Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China.
Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, PR China.
Environ Res. 2023 Jun 1;226:115687. doi: 10.1016/j.envres.2023.115687. Epub 2023 Mar 15.
Given differences in vulnerability of children in early life, a life course approach to asthma and wheezing (AW) in young children caused by ozone (O) is not fully understood.
We conducted a birth cohort in Jinan, China from 2018 to 2021 to elucidate the onset model of childhood AW due to O exposure. An inverse distance weighted model was used for individual exposure assessment. The time-dependent Cox proportional-hazard model and logistic model were used to investigate the effects of O exposure on AW. Principal component analysis, interaction analysis, and distributed lag model were used to analyze the life course approach.
The cumulative incidence rate for AW among 6501 children aged 2 was 1.4%. A high level of O was related to AW (HR: 2.10, 95% CI: 1.31, 3.37). Only O exposure after birth was associated with AW, with an OR of 1.82 (1.08, 3.12), after adjusting for the effect before birth. Furthermore, adjusting for other air pollutants, the HR for the individual effect of high O exposure on AW was 2.44 (1.53, 3.89). Interestingly, P values for interactions for O and the principal components of other pollutants, as well as the characteristic variable of open windows were less than 0.1. Moreover, an increase in the IQR of O exposure at the 31st to 37th weeks before birth and the 1st to 105th weeks after birth was associated with an increase in the HRs for AW.
High-level of O exposure after birth could lead to AW among young children. Importantly, the AW onset model may include the risk factors accumulation and the sensitive period model. Specifically, there are two sensitive windows in early life, and the correlated insults between the high level of O and other pollutants as well as open windows in the asthma-inducing effect.
鉴于儿童在生命早期的脆弱性不同,因此,对于儿童期哮喘和喘息(AW)与臭氧(O)之间的生命历程关系还不完全清楚。
我们在中国济南进行了一项出生队列研究,以阐明儿童期因 O 暴露导致的 AW 发病模型。采用逆距离加权模型进行个体暴露评估。采用时间依赖性 Cox 比例风险模型和逻辑模型来研究 O 暴露对 AW 的影响。采用主成分分析、交互分析和分布滞后模型来分析生命历程方法。
6501 名 2 岁儿童的 AW 累积发病率为 1.4%。高水平的 O 与 AW 相关(HR:2.10,95%CI:1.31,3.37)。只有出生后 O 暴露与 AW 相关,调整出生前的影响后,OR 为 1.82(1.08,3.12)。此外,在调整其他空气污染物的影响后,高 O 暴露对 AW 的个体影响的 HR 为 2.44(1.53,3.89)。有趣的是,O 与其他污染物的主成分以及开窗特征变量的交互作用的 P 值均小于 0.1。此外,出生前第 31 周至第 37 周和出生后第 1 周至第 105 周 O 暴露的 IQR 增加与 AW 的 HR 增加相关。
出生后高水平的 O 暴露可能导致幼儿发生 AW。重要的是,AW 发病模型可能包括风险因素积累和敏感时期模型。具体而言,生命早期有两个敏感窗口,高水平 O 与其他污染物以及开窗在诱发哮喘效应之间存在相关影响。