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应用Miettinen公式评估PM2.5模拟干预对代谢综合征的健康收益

Apply the Miettinen Formula to Assess the Health Benefits of the PM2.5 Simulation Intervention on Metabolic Syndrome

  • 摘要:
    目的 量化不同策略模拟干预PM2.5(空气动力学直径≤2.5 μm)浓度对人群代谢综合征(metabolic syndrome, MetS)患病的健康收益,为大气污染治理提供更加直接的科学证据。
    方法 整合中国各城市PM2.5暴露浓度、人口数量和来自既往研究的PM2.5-MetS相对风险数据,基于Miettinen公式估算等值、定值、阈值和比值干预PM2.5浓度的广义影响分数(generalized impact fraction, GIF),即假定当前暴露水平降低至某一特定感兴趣水平时,能够减少的MetS病例的比例。
    结果 降低5、10、15或20 μg/m3的PM2.5浓度,可使MetS患病人数分别减少10.54%〔95%置信区间(confidence interval, CI):10.52%~10.57%〕、19.94%(95%CI:19.90%~19.99%)、28.24%(95%CI:28.16%~28.33%)和35.41%(95%CI:35.27%~35.55%)。将其控制到最小观察值(5.95 μg/m3)和不高于WHO年均标准(10 μg/m3)时,可避免MetS病例比例分别为22.71%(95%CI:18.77%~26.65%)和17.24%(95%CI:16.86%~17.62%)。采用比值干预法,使PM2.5浓度降低30%和50%时,可分别减少7.41%(95%CI:7.28%~7.53%)和12.16%(95%CI:11.96%~12.36%)的MetS患病。
    结论 4种PM2.5干预策略均可不同程度减少MetS患病人数,其中等值、最小值和WHO阈值标准的干预效应最大,综合考虑等值干预效率更高,未来应逐步聚焦于实际环境治理措施与干预策略的相关性,以直接指导环境保护政策制定。

     

    Abstract:
    Objective Quantify the health benefits of various strategies for reducing PM2.5 (aerodynamic diameter ≤ 2.5 μm) concentrations on the prevalence of metabolic syndrome (MetS) in the population, and provide more direct scientific evidence to support air pollution control efforts.
    Methods By integrating PM2.5 exposure concentrations, population sizes of various cities in China, and relative risk data for PM2.5-MetS from previous studies, the generalized impact fraction (GIF) for equivalent, fixed, threshold, and ratio interventions on PM2.5 concentrations was estimated using the Miettinen formula. Specifically, the proportion of MetS cases that could be reduced by lowering the current exposure level to a specified level of interest was calculated.
    Results Reducing PM2.5 concentrations by 5, 10, 15, or 20 μg/m³ can lead to decreases in the number of MetS cases by 10.54% (95% CI: 10.52%-10.57%), 19.94% (95% CI: 19.90%-19.99%), 28.24% (95% CI: 28.16%-28.33%), and 35.41% (95% CI: 35.27%-35.55%), respectively. When the concentration is controlled to the minimum observed value (5.95 μg/m³) or does not exceed the WHO annual average standard (10 μg/m³), the proportions of MetS cases that can be avoided are 22.71% (95% CI: 18.77%-26.65%) and 17.24% (95% CI: 16.86%-17.62%), respectively. Using the ratio intervention method, reducing PM2.5 concentrations by 30% and 50% can reduce the number of MetS cases by 7.41% (95% CI: 7.28%-7.53%) and 12.16% (95% CI: 11.96%-12.36%), respectively.
    Conclusion All four PM2.5 intervention strategies can reduce the number of patients with MetS to varying degrees, with equivalent, minimum-value, and WHO threshold-based interventions demonstrating the greatest effects. Taking into comprehensive consideration, equivalent intervention is more efficient. In the future, efforts should be gradually focused on the correlation between actual environmental control measures and intervention strategies to directly guide the formulation of environmental protection policies.

     

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