Soneja Sutyajeet, Chen Chen, Tielsch James M, Katz Joanne, Zeger Scott L, Checkley William, Curriero Frank C, Breysse Patrick N
Department of Environmental Health Sciences, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Program in Global Disease Epidemiology and Control, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Int J Environ Res Public Health. 2014 Jun 19;11(6):6400-16. doi: 10.3390/ijerph110606400.
Great uncertainty exists around indoor biomass burning exposure-disease relationships due to lack of detailed exposure data in large health outcome studies. Passive nephelometers can be used to estimate high particulate matter (PM) concentrations during cooking in low resource environments. Since passive nephelometers do not have a collection filter they are not subject to sampler overload. Nephelometric concentration readings can be biased due to particle growth in high humid environments and differences in compositional and size dependent aerosol characteristics. This paper explores relative humidity (RH) and gravimetric equivalency adjustment approaches to be used for the pDR-1000 used to assess indoor PM concentrations for a cookstove intervention trial in Nepal. Three approaches to humidity adjustment performed equivalently (similar root mean squared error). For gravimetric conversion, the new linear regression equation with log-transformed variables performed better than the traditional linear equation. In addition, gravimetric conversion equations utilizing a spline or quadratic term were examined. We propose a humidity adjustment equation encompassing the entire RH range instead of adjusting for RH above an arbitrary 60% threshold. Furthermore, we propose new integrated RH and gravimetric conversion methods because they have one response variable (gravimetric PM2.5 concentration), do not contain an RH threshold, and is straightforward.
由于大型健康结果研究中缺乏详细的暴露数据,室内生物质燃烧暴露与疾病之间的关系存在很大不确定性。被动散射仪可用于估计资源匮乏环境中烹饪期间的高颗粒物(PM)浓度。由于被动散射仪没有收集过滤器,因此不会出现采样器过载的情况。在高湿度环境中,由于颗粒生长以及成分和尺寸依赖性气溶胶特性的差异,散射仪浓度读数可能会产生偏差。本文探讨了用于尼泊尔一项炉灶干预试验中评估室内PM浓度的pDR - 1000的相对湿度(RH)和重量法等效性调整方法。三种湿度调整方法的表现相当(均方根误差相似)。对于重量法转换,采用对数变换变量的新线性回归方程比传统线性方程表现更好。此外,还研究了使用样条或二次项的重量法转换方程。我们提出了一个涵盖整个RH范围的湿度调整方程,而不是针对高于任意60%阈值的RH进行调整。此外,我们提出了新的综合RH和重量法转换方法,因为它们具有一个响应变量(重量法PM2.5浓度),不包含RH阈值,且简单明了。