Pediatric Daytime Sleepiness Scale Research Articles

Sleep Hygiene Intervention Improves Sleep Time and Duration in High School Students

Abstract Objective To evaluate the effects of a sleep hygiene education program for adolescents to address excessive daytime sleepiness, insomnia, and sleep-related behaviors. Materials and Methods The participants were 98 high school students from the 11th and 12th grades. A day-long health promotion action was conducted at their school science fair to disseminate relevant information about sleep disorders. Social status and sleep perception and habits were evaluated through the following validated questionnaires: the Brazilian Economic Classification Criteria, a questionnaire on sleep habits for adolescents, the Pediatric Daytime Sleepiness Scale, the Insomnia Severity Index, and the Sleep Time-Related Information and Communication Technology questionnaire. The questionnaires were administered before the fair and 12 months after participation, and the results before and after the intervention were compared by means of the Student t-test and the Fisher exact test. For the correlations involving the results, the Pearson correlation was used with the level of significance of p < 0.05. Results A qualitative reduction in poor bedtime habits was observed after the intervention, such as watching television and leaving a cell phone on with sound. A higher frequency of use of electronic devices can affect school performance and contribute to later bedtime on weekends (p < 0.001). Excessive daytime sleepiness was correlated with the excessive use of electronic devices (p = 0.017). Conclusion Some habits changed after the awareness intervention. There was an impact of the use of electronic devices on academic performance, on the regularity of bedtimes, and on excessive daytime sleepiness. We emphasize the importance of health education programs with sustainable actions following actual changes in behavior.

Neurobehavioral Phenotype of Children With Congenital Myotonic Dystrophy.

To describe the neurobehavioral phenotype of congenital myotonic dystrophy. Congenital myotonic dystrophy (CDM) is the most severe form of myotonic dystrophy, characterized by symptom presentation at birth and later, cognitive impairment, autistic features, and disordered sleep. The neurobehavioral phenotype was assessed in this cross-sectional study by a neuropsychological battery consisting of the Wechsler Preschool and Primary Scale of Intelligence, Third Edition, Weschler Intelligence Scale for Children, Fourth Edition, Vineland Adaptive Behavior Scale, Second Edition (Vineland-II), Behavior Rating Inventory of Executive Function including preschool and teacher reports, Autism Spectrum Screening Questionnaire, Social Communication Scale, and Repetitive Behavior Scale-Revised. Sleep quality was evaluated with the Pediatric Sleep Questionnaire and Pediatric Daytime Sleepiness Scale. Fifty-five children with CDM, ages 5 weeks to 14 years, were enrolled. The mean age and (CTG)n repeats (±SD) were 6.4 ± 3.8 years and 1,263 ± 432, respectively. The mean IQ was 64.1 ± 14.9 on the Weschler scales with 65.6% of participants falling in the extremely low range for IQ. Adaptive functioning was significantly low for 57.1% of participants (n = 20). Caregiver report of executive functioning indicated 23.1% (9/39) of participants had clinically elevated levels of dysfunction, though teacher report was discrepant and indicated 53.3% of participants with CDM fell in this range (8/15). Spearman correlations were strongly positive (p ≤ 0.05) for estimated full scale IQ, overall adaptive functioning and with daily living and socialization domain standard scores on the Vineland-II ranging from r = 0.719 to r = 0.849 for all ages. Aspects of executive function were directly related to features of autism and sleep quality. Social communication was inversely related to all aspects of daily functioning, except communication, and directly related to aspects of autism behavior. Depressed IQ, adaptive skills, and executive functioning, poor sleep quality, and features of autism and altered social functioning individually describe different aspects of the neurobehavioral phenotype in CDM. These neurobehavioral and sleep measures could help quantitatively measure and assess the burden of cognitive impairment in CDM.

Comparative Analysis of Sleep Hygiene and Patterns among Adolescents in Two Russian Arctic Regions: A Pilot Study.

The circumpolar habitat stands as one of the most vulnerable environments for human activity and health. The primary study objective was to compare sleep-related factors, light exposure, social cues, and potential confounding variables among schoolchildren residing in the European Arctic region from two settlements situated below and above the Polar Circle using validated self-reported questionnaires. We recruited 94 children aged 13-15 years (40.4% males), matched by sex and age, from public educational institutions in two circumpolar settlements located below (Kem', Republic of Karelia; 64.6 NL) and above the Polar Circle (Apatity, Murmansk Region; 67.3 NL). Participants completed several surveys, including the Pediatric Daytime Sleepiness Scale, the Insomnia Severity Index, the Adolescent Sleep Hygiene Scale, and the Munich ChronoType Questionnaire, to evaluate sleep parameters and chronotype. The χ2 test was used to test for differences between proportions. Linear regression and multiple regression models with co-factors were applied to assess the relationship between studied indicators. A noteworthy increase in physical activity was observed in children residing in Kem' compared to those in Apatity. Children from Apatity showed higher alcohol consumption than their counterparts from Kem'. The overall rate of excessive daytime sleepiness in the sample was 17.1%. Moderate insomnia symptoms were reported in 18.4% of adolescents living in Kem' and in 25% of respondents living in Apatity, respectively. Notably, participants from Kem' attained higher academic scores and had longer exposure to sunlight on schooldays. On the other hand, children from Apatity tended to have later bedtimes and sleep-onset times on schooldays. According to the Munich ChronoType Questionnaire data, a reliance on alarm clocks on schooldays, and a higher Sleep Stability Factor based on the Adolescent Sleep Hygiene Scale. Our study indicating that higher physical activity and longer sunlight exposure among Kem' children on schooldays are associated with earlier wake-up times during schooldays, earlier bedtime whole week, reduced dependence on alarm clocks, and higher academic achievements. The results of older schoolchildren differ from many works published previously in the USA, Argentina, and Japan, which could be explained by the season when the study was performed. Here, we observed a negative impact on school performance and sleep parameters in children living in high latitudes, namely in circumpolar regions. Our study points out that adolescents living above the Polar Circle tend to have sleep problems, e.g., late sleep-onset times, higher excessive daytime sleepiness, and insomnia-related symptoms, because of experiencing reduced exposure to natural light. Future research encompassing assessments across all four seasons will provide a more comprehensive understanding.

Relationships between internet addiction, quality of life and sleep problems: a structural equation modeling analysis

ObjectiveTo assess the relationship between internet addiction, quality of life, and sleep problems among adolescents. MethodThis research was conducted with a representative sample of 875 adolescents. This cross-sectional study used the Internet Addiction Test, Pediatric Quality of Life Inventory™ version 4.0, Pediatric Daytime Sleepiness Scale, and sleep duration. Sociodemographic factors were also analyzed. Structural equation modeling was used to investigate relationships between variables. ResultsAfter adjusting the model for covariances between the latent variables of daytime sleepiness and correlations between the physical and emotional domains of quality of life, the authors obtained satisfactory fit indices (RMSEA = 0.031, CFI = 0.926, TLI = 0.909, SRMR = 0.058). Internet addiction was positively associated with daytime sleepiness (rho = 0.549, p < 0.001) and negatively associated with quality of life (rho = −0.173, p < 0.001). By contrast, sleep duration was negatively associated with daytime sleepiness (rho = −0.089, p = 0.007), positively associated with quality of life (rho = 0.105, p = 0.014), and dependent on school shift (rho = 0.453, p < 0.001). ConclusionsAdolescents with higher levels of internet addiction had lower perceptions of quality of life and higher daytime sleepiness. Moreover, sleep duration had a positive correlation with quality of life. Given its detrimental effects on quality of life and daytime sleepiness, parents should better supervise internet use in adolescents.

Internet Addiction, Sleep Habits and Family Communication: The Perspectives of a Sample of Adolescents.

With the increase in communication technologies, the internet has become an indispensable tool in the life of the individual. Several studies report on the advantages of this resource; however, there is still a group of individuals who use the internet excessively. The aim of this study was to explore the relationships between internet addiction, daytime sleepiness, and family communication in adolescents. A total of 340 adolescents aged between 12 and 17 years participated in this study. All completed the sociodemographic questionnaire, the internet addiction test, the pediatric daytime sleepiness scale, and the family communication scale. The results indicate that 64.1% of the adolescents had mild to moderate addiction to the internet. The main results suggest that internet addiction in adolescents is negatively associated with family communication and positively associated with excessive daytime sleepiness. It was also observed that gender had a significant effect on daytime sleepiness, with female participants having more excessive daytime sleepiness. Regarding age, the results indicate higher values of internet addiction among younger adolescents. In view of the above, it is considered important to develop preventive actions with a view to healthy family communication, with the adoption of sleep hygiene habits and the promotion of healthy use of the internet.

O028 Worsened sleep and mood after initiating elexacaftor/tezacaftor/ivacaftor treatment in children with cystic fibrosis

Abstract Background CFTR modulator Elexacaftor/tezacaftor/ivacaftor (ETI) significantly improves lung function and but its effect on mental health and sleep remains poorly understood. We report sleep, mood and respiratory health outcomes of adolescents with CF with ETI therapy. Methods We conducted a prospective longitudinal study of 31 adolescents (aged 10 to 18 years) from July 2021 to October 2022. Data collected include demographics, pediatric daytime sleepiness scale (PDSS), sleep disturbance scale for children (SDSC), patient health questionnaire-9 (PHQ-9), generalised anxiety disorder-7 (GAD-7) scores and FEV1 percent predicted. Results Paired-T testing demonstrated a significant improvement in FEV1, whereas PDSS, PHQ-9, and GAD-7 scores worsened following ETI therapy, but did not reach statistical significance. SDSC scores marginally reduced. Ten percent of participants developed new onset sleep concerns and new mood concerns developed in 10% following ETI initiation. Conclusion/Outcome This is the first prospective longitudinal study of sleep and mood changes with ETI in adolescents with CF. ETI does not improve sleep and mood in the same way as respiratory health outcomes.

Impact of school start time and sleep pattern of adolescents on their mood and sleep quality

Objective: The physiological delay in bedtime among adolescents, compounded with the early start of school, results in insufficient sleep, especially on school days. The present study compared the sleep pattern and moods of students attending two schools with different start timing. Materials and Methods: The study involved adolescents from two schools with different start times: School A (7 am) and School B (8 am). Pittsburgh Sleep Quality Index, Depression Anxiety Stress Scales-21, and Pediatric Daytime Sleepiness Scale questionnaires were used to assess students’ mood, sleep duration, sleep quality, and daytime sleepiness. The clinical trial registry number is CTRI/2022/06/043556. Result: A total of 640 students (mean age 13.7 ± 2.0 years; 47.5% male) participated in this study. Students from School B had longer sleep duration, with 72.9% reporting sleep deprivation compared to 87.1% of School A (P = 0.00001). School A students reported having (P ≤ 0.001) higher daytime sleepiness, higher daytime dysfunction (P = 0.023), and poorer sleep quality. Students at School A scored higher for all mood derangements, with significantly higher scores for depression (P = 0.041). Conclusion: The study illustrates that though not much differences are observed in the bedtime of adolescents of the two schools, however, due to the early school start time of School A, students have to compulsorily wake up early, leading to higher sleep deprivation and greater mood derangements among them.

Longitudinal course and outcome of social jetlag in adolescents: A 1-year follow-up study of the adolescent sleep health epidemiological cohorts.

The discrepancy in sleep timing between weekdays and weekends - social jetlag (SJL) - is known to negatively affect student quality of life (QOL). However, the association between social jetlag and physical/mental QOL among adolescents and the precise effect of social jetlag on depressive symptoms and daytime sleepiness remains unknown. This study investigated the longitudinal course, risk factors, and effects of social jetlag, a circadian misalignment, in a school-based cohort. The participants were 427 students (13.3 ± 0.6 years, 45.2% girls) from five junior high schools. We performed a baseline survey in 2019 and a 1-year follow-up survey in 2020. Depressive symptoms, QOL, and daytime sleepiness were assessed using the Birleson Depression Self-Rating Scale for Children, Paediatric Quality of Life Inventory, and Paediatric Daytime Sleepiness Scale. In the baseline survey, 49.6% of the students reported SJL ≥1 h, and 17.1% reported SJL ≥2 h. Among them, 37.2% and 6.8% reported persistent SJL at follow-up, respectively. New incidences of SJL ≥1 h were associated with older age, non-attainment of menarche or voice changes, and longer duration of smartphone use, whereas its persistence was associated with a later chronotype. Persistence of SJL ≥1 h and ≥2 h predicted depressive symptoms and daytime sleepiness at follow-up, whereas new incidences of SJL ≥2 h predicted lower QOL. In conclusion, social jetlag has a persistent course, and daytime functioning can deteriorate as social jetlag becomes chronic. Our findings suggest the need for intensive interventions for social jetlag among adolescents.

Development and validation of the narcolepsy severity scale in school aged children

ObjectiveTo develop and psychometrically test the pediatric narcolepsy severity scale (P-NSS) for pediatric with narcolepsy type 1 (NT1). MethodsItem pool was formed based on literature review, clinical judgement of the expert panel and input of the narcoleptic patients and their parents. Psychometric properties were evaluated after applying the P-NSS in a sample of 200 patients (8–18 years age) with narcolepsy. Analyses included item analysis, validity analysis and reliability analysis. ResultsP-NSS consisted four factors with a total of 17 items. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) revealed four distinct and theoretically coherent factors, explaining 63.4% of the total variance. The fitting results of the CFA model were χ2/dƒ = 2.235, GFI = 0.876, AGFI = 0.822, RMSEA = 0.079, TLI = 0.908, CFI = 0.927. P-NSS score is correlated with Pediatric Daytime Sleepiness Scale (r = 0.512, P < 0.01), Epworth Sleepiness Scale for Children and Adolescents (r = 0.355, P < 0.01) and Narcolepsy quality-of-life instrument with 21 questions (r = −0.512, P < 0.01). Cronbach's α coefficient for P-NSS and four dimensions were from 0.732 to 0.915. The split-half reliability was 0.882 (P < 0.01). ConclusionP-NSS is proved to be a reliable and valid measure for Chinese children with NT1. It may serve in China as a valuable and easily accessible outcome measure for using in narcolepsy trials, the clinic with improved responsiveness and long term follow-up.

Safety and efficacy of pitolisant in children aged 6 years or older with narcolepsy with or without cataplexy: a double-blind, randomised, placebo-controlled trial

Narcolepsy is a life-long disorder characterised by excessive daytime sleepiness and cataplexy, often arising in childhood or adolescence. Pitolisant, a selective histamine H3 receptor inverse agonist, has been approved in Europe and USA for adults with narcolepsy with or without cataplexy, with a favourable safety profile. This phase 3 study aimed to assess the safety and efficacy of pitolisant in children with narcolepsy with or without cataplexy. For this double-blind, randomised, placebo-controlled, multisite study, we recruited patients aged 6-17 years with narcolepsy with or without cataplexy in 11 sleep centres in five countries (Italy, France, Netherlands, Russia, and Finland). Participants were required to have a Pediatric Daytime Sleepiness Scale score of 15 or greater and to have not received psychostimulants for at least 14 days before enrolment; participants who needed anticataplectics (including sodium oxybate) were required to have been on a stable dose for at least 1 month. Participants were randomly assigned to treatment with pitolisant or placebo in a 2:1 ratio at the end of screening. Randomisation was stratified by study centre and treatment was allocated using an interactive web response system. After a 4-week screening period including a 2-week baseline period, patients entered in a 4-week individual up-titration scheme from 5 mg a day to a maximum of 40 mg a day of pitolisant or placebo; treatment was administered at a stable dose for 4 weeks, followed by a 1-week placebo period. For the primary analysis, we assessed pitolisant versus placebo using change in the Ullanlinna Narcolepsy Scale (UNS) total score from baseline to the end of double-blind period in the full analysis set, defined as all randomly allocated patients who received at least one dose of treatment and who had at least one baseline UNS value. A decrease in the UNS total score reflects a reduction in both excessive daytime sleepiness and cataplexy. All adverse events were assessed in the safety population, defined as all participants who took at least one dose of study medication. An open-label follow-up is ongoing. This study is registered at ClinicalTrials.gov, NCT02611687. Between June 6, 2016, and April 3, 2021, we screened 115 participants and 110 were randomly assigned (mean age 12·9 [SD 3·0] years, 61 [55%] male, and 90 [82%] with cataplexy; 72 assigned to pitolisant and 38 to placebo); 107 (70 receiving pitolisant and 37 receiving placebo) completed the double-blind period. The mean adjusted difference in UNS total score from baseline to the end of the double-blind period was -6·3 (SE 1·1) in the pitolisant group and -2·6 (1·4) in the placebo group (least squares mean difference -3·7; 95% CI -6·4 to -1·0, p=0·007). Treatment-emergent adverse events were reported in 22 (31%) of 72 patients in the pitolisant group and 13 (34%) of 38 patients in the placebo group. The most frequently reported adverse events (affecting ≥5% of patients) in either group were headache (14 [19%] in the pitolisant group and three [8%] in the placebo group) and insomnia (five [7%] in the pitolisant group and one [3%] in the placebo group). Pitolisant treatment resulted in an improvement in narcolepsy symptoms in children, although the UNS was not validated for use in children with narcolepsy when our study began. The safety profile was similar to that reported in adults but further studies are needed to confirm long-term safety. Bioprojet.

Screen use, sleep duration, daytime somnolence, and academic failure in school-aged adolescents.

In this study, we examined the relationship between screen time use, sleep characteristics, daytime somnolence, and academic performance in school-aged adolescents. We surveyed 1,257 12- to 18-year-old adolescents attending 52 schools in urban or suburban areas of Argentina. We recorded the daily exposure to various screen-based activities, including video- and online-gaming, social media, TV or streaming. Screen time and device type in the hour before bedtime, sleep patterns during weekdays and weekends, somnolence (Pediatric Daytime Sleepiness Scale score), and grades in language and mathematics were also assessed. Structural Equation Modelling was used to identify a path connecting the latent variables. Results are expressed as standardized regression weights (srw). Missing data were present in 393 subjects, and thus the final sample consisted of 864 complete responses. Daytime somnolence (i.e., PDSS score ≥ 15) was observed in 614 participants (71%), and academic failure (i.e., grades < 7/10) in 352 of them (41%). Time spent using video gaming consoles was negatively associated with sleep duration (srw = -0.22, p<0.01) and positively connected with daytime somnolence (srw = 0.11, p<0.01). Use of mobile devices was associated with lower academic performance (srw = -0.11, p<0.01). Sleep duration was inversely related to daytime somnolence (srw = -0.27, p<0.01), which was in turn negatively associated with academic performance (srw = -0.18, p<0.05). Bedtime computer use did not influence any outcome. In summary, among adolescents, screen use adversely affected nighttime sleep, daytime somnolence, and academic performance. These findings call for the implementation of educational public campaigns aimed at promoting healthy sleep and reducing screen exposure among adolescents.

An Independent Evaluation of the Psychometric Properties of the Russian Version of the Pediatric Daytime Sleepiness Scale (PDSS).

The quality of sleep significantly impacts children's day-to-day performance, with at least 20% reporting issues with sleepiness. Valid tools for assessing the quality of sleep are needed. In this study, we assessed the psychometric properties of the Russian version of the Pediatric Daytime Sleepiness Scale (PDSS). The initial adaptation of the PDSS was conducted on a sample from the Arctic regions of Russia. This location may have influenced the scale's generalizability due to variations in natural daylight across different areas of the country. To rectify this, we gathered a comprehensive, geographically diverse sample from Russia. This combined dataset comprised 3772 participants between 10 to 18 years of age, from nine different regions of Russia. We confirmed the unifactorial structure of the PDSS, which showed no regional effects. The psychometric analysis indicated that one item from the 8item PDSS could be removed, thereby improving the scale's model fit. We also observed gender and age impacts on sleep quality: boys reported fewer sleep-related issues than girls, and younger children reported fewer problems than older children. This study validates the usefulness and reliability of the Russian version of the PDSS, thereby enhancing its general applicability. Furthermore, we replicated previously reported age and sex effects on the sleep quality of school-aged children.

Factors that influence morningness-eveningness and daytime sleepiness: A cross-cultural comparison of Iranian and Brazilian adolescents

ABSTRACT As adolescents get older, they become more evening oriented and, because they are usually expected to wake early to attend school, they often present daytime sleepiness, which is associated with negative outcomes. It is still unclear if this is similar cross-culturally. Here, we studied morningness-eveningness and daytime sleepiness in early adolescence from two different developing nations (Brazil and Iran). A total sample of 697 Iranian and Brazilian early adolescents (9- to 15-year-old; 358 boys) from Tehran, Iran, and São Paulo, Brazil, varying in age and parental schooling (a proxy of socioeconomic status: SES) completed the Morningness–Eveningness Scale for Children (MESC) and the Pediatric Daytime Sleepiness Scale (PDSS) and reported their total sleep time on school nights. They also filled in the Pubertal Developmental Scale to determine their pubertal status. A negligible cross-cultural difference in morningness-eveningness was found, indicating that Brazilians showed a slight circadian-phase delay compared with Iranians throughout all tested ages. There was also seen a very slight increase in phase delay as early adolescents aged, indicative of more eveningness. However, there were no country differences in daytime sleepiness once total sleep time during school nights was controlled for, which was the only factor that affects PDSS scores.

THE SEVERITY OF ALLERGIC RHINITIS IS RELATED TO SLEEP DISTURBANCES IN KOREAN CHILDREN AND ADOLESCENTS

<h3>Introduction</h3> In children and adolescents, disturbed sleep is known to impair quality of life. We evaluated the relationship between the severity of allergic rhinitis (AR) according to ARIA guidelines and sleep disturbances in Korean children and adolescents. <h3>Methods</h3> One hundred sixty-three allergic rhinitis patients were enrolled in this Korean Allergic Rhinitis Cohort study (KoARCo) between December 2019 and November 2020. Korean version of Pediatric Daytime Sleepiness Scale (PDSS) and Pediatric Sleep Questionnaire (PSQ) were assessed. <h3>Results</h3> According to ARIA guideline, patients with mild AR were 53.7% and moderate-severe AR were 46.3%. Meanwhile, patients with intermittent AR were 32.7% and persistent AR were 67.3%. The PDSS score for 3 out of 8 questions and the total PDSS score were higher in the patients with moderate-severe AR than mild AR. The moderate-severe AR group has more responses with sleep impairments in the 2 items of the PSQs. <h3>Conclusion</h3> Sleep disturbances were related to the severity of AR in children and adolescents in Korea. Therefore, AR should be controlled.to prevent sleep disturbances and improve quality of life.

The impact of sleep-corrected social jetlag on mental health, behavioral problems, and daytime sleepiness in adolescents

Study objectivesThis study aimed to examine the effect of sleep-corrected social jetlag (SJLsc) on mental health, behavioral problems, and daytime sleepiness in adolescents. MethodsThis was a cross-sectional study which included 4787 adolescents (Mean age: 14.83±1.6y, 56.0% girls) recruited from 15 secondary schools in Hong Kong. SJLsc was defined as the absolute difference between sleep-corrected midsleep on weekdays and weekends, at which the sleep debt has been considered. It was classified into three groups: low-level (“LSJLsc”, <1h), mid-level (“MSJLsc”, ≥1h and <2h), and high-level of SJLsc (“HSJLsc”, ≥2h). Adolescents’ mental health, behavioral problems and daytime sleepiness were measured by the General Health Questionnaire (GHQ-12), the Strengths and Difficulties Questionnaire (SDQ) and the Pediatric Daytime Sleepiness Scale (PDSS). Logistic regression analysis and restricted cubic spline regression (RCS) analysis were applied with consideration of confounders including age, gender, puberty and sleep problems. ResultsNearly half (46.9%) of adolescents had SJLsc for at least 1 h. Greater SJLsc was associated with more behavioral difficulties (MSJLsc: OR: 1.20, p = 0.03; HSJLsc: OR: 1.34, p = 0.02) when controlling for age, sex, puberty, chronotype, insomnia, and time in bed. There was a dose-response relationship in which higher SJLsc had an increased risk of conduct problems and hyperactivity, while only high-level SJLsc was associated with a peer relationship problem. In RCS analysis, SJLsc was associated with a higher likelihood of behavioral difficulties (p = 0.03) but not poor mental health or daytime sleepiness. ConclusionsSleep-corrected social jetlag was a unique risk factor for behavioral problems in adolescents. Our findings highlighted the need for interventions to promote healthy sleep-wake patterns in school adolescents.

Daytime sleepiness in elementary school students: the role of sleep quality and chronotype.

ABSTRACTOBJECTIVE To investigate the occurrence of daytime sleepiness and associated sleep factors in a sample of elementary school students who attended school in the afternoon schedule.METHODS Sleep data from 363 Brazilian public school students (12.78 ± 1.36 years, 206 girls) were obtained by applying questionnaires in classrooms. All subjects attended school in the afternoon schedule, with classes starting between 1:00 and 1:20 p.m. Daytime sleepiness was assessed by the pediatric daytime sleepiness scale; sleep quality, by the mini-sleep questionnaire; and sleep patterns and chronotypes, by the Munich chronotype questionnaire. Scores equal to or greater than 15 pediatric daytime sleepiness scale points were considered as excessive daytime sleepiness. The predictive power of sleep variables on daytime sleepiness was evaluated by a multiple linear regression.RESULTS The subjects in the sample had an average time in bed greater than nine hours both on school days and on weekends. Nevertheless, 52.1% had an average pediatric daytime sleepiness scale score equal to or greater than 15 points, indicative of excessive daytime sleepiness. As for their quality of sleep, 41.1% had a very altered sleep. We observed, by a multiple linear regression, that quality of sleep (β = 0.417), chronotype (β = 0.174), mid-sleep on school days (β = 0.138), and time in bed (β = - 0.091) were all significant in predicting daytime sleepiness.CONCLUSION This study showed the occurrence of excessive daytime sleepiness in non-sleep deprived students who attended school in the afternoon. The worst quality of sleep and eveningness had a greater predictive power on daytime sleepiness than time in bed. Therefore, we must consider other factors in addition to sleep duration when planning interventions for daytime sleepiness.

Sleep quality and obstructive sleep apnoea in Indigenous and non-Indigenous Australian children

BackgroundLiterature pertaining to the prevalence of obstructive sleep apnoea (OSA) and sleep quality among Indigenous Australian children is sparse. This study assessed various sleep related parameters and outcomes between Indigenous and non-Indigenous Australian children. MethodsChildren referred to the sleep health service in the Northern Territory of Australia for a clinically suspected sleep disorder between 2015 and 2021 were included in this study. Self-reported sleep measures alongside polysomnography data were assessed and compared between these two diverse ethnic population. ResultsOf the 671 sleep studies assessed, 121 (18%) were from Indigenous children. The majority of patients were male (61%), with a median age of 5.7 (3.5, 8.9) years, and body mass index (BMI) in the normal range (57%). Indigenous children were significantly older (median 7.2 years (4.5, 11.9), with a higher BMI (p = 0.005) and a greater proportion living in very remote locality (14% vs. 6% non-Indigenous, p = 0.001). Indigenous children had higher Paediatric Daytime Sleepiness Scale scores (p = 0.001), higher screen use before bed (p = 0.005), later bedtimes (p = 0.001) and reduced total sleep time (p = 0.034) compared to non-Indigenous children. Prevalence of OSA was higher in Indigenous children (55% vs. 48%) and with greater severity compared to non-Indigenous children. ConclusionsIn this study, OSA was more prevalent and more severe in Indigenous children than their non-Indigenous peers. However, this may not necessarily be extrapolated to the general Indigenous paediatric population. Sleep hygiene and sleep quantity was also decreased further impacting adequate sleep. This highlights the importance of identifying and managing these addressable parameters and for targeted interventions.

Comparing symptom measurement tools in pediatric narcolepsy

Narcolepsy is a rare disabling neurological disease, affecting children and adults. The most recent development of measurement tools for narcolepsy were developed for adults; only a few tools are available for children without comparison on their validity. This research aims at comparing the validity of existing measurement tools in paediatric narcolepsy. From an ongoing randomized controlled trial, we extracted the data blind to the treatment of the 93 first terminating patients on which we compared the Paediatric Daytime Sleepiness Scale (PDSS), the Ullanlina Narcolepsy scale (UNS), the Child and Adolescent Sleepiness Questionnaire (CASS), the maintenance of wakefulness test (MWT), and the cataplexy episodes count (CEC).The comparison was carried out on reliability, internal consistency, sensitivity to change, minimum important difference, construct validity and concurrent validity.We provide evidence that the Ullanlina UNS score, currently used for screening purposes, constitutes a reliable and sensitive overall symptom measurement tool. Its subscore (UNS-CTP) based on the first four items permits a sensitive measurement of cataplexy, whereas the UNS-EDS subscore was found inferior to the PDSS scale. Compared with the objective measurement of symptoms (MWT, CEC), these scales better correlated with the clinical global impression of change in time, they are characterized by higher sensitivity, and they are much easier to use.

Association of social jetlag and eating patterns with sleep quality and daytime sleepiness in Japanese high school students.

A high prevalence of excessive daytime sleepiness and poor sleep quality has been reported in adolescents, but the effects of social jetlag on sleep quality and daytime sleepiness are unclear. Therefore, we assessed the association of sleep and eating patterns with daytime sleepiness and sleep quality among a total of 756 Japanese high school students. Participants completed the Pittsburgh Sleep Quality Index to evaluate sleep quality, the Pediatric Daytime Sleepiness Scale to evaluate daytime sleepiness, and an 8-day sleep diary. Data on average sleep duration, social jetlag, midsleep on free days sleep corrected, and the differences in the first and last meal timing between school days and non-school days were obtained from participants' sleep diaries. The results reveal that social jetlag is associated with differences in the first meal timing between school days and non-school days, and that social jetlag of more than 2 hr is associated with extremely poor sleep quality and excessive daytime sleepiness in Japanese high school students. Our findings suggest that reducing social jetlag to within a 2-hr window is important to prevent poor sleep quality and excessive daytime sleepiness for this population.

0493 Daytime Sleepiness in Children with Asthma: Is it really the lungs?

Abstract Introduction Insufficient nocturnal sleep is the most common reason of excessive daytime sleepiness. Children with asthma are at increased risk for sleep disruption secondary to nocturnal respiratory symptoms and medication effects, as well as more common behavioral pediatric sleep challenges. Not yet clear is the relative contribution of asthma severity versus behavioral factors to daytime sleepiness in a sample of children (8-17 years) with asthma. Methods This survey-based study was conducted in the outpatient pulmonology clinic at Nemours Children’s Hospital, Delaware between 2018-2021. Children with asthma were eligible if they had a diagnosis of asthma, spoke English, and did not have a developmental disorder. Participants completed four surveys: Pediatric Daytime Sleepiness Scale (PDSS, higher scores=more sleepiness), Pediatric Quality of Life Inventory (PEDS-QL, higher scores=better quality of life), PROMIS Pediatric Anxiety short form (higher scores=more anxiety symptoms), and an investigator-designed survey assessing sleep-related technology use. Asthma factors (e.g., asthma severity, lung function [FEV1], number of prescribed asthma medications) were obtained from the electronic medical record. Descriptives and multiple regression analyses were conducted to identify asthma severity and behavioral predictors of daytime sleepiness, controlling for demographics. Results Study participants (N=100) were mean age 12.1 years [SD=2.6], 54% male, and 45% Black. Persistent asthma was common (87%), with a mean of 4.2 (SD=2.5) prescribed asthma medications, and mean FEV1 of 97% (SD=17.8). On behavioral surveys patients scored: PDSS (M=14.13; range=0-31; SD=6.7), PEDS-QL (M=77.38; range=15.6-100; SD=18.6), and PROMIS (M=14.92; range=8-35; SD=7.2). 74% reported cell phone usage within 1 hour of bedtime. Multiple regression models showed that an increased number of prescribed medications (beta=0.168, p=0.042), lower patient-reported quality of life (beta=-0.310, p=0.004), increased anxiety symptoms (beta=0.203, p=0.05) and bedtime cellphone use (beta=0.290, p=0.003) were significantly associated with daytime sleepiness in children with asthma. Conclusion A greater number of behavioral than asthma severity factors related to daytime sleepiness in children with asthma. Strategies to reduce anxiety and bedtime cellphone use may be plausible behavioral targets to improve sleep in children with asthma. Further research to examine these associations longitudinally, and in children with more severe asthma, is warranted. Support (If Any) None