Urinary biomarkers of environmental exposures and asthma morbidity in a school inner city asthma study

IF 4.5 2区 医学 Q1 INFECTIOUS DISEASES International journal of hygiene and environmental health Pub Date : 2024-08-27 DOI:10.1016/j.ijheh.2024.114430
Marissa Hauptman , Medina S. Jackson-Browne , Stefanie Busgang , Syam S. Andra , Marisa A. Patti , Noelle B. Henderson , Paul Curtin , Susan L. Teitelbaum , Keith Acosta , Michelle Maciag , Jonathan M. Gaffin , Carter R. Petty , Robert O. Wright , Diane R. Gold , Wanda Phipatanakul
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Abstract

Background

The burden of pediatric asthma and other allergic diseases is not evenly distributed among United States populations.

Objective

To determine whether urinary biomarkers are associated with asthma morbidity, and if associations vary by child race, ethnicity and sex.

Methods

This study includes n = 152 children with physician-diagnosed asthma who participated in the School Inner-City Asthma Intervention Study (SICAS-2). Metabolites of phenol, paraben, polycyclic aromatic hydrocarbons, and phthalate analytes were analyzed from urine samples collected at baseline. Asthma symptom days over the past 2 weeks were dichotomized to no asthma symptom days or any asthma symptom days. Cross-sectional regression models were adjusted for age, sex, number of colds, household income, prescription control, race and ethnicity, body mass index (BMI) percentile, and smoke exposure. Weighted quantile sum regression was used to analyze each chemical class and a total mixture effect, controlling for the same covariates. Analyses were conducted with the assistance of the National Institute of Environmental Health Sciences Children's Health Exposure Analysis Resource (CHEAR).

Results

Participants were mostly Hispanic/Latino and low income with an average age of 7.83 years and the average maximum asthma symptom days over the past two weeks of 2.13 (standard deviation: 3.56). The maximum concentrations indicate extreme values for several chemicals, including bisphenol-3, 2,5-dichlorophenol, propyl and methyl parabens, triclosan, methyl paraben and cotinine. We found a significant interaction effect and differing contributions of analytes for children with allergen sensitivity versus those that did not. For stratified analyses assessing effect modification by child race and ethnicity, weighted quantile sum interaction models showed reduced odds of asthma symptoms to a greater magnitude in children of other races and ethnicities compared to Black, Non-Hispanic children.

Conclusions

Preliminary analyses of the association between environmental chemical exposure and asthma symptoms among inner-city children revealed an inverse association, which may be due to personal care and medication use and can be understood further in future analyses. Beneficial effects were detected for most of the chemicals.

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市内学校哮喘研究中环境暴露与哮喘发病率的尿液生物标志物
背景小儿哮喘和其他过敏性疾病的负担在美国人口中的分布并不均匀。目的确定尿液生物标志物是否与哮喘发病率相关,以及相关性是否因儿童的种族、民族和性别而异。从基线收集的尿样中分析了苯酚、苯甲酸酯、多环芳香烃和邻苯二甲酸酯的代谢物。过去两周内出现哮喘症状的天数被二分为无哮喘症状天数或有哮喘症状天数。横截面回归模型对年龄、性别、感冒次数、家庭收入、处方控制、种族和民族、体重指数 (BMI) 百分位数和吸烟情况进行了调整。在控制相同协变量的情况下,使用加权量子和回归分析每一类化学物质和总的混合物效应。分析是在美国国家环境健康科学研究所儿童健康暴露分析资源(CHEAR)的协助下进行的。结果参与者大多是西班牙/拉美裔和低收入人群,平均年龄为 7.83 岁,过去两周内出现哮喘症状的平均最大天数为 2.13 天(标准偏差:3.56)。最大浓度显示了几种化学物质的极端值,包括双酚-3、2,5-二氯苯酚、对羟基苯甲酸丙酯和甲基酯、三氯生、对羟基苯甲酸甲酯和可替宁。我们发现,对过敏原敏感的儿童与对过敏原不敏感的儿童之间存在明显的交互效应,且分析物的贡献率也不同。对于评估儿童种族和族裔影响修正的分层分析,加权量子总和交互模型显示,与黑人、非西班牙裔儿童相比,其他种族和族裔儿童出现哮喘症状的几率降低幅度更大。结论对城市内儿童环境化学暴露与哮喘症状之间关系的初步分析表明,两者之间存在反向关系,这可能与个人护理和药物使用有关,可在今后的分析中进一步了解。大多数化学物质都有益处。
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来源期刊
CiteScore
11.50
自引率
5.00%
发文量
151
审稿时长
22 days
期刊介绍: The International Journal of Hygiene and Environmental Health serves as a multidisciplinary forum for original reports on exposure assessment and the reactions to and consequences of human exposure to the biological, chemical, and physical environment. Research reports, short communications, reviews, scientific comments, technical notes, and editorials will be peer-reviewed before acceptance for publication. Priority will be given to articles on epidemiological aspects of environmental toxicology, health risk assessments, susceptible (sub) populations, sanitation and clean water, human biomonitoring, environmental medicine, and public health aspects of exposure-related outcomes.
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