Olstrup Henrik, Flanagan Erin, Persson Jan-Olov, Rittner Ralf, Krage Carlsen Hanne, Stockfelt Leo, Xu Yiyi, Rylander Lars, Gustafsson Susanna, Spanne Mårten, Åström Daniel Oudin, Engström Gunnar, Oudin Anna
Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, 223 63 Lund, Sweden.
Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden.
Toxics. 2023 Nov 7;11(11):913. doi: 10.3390/toxics11110913.
In this study, the long-term mortality effects associated with exposure to PM (particles with an aerodynamic diameter smaller than or equal to 10 µm), PM (particles with an aerodynamic diameter smaller than or equal to 2.5 µm), BC (black carbon), and NO (nitrogen oxides) were analyzed in a cohort in southern Sweden during the period from 1991 to 2016. Participants (those residing in Malmö, Sweden, born between 1923 and 1950) were randomly recruited from 1991 to 1996. At enrollment, 30,438 participants underwent a health screening, which consisted of questionnaires about lifestyle and diet, a clinical examination, and blood sampling. Mortality data were retrieved from the Swedish National Cause of Death Register. The modeled concentrations of PM, PM, BC, and NO at the cohort participants' home addresses were used to assess air pollution exposure. Cox proportional hazard models were used to estimate the associations between long-term exposure to PM, PM, BC, and NO and the time until death among the participants during the period from 1991 to 2016. The hazard ratios (HRs) associated with an interquartile range (IQR) increase in each air pollutant were calculated based on the exposure lag windows of the same year (lag0), 1-5 years (lag1-5), and 6-10 years (lag6-10). Three models were used with varying adjustments for possible confounders including both single-pollutant estimates and two-pollutant estimates. With adjustments for all covariates, the HRs for PM, PM, BC, and NO in the single-pollutant models at lag1-5 were 1.06 (95% CI: 1.02-1.11), 1.01 (95% CI: 0.95-1.08), 1.07 (95% CI: 1.04-1.11), and 1.11 (95% CI: 1.07-1.16) per IQR increase, respectively. The HRs, in most cases, decreased with the inclusion of a larger number of covariates in the models. The most robust associations were shown for NO, with statistically significant positive HRs in all the models. An overall conclusion is that road traffic-related pollutants had a significant association with mortality in the cohort.
在本研究中,分析了1991年至2016年期间瑞典南部一个队列中,暴露于PM(空气动力学直径小于或等于10微米的颗粒物)、PM(空气动力学直径小于或等于2.5微米的颗粒物)、BC(黑碳)和NO(氮氧化物)与长期死亡率的关系。参与者(居住在瑞典马尔默、出生于1923年至1950年之间的人)于1991年至1996年被随机招募。在入组时,30438名参与者接受了健康筛查,包括关于生活方式和饮食的问卷调查、临床检查和血液采样。死亡率数据从瑞典国家死亡原因登记册中获取。队列参与者家庭住址处PM、PM、BC和NO的模拟浓度用于评估空气污染暴露情况。使用Cox比例风险模型来估计1991年至2016年期间参与者长期暴露于PM、PM、BC和NO与死亡时间之间的关联。基于同一年(lag0)、1 - 5年(lag1 - 5)和6 - 10年(lag6 - 10)的暴露滞后窗口,计算了每种空气污染物四分位距(IQR)增加相关的风险比(HRs)。使用了三种模型,对可能的混杂因素进行了不同程度的调整,包括单污染物估计和双污染物估计。在对所有协变量进行调整后,单污染物模型中lag1 - 5时PM、PM、BC和NO的HRs分别为每IQR增加1.06(95%CI:1.02 - 1.11)、1.01(95%CI:0.95 - 1.08)、1.07(95%CI:1.04 - 1.11)和1.11(95%CI:1.07 - 1.16)。在大多数情况下,随着模型中纳入更多协变量,HRs会降低。对于NO显示出最强的关联,在所有模型中HRs均具有统计学意义的正向结果。总体结论是,与道路交通相关的污染物与该队列中的死亡率存在显著关联。