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. 2019 May 1;173(5):e190025.
doi: 10.1001/jamapediatrics.2019.0025. Epub 2019 May 6.

Association of Atopic Dermatitis With Sleep Quality in Children

Affiliations

Association of Atopic Dermatitis With Sleep Quality in Children

Faustine D Ramirez et al. JAMA Pediatr. .

Abstract

Importance: Pruritus, a hallmark of atopic dermatitis (AD), is thought to disrupt sleep, yet little is known about how variations in disease activity and severity of this common childhood condition may be associated with sleep patterns over time.

Objective: To determine whether children with active AD have impaired sleep duration and quality at multiple time points throughout childhood and whether disease severity affects sleep outcomes.

Design, setting, and participants: This longitudinal cohort study used data of children enrolled in the Avon Longitudinal Study of Parents and Children, a population-based birth cohort in Avon, United Kingdom. Participants were children (N = 13 988) alive at 1 year and followed up with repeated measures of self-reported AD and sleep through 16 years of age. This study was based on data collected from 1990 to 2008. Data analysis was performed from September 2017 to September 2018.

Main outcomes and measures: Standardized measure of sleep duration and composite measure of sleep quality, including nighttime awakenings, early morning awakenings, difficulty falling asleep, and nightmares, were repeated at multiple time points between 2 and 16 years of age.

Results: The study sample comprised 13 988 children (7220 male [51.6%]) followed up for a median (interquartile range [IQR]) duration of 11 (5-14) years. Of this total, 4938 children (35.3%) met the definition of having atopic dermatitis between 2 and 16 years of age. Total sleep duration was similar between children with active AD and without AD at all ages, and the average estimated difference across childhood was a clinically negligible difference of 2 minutes less per day for children with AD (95% CI, -4 to 0 minutes). In contrast, children with active AD were more likely to report worse sleep quality at all time points, with a nearly 50% higher odds of experiencing more sleep-quality disturbances (adjusted odds ratio [aOR], 1.48; 95% CI, 1.33 to 1.66). Children with more severe active disease (quite bad or very bad AD: aOR, 1.68; 95% CI, 1.42 to 1.98) and with comorbid asthma or allergic rhinitis (aOR, 1.79; 95% CI, 1.54 to 2.09) had worse sleep quality. However, even children with mild AD (OR, 1.40; 95% CI, 1.27 to 1.54) or inactive AD (OR, 1.41; 95% CI, 1.28 to 1.55) had statistically significantly increased odds of impaired sleep quality.

Conclusions and relevance: Atopic dermatitis appeared to be associated with impaired sleep quality throughout childhood; thus, it is suggested that clinicians should consider sleep quality among all children with AD, especially those with comorbid asthma or allergic rhinitis and severe disease, and that interventions to improve sleep quality are needed.

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Conflict of interest statement

Conflict of Interest Disclosures: Ms Ramirez reported receiving grants from the National Institutes of Health (NIH) during her work on this study. Dr Langan reported receiving grants from Wellcome Senior Clinical Fellowship in Science during his work on the study. Dr McCulloch reported receiving grants from the NIH during his work on the study. Dr Abuabara reported receiving grants for atopic dermatitis from the National Eczema Association, Dermatology Foundation, Robert Wood Johnson Foundation, and National Institute of Arthritis and Musculoskeletal and Skin Diseases, as well as paid consulting for TARGETPharma, a company developing a prospective atopic dermatitis registry. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Directed Acyclic Graph
A directed acyclic graph represents associations between covariates and primary exposure and outcome. Gray circles represent ancestors of the exposure and outcome (ie, confounders), blue circles represent ancestors of the outcome (ie, causal determinants of the outcome), and light blue circles represent unobserved (ie, latent) variables. Green lines represent causal paths, and gray lines represent biasing paths. The minimally sufficient adjustment set represents covariates such that the adjustment for this set of variables will minimize confounding bias when estimating the association between the exposure and the outcome. The minimally sufficient adjustment set was determined using the DAGitty software. Child comorbid asthma or allergic rhinitis was considered to be a collider, which was appropriately accounted for by adjusting for additional variables contained on the backdoor paths shared by this collider. The final minimally sufficient adjustment set comprised child sex, age, race/ethnicity, and comorbid asthma or allergic rhinitis; maternal age at delivery; socioeconomic status (SES); and household smoking exposure.
Figure 2.
Figure 2.. Proportion of Children With Active Atopic Dermatitis Experiencing Sleep-Quality Disturbances by Child Age
Proportion of children with active atopic dermatitis reporting each of the 4 sleep-quality disturbances based on cross-sectional data at different child ages.

Comment in

  • Causal Directed Acyclic Graphs.
    Lipsky AM, Greenland S. Lipsky AM, et al. JAMA. 2022 Mar 15;327(11):1083-1084. doi: 10.1001/jama.2022.1816. JAMA. 2022. PMID: 35226050 No abstract available.

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