Chen Chu-Chih, Wang Yin-Ru, Liu Jhi-Shin, Chang Hsing-Yi, Guo Yue Leon, Chen Pau-Chung
Institute of Population Health Sciences, National Health Research Institutes, Taiwan; Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Taiwan.
Institute of Population Health Sciences, National Health Research Institutes, Taiwan.
Sci Total Environ. 2023 Sep 20;892:164767. doi: 10.1016/j.scitotenv.2023.164767. Epub 2023 Jun 10.
Environmental exposure to fine particulate matter PM is known to be associated with many hazardous health effects, including cardiovascular diseases (CVDs). To reduce the related health burden, it is crucial that policy-makers throughout the world set regulation levels according to their own evidence-based study outcomes. However, there appears to be a lack of decision-making methods for the control level of PM based on the burden of disease. In this study, 117,882 CVD-free participants (≥30-years-old) of the MJ Health Database were followed-up (for a median of 9 years) between 2007 and 2017. Each participant's residential address was matched to the 3× 3 km grid PM concentration estimates with a 5-year average for long-term exposure. We used a time-dependent nonlinear weight-transformation Cox regression model for the concentration-response function (CRF) between exposure to PM and CVD incidence. Town/district-specific PM-attributable years of life in disability (YLDs) in CVD incidence were calculated by using the relative risk (RR) of the PM concentration level relative to the reference level. A cost-benefit analysis was proposed by assessing the trade-off between the gain in avoidable YLDs (given a reference level at u and considering mitigation cost) versus the loss in unavoidable YLDs by not setting at the lowest observed health effect level u. The CRF varied across different areas with dissimilar PM exposure ranges. Areas with low PM2.5 concentrations and population sizes provided crucial information for the CVD health effect at the lower end. Additionally, women and older participants were more susceptible. The avoided town/district-specific YLDs in CVD incidence due to lower RRs ranged from 0 to 3000 person-years comparing the PM concentration levels in 2019 with the levels in 2011. Based on the cost-benefit analysis, an annual PM concentration of 13 μg/m would be optimal, which provides a guideline for the updated regulation level (currently at 15 μg/m). The proposed cost-benefit analysis method may be applied to other countries/regions for regulation levels that are most suitable for their air pollution status and population health.
已知环境暴露于细颗粒物(PM)与包括心血管疾病(CVD)在内的许多有害健康影响相关。为减轻相关的健康负担,世界各地的政策制定者根据自身基于证据的研究结果设定监管水平至关重要。然而,似乎缺乏基于疾病负担的PM控制水平决策方法。在本研究中,对MJ健康数据库中117882名无心血管疾病的参与者(≥30岁)在2007年至2017年期间进行了随访(中位随访时间为9年)。将每位参与者的居住地址与3×3公里网格的PM浓度估计值进行匹配,该估计值为5年平均长期暴露浓度。我们对PM暴露与CVD发病率之间的浓度-反应函数(CRF)使用了时间依赖性非线性权重转换Cox回归模型。通过使用PM浓度水平相对于参考水平的相对风险(RR),计算了城镇/地区特定的CVD发病率中PM归因的残疾生命年(YLD)。通过评估在给定参考水平u并考虑缓解成本的情况下可避免的YLD增加与不设定在最低观察到的健康影响水平u时不可避免的YLD损失之间的权衡,提出了成本效益分析。CRF在不同的PM暴露范围不同的地区有所变化。PM2.5浓度和人口规模较低的地区为低端的CVD健康影响提供了关键信息。此外,女性和老年参与者更易受影响。将2019年的PM浓度水平与2011年的水平进行比较,由于RR较低,城镇/地区特定的CVD发病率中避免的YLD范围为0至3000人年。基于成本效益分析,每年PM浓度为13μg/m³将是最佳的,这为更新后的监管水平(目前为15μg/m³)提供了指导方针。所提出的成本效益分析方法可应用于其他国家/地区,以制定最适合其空气污染状况和人群健康的监管水平。