% (95% CI: 0%, 1.4%) over 2 weeks (lag 0-13), respectively.
Our study revealed short-term associations between air pollution, especially PM, and purchases of asthma medications.
已知每日空气污染水平会影响急性哮喘患者的数量。我们调查了瑞典大斯德哥尔摩地区空气污染暴露对哮喘药物每日购买量的短期影响。
我们进行了一项时间序列研究,收集了2018 - 2019年期间哮喘药物购买数据以及颗粒物≤10微米(PM)、氮氧化物(NO)和臭氧的日均值。我们使用非线性分布滞后准泊松回归模型来估计空气污染水平与药物购买之间的关联,并对气象变量、花粉水平、星期几和长期趋势进行了调整。模型建立了空气污染物与结果之间的线性关系,并通过样条在2周的滞后期间对潜在的延迟效应进行了平滑处理。我们对大斯德哥尔摩地区的每个市(n = 21)应用了单独的模型,并计算了汇总估计值以获得整个地区的综合结果。
我们观察到空气污染的每日水平与哮喘药物购买之间存在关联,对PM最为明显。在所有21个市中,与当日PM每增加10微克/立方米(滞后0)相关的哮喘药物购买相对风险的汇总估计值为1.7% [95%置信区间(CI):1.2%,2.1%],在一周内(滞后0 - 6)累计增加4.6%(95% CI:3.7%,5.6%),在2周内(滞后0 - 13)增加6.5%(95% CI:5%,8%)。在2周内(滞后0 - 13),NO和臭氧每增加10微克/立方米的相应汇总效应分别为2.8%(95% CI:1.6%,4.1%)和0.7%(95% CI:0%,1.4%)。
我们的研究揭示了空气污染,尤其是PM,与哮喘药物购买之间的短期关联。