Abrutzky Rosana, Torres Fernando Adrián, Ossorio María Fabiana, Ferrero Fernando
Universidad de Buenos Aires, Facultad de Ciencias Sociales, Instituto de Investigaciones Gino Germani.
Rev Fac Cien Med Univ Nac Cordoba. 2017 Dec 14;74(4):365-371. doi: 10.31053/1853.0605.v74.n4.17495.
to evaluate the impact of air pollution and weather changes on the number of visits to a pediatric emergency department in Buenos Aires, Argentina.
we designed an ecological time-series study using generalized additive models (GAM) for the period 2012-2014. The outcome variable was the number of daily visits to a pediatric emergency department taking into account daily consultations. The potential predictors were the average daily air pollution levels (carbon monoxide -CO-, nitrogen dioxide -NO2-, particulate matter 10 microns or less in diameter -PM10-) and weather variables (temperature, humidity, wind speed and direction, and rainfall) and we controlled by weekday and long-time trend.
the number of visits during the winter months (286 daily) was significantly higher than those in the other seasons (p <0.0001). The change in air pollution levels did not show a significant and consistent correlation with the visits. Temperature, relative humidity, rainfall, and wind speed and direction were not significant variables for any of the examined lags.
Considering the population and variables of our study, air pollution does not affect the health outcomes, as does seasonal epidemics. Studies that examine other health variables are necessary to establish the impact of air pollution on children’s health in Buenos Aires.
评估空气污染和气候变化对阿根廷布宜诺斯艾利斯一家儿科急诊科就诊人数的影响。
我们设计了一项生态时间序列研究，使用广义相加模型（GAM）对2012 - 2014年期间进行分析。结果变量是考虑每日会诊情况的儿科急诊科每日就诊人数。潜在预测因素包括每日平均空气污染水平（一氧化碳 -CO-、二氧化氮 -NO2-、直径10微米及以下颗粒物 -PM10-）以及天气变量（温度、湿度、风速和风向、降雨量），并且我们对工作日和长期趋势进行了控制。
冬季月份的就诊人数（每日286人次）显著高于其他季节（p <0.0001）。空气污染水平的变化与就诊人数未显示出显著且一致的相关性。对于所检查的任何滞后时间，温度、相对湿度、降雨量以及风速和风向均不是显著变量。
考虑到我们研究的人群和变量，空气污染不像季节性流行病那样影响健康结果。有必要开展研究其他健康变量的研究，以确定空气污染对布宜诺斯艾利斯儿童健康的影响。
