Respirable dust and crystalline silica concentrations among workers at a brick kiln in Bhaktapur, Nepal.

IF 1.5 4区 医学 Q4 ENVIRONMENTAL SCIENCES
John D Beard, Scott C Collingwood, James D LeCheminant, Neil E Peterson, Paul R Reynolds, Juan A Arroyo, Andrew J South, Clifton B Farnsworth, Gerardo Fong, Taylor Cisneros, Mariah Taylor, Seshananda Sanjel, James D Johnston
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Abstract

Exposure to respirable dust and crystalline silica (SiO2) has been linked to chronic obstructive pulmonary disease, silicosis, cancer, heart disease, and other respiratory diseases. Relatively few studies have measured respirable dust and SiO2 concentrations among workers at brick kilns in low- and middle-income countries. The purpose of this study was to measure personal breathing zone (PBZ) respirable dust and SiO2 concentrations among workers at one brick kiln in Bhaktapur, Nepal. A cross-sectional study was conducted among 49 workers in five job categories: administration, fire master, green (unfired) brick hand molder, green brick machine molder, and top loader. PBZ air samples were collected from each worker following Methods 0600 (respirable dust) and 7500 (respirable crystalline SiO2: cristobalite, quartz, tridymite) of the U.S. National Institute for Occupational Safety and Health. Eight-hour time-weighted average (TWA) respirable dust and quartz concentrations were also calculated. SiO2 percentage was measured in one bulk sample each of wet clay, the release agent used by green brick hand molders, and top coat soil at the brick kiln. The geometric mean (GM) sample and TWA respirable dust concentrations were 0.20 (95% confidence interval [CI]: 0.16, 0.27) and 0.12 (95% CI: 0.09, 0.16) mg/m3, respectively. GM sample and TWA quartz concentrations were 15.28 (95% CI: 11.11, 21.02) and 8.60 (95% CI: 5.99, 12.34) µg/m3, respectively. Job category was significantly associated with GM sample and TWA respirable dust and quartz concentrations (all p < 0.0001). Top loaders had the highest GM sample and TWA respirable dust concentrations of 1.49 and 0.99 mg/m3, respectively. Top loaders also had the highest GM sample and TWA quartz concentrations of 173.08 and 114.39 µg/m3, respectively. Quartz percentages in bulk samples were 16%-27%. Interventions including using wet methods to reduce dust generation, administrative controls, personal protective equipment, and education and training should be implemented to reduce brick kiln worker exposures to respirable dust and SiO2.

尼泊尔巴克塔普尔砖窑工人的可吸入粉尘和结晶二氧化硅浓度。
接触可吸入粉尘和结晶二氧化硅(SiO2)与慢性阻塞性肺病、矽肺、癌症、心脏病和其他呼吸道疾病有关。测量中低收入国家砖窑工人可吸入粉尘和二氧化硅浓度的研究相对较少。本研究的目的是测量尼泊尔巴克塔普尔一家砖窑工人的个人呼吸区(PBZ)可吸入粉尘和二氧化硅浓度。研究对 49 名工人进行了横断面研究,他们分属五个工种:行政管理、烧火工、青砖(未烧)手工砌筑工、青砖机器砌筑工和顶部装载工。按照美国国家职业安全与健康研究所的 0600 方法(可吸入粉尘)和 7500 方法(可吸入结晶二氧化硅:菱镁矿、石英、三菱镁矿),从每个工人身上采集了 PBZ 空气样本。还计算了八小时时间加权平均值 (TWA) 可吸入粉尘和石英浓度。测量了湿粘土、青砖手工成型机使用的脱模剂和砖窑表层土壤各一份散装样本中的二氧化硅百分比。样本和 TWA 可吸入粉尘浓度的几何平均数(GM)分别为 0.20(95% 置信区间 [CI]:0.16, 0.27)和 0.12(95% 置信区间:0.09, 0.16)毫克/立方米。GM 样品和 TWA 石英浓度分别为 15.28(95% 置信区间:11.11, 21.02)微克/立方米和 8.60(95% 置信区间:5.99, 12.34)微克/立方米。工作类别与 GM 样品和 TWA 可吸入粉尘和石英浓度有明显关系(均为 p3)。顶部装卸工的 GM 样品和 TWA 石英浓度也最高,分别为 173.08 微克/立方米和 114.39 微克/立方米。散装样本中的石英比例为 16%-27%。应实施包括使用湿法减少粉尘产生、行政控制、个人防护设备以及教育和培训在内的干预措施,以减少砖窑工人接触可吸入粉尘和二氧化硅的机会。
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来源期刊
Journal of Occupational and Environmental Hygiene
Journal of Occupational and Environmental Hygiene 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
3.30
自引率
10.00%
发文量
81
审稿时长
12-24 weeks
期刊介绍: The Journal of Occupational and Environmental Hygiene ( JOEH ) is a joint publication of the American Industrial Hygiene Association (AIHA®) and ACGIH®. The JOEH is a peer-reviewed journal devoted to enhancing the knowledge and practice of occupational and environmental hygiene and safety by widely disseminating research articles and applied studies of the highest quality. The JOEH provides a written medium for the communication of ideas, methods, processes, and research in core and emerging areas of occupational and environmental hygiene. Core domains include, but are not limited to: exposure assessment, control strategies, ergonomics, and risk analysis. Emerging domains include, but are not limited to: sensor technology, emergency preparedness and response, changing workforce, and management and analysis of "big" data.
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