Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.
BMC Cardiovasc Disord. 2020 Feb 11;20(1):76. doi: 10.1186/s12872-020-01329-z.
Long-term exposure to pollution has been shown to increase risk of cardiovascular disease (CVD) and mortality, and may contribute to the increased risk of CVD among individuals with higher social risk.
Data from the community-based Heart Strategies Concentrating on Risk Evaluation (HeartSCORE) study were used to quantify Cumulative Social Risk (CSR) by assigning a score of 1 for the presence of each of 4 social risk factors: racial minority, single living, low income, and low educational status. 1-year average air pollution exposure to PM was estimated using land-use regression models. Associations with clinical outcomes were assessed using Cox models, adjusting for traditional CVD risk factors. The primary clinical outcome was combined all-cause mortality and nonfatal CVD events.
Data were available on 1933 participants (mean age 59 years, 66% female, 44% Black). In a median follow up time of 8.3 years, 137 primary clinical outcome events occurred. PM exposure increased with higher CSR score. PM was independently associated with clinical outcome (adjusted hazard ratio [HR]: 1.19 [95% CI: 1.00, 1.41]). Participants with ≥2 CSR factors had an adjusted HR of 2.34 (1.48-3.68) compared to those with CSR = 0. The association was attenuated after accounting for PM (HR: 2.16; [1.34, 3.49]). Mediation analyses indicate that PM explained 13% of the risk of clinical outcome in individuals with CSR score ≥ 2.
In a community-based cohort study, we found that the association of increasing CSR with higher CVD and mortality risks is partially accounted for by exposure to PM environmental pollutants.
长期暴露于污染会增加心血管疾病(CVD)和死亡率的风险,并且可能导致社会风险较高的个体 CVD 风险增加。
使用基于社区的 Heart Strategies Concentrating on Risk Evaluation(HeartSCORE)研究的数据,通过为 4 个社会风险因素(少数民族、单身生活、低收入和低教育程度)中的每一个存在分配 1 分来量化累积社会风险(CSR)。使用基于土地利用的回归模型估计 1 年平均 PM 空气污染暴露量。使用 Cox 模型调整传统 CVD 风险因素,评估与临床结果的关联。主要临床结果是全因死亡率和非致死性 CVD 事件的综合。
在中位随访 8.3 年期间,137 例主要临床结局事件发生,共有 1933 名参与者(平均年龄 59 岁,66%为女性,44%为黑人)的数据可用。随着 CSR 评分的升高,PM 暴露量增加。PM 与临床结果独立相关(调整后的危险比 [HR]:1.19 [95% CI:1.00,1.41])。与 CSR=0 的参与者相比,具有≥2 个 CSR 因素的参与者调整后的 HR 为 2.34(1.48-3.68)。在考虑 PM 后,相关性减弱(HR:2.16;[1.34,3.49])。中介分析表明,在 CSR 评分≥2 的个体中,PM 解释了临床结局风险的 13%。
在一项基于社区的队列研究中,我们发现 CSR 增加与更高 CVD 和死亡率风险之间的关联部分归因于 PM 环境污染物的暴露。