Post-Graduate Program in Public Health, Federal University of Santa Catarina, Florianópolis, Brazil.
Urban and Regional Planning Department, University of Colorado Denver, Denver.
JAMA Netw Open. 2022 May 2;5(5):e2213540. doi: 10.1001/jamanetworkopen.2022.13540.
Prior studies on the association between fine particulate matter with diameters 2.5 μm or smaller (PM2.5) and probability of death have not applied multilevel analysis disaggregating data for US census tract, states, and counties, nor tested its interaction by socioeconomic status (SES). Such an approach could provide a more refined identification and targeting of populations exposed to increased risk from PM2.5.
To assess the association between PM2.5 and age-specific mortality risk (ASMR) using disaggregated data at the census tract level and evaluate such association according to census tract SES.
DESIGN, SETTING, AND PARTICIPANTS: This nationwide cross-sectional study used a linkage of 3 different data sets. ASMR for the period of 2010 to 2015 was obtained from the National Center for Health Statistic, SES data covering a period from 2006 to 2016 came from the American Community Survey, and mean PM2.5 exposure levels from 2010 to 2015 were derived from well-validated atmospheric chemistry and machine learning models. Data were analyzed in April 2021.
The main exploratory variable was mean census tract-level long-term exposure to PM2.5 from 2010 to 2015.
The primary outcome was census tract-level ASMR. Multilevel models were used to quantify the geographic variation in ASMR at levels of census tract, county, and state. Additional analysis explored the interaction of SES in the association of ASMR with PM2.5 exposure.
Data from 67 148 census tracts nested in 3087 counties and 50 states were analyzed. The association between exposure to PM2.5 and ASMR varied substantially across census tracts. The magnitude of such association also varied across age groups, being higher among adults and older adults. Census tracts accounted for most of the total geographic variation in mortality risk (range, 77.0%-94.2%). ASMR was higher in deciles with greater PM2.5 concentration. For example, ASMR for age 75 to 84 years was 54.6 per 1000 population higher in the decile with the second-highest PM2.5 concentration than in the decile with the lowest PM2.5 concentration. The ASMR, PM2.5 concentrations, and magnitude of the association between both were higher in the census tracts with the lowest SES.
This cross-sectional study found that census tracts with lower SES presented higher PM2.5 concentrations. ASMR and air pollution varied substantially across census tracts. There was an association between air pollution and ASMR across all age groups in the United States. These findings suggest that equitable public policies aimed at improving air quality are needed and important to increase life expectancy.
先前关于直径 2.5μm 或更小的细颗粒物 (PM2.5) 与死亡概率之间关联的研究,并未应用多层次分析方法对美国普查区、州和县的数据进行细分,也未按社会经济地位 (SES) 检验其相互作用。这种方法可以更精确地识别和定位暴露于 PM2.5 风险增加的人群。
使用普查区层面的细分数据评估 PM2.5 与特定年龄死亡率 (ASMR) 之间的关联,并根据普查区 SES 评估这种关联。
设计、设置和参与者:这项全国性的横断面研究使用了 3 个不同数据集的链接。2010 年至 2015 年的 ASMR 从国家卫生统计中心获得,涵盖 2006 年至 2016 年期间的 SES 数据来自美国社区调查,2010 年至 2015 年的平均 PM2.5 暴露水平来自经过良好验证的大气化学和机器学习模型。数据分析于 2021 年 4 月进行。
主要探索变量是 2010 年至 2015 年期间普查区层面的长期 PM2.5 平均暴露水平。
主要结果是普查区层面的 ASMR。使用多层次模型来量化在普查区、县和州各级 ASMR 的地理差异。额外的分析探索了 SES 在 ASMR 与 PM2.5 暴露之间的关联中的交互作用。
对嵌套在 3087 个县和 50 个州的 67148 个普查区的数据进行了分析。暴露于 PM2.5 与 ASMR 之间的关联在普查区之间存在很大差异。这种关联的程度也因年龄组而异,在成年人和老年人中更高。普查区在总死亡率风险的地理变异中占最大比例 (范围为 77.0%-94.2%)。PM2.5 浓度较高的十位数 ASMR 更高。例如,年龄在 75 至 84 岁的 ASMR 比 PM2.5 浓度最低的十位数高 54.6 每 1000 人。在 SES 最低的普查区,ASMR、PM2.5 浓度以及两者之间的关联程度都更高。
这项横断面研究发现,SES 较低的普查区 PM2.5 浓度较高。ASMR 和空气污染在普查区之间存在很大差异。在美国所有年龄组中,空气污染与 ASMR 之间存在关联。这些发现表明,需要制定公平的公共政策来改善空气质量,这对于提高预期寿命非常重要。