城市儿科社区样本中睡眠呼吸障碍相关症状负担的多层次风险因素

Seyni Gueye-Ndiaye MD , Marissa Hauptman MD, MPH , Xinting Yu MD, PhD , Le Li MS , Michael Rueschman MPH , Cecilia Castro-Diehl DrPH , Tamar Sofer PhD , Judith Owens MD, MPH , Diane R. Gold MD, MPH , Gary Adamkiewicz PhD, MPH , Nervana Metwali PhD , Peter S. Thorne PhD , Wanda Phipatanakul MD , Susan Redline MD, MPH
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引用次数: 0

摘要

背景小儿睡眠呼吸障碍(SDB)对社会经济地位(SES)较低的儿童的影响尤为严重。研究问题SDB风险因素(包括个人健康状况(肥胖、哮喘和过敏)、家庭SES(母亲教育程度)、室内暴露(环境烟草烟雾[ETS]和害虫)和邻里特征(邻里劣势))与小儿SDB症状之间存在哪些关联?研究设计与方法对2018年至2022年参加青少年睡眠环境评估研究的303名儿童(6-12岁)进行了横断面分析。通过护理人员的报告、对儿童卧室沉降尘埃的测定以及邻里一级的人口普查数据(得出儿童机会指数以描述邻里劣势)来确定暴露情况。主要结果是通过 OSA-18 问卷总分评估与 SDB 相关的症状负担。通过线性回归模型,我们计算了暴露与 SDB 相关症状负担之间的关系,并对社会人口因素、健康状况、室内环境和邻里因素进行了调整。结果样本包括 303 名儿童(39% 为西班牙裔、拉丁裔、拉美裔或西班牙血统;30% 为黑人或非裔美国人;22% 为白人;11% 为其他血统)。在对人口因素进行调整后,OSA-18 总分的增加与低家庭社会经济地位有关;在对社会人口因素进行调整后,OSA-18 总分的增加与哮喘、过敏、有害气体、害虫(老鼠、蟑螂和啮齿类动物)以及室内环境指数(害虫和有害气体存在的总和;0-2)有关。即使在进一步调整了哮喘、过敏和邻里劣势等因素后,排放有毒有害物质和虫害暴露仍与 OSA-18 相关(排放有毒有害物质:β = 12.80;95% CI,7.07-18.53,也根据虫害进行了调整;虫害暴露:β = 3.69;95% CI,0.44-6.94,也根据排放有毒有害物质进行了调整)。减少家庭接触有害环境气体和室内过敏原的策略应作为减少睡眠健康差异的方法进行测试。
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Multilevel Risk Factors for Sleep-Disordered Breathing-Related Symptom Burden in an Urban Pediatric Community-Based Sample

Background

Pediatric sleep-disordered breathing (SDB) disproportionately affects children with low socioeconomic status (SES). The multilevel risk factors that drive these associations are not well understood.

Research Question

What are the associations between SDB risk factors, including individual health conditions (obesity, asthma, and allergies), household SES (maternal education), indoor exposures (environmental tobacco smoke [ETS] and pests), and neighborhood characteristics (neighborhood disadvantage), and pediatric SDB symptoms?

Study Design and Methods

Cross-sectional analyses were performed on 303 children (aged 6-12 years) enrolled in the Environmental Assessment of Sleep Youth study from 2018 to 2022. Exposures were determined by caregiver reports, assays of measured settled dust from the child’s bedroom, and neighborhood-level Census data (deriving the Childhood Opportunity Index to characterize neighborhood disadvantage). The primary outcome was the SDB-related symptom burden assessed by the OSA-18 questionnaire total score. Using linear regression models, we calculated associations between exposures and SDB-related symptom burden, adjusting for sociodemographic factors, then health conditions, indoor environment, and neighborhood factors.

Results

The sample included 303 children (39% Hispanic, Latino, Latina, or Spanish origin; 30% Black or African American; 22% White; and 11% other). Increasing OSA-18 total scores were associated with low household SES after adjustment for demographic factors, and with asthma, allergies, ETS, pests (mouse, cockroach, and rodents), and an indoor environmental index (sum of the presence of pests and ETS; 0-2) after adjusting for sociodemographic factors. Even after further adjusting for asthma, allergies, and neighborhood disadvantage, ETS and pest exposure were associated with OSA-18 (ETS: β = 12.80; 95% CI, 7.07-18.53, also adjusted for pest; pest exposure: β = 3.69; 95% CI, 0.44-6.94, also adjusted for ETS).

Interpretation

In addition to associations with ETS, a novel association was observed for indoor pest exposure and SDB symptom burden. Strategies to reduce household exposure to ETS and indoor allergens should be tested as approaches for reducing sleep health disparities.

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