Health Disparities in Pediatric Sleep

Lupini, Francesca; Williamson, Ariel A.

doi:10.1016/j.jsmc.2023.01.005

Cited by 6 publications

(1 citation statement)

References 101 publications

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“…From a socio-ecological perspective [ 29 ], there are likely rich interwoven links among multiple predictor domains [ 30 ] simultaneously with multiple aspects of sleep [ 31 , 32 ], i.e. many-to-many associations; however, much of the current literature focuses on the examination of one-to-one associations between predictors and sleep problems [ 6 , 12 , 19 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Data-driven, generalizable prediction of adolescent sleep disturbances in the multisite Adolescent Brain Cognitive Development Study

McCurry,

Toda-Thorne,

Taxali

et al. 2024

Sleep

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Study Objectives Sleep disturbances are common in adolescence and associated with a host of negative outcomes. Here we assess associations between multifaceted sleep disturbances and a broad set of psychological, cognitive, and demographic variables using a data-driven approach, canonical correlation analysis (CCA). Methods Baseline data from 9,093 participants from the Adolescent Brain Cognitive Development℠ (ABCD) Study were examined using CCA, a multivariate statistical approach that identifies many-to-many associations between two sets of variables by finding combinations for each set of variables that maximize their correlation. We combined CCA with leave-one-site-out cross-validation across ABCD sites to examine the robustness of results and generalizability to new participants. The statistical significance of canonical correlations was determined by non-parametric permutation tests that accounted for twin, family, and site structure. To assess the stability of the associations identified at baseline, CCA was repeated using two-year follow-up data from 4,247 ABCD Study participants. Results Two significant sets of associations were identified: 1) difficulty initiating and maintaining sleep and excessive daytime somnolence were strongly linked to nearly all domains of psychopathology (r-squared = 0.36, p < .0001); 2) sleep breathing disorders were linked to BMI and African American/Black race (r-squared = 0.08, p < .0001). These associations generalized to unseen participants at all 22 ABCD sites and were replicated using two-year follow-up data. Conclusions These findings underscore interwoven links between sleep disturbances in early adolescence and psychological, social, and demographic factors.

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