Disorders Of Excessive Somnolence Research Articles

Sleep disturbance in children with attention-deficit hyperactivity disorder: relationship with melatonin and behavior

ABSTRACT Aim To evaluate the prevalence and types of sleep problems and their correlations with melatonin content and behavior in Attention-Deficit Hyperactivity Disorder (ADHD) children. Method Sleep in ADHD children and typically developing children (TD) aged 6–14 was assessed by the Sleep Disorders Scale for Children (SDSC) and actigraphy, salivary melatonin quantified by ELISA, and behavior was analyzed using the Strengths and Difficulties Questionnaire. Results ADHD children showed a higher frequency of sleep disturbances, higher sleep latency, and lower sleep efficiency than in the TD group. The ADHD group presented lower melatonin nocturnal content compared to the TD group. Disorders of Initiating and Maintaining Sleep (DIMS) was moderately associated with nocturnal melatonin. The total behavior difficulties were correlated with Disorders of Initiating and Maintaining Sleep (DIMS), Sleep/Wake Transition Disorders (SWTD), Disorders of Excessive Somnolence (DES), Sleep Hyperhidrosis (SHY) and Total SDSC Score. The behavior was the only determinant of the total SDSC score (R2 = 0.499; p < 0.002). Conclusion This study provides, for the first time, evidence that among the frequent sleep disturbances in ADHD, the disorders in initiating and maintaining sleep are associated with the low levels of melatonin found in this population. Additionally, these, along with other sleep disturbances, are linked to behavioral problems in ADHD.

Meal related symptoms in youth with chronic abdominal pain: Relationship to anxiety, depression, and sleep dysfunction.

The objective of the current study was to describe meal-related symptoms in youth with chronic abdominal pain fulfilling criteria for a disorder of gut-brain interaction (DGBI) and their associations with anxiety, depression, and sleep disturbances. This was a retrospective evaluation of 226 consecutive patients diagnosed with an abdominal pain-associated DGBI. As part of routine care, all had completed a standardized symptom history, the Sleep Disturbances Scale for Children (utilized to assess for disorders of initiation and maintenance of sleep and excessive daytime somnolence) and the Behavior Assessment System for Children-Third Edition (utilized to assess for anxiety and depression). Four meal related symptoms were assessed: early satiety, postprandial bloating, postprandial abdominal pain, and postprandial nausea. Overall, 87.6% of patients reported at least one meal related symptom and the majority reported at least three symptoms. All meal related symptoms were significantly related to each other. Postprandial pain and nausea were more often reported by females. Early satiety, postprandial bloating, and postprandial nausea, but not postprandial pain demonstrated significant though variable associations with anxiety, depression, disorders of initiation and maintenance of sleep, and disorders of excessive somnolence, but only in adolescents. Meal related symptoms are very common in youth with abdominal pain-associated DGBIs. Early satiety, bloating, and postprandial nausea demonstrate variable associations with anxiety, depression, and disordered sleep while increased postprandial pain was not associated with psychologic or sleep dysfunction, suggesting a different pathway for symptom generation.

Risk of sleep problems in a clinical sample of children who stutter

PurposePrevious studies have shown increased prevalence of sleep problems among people who stutter. However, there is a lack of knowledge about what these sleep problems may specifically be. MethodFifty children who stutter (CWS) from 6;0 to 12;9 years of age and 50 age- and gender-matched controls participated in this study. Parents did not report coexisting conditions, excepting stuttering and/or sleep problems. Sleep problems were investigated using a standardized questionnaire answered by parents. The questionnaire shows cut-off scores to identify the risk of sleep problems as a whole and on each one of the six subscales (i.e., disorders of initiating and maintaining sleep; sleep breathing disorders; disorders of arousal; sleep-wake transition disorders; disorders of excessive somnolence; and sleep hyperhidrosis). Scores above the cut-off are suggestive of sleep problems. ResultsTwenty-one CWS scored higher than the cut-off on the sleep questionnaire compared to only two controls (p < 0.00001). Specifically, CWS scored higher than controls in disorders of initiating and maintaining sleep, sleep-wake transition disorders (especially jerking, sleep talking, and bruxism), and disorders of excessive somnolence (p < 0.0083, corrected for multiple comparisons). DiscussionCompared to controls, CWS are at greater risk for sleep problems, which are not consequences of coexisting disorders. Present findings confirm and expand current knowledge about sleep problems in CWS. Directionality possibilities and clinical implications are discussed.

Sleep disturbances in children and adolescents after kidney transplantation.

Disturbances of sleep are prevalent among children with chronic kidney disease. However, the aetiology of sleep disorders in children particularly after kidney transplantation is not clear. We sought to ascertain the prevalence and type of sleep disturbances in paediatric kidney transplant recipients and to identify predictors of sleep disturbances in this population. Caregivers of kidney transplant recipients completed online questionnaires about their child's sleep. The questionnaires utilised were the Sleep Disturbance Scale for Children (SDSC), the Epworth Sleepiness Scale for Children and Adolescents (ESS-CHAD), questions about sleep hygiene, and questions about restless leg syndrome. Demographic and clinical details were collected from medical records. Thirty-five children were included in the study, with a median (IQR) age of 14.1years (9.5-16.1) and median years (IQR) since transplant of 3.7 (0.7-8.7) years, and 72.0% were identified to have at least one category of sleep disturbance according to scores on the SDSC. The most common sleep disturbances reported were disorders of initiating and maintaining sleep (DIMS) (40.0%) and disorders of excessive somnolence (DOES) (31.4%). Statistically significant predictors of sleep disturbances include low estimated glomerular filtration rate and increased age. Among children who screened positive for DIMS and DOES, the majority indicated use of electronic devices in 1h before bed. A high prevalence of sleep disturbances has been identified in children after kidney transplants, and some risk factors may be modifiable. Further studies are required to understand whether there are other readily modifiable predictors of sleep disturbances.

The effect of circadian preference and sleep disturbances on depression in children 6 to 12 years of age

ABSTRACT Circadian rhythm and sleep disruption have been associated with depressive symptoms in children. This study was conducted to determine sleep disturbances and circadian preferences and their possible associations with depression in healthy children 6 to 12 years of age. A total of 111 healthy children (mean age 7.5 years; 62.2% male) were included. Sleep disturbances and depression were determined by the Sleep Disturbance Scale for Children (SDSC) and the Children’s Depression Inventory (CDI), respectively. Circadian preference was evaluated by the Morningness – Eveningness Stability Scale improved (MESSi). SDSC was correlated with CDI (r = 0.396, p < 0.001). Morning affect was inversely correlated with CDI (r = −0.405, p < 0.001), SDSC (r = −0.348, p < 0.001), and three subdimensions of SDSC, i.e. disorders of initiating and maintaining sleep (DIMS, r = −0.317, p = 0.001), disorders of arousal (DA, r = −0.375, p < 0.001) and disorders of excessive somnolence (DOES, r = −0.303, p = 0.001). Distinctness was inversely correlated with CDI (r = −0.402, p < 0.001) and SDSC (r = −0.274, p < 0.001). Increased use of electronic devices was associated with higher CDI (p = 0.003), while decreased duration of physical activity with higher SDSC (p = 0.017). Our findings support the recommendations addressing sleep and circadian preferences as lifestyle modifications in reducing depression in children.

Study of the sleep in Egyptian children with Juvenile SLE and it's effect on their scholastic achievement

The clinical spectrum of neuropsychiatric manifestations of juvenile systemic lupus erythematosus (JSLE) can be quite variable and sleep problems have been reported as being one of the under-recognized needs of SLE patients.Aim Determination of sleep abnormalities among lupus children and their effects on children's scholastic achievements.Subjects This study was carried out on 38 children with systemic lupus erythematosus and thirty healthy children, whom their guardians agreed to volunteer in the study .Methods In the current cross sectional study all children were subjected to full clinical examination, MRI brain of the patients, sleep history, Epworth sleepiness scale and the Sleep disturbances scale for childrenResults 52.6% of the studied children had different sleep patterns, as follows:13.2% disorders of initiating and maintaining sleep (DIMS), 2.6% with Sleep breathing disorders (SBD), 10.5% with disorders of arousal (DA), 5.3% with sleep-wake transition disorders (SWTD), 2.6% with disorders of excessive somnolence (DOES), 7.9% with Sleep Hyperhidrosis (SHY), 7.9% with pathological total sleep disturbances score.5.3% of children had excessive daytime sleepiness and 21% had moderate daytime sleepiness and 73.7% had normal daytime sleepiness.Children with positive findings in brain MRI had different sleep disorders demonstrated as follows, 33.3% had disorders of initiating and maintaining sleep (DIMS). 16.7% had Sleep Hyperhidrosis (SHY).16.7% had pathological total sleep disturbances score.

The effect of intensive rehabilitation treatment on sleep disorder in children with motor delays

BackgroundAlthough the importance of sleep problems has been increasingly emphasized due to the effects on children's development and children's and families' daytime behaviors, physical health, and quality of life, they have been overlooked in clinical practice. However, there have been few studies on the effects of rehabilitation on sleep problems. Therefore, in this study, we investigated the effects of an intensive rehabilitation program on sleep problems in children with developmental delays (DD).MethodsWe included 36 children with DD (30 outpatients, 6 inpatients) and their caregivers who completed all items on the Sleep Disturbance Scale for Children. Of the children with DD, 19 (59.3%) had cerebral palsy (CP) and 13 (40.7%) had DD of non-CP origins, of which 6 (18.8%) had prematurity, 4 (12.5%) had genetic causes, and 3 (9.4%) had an unknown origin. Changes in sleep problems after the intensive rehabilitation program were evaluated using a paired or unpaired t-test, depending on the distribution of the continuous variables.ResultsAfter the intensive rehabilitation program, in 36 children with DD, there was a significant improvement in the difficulty in initiating and maintaining sleep (DIMS) sub-score (p < 0.05). However, there was no significant improvement in the total score or other sub-scores, such as those for sleep breathing disorders (SBD), disorders of arousal (DA), sleep–wake transition disorders (SWTD), disorders of excessive somnolence (DOES), and sleep hyperhidrosis (SH). In the subgroup analysis according to the cause of DD, children with CP had a significant improvement in DIMS and DOES sub-scores (p < 0.05).ConclusionThe intensive rehabilitation program, consisting of more than two sessions per day, effectively alleviated sleep problems in children with DD, especially in those with CP. Among the sleep problems, the intensive rehabilitative program was most effective at improving the DIMS. However, further prospective studies with a larger number of patients with DD and a more standardized protocol are necessary to generalize this effect.

Chronotype and sleep disorders in children with epilepsy.

The circadian rhythm can affect the frequency and resistance of epileptic seizures. In this cross-sectional study, we examined the impact of chronobiology and sleep disturbances on children with epilepsy. One hundred and twenty-five children and adolescents (55 patients and 70 controls) were included in the study. All participants were asked to complete the Revised Child Anxiety and Depression Scale-Child Version (RCADS-CV), Sleep Disturbances Scale for Children (SDSC), Childhood Chronotype Questionnaire (CCQ). According to the CCQ results, controls had longer sleep duration (median 595 vs. 570), lower morningness-eveningness scores (median: 28 vs. 30), and higher rates of the morningness (12.9% vs. 1.8%) and intermediate (74.3% vs. 60%) chronotypes. The children and adolescents with epilepsy scored significantly higher in the Sleep breathing disorders (p = .001), Disorders of arousal nightmares (p = .044), Sleep-wake transition disorders (p = .037), Disorders of excessive somnolence (p = .001), and total SDCS (p = .046) scores. According to the RCADS-CV results, the children with epilepsy scored significantly higher in all subscales in comparison to controls (p < .05). Children and adolescents with epilepsy had shorter sleep duration were more likely to be evening-oriented and had more significant sleep disturbance symptoms compared to controls.

Effects of Child Life intervention on the symptom cluster of pain–anxiety–fatigue–sleep disturbance in children with acute leukemia undergoing chemotherapy

ObjectiveThis study aims to explore the application effect of Child Life intervention on pain, anxiety, fatigue, and sleep disturbance in children with acute leukemia. MethodsIn a single-blinded, parallel-group randomized controlled trial, 96 children with acute leukemia were randomized to either the intervention group, which received Child Life intervention twice a week for 8 weeks, or the control group, which received routine care. Outcomes were evaluated at baseline and day 3 postintervention. ResultsAll of the participants completed the study. Compared with the control group, the intervention group showed a significant reduction in pain, anxiety, fatigue, and sleep disturbance (P ​< ​0.001). However, no significant differences were observed in the disorders of excessive somnolence. ConclusionsChild Life intervention can effectively improve pain, anxiety, fatigue, and sleep disturbance in children with acute leukemia undergoing chemotherapy. The results suggest that symptom cluster management intervention based on Child Life provided a promising approach for simultaneously treating multiple symptoms within a cluster.

Evaluation of Excessive Daytime Sleepiness, Anxiety and Depression Symptomatologies in Obesity

Aim: In this study, it was aimed to evaluate the excessive daytime sleepiness, anxiety and depression symptomatology in normal-weight, overweight and obese individuals. Methods: In the study, 605 people who applied to the family medicine outpatient clinic between 2020 November 25 and 2021 March 5 were included. The questionnaire form evaluating the sociodemographic characteristics of the participants, the Hospital Anxiety and Depression Scale and the Epworth Sleepiness Scale were administered using a face-to-face interview technique. Results: Overweight status in primary school, high school/adolescence, and university/twenties were higher in obese than in overweight. Additionally, it was higher in overweight than in normal weight. The risk of being overweight was 2.19 times higher and the risk of being obese was 6.07 times higher than those with obesity in their family compared to those who did not. Excessive daytime sleepiness was 2.95 times higher in obese than in normal weight. Anxiety symptoms were 1.97 times higher in obese than in normal weight. Depression symptoms were 2.77 times more in overweight and 2.99 times more in obese compared to normal-weight individuals. Conclusion: As a result of this study, it was revealed that excessive daytime sleepiness, anxiety and depression symptomatologies are more common in obese compared to normal weight. Keywords: obesity, overweight, depression, anxiety, disorders of excessive somnolence

Sleep disturbances and behavior in Smith-Magenis syndrome

BackgroundThe Smith-Magenis syndrome (SMS) shows a collection of neurodevelopmental problems including mild to moderate intellectual disability, change-related anxiety, impulsivity, speech delay, Attention-Deficit/Hyperactivity Disorder (ADH) and sleep disturbances. Sleep disorders, when present, have been treated in several populations with consecutive improvements in cognitive and behavioral aspects. AimsTo better understand the existing relationships between sleep disturbances and behavioral problems in SMS syndrome this study describes the sleep and behavior problems in the SMS and explores the possible relation between both. Methods and procedures17 individuals with SMS (50% males; 11.2 ± 4.9 years old) and 12 individuals with typical development (50% male; 11.1 ± 4.4 years old) were investigated using the Sleep Disturbance Scale for Children and the Child Behavior Checklist. ResultsA high percentage (60%) of individuals with SMS have an indication of sleep disorders, being the most frequent disorders the sleep-wake transition disorders, and disorders of initiating and maintaining sleep with sleep latency higher than acceptable and total sleep time below acceptable. More than 94% of the SMS group presented clinical or borderline scores on the total behavioral problems scale. The most common behavioral problems were Externalizing Problems, Thought and Attention, ADH and Aggressive problems. There was a positive correlation between disorders of initiating and maintaining sleep, sleep-wake transition disorders, disorders of arousal, disorders of excessive somnolence and behavioral problems. Conclusions and implicationsThe worse the sleep disturbances investigated, the more severe the behavioral problems characteristics reinforcing the importance to address the sleep problems in the treatment of SMS individuals.

Negative impact of insomnia and daytime sleepiness on quality of life in individuals with the cyclin-dependent kinase-like 5 deficiency disorder.

Cyclin-dependent kinase-like 5 (CDKL5) gene pathogenic variants result in CDKL5 deficiency disorder (CDD). Early onset intractable epilepsy and severe developmental delays are prominent symptoms of CDD. Comorbid sleep disturbances are a major concerning symptom for families. We aimed to explore the relationship between insomnia, daytime sleepiness, sleep medications and quality of life in children with CDD. Caregivers of 129 children with CDD in the International CDKL5 Disorder Database completed the Quality-of-Life Inventory-Disability (QI-Disability) questionnaire and "Disorders of Maintaining Sleep" (DIMS) and the "Disorders of Excessive Somnolence" (DOES) items of the Sleep Disturbance Scale for Children. Adjusting for covariates, a unit increase in DOES score was associated with reduced quality of life total (coefficient -3.06, 95% confidence interval [CI] 1.35-7.80), physical health (coefficient -7.20, 95% CI -10.64, -3.76) and negative emotions (coefficient -3.90, 95% CI -7.38, -0.42) scores. Adjusting for covariates, a unit increase in DIMS score was associated with reduced negative emotions (coefficient -6.02, 95% CI -10.18, -2.86). Use of sleep medications had small influences on the effect sizes. This study highlights the importance of sleep problems as a determinant of quality of life in children with CDD, consistent with effects observed for other groups of children with intellectual disability. Excessive daytime sleepiness was particularly associated with detrimental effects on quality of life. Further research in optimal behavioural and pharmaceutical management of sleep problems for this population is required.

Relationship of excessive daytime sleepiness with bruxism, depression, anxiety, stress, and sex in odontology students - A cross sectional study.

BackgroundTo verify if there is a correlation of excessive daytime sleepiness (EDS) with bruxism, depression, anxiety, stress, and sex in odontology students. Material and MethodsFour hundred dental students were selected. Students included in the study were those that were healthy, over 18 years old, and with similar weekly academic activities. Students excluded were those with temporomandibular disfunction, a high possibility of possessing obstructive sleep apnea and illnesses that cause EDS; along with smokers, users of illicit drugs, users of psychiatric medication, and those that abuse the consumption of alcohol. After the application of these criteria, 128 students were included in this study. EDS, bruxism, depression, anxiety, and stress were evaluated by the Epworth Sleepiness Scale, the Pintado et al. questionnaire, Beck Depression Inventory, Beck Anxiety Inventory, and the LIPP Adult Stress Symptom Inventory. Afterwards, the Spearman test (p< 0.05) was applied. ResultsA high probability of EDS was present in 33.6% of the students. There was a positive correlation of EDS with females (Rank Correlation= 0.209; p= 0.018) and depression (Rank Correlation= 0.174; p= 0.049); between females and stress (Rank Correlation= 0.199; p= 0.024), and between females and anxiety (Rank Correlation= 0.178; p= 0.045). There was a positive correlation of bruxism with anxiety (Rank Correlation= 0.255; p= 0.004) and stress (Rank Correlation= 0.201; p= 0.023). There was no correlation of EDS with bruxism (p= 0.354), stress (p= 0.277), or anxiety (p= 0.114). There was no correlation of bruxism with females (p= 0.082) or depression (p= 0.362). ConclusionsA high probability of EDS was present in 33.6% of dentistry students, and there was a positive correlation of EDS with females and depression. Key words:Bruxism, depression, anxiety, stress, disorders of excessive somnolence, dentistry.

Instruments For Assessment Of Excessive Daytime Sleepiness In Brazilian Children And Adolescents: Systematic Review

Objective:To systematically review the literature on the instruments used to assess excessive daytime sleepiness (EDS) in Brazilian children and adolescents.Data source:A systematic review of the literature was performed in the databases MEDLINE PubMed, Scopus, Web of Science, LILACS, Scielo and SPORTDiscus, with no time limit for searches. The eligibility criteria were studies published in English and Portuguese, original articles that used questionnaires to assess EDS and whose sample consisted of Brazilian children and/or adolescents. As search strategy, the following terms were combined with Boolean operators “OR” and/or “AND”: drowsiness, disorders of excessive somnolence, excessive daytime sleepiness, day sleepiness, midday sleepiness, daytime sleepiness, adolescents, Brazil, Brazilian adolescents, and children.Data synthesis:Sixteen articles were selected, in which nine different instruments were applied to 8.240 children and adolescents from the South, Southeast, Midwest and Northeast regions of Brazil. The mean of methodological quality of studies was 16.1±1.9 points. The instruments most frequently used were the Pediatric Daytime Sleepiness Scale (PDSS) and Karolinska Sleepiness Scale (KSS), but only PDSS was shown reliable to assess EDS in Brazilian children and adolescents.Conclusions:The PDSS was the only instrument considered reliable to assess EDS in Brazilian children and adolescents. Further research on EDS in children and adolescents are suggested to perform the validation of other instruments for Brazil and present internal consistency values.

Impact of Technology Use on Behavior and Sleep Scores in Preschool Children in Saudi Arabia

Background: Pre-school children use digital devices both at home and in kindergarten for communication. However, such technologies can also be used for creativity learning and entertainment. Technology usage might exert a negative impact on the psychosocial development of pre-school children, thus necessitating parental monitoring. Previous studies have recommended early intervention for pre-school children by decreasing the duration of digital devices, spending more time with the family, and participation in motor activities to avoid the ill effects of technology.Aim: To investigate the impact of digital device use on the behavioral and sleep scores of preschool children as perceived by parents in Saudi Arabia (SA).Method: This cross-sectional study was conducted across two regions in SA. It was ethically approved by the ethical review board of Imam Abdulrahman Bin Faisal University. The participants were randomly selected from well-baby hospital records, surveyed and interviewed to obtain data for the following measures: demographic data, technology usage, sleep disturbance scale, and behavior scale. Children with special needs or comorbidities were excluded from the study. Descriptive and multivariate regression analysis were done.Results: We recruited 288 children. Most did not attend schools (63.2%), 22.6% were in kindergarten, and 14.2% were in nursery schools. Smart phones were the most commonly used device by the children (42.4%). Most used the technology for 2–3 h/days (34%). Cartoons were the most commonly sought content (42%). The behavior scores for children aged 18–36 months showed a mean value of 5.1, 3.7, and 4.6 for surgency, negative affect, and effortful control, respectively. Children aged 3–5 years showed a mean value of 4.3, 4, and 4.7 for surgency, negative affect, and effortful control, respectively. Sleep disturbance scores for all children showed a mean value of 12.4, 3.5, 3.8, 8, 7.3, and 2.7 on disorders of initiating and maintaining sleep, sleep-breathing disorders, disorders of arousal, sleep-wake transition disorders, disorders of excessive somnolence, and sleep hyperhidrosis, respectively. The mean total sleep score was 37. Multivariate regression analysis showed significant positive relationship between surgency and three factors namely family income of 10,000–15,000 SR (t = 1.924, p = 0.045), fathers' bachelor's degrees (t = 2.416, p = 0.16), and owning a video game device (t = 2.826, p = 0.005<0.05). Negative affect was significantly associated with fathers' diploma level of education (t = 2.042, p = 0.042). Negative significant relationship between effortful control and fathers' secondary level of education (t = −2.053, p = 0.041). There was a significant negative relationship between effortful control and owning a TV and video game device (t = −2.35, −2.855, p = 0.043, 0.005<0.05, respectively). A significant positive relationship was found between child's sleeping score (worse sleep) and watching technology between 3 and 5 h (t = 2.01, p = 0.045), and mothers' unemployment status (t = 2.468, p = 0.014).Conclusion: In conclusion, technology use is associated with a negative impact on children sleep and behavior. Owning a digital device, using tablets, screen viewing for more than 3–5 h, and watching movies were significantly associated with negative child's behavior and sleep.

Characterization of Sleep Disturbances in Children and Adolescents with Down Syndrome and Their Relation with Cognitive and Behavioral Features.

Despite sleep disturbances are common among youths with Down syndrome (DS), the cognitive and behavioral features associated with sleep problems have not yet been studied extensively. The present study investigated the presence of sleep disturbances in a group of children and adolescents with DS and their cognitive and behavioral correlates. Seventy-one children and adolescents with DS underwent a neuropsychological evaluation, whereas parents completed questionnaires for the screening of the child’s sleep, emotional and behavioral problems. We found no association between sleep disturbances and sex, nonverbal IQ, nor adaptive abilities. However, we found that age was positively associated with disorders in initiating and maintaining sleep (DIMS) and disorders of excessive somnolence (DOES), while body mass index was related with DOES. We also detected a relationship between visual-motor integrations and DIMS, as well as multiple associations between sleep disturbances and psychopathological and behavioral problems, mainly externalizing symptoms. The present study provided a detailed characterization of sleep problems in relation to several features of youths with DS. The proper identification of sleep disturbances profile in the DS population could support the process of clinical evaluation, in particular for psychopathological aspects.

553 Assessment of sleep disorders in children and adolescents with obesity

Abstract Introduction When studying the inherent aspects of sleep it is important to assess how the quality and quantity of sleep in the last two decades may be one of the reasons for the increase in childhood obesity, which has been growing rapidly worldwide. This study aims to assess the presence of sleep disorders in overweight children and adolescents. Methods An descriptive study was conducted with data collection from 43 patients between 6 and 13 years old diagnosed as overweight. They were patients of a specialized service for children and adolescents with obesity that is part of the Hospital de Clínicas of the Federal University of Paraná, located in Curitiba, Brazil. To investigate the presence of sleep disorders, the Sleep Disturbance Scale for Children (SDSC) questionnaire was administered. The factors assessed were: Disorders of Initiating and Maintaining Sleep, Sleep Breathing Disorders, Disorders of Arousallnightmures, Sleep Wake Transition Disorders, Disorders of Excessive Somnolence and Sleep Hyperhydrosis. Results The mean age of the patients that took part in the research was 10 years and 7 months (± 1.95). The mean BMI of the participants was 29.57 kg/m2 (± 4.38), the majority being diagnosed with obesity. The sum of all SDSC factors demonstrated the presence of pathological sleep in 58.1% (25) of the sample, whereas 51.2% (22) of the patients had Sleep Breathing Disorders and 58.1% (25) had the Sleep Wake Transition Disorder. Conclusion The present study demonstrated the presence of sleep disorders in overweight children and adolescents. As for Sleep Respiratory Disorder, a situation has already been advocated in the current literature for this audience. In relation to the Sleep-Wake Transition Disorder and pathological sleep, further research is needed to prove the presence of the disorder in other groups studied. Here is the suggestion that future research be done with subjective and objective data collection on sleep within a larger sample, in order to confirm the association between sleep disorders and childhood obesity. Support (if any):

Application of the Sleep Disturbance Scale for Children (SDSC) in infants and toddlers (6–36 months)

ObjectivesThe aim of the present study is to assess the psychometric properties of the Sleep Disturbance Scale for Children (SDSC) in an Italian population of infants and toddlers. MethodsThe SDSC was distributed to the primary caregivers of infants aged 6–36 months recruited via nurseries in the urban area of Rome. Reliability analysis for evaluating internal consistency and item–total correlation coefficients, and factor analysis were performed. ResultsDuring a 12-months study period, a total of 193 healthy infants (aged 6–36 months) were evaluated using a 22-item version of the SDSC for Italian infants and toddlers. Three of the 22 original items displayed a low item–total correlation (<30) and a low frequency and were eventually removed, resulting in a 19 items questionnaire. Six factors were derived from the factor analysis using the principal component method of extraction and rotated with the varimax method: Difficulty in initiating sleep, Difficulty in maintaining sleep, Sleep breathing disorders, Parasomnias, Disorders of excessive somnolence and Sleep hyperhidrosis. The SDSC adapted for infants and toddlers showed a good level of internal consistency (Cronbach's alpha: 0.83). ConclusionsThe statistical analysis, the internal consistency and the factor analysis encourage the use of SDSC as an evaluation tool even at this age. The six factors extracted represent the most common areas of sleep disorders at this age and could therefore help clinicians to detect the areas that need a deeper investigation.

Sleep Disorders in Autism Spectrum Disorder Pre-School Children: An Evaluation Using the Sleep Disturbance Scale for Children.

Background and Objectives: Sleep disorders are common in children with Autism Spectrum Disorder (ASD). The aims of this study were to describe the incidence and characteristics of sleep disorders using a questionnaire completed by the caregiver in a sample of preschool-aged children with ASD and to identify possible differences in a control group of peers. Materials and Methods: Sleep disorders were investigated with the Sleep Disturbance Scale for Children (SDSC) in a population of pre-school-aged (3–5 years) ASD children and in a control group. The Autism Diagnostic Observation Schedule—second ed. (ADOS-2) was further used to assess autism symptom severity. A total of 84 children (69 males; mean age 3.9 ± 0.8 years) with a diagnosis of ASD and 84 healthy controls (65 males; mean age of 3.7 ± 0.8 years) that were matched for age and sex were enrolled. Results: ASD children reported significantly higher (pathological) scores than the control group on the SDSC total scores and in some of the factor scores, such as Difficulty in Initiating and Maintaining Sleep (DIMS), disorders of excessive somnolence (DOES), and sleep hyperhidrosis. A total of 18% of ASD children had a pathological SDSC total T-score, and 46% had an abnormal score on at least one sleep factor; DIMS, parasomnias, and DOES showed the highest rates among the sleep factors. Younger children (3 years) reported higher scores in DIMS and sleep hyperhidrosis than older ones (4 and 5 years). No specific correlation was found between ADOS-2 and SDSC scores. Conclusions: Pre-school children with ASD showed a high incidence of sleep disorders with different distributions of specific sleep factors according to their age. We suggest a screening assessment of sleep disorders using the SDSC in these children with a more in-depth evaluation for those reporting pathological scores on the questionnaire.

Prevalence of Sleep Disorders in Children with Cerebral Palsy; A Questionnaire-based Observational Study.

Cerebral palsy (CP), the most common developmental disorder, has many comorbidities (epilepsy and behavioral issues). Sleep disturbances are common complaints of parents and are usually neglected in pediatric populations in comparison to other well-documented co-morbidities of CP but may have a significant effect on the quality of life of children and their parents. To study the prevalence and pattern of sleep disorders (SD) in children with CP. Questionnaire-based observational study. Pediatric tertiary care center. The study was done over 6 months. In total, 200 children with CP between the ages of 1 year to 14 years were included in the study by convenience sampling. Co-morbid health problems involving cardiorespiratory system, other illness (e.g. epilepsy and gastroesophageal reflux disease), or children on anticonvulsant medications altering sleep patterns were excluded. The Sleep Disturbance Scale for Children (SDSC) was administered to assess the presence of pathological sleep and type of SD ranging between Disorders of Initiation and Maintenance of Sleep (DIMS), Sleep Breathing disorders (SBD), Disorders of Arousal (DA), Sleep-Wake Transition Disorders (SWTD), Disorders of Excessive Somnolence (DES), and Sleep Hyperhydrosis (SHY). Sixty-two percentage of children (124) had a pathological total sleep score (score >39). DIMS are the most common, occurring in 78.2% of subjects with a pathological sleep score (score >39). Quadriplegics [n = 96, mean score = 49.86(16.38)] and GMFCS V [n = 19, mean score = 58.00(17.10)] are most severely affected. Children with CP have under-reported SD and DIMS is the most common type of SD. There is a linear correlation between the extent of topographical and motor afflictions and SD.