State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing, 210023, China.
Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Sci Total Environ. 2022 Oct 10;842:156824. doi: 10.1016/j.scitotenv.2022.156824. Epub 2022 Jun 20.
Air pollution addresses short-term health effects on morbidity, especially for children. Assessing the impacts of air pollution on elementary students is critical for developing preparedness response strategies for this sensitive group. In the 2016-17 academic year, up to 687,748 groups of illness-related absence records and the information on whether the absentee had gone to a hospital or not were collected from 2564 elementary schools across Jiangsu Province China. We explored the associations between air pollution and illness-related records using a time-stratified case-crossover analysis with distributed lag non-linear design. An increase of 10 μg/m in the current-day concentration of PM and O was positively associated with illness-related absenteeism overall. The excess risk of absenteeism was 4.52 % (95%CI 4.37-4.67 %) for PM and 0.25 % (95%CI 0.01-0.36 %) for O. The risk associated with O was boosted for the frequent absentees who tended to have basic diseases or were more vulnerable to infectious diseases. Students in 43.1 % illness-related absenteeism, mainly due to highly infectious diseases, only received home nursing without going to a hospital. The increase in the number of illness cases associated with PM and O estimated based on the illness-related absence data was 41.5 % and 18.6 % higher than that evaluated based on hospital visit records. Such underestimations persisted in sensitivity analyses and persisted in subgroups classified by gender or grade. Together, the performance of illness-related absence records far outweighed that of hospital visit data regarding the thorough evaluation of air pollution-related illness cases for elementary students. Improvement in air quality and home health care education are warranted as well for the health benefits of children.
空气污染对发病率的短期健康影响,尤其是对儿童的影响。评估空气污染对小学生的影响,对于制定针对这一敏感群体的应急准备策略至关重要。在 2016-17 学年,从中国江苏省的 2564 所小学收集了多达 687748 组与疾病相关的缺勤记录以及缺勤学生是否去医院的信息。我们使用时间分层病例交叉分析与分布式滞后非线性设计来探讨空气污染与疾病相关记录之间的关联。当前 PM 和 O 的浓度每增加 10μg/m3,与疾病相关的缺勤总体上呈正相关。缺勤的超额风险为 PM 为 4.52%(95%CI 4.37-4.67%),O 为 0.25%(95%CI 0.01-0.36%)。O 与频繁缺勤者的关联风险更高,这些人往往患有基础疾病或更容易感染传染病。在 43.1%的疾病相关缺勤中,主要是由于高度传染性疾病,学生仅接受家庭护理而不去医院。基于疾病相关缺勤数据估计的与 PM 和 O 相关的疾病病例数增加了 41.5%和 18.6%,高于基于医院就诊记录评估的结果。基于性别或年级分类的敏感性分析中也存在这种低估,而且在这些分析中也存在这种情况。总的来说,疾病相关缺勤记录的表现远远优于医院就诊数据,可用于全面评估小学生的与空气污染相关的疾病病例。需要改善空气质量和家庭保健教育,以促进儿童的健康。