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Seasonal concentrations and determinants of indoor particulate matter in a low-income community in Dhaka Bangladesh

机译:孟加拉国达卡低收入社区中室内颗粒物质的季节性浓度和决定因素

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摘要

Indoor exposure to particulate matter (PM) increases the risk of acute lower respiratory tract infections, which are the leading cause of death in young children in Bangladesh. Few studies, however, have measured children’s exposures to indoor PM over time. The World Health Organization recommends that daily indoor concentrations of PM less than 2.5 μm in diameter (PM2.5) not exceed 25 μg/m3. This study aimed to describe the seasonal variation and determinants of concentrations of indoor PM2.5 in a low-income community in urban Dhaka, Bangladesh. PM2.5 was measured in homes monthly during May 2009 to April 2010. We calculated the time-weighted average, 90th percentile PM2.5 concentrations and the daily hours PM2.5 exceeded 100 μg/m3. Linear regression models were used to estimate the associations between fuel use, ventilation, indoor smoking, and season to each metric describing indoor PM2.5 concentrations. Time-weighted average PM2.5 concentrations were 190 μg/m3 (95% CI 170 – 210). Sixteen percent of 258 households primarily used biomass fuels for cooking and PM2.5 concentrations in these homes had average concentrations 75 μg/m3 (95% CI 56 – 124) greater than other homes. PM2.5 concentrations were also associated with burning both biomass and kerosene, indoor smoking, and ventilation, and were more than twice as high during winter than during other seasons. Young children in this community are exposed to indoor PM2.5 concentrations 7 times greater than those recommended by World Health Organization guidelines. Interventions to reduce biomass burning could result in a daily reduction of 75 μg/m3 (40%) in time-weighted average PM2.5 concentrations.
机译:室内暴露于颗粒物(PM)会增加急性下呼吸道感染的风险,这是孟加拉国幼儿死亡的主要原因。但是,很少有研究能够测量出儿童在一段时间内室内PM的暴露情况。世界卫生组织建议,直径小于2.5μm(PM2.5)的室内PM的每日浓度不超过25μg/ m 3 。这项研究旨在描述孟加拉国达卡市低收入社区室内PM2.5浓度的季节变化和决定因素。在2009年5月至2010年4月期间,每月对房屋中的PM2.5进行测量。我们计算了时间加权平均值,即PM2.5浓度的第90个百分位数,每天PM2.5超过100μg/ m < sup> 3 。线性回归模型用于估计燃料使用,通风,室内吸烟和季节与描述室内PM2.5浓度的每个指标之间的关联。时间加权平均PM2.5浓度为190μg/ m 3 (95%CI 170 – 210)。在258户主要使用生物燃料做饭的家庭中,有16%的家庭平均PM2.5浓度比其他家庭高75μg/ m 3 3 (40%)。

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