Sleep disordered breathing and neurobehavioral deficits in children and adolescents: a systematic review
Weiyu Zhang1, Yubin Shen1, Xiwen Ou1
1Department of Respiratory Medicine and Sleep Lab, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, China.
Insights
Sleep disordered breathing (SDB) significantly impacts children's neurobehavioral health. This study found that SDB may account for up to 19.8% of neurobehavioral deficits in children and adolescents.
Area of Science:
- Pediatric Neurology
- Sleep Medicine
- Public Health
Background:
- Sleep disordered breathing (SDB) is linked to neurobehavioral deficits in children and adolescents.
- Quantifying the proportion of these deficits attributable to SDB is crucial for public health initiatives.
Approach:
- A systematic review and meta-analysis were conducted using data from electronic databases.
- Population attributable fractions (PAFs) were calculated using Levin's and Miettinen's formulas.
- Prevalence of SDB and risk of SDB-related neurobehavioral deficits were analyzed.
Key Points:
- SDB prevalence was 11% in the general pediatric population and 25% in neurobehavioral patients.
- SDB diagnosis increased the risk of subsequent neurobehavioral deficits by approximately threefold (RR 3.24).
- PAFs indicated that 19.8% (Levin's) or 17.3% (Miettinen's) of neurobehavioral consequences may be attributed to SDB.
Conclusions:
- A significant proportion of neurobehavioral consequences in children and adolescents may be attributable to SDB.
- Timely identification and treatment of SDB are essential for managing neurobehavioral impairments.
- Further longitudinal studies are needed to confirm the SDB-neurobehavioral deficit association.
Background:
Sleep disordered breathing (SDB) is broadly recognized to be associated with neurobehavioral deficits, which have significant impacts on developing-aged children and adolescents. Therefore, our study aimed to quantify the proportion of neurobehavioral impairments attributed to SDB in general children and adolescents by population attributable fraction (PAF).
Methods:
The study was registered at PROSPERO (ID: CRD42023388143). We collected two types of literature on the prevalence of SDB and the risk of SDB-related neurobehavioral deficits from ten electronic databases and registers, respectively. The pooled effect sizes (Pe, Pc, RR) by random-effects meta-analysis were separately substituted into Levin's formula and Miettinen's formula to calculate PAFs.
Results:
Three prevalence literature and 2 risk literature, all with moderate/high quality, were included in the quantitative analysis individually. The prevalence of SDB was 11% (95%CI 2%-20%) in children and adolescents (Pe), while the SDB prevalence was 25% (95%CI 7%-42%) in neurobehavioral patients (Pc). SDB diagnosis at baseline was probably associated with about threefold subsequent incidence of neurobehavioral deficits (pooled RR 3.24, 95%CI 1.25-8.41), after multi-adjustment for key confounders. Up to 19.8% or 17.3% of neurobehavioral consequences may be attributed to SDB from Levin's formula and Miettinen's formula, respectively.
Conclusions:
A certain number of neurobehavioral consequences may be attributable to SDB. It is essential for clinicians to identify and treat SDB timely, as well as screen for SDB in patients with neurobehavioral impairments. More longitudinal studies of SDB and neurobehavioral deficits are needed in the future to further certify the association between them.
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