Durham School of Architectural Engineering & Construction, University of Nebraska-Lincoln, Peter Kiewit Institute, 1110 South 67th Street, Omaha, NE, United States.
Durham School of Architectural Engineering & Construction, University of Nebraska-Lincoln, Peter Kiewit Institute, 1110 South 67th Street, Omaha, NE, United States.
Sci Total Environ. 2021 Sep 10;786:147498. doi: 10.1016/j.scitotenv.2021.147498. Epub 2021 May 4.
The objective of this study was to investigate associations between indoor air quality (IAQ) in K-12 classrooms and student academic performance. During the academic years 2015-2017, various IAQ factors in 220 classrooms in the US were measured seasonally, excluding summer. Measurements were taken during occupied and unoccupied times in several classrooms within each school. Occupied measurements included indoor carbon dioxide (CO) and formaldehyde concentrations, and fine and coarse particle counts. Unoccupied measurements consisted of ozone (O), carbon monoxide (CO), nitrogen dioxide (NO), and total volatile organic compounds (TVOCs) concentrations. Ventilation rates of classrooms were estimated using measured CO concentrations. In addition to IAQ data, classroom aggregated student achievement scores and demographic information were collected from participating school districts. Demographic data included percentage rates of free and reduced lunch recipients (PFRL), high-performance students (PGIF), and special education students (PSPED). A multivariate linear regression analysis was used to investigate the associations between IAQ factors and student scores using demographic data as controls. The results revealed associations between student scores and ventilation system type, ventilation rates, fine particle counts, and O and CO concentrations. This research provides valuable information to school districts and design engineers, enabling them to design school environments for improved student performance.
本研究旨在探究美国 K-12 教室室内空气质量（IAQ）与学生学业表现之间的关系。在 2015-2017 学年期间，对美国 220 间教室的各种室内空气质量因素进行了季节性测量，不包括夏季。在每所学校的几间教室中，在有人和无人两种情况下进行了测量。有人测量包括室内二氧化碳（CO）和甲醛浓度，以及细颗粒物和粗颗粒物计数。无人测量包括臭氧（O）、一氧化碳（CO）、二氧化氮（NO）和总挥发性有机化合物（TVOC）浓度。使用测量的 CO 浓度估算了教室的通风率。除了室内空气质量数据外，还从参与学区收集了教室的学生综合成绩和人口统计信息。人口统计数据包括免费和减价午餐接受者的百分比（PFRL）、成绩优异的学生（PGIF）和特殊教育学生（PSPED）的百分比。使用多元线性回归分析，在控制人口统计数据的情况下，研究了室内空气质量因素与学生成绩之间的关系。研究结果表明，学生成绩与通风系统类型、通风率、细颗粒物计数以及 O 和 CO 浓度之间存在关联。本研究为学区和设计工程师提供了有价值的信息，使他们能够设计出改善学生表现的学校环境。
