Sleep enuresis is one of the most common sleep disturbances in childhood. Parental perception of deeper sleep in children with sleep enuresis is not confirmed by objective studies. However, evidence of disturbed sleep has been demonstrated by questionnaire, actigraphy, and polysomnographic studies, but no neurophysiological correlation with low arousability has been found. The goal of this study was to analyze the sleep microstructure of children with sleep enuresis using cyclic alternating pattern (CAP) analysis. Forty-nine children were recruited, 27 with enuresis (19 males and 8 females, mean age 9.78 years, 2.52 standard deviation) and 22 normal control patients (11 males and 11 females, mean age 10.7 years, 3.43 standard deviation); all subjects underwent clinical evaluation followed by a full-night polysomnographic recording. Psychiatric, neurological, respiratory, and renal diseases were excluded. No differences in sex, age, and apnea-hypopnea index were noted in the patients with enuresis and the control patients. Sleep stage architecture in children with sleep enuresis showed a decrease in percentage of stage N3 sleep. CAP analysis showed an increase in CAP rate in stage N3 sleep and in phase A1 index during stage N3 sleep in the sleep enuresis group, but also a significant reduction of A2% and A3% and of phases A2 and A3 indexes, supporting the concept of decreased arousability in patients with sleep enuresis. The decrease of phase A2 and A3 indexes in our patients might reflect the impaired arousal threshold of children with sleep enuresis. Sleep fragmentation might result in a compensatory increase of slow wave activity (indicated by the increase of CAP rate in stage N3 sleep) and may explain the higher arousal threshold (indicated by a decrease of phase A2 and A3 indexes) linked to an increased sleep pressure. The findings of this study indicate the presence of a significant disruption of sleep microstructure (CAP) in children with sleep enuresis, supporting the hypothesis of a higher arousal threshold.

Background This study aimed to investigate the presence of sleep disturbances in children with Prader-Willi syndrome (PWS) using the Sleep Disturbance Scale for Children (SDSC). Methods The SDSC, which was designed to identify the presence and severity of different sleep disorders, was applied to 50 patients with PWS and 112 controls. Results Patients with PWS achieved worse scores in the sleep-disordered breathing and disorders in initiating and maintaining sleep in the SDSC questionnaire as compared with controls. We also observed that patients with PWS were more prone to having hyperhidrosis. We did not observe significant differences in the presence of other types of sleep disorders (such as hypersomnolence) between the PWS and control groups. Conclusions The results obtained with the SDSC questionnaire showed that children with PWS have more sleep breathing disorders and disorders in initiating and maintaining sleep as compared to controls. Additionally, we demonstrated that patients with PWS associates significantly with the presence of hyperhidrosis during sleep. However, SDSC was not reliable to identify the excessive daytime somnolence in patients with PWS, as previously reported in the literature.

Introduction: The monitoring of autonomic nervous balance during childhood remains underexplored. However, heart rate variability (HRV) is widely recognized as a biomarker of health risk across the lifespan. Juvenile idiopathic arthritis (JIA), a group of chronic inflammatory joint disorders, is associated with persistent inflammation and pain, both of which contribute to increased cardiovascular risk, commonly linked to reduced HRV. Among HRV parameters, very-low frequency (VLF) components have been associated with physiological recovery processes. This study aimed to assess HRV during sleep in patients with JIA. Methods: We studied 10 patients with JIA and 10 age-, gender-, and Tanner stage-matched healthy controls. All participants underwent polysomnographic monitoring following an adaptation night in the sleep laboratory. HRV was analyzed using standard time and frequency domain measures over 5 min epochs across all sleep stages. Frequency components were classified into low- and high-frequency bands, and time domain measures included the standard deviation of the beat-to-beat intervals. Group differences in HRV parameters were assessed using nonparametric tests for independent samples, with a significance level set at p < 0.05. Results: JIA exhibited greater sleep disruption than controls, including reduced NREM sleep, longer total sleep time, and increased wake time after sleep onset. HRV analyses in both time and frequency domains revealed significant differences between groups across all stages of sleep. In JIA patients, the standard deviation of the normal-to-normal interval during slow wave sleep (SWS) and total power across all sleep stages (p < 0.05) was reduced. In JIA patients, the standard deviation of the normal-to-normal interval during slow wave sleep and total power across all sleep stages were significantly reduced (p < 0.05). VLF power was also significantly lower in JIA patients across all sleep stages (p = 0.002), with pronounced reductions during N2 and SWS (p = 0.03 and p = 0.02, respectively). A group effect was observed for total power across all stages, mirroring the VLF findings. Additionally, group differences were detected in LF/HF ratio analyses, although values during N2, SWS, and REM sleep did not differ significantly between groups. Notably, the number of affected joints showed a moderate positive correlation with the parasympathetic HRV parameter. Conclusions: Patients with JIA exhibited sleep disruption and alterations in cardiovascular autonomic functioning during sleep. Reduced HRV across all sleep stages in these patients suggests underlying autonomic nervous dysfunction. Addressing sleep disturbances in patients with chronic pain may serve as an effective strategy for managing their cardiovascular risk.

Objective: This scoping review aims to map the scientific literature of the last five years to characterize behavioral patterns in children with snoring and sleep-disordered breathing (SDB), ranging from primary snoring (PS) to obstructive sleep apnea syndrome (OSAS). The review seeks to identify the main diagnostic and assessment methods, differentiate the behavioral findings between PS and OSAS where possible, and pinpoint key research gaps. Methods: A systematic scoping review was conducted following the PRISMA-ScR guidelines. The PubMed/MEDLINE, LILACS, and SciELO databases were searched in April 2024 for observational studies published between 2019 and 2024 that addressed the coexistence of snoring and behavioral changes in the pediatric population. Only articles in English, Spanish, or Portuguese were analyzed. Data were charted and analyzed thematically to map the scope of the evidence. Results: The initial search yielded 129 articles, with 22 ultimately included in the final analysis. The findings reveal profound methodological heterogeneity. While questionnaires are universally applied (n = 22), polysomnography (n = 21) remains the gold standard for SDB diagnosis. Behavioral assessments were inconsistent, identifying a broad spectrum of externalizing (e.g., hyperactivity, aggression) and internalizing (e.g., anxiety, depression) problems, with no clear predominant pattern. Obesity and Down’s syndrome were the most frequently associated comorbidities. Conclusions: The literature reaffirms the strong correlation between SDB and adverse neurobehavioral outcomes in children. This association is present in primary snoring but is most pronounced in children with diagnosed OSAS. However, progress is constrained by a lack of standardization and, critically, a frequent failure to differentiate between PS and OSAS, which hinders clinical interpretation and evidence synthesis.