首页> 外文会议>Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology >Prediction of wheezing at ages 3 and 7 and asthma at age 7 using quantified observational exposure data collected at age 1
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Prediction of wheezing at ages 3 and 7 and asthma at age 7 using quantified observational exposure data collected at age 1

机译:使用在1岁时收集的量化观察暴露数据,在7岁及7岁及7岁及7岁及哮喘的预测

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Although the association of observed dampness and mold with asthma is well established, most epidemiologic studies have used dichotomous metrics of observed mold that cannot assess exposure-response relationships. This study investigated specific exposure-response relationships within an ongoing birth cohort, the Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS) (n=762). The primary exposure variable was the maximum damaged surface in a home from water damage or mold. Potential confounding variables were identified with directed acyclic graphs. Logistic regression models were used to estimate odds ratios (ORs) between year 1 exposure and year-3 wheeze, year-7 asthma, and three wheeze outcomes at year-7: early transient (ETW), late onset (LOW), and persistent (PW) wheeze. Analyses were adjusted for income, race, presence of cockroach antigen, and reported presence of mice or rats. Potential interactions of exposure variables with water damage history and moldy odor were assessed. The upper quartile of individuals with any damage from water or mold had increased odds for year-7 asthma (OR=1.9, p<0.1), year-3 wheeze (OR=2.0, p=0.05) and year-7 PW (OR=3.3, p<0.01). Several significant interactions (p<0.05) were identified. The upper quartile of individuals with any damage from water or mold, when water damage history was absent, had increased odds for year-3 wheeze and year-7 ETW, and when moldy smell was absent, had increased odds for year-7 PW. Our data suggested that moldy odor and water damage history may be more important when there is little to no visible mold or water damage than in cases of higher levels of observed dampness or mold.
机译:尽管观察到的湿度和哮喘的患者的结合是很好的,但大多数流行病学研究已经使用了观察到的模具的二均法度量,不能评估暴露反应关系。本研究研究了持续的出生队列,辛辛那提儿童过敏和空气污染研究(CCAAPS)内的特定暴露 - 反应关系(n = 762)。主要曝光变量是水损坏或模具的房屋中的最大损坏表面。用指向非循环图识别潜在的混杂变量。 Logistic回归模型用于估算1年内暴露和3次喘息,年度-7哮喘之间的赔率比(或)和第7岁的哮喘和三次喘息成果:早期瞬态(ETW),晚期发作(低)和持久性(PW)喘息。分析调整了收入,种族,蟑螂抗原的存在,并报告了小鼠或大鼠的存在。评估了曝光变量与水损伤历史和发霉气味的潜在相互作用。患有水或霉菌或霉菌的任何损坏的个体的上四分位数增加了-7哮喘(或= 1.9,p <0.1),第3次喘息(或= 2.0,p = 0.05)和7 pw(或= 3.3,P <0.01)。确定了几种显着的相互作用(P <0.05)。随着水或霉菌的任何损坏的个体的上四分位数,当缺乏水损伤历史时,每年3次喘息和年7升,并且当不存在发霉的气味时,缺乏发霉的气味,持续增加了-7 pW的赔率。我们的数据表明,当没有比观察到的湿度或模具的更高水平的情况下没有明显的模具或水损伤时,发霉的气味和水损伤历史可能更为重要。

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