School of Public Health, University of Texas Health Science Center at Houston, Dallas Campus, Dallas.
Center for Pediatric Population Health, Children's Health System of Texas, Dallas.
JAMA Netw Open. 2020 Jun 1;3(6):e207728. doi: 10.1001/jamanetworkopen.2020.7728.
The prevalence of asthma in US children with various developmental disabilities and delays is unclear, including how estimates vary by ethnic group.
To report asthma prevalence estimates by various disability categories and developmental delays in a diverse sample of the US pediatric population.
DESIGN, SETTING, AND PARTICIPANTS: This population-based cross-sectional study encompassed a total of 71 811 families with children or adolescents aged 0 to 17 years (hereinafter referred to as children) who participated in the 2016 and 2017 National Survey of Children's Health. Data were collected from June 10, 2016, to February 10, 2017, for the 2016 survey and from August 10, 2017, to February 10, 2018, for the 2017 survey. Data were analyzed from September 20, 2019, to April 5, 2020.
Developmental disability, including attention-deficit/hyperactivity disorder, autism spectrum disorder, cerebral palsy, seizure, intellectual and/or learning disability, and vision, hearing, and/or speech delay. Delay was defined as not meeting growth milestones with unknown cause.
Weighted asthma prevalence estimates and 95% CIs were generated for children with and without disabilities.
A total of 71 811 participants (mean [SE] age, 8.6 [0.1] years; 36 800 boys [51.1%; 95% CI, 50.2%-52.0%]; 50 219 non-Hispanic white [51.4%; 95% CI, 50.6%-52.3%]) were included in our final analytical sample, of whom 5687 (7.9%; 95% CI, 7.5%-8.4%) had asthma and 11 426 (15.3%; 95% CI, 14.7%-16.0%) had at least 1 disability. Overall asthma prevalence estimates were 10 percentage points higher in children with a disability (16.1%; 95% CI, 14.3%-17.8%) vs children without a disability (6.5%; 95% CI, 6.0%-6.9%). The odds of asthma were significantly higher in children with a disability (odds ratio [OR], 2.77; 95% CI, 2.39-3.21) or delay (OR, 2.22; 95% CI, 1.78-2.77) vs typically growing children. Adjusted models remained significant for all disability categories (overall adjusted OR, 2.21; 95% CI, 1.87-2.62). Subgroup analyses showed ethnic minorities had a higher prevalence of concurrent asthma and developmental disabilities vs non-Hispanic whites (19.8% [95% CI, 16.6%-23.0%] vs 12.6% [95% CI, 11.1%-14.0%]; P < .001).
These results suggest that US children with various developmental disabilities or delay may have higher odds for developing asthma vs their typically developing peers. These findings support asthma screening in pediatric health care settings among patients with developmental disabilities and delays, particularly among those from ethnic minority backgrounds. In addition, very young children with asthma should be screened for disabilities and delays, because temporality cannot be determined by the current data source and analytical approach.
美国患有各种发育障碍和延迟的儿童的哮喘患病率尚不清楚,包括按种族群体的估计值如何有所不同。
报告在具有不同种族背景的美国儿科人群中,根据各种残疾类别和发育迟缓情况的哮喘患病率估计值。
设计、地点和参与者:本基于人群的横断面研究共纳入了 71811 个有 0 至 17 岁儿童或青少年的家庭(以下简称儿童),他们参加了 2016 年和 2017 年的全国儿童健康调查。数据于 2016 年 6 月 10 日至 2017 年 2 月 10 日收集,用于 2016 年的调查,2017 年的调查于 2017 年 8 月 10 日至 2018 年 2 月 10 日收集。数据分析于 2019 年 9 月 20 日至 2020 年 4 月 5 日进行。
发育障碍,包括注意力缺陷/多动障碍、自闭症谱系障碍、脑瘫、癫痫、智力和/或学习障碍以及视力、听力和/或言语延迟。延迟定义为存在未知原因而未达到生长里程碑。
为有和没有残疾的儿童生成了加权哮喘患病率估计值和 95%置信区间。
共有 71811 名参与者(平均[SE]年龄,8.6[0.1]岁;36800 名男孩[51.1%;95%CI,50.2%-52.0%];50219 名非西班牙裔白人[51.4%;95%CI,50.6%-52.3%])纳入了我们的最终分析样本,其中 5687 名(7.9%;95%CI,7.5%-8.4%)患有哮喘,11426 名(15.3%;95%CI,14.7%-16.0%)患有至少 1 种残疾。与没有残疾的儿童相比(6.5%;95%CI,6.0%-6.9%),有残疾的儿童的哮喘总体患病率估计值高 10 个百分点(16.1%;95%CI,14.3%-17.8%)。有残疾(优势比[OR],2.77;95%CI,2.39-3.21)或延迟(OR,2.22;95%CI,1.78-2.77)的儿童患哮喘的可能性显著高于一般发育儿童。所有残疾类别(整体调整后 OR,2.21;95%CI,1.87-2.62)的调整模型仍然显著。亚组分析显示,与非西班牙裔白人相比,少数民族同时患有哮喘和发育障碍的患病率更高(19.8%[95%CI,16.6%-23.0%] vs 12.6%[95%CI,11.1%-14.0%];P<0.001)。
这些结果表明,美国患有各种发育障碍或延迟的儿童可能比其正常发育的同龄人更有可能患上哮喘。这些发现支持在儿科保健环境中对发育障碍和延迟的患者进行哮喘筛查,尤其是对少数民族背景的患者。此外,患有哮喘的非常年幼的儿童应接受残疾和延迟的筛查,因为目前的数据源和分析方法无法确定时间顺序。