Marín Diana, Herrera Víctor, Piñeros-Jiménez Juan Gabriel, Rojas-Sánchez Oscar Alberto, Mangones Sonia C, Rojas Yurley, Cáceres Jhon, Agudelo-Castañeda Dayana M, Rojas Néstor Y, Belalcazar-Ceron Luis Carlos, Ochoa-Villegas Jonathan, Montes-Mejía María Leonor, Lopera-Velasquez Veronica Maria, Castillo-Navarro Sanit María, Torres-Prieto Alexander, Baumgartner Jill, Rodríguez-Villamizar Laura A
Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia.
Universidad Industrial de Santander, Bucaramanga, Colombia.
Cad Saude Publica. 2025 Apr 25;41(4):e00071024. doi: 10.1590/0102-311XEN071024. eCollection 2025.
Long-term exposure to the fine particulate matter (PM2.5) is a risk factor for cardiorespiratory mortality. However, little is known about its distribution and health impact in large cities in low-middle-income countries where population exposure has increased during the last decades. This ecological study evaluated the association between PM2.5 concentration and adult cardiorespiratory mortality at the intraurban census sector (CS) level of Colombia's five most populated cities (2015-2019). We estimated incidence rate ratios (IRR; per 5µg/m3) by fitting negative binomial regressions to smoothed Bayesian mortality rates (BMR) on PM2.5 predicted from land use regression (LUR) models, adjusting for CS demographic structure, multidimensional poverty index, and spatial autocorrelation. CS median PM2.5 ranged from 8.1µg/m3 in Bucaramanga to 18.7µg/m3 in Medellín, whereas Bogotá had the highest variability (IQR = 29.5µg/m3) and cardiorespiratory mortality (BMR = 2,560 per 100,000). Long-term exposure to PM2.5 increased cardiorespiratory mortality in Bucaramanga (IRR = 1.15; 95%CI: 1.02; 1.31), without evidence of spatial clustering, and cardiovascular (IRR = 1.06; 95%CI: 1.01; 1.12) and respiratory (IRR = 1.07; 95%CI: 1.02; 1.13) mortality in Medellín. Cardiorespiratory mortality spatially clustered in some Colombian cities and was associated with long-term exposure to PM2.5 in urban areas where the LUR models had the highest predictive accuracy. These findings highlight the need to incorporate high-quality, high-resolution exposure assessments to better understand the health impact of air pollution and inform public health interventions in urban environments.
长期暴露于细颗粒物(PM2.5)是心肺疾病死亡的一个风险因素。然而,在过去几十年中人口暴露增加的低收入和中等收入国家的大城市中,关于其分布和对健康的影响却知之甚少。这项生态学研究评估了哥伦比亚五个人口最多城市(2015 - 2019年)城市内部人口普查区(CS)层面PM2.5浓度与成人心肺疾病死亡率之间的关联。我们通过对土地利用回归(LUR)模型预测的PM2.5上的平滑贝叶斯死亡率(BMR)拟合负二项回归来估计发病率比(IRR;每5µg/m³),并对CS人口结构、多维贫困指数和空间自相关性进行了调整。CS的PM2.5中位数范围从布卡拉曼加的8.1µg/m³到麦德林的18.7µg/m³,而波哥大的变异性最高(四分位距 = 29.5µg/m³)且心肺疾病死亡率最高(BMR = 每10万人2560例)。在布卡拉曼加,长期暴露于PM2.5会增加心肺疾病死亡率(IRR = 1.15;95%置信区间:1.02;1.31),且无空间聚集证据,在麦德林会增加心血管疾病死亡率(IRR = 1.06;95%置信区间:1.01;1.12)和呼吸系统疾病死亡率(IRR = 1.07;95%置信区间:1.02;1.13)。心肺疾病死亡率在哥伦比亚的一些城市存在空间聚集现象,并且在LUR模型预测准确性最高的城市地区与长期暴露于PM2.5有关。这些发现凸显了纳入高质量、高分辨率暴露评估的必要性,以便更好地了解空气污染对健康的影响,并为城市环境中的公共卫生干预提供依据。