Menezes Renata Armani de Moura, Pavanitto Drielle Rezende, Nascimento Luiz Fernando Costa
Universidade de Taubaté, Taubaté, SP, Brazil.
Rev Paul Pediatr. 2019 Apr-Jun;37(2):166-172. doi: 10.1590/1984-0462/;2019;37;2;00009. Epub 2019 Apr 8.
Identify the association between exposure to fine particulate matter and hospitalizations due to respiratory diseases in children up to ten years of age in the city of Cuiabá, Mato Grosso, stratifying the analysis by sex and calculating excess costs.
Ecological study of time series. The dependent variable was daily hospitalizations according to the 10th Revision of the International Classification of Diseases (ICD10): J04.0, J12.0 to J18.9, J20.0 to J21.9 and J45.0 to J45.0. The independent variables were the concentration of fine particulate, estimated by a mathematical model, temperature and relative air humidity, controlled by short and long-term trends. Generalized additive model of Poisson regression was used. Relative risks, proportional attributable risk (PAR) and excess hospitalizations and their respective costs by the population attributable fraction (PAF) were calculated.
1,165 children were hospitalized, 640 males and 525 females. The mean concentration, estimated by the mathematical model, was 15.1±2.9 mcg/m3 for PM2.5. For boys, there was no significant association; for girls a relative risk of up to 1.04 of daily hospitalizations due to respiratory diseases was observed for exposure to PM 2.5 in lags 1, 2 and 6. Increase of 5 µg/m3 in these concentrations increased the percentage of the risk in 18%; with an excess 95 hospital admissions and with excess expenses in the order of US$ 35 thousand.
Significant effect in daily hospitalizations due to respiratory diseases related to exposure to fine particulate matter was noted for girls, suggesting the need for stratification by sex in further studies.
确定马托格罗索州库亚巴市10岁以下儿童接触细颗粒物与呼吸系统疾病住院之间的关联,按性别分层分析并计算额外费用。
时间序列的生态学研究。因变量是根据《国际疾病分类》第10版(ICD10)的每日住院情况:J04.0、J12.0至J18.9、J20.0至J21.9以及J45.0至J45.0。自变量是通过数学模型估算的细颗粒物浓度、温度和相对空气湿度,并通过短期和长期趋势进行控制。使用泊松回归的广义相加模型。计算相对风险、比例归因风险(PAR)、额外住院人数及其按人群归因分数(PAF)计算的各自费用。
1165名儿童住院,其中640名男性和525名女性。通过数学模型估算的PM2.5平均浓度为15.1±2.9微克/立方米。对于男孩,未发现显著关联;对于女孩,在滞后1、2和6天接触PM2.5时,因呼吸系统疾病导致的每日住院相对风险高达1.04。这些浓度每增加5微克/立方米,风险百分比增加18%;额外住院95例,额外费用约为3.5万美元。
注意到女孩因接触细颗粒物导致的呼吸系统疾病每日住院有显著影响,这表明在进一步研究中需要按性别分层。