Children's Sleep Habits Questionnaire Score Research Articles

Sleep quality and depression in mothers of children with epilepsy and its relation to their children’s sleep

ObjectiveThis study aimed to evaluate the relationship between sleep disturbances in children with epilepsy (CWE) and maternal sleep quality and depression severity. MethodsA Cross-sectional study was conducted in pediatric sleep disturbances using questionnaires on mother-reported sleep of CWE [Children's Sleep Habits Questionnaire (CSHQ)], maternal sleep quality [Pittsburgh Sleep Quality Index (PSQI)], and maternal depression status [Self-Rating Depression Scale (SDS)]. 114 dyads consisting of CWE and their mothers were included in this study. ResultsOver three-quarters (78.9 %) of mothers reported poor sleep quality (total PSQI score ≥ 5), and nearly a third (29.8 %) met clinical criteria for moderate or severe depression levels. The mothers' total PSQI scores were between 5.93 ± 2.44 (range: 2–16 points). The most affected PSQI subcomponents were sleep latency (AUC = 0.826p < 0.001) and daytime dysfunction (AUC = 0.800p < 0.001). The majority of children (88.6 %) were stated by their mothers to have sleep-related problems. The total CSHQ scores of the children were between 49.06 ± 9.20 (range: 33–86 points). The most affected CSHQ subcomponents were detected sleep anxiety (AUC = 0.856, p < 0.001), bedtime resistance (AUC = 0.818, p < 0.001) and daytime sleepiness (AUC = 0.807, p < 0.001). There was a statistically significant positive correlation between maternal sleep quality and depression severity (rho = 0.842; p < 0.001). A statistically significant positive moderate correlation was detected between sleep problems in CWE and maternal sleep quality and depression severity (rho = 0.406; p < 0.001, rho = 0.399; p < 0.001, respectively). As a result of multiple stepwise logistic regression analysis, the presence of seizures during sleep and generalized epileptiform discharges on electroencephalography were associated risk factors with poor maternal sleep quality (OR:6.6, p = 0.014; OR:11.5, p = 0.018, respectively). A borderline insignificant relationship was observed between a less than 50 % decrease in seizure frequency and the poor maternal sleep quality (OR:20.59p = 0.059). Seizures during sleep was associated risk factor with children's sleep disturbances (OR:7.2, p = 0.02). ConclusionsSleep problems in CWE may lead to negative consequences such as sleep quality and/or depression in mothers. Interventions planned to correct sleep disturbances in mothers suggest that children's sleep problems should be optimally managed.

The clinical and sleep manifestations in children with FOXG1 syndrome

FOXG1 syndrome is a rare neurodevelopmental disorder associated with severe cognitive dysfunction, autistic behavior, and early-onset hyperkinetic movement disorders. Patients have also been reported to experience sleep disturbances. However, these findings are mainly based on subjective caregivers' reports, and limited by small case numbers. Moreover, no studies using objective evaluation tools, such as actigraphy, have been reported. We analyzed the clinical and sleep manifestations of children with FOXG1 syndrome registered in the FOXG1 Research Foundation Patient Registry database. A total of 258 individuals with FOXG1 syndrome were included in this research. 132 (51.16%) had sleep disturbances. The more impaired of language acquisitions (absence of speech, OR: 3.99, 95%CI = 1.69-9.42, p = 0.002), hyperkinetic movement disorders (OR: 2.64, 95%CI = 1.34-5.20 p =0.005) and feeding difficulties (OR: 2.81, 95% CI = 1.52-5.19, p = 0.001) were significantly associated with an increase in odds of sleep disturbance after adjusting for age, sex, and antiepileptic drugs. We also performed sleep studies on six individuals with FOXG1 syndrome using The Children's Sleep Habits Questionnaire (CSHQ), the Sleep Disturbance Scale for Children (SDSC), and 7-day data from Actiwatch. The Pittsburgh Sleep Quality Index (PSQI) and 7-day data from Actiwatch were also used to evaluate the sleep condition of their parents. The CSHQ scores revealed bedtime resistance, sleep onset delay, sleep duration, sleep anxiety, night-waking, and parasomnia. Sleep-wake transition disorders and disorders of initiating and maintaining sleep were also suggested by the SDSC scores. The children's actigraphy revealed short sleep durations, impaired sleep efficiency, longer wake after sleep onset, and frequent night-waking. All caregivers reported significantly higher PSQI scores, mildly declined sleep efficiency, and shorter total sleep duration. Sleep disturbances, especially in initiating and maintaining sleep, are common in individuals with FOXG1 syndrome and their caregivers. Sleep disorders in patients with FOXG1 syndrome and their caregivers should be investigated.

Sleep disturbances and their association with behaviour in children with autism spectrum disorder: A cross-sectional study.

In this study, we aimed to determine the prevalence of sleep disturbances among children aged 2-5 years with autism spectrum disorder (ASD) and their association with behaviour in these children. A cross-sectional study was conducted at Hospital Tunku Azizah, Kuala Lumpur, Malaysia, from June 2020 to December 2020. Children between 2 and 5 years old, diagnosed with ASD based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria, were recruited. Two parent-reported questionnaires, the Children's Sleep Habits Questionnaire (CSHQ) and the Child Behaviour Checklist (CBCL/1.5-5), were used to assess sleep and behaviour, respectively. Children were classified as good sleepers (CSHQ score <41) and poor sleepers (CSHQ score ≥41). Poor sleepers were further categorised into those with mild or moderate to severe sleep problems (based on the 75th percentile CSHQ score). The CBCL/1.5-5 raw scores were converted to standardise T-scores, yielding scores of three summary scales (internalising, externalising and total problems). A total of 134 children participated in this study. Their mean age was 42.23 ± 9.95 months, and 81.3% were males. Mean CSHQ score was 49.77 ± 6.90, and 93.3% were poor sleepers. Internalising, externalising and total problems scores were significantly higher in poor sleepers (62, 59 and 62, respectively) compared to good sleepers (56, 47 and 51, respectively). Children with moderate to severe sleep problems had clinical scores of internalising (median 65) and externalising (median 65) problems, as compared to mild sleep problems (median internalising score 61, median externalising score 57). Sleep disturbances are prevalent among children with ASD. Poor sleep quality is associated with more behavioural problems.

Poor sleep quality in children with atopic dermatitis and its effects on behavior: A multicenter cross-sectional study from a low-middle-income country.

Sleep disturbance in children with atopic dermatitis (AD) frequently goes unnoticed and can be associated with behavioral challenges. The aims of this study were to determine (a) the prevalence and factors associated with sleep disturbance and behavioral problems and (b) the correlation between sleep disturbance and behavioral problems in children with AD. This cross-sectional study involved children aged 4-12 years old with moderate to severe AD. Age and sex-matched healthy children were recruited as the comparison group. The Children's Sleep Habits Questionnaire (CSHQ) and the Strengths and Difficulties Questionnaire (SDQ) were used to assess sleep disturbance and behavioral problems, respectively. Higher scores in both questionnaires signify more disturbance. Seventy patients and 141 controls were recruited. Median (interquartile range) age of patients was 5 (4,8) years. Patients had later sleep time (p < 0.001), longer night awakening (p < 0.001), and shorter sleep duration (p < 0.001) compared to controls. CSHQ total scores and all its domains, except for sleep-disordered breathing were significantly higher in patients compared to controls. Patients also had significantly higher SDQ total difficulties scores in all domains, except for peer problems. Severity of AD was significantly associated with high CSHQ and SDQ scores. There was a moderate positive correlation between the total CSHQ score and total SDQ score in patients (r=0.532). Children with moderate-to-severe AD had significantly more sleep disturbance and more behavioral problems than their healthy peers. Sleep disturbance had a positive correlation with behavioral problems. Severity of AD was associated with sleep disturbance and behavioral problems.

Sleep problems in children with autism spectrum disorder in Hong Kong: a cross-sectional study.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a growing prevalence of sleep problems associated with significant behavioral problems and more severe autism clinical presentation. Little is known about the relationships between autism traits and sleep problems in Hong Kong. Therefore, this study aimed to examine whether children with autism have increased sleep problems than non-autistic children in Hong Kong. The secondary objective was to examine the factors associated with sleep problems in an autism clinical sample. This cross-sectional study recruited 135 children with autism and 102 with the same age range of non-autistic children, aged between 6 and 12 years. Both groups were screened and compared on their sleep behaviors using the Children's Sleep Habits Questionnaire (CSHQ). Children with autism had significantly more sleep problems than non-autistic children [t (226.73) = 6.20, p < 0.001]. Bed -sharing [beta = 0.25, t (165) = 2.75, p = 0.07] and maternal age at birth [beta = 0.15, t (165) = 2.05, p = 0.043] were significant factors associated with CSHQ score on the top of autism traits. Stepwise linear regression modeling identified that only separation anxiety disorder (beta = 4.83, t = 2.40, p = 0.019) best-predicted CSHQ. In summary, autistic children suffered from significantly more sleep problems and co-occurring separation anxiety disorder brings greater sleep problems as compared to non-autistic children. Clinicians should be more aware of sleep problems to provide more effective treatments to children with autism.

Sleep disturbance has the largest impact on children's behavior and emotions.

Children's behavior and emotions are affected by sleep disturbances, the parent-child relationship, media viewing time, and the social status of parents and caregivers. We conducted a questionnaire survey to identify the factors that have the greatest impact on children's behavior and emotions and how these factors relate to each other. A parental questionnaire survey was performed at a public elementary school. The questionnaire comprised questions on the family environment (e.g., family structure, media and game exposure, after-school lessons, and caregiver's work schedule) and physical information, the Strengths and Difficulties Questionnaire (SDQ), the Children's Sleep Habits Questionnaire (CSHQ), and the Pittsburgh Sleep Quality Index (PSQI) for parents' sleep condition. A path diagram was drawn to hypothesize the complex interrelationships among factors, and structural equation modeling was used to estimate the path coefficients. We identified several factors that significantly affected the SDQ score. The CSHQ total score had the largest impact, followed by after-school lessons, single-mother families, and children's sex. In addition, several indirect pathways that led to the CSHQ score (i.e., a pathway from time spent watching television to CSHQ score via children's bedtime and a pathway from single-mother family to CSHQ score via PSQI total score) significantly affected the SDQ score. Children's sleep habits that were influenced by several environmental factors had the greatest impact on children's behavior and emotions, which suggested that children's behavioral problems can be improved by interventions focused on sleep habits, such as sleep hygiene instructions.

Determinants of sleep disturbance and sleep quality in children of mothers with fibromyalgia.

This study aimed to determine whether maternal diagnosis of Fibromyalgia syndrome (FMS) affects the sleep quality of children. This prospective study was conducted with 80 female participants (mean age: 36.2±5.9 years; range 25 to 50 years) and their 80 children (27 males, 53 females; mean age: 6.6±2.6 years; range 2 to 12 years) between August 2019 and November 2020. The FMS group included 40 female FMS patients and their children, whereas the control group consisted of 40 healthy females and their children. In addition to sociodemographic variables, functional status was evaluated by the Fibromyalgia Impact Questionnaire (FIQ), which was completed by mothers with FMS, and the Children's Sleep Habits Questionnaire (CSHQ) was used to evaluate the sleep quality of all children. There was no statistically significant difference between the two groups in terms of demographic characteristics (p>0.05). The CSHQ score of the two groups was above 41 points and was at a clinically significant level. The median value for the CSHQ score was 60.5 and 52 in the FMS and control groups, respectively. Sleep time, waking up at night, parasomnias, disrupted breathing during sleep, and sleepiness scores were higher in the FMS group than in the control group, and the differences were statistically significant (p<0.001). The delayed falling asleep score, which was reversely coded, was lower in the FMS group than in the control group, and the difference was statistically significant (p<0.001). This pilot study showed that the children of mothers with high Fibromyalgia Impact Questionnaire scores had sleep disorders. Maternal diagnosis of FMS negatively affects the sleep quality of children.

Early-Life Exposure to PM2.5 and Sleep Disturbances in Preschoolers from 551 Cities of China.

Rationale: Air pollution has been linked with sleep disturbance in adults, but the association in children remains unclear. Objectives: To examine the associations of prenatal and postnatal exposure to fine particulate matter (particulate matter ⩽2.5 μm in aerodynamic diameter; PM2.5) with sleep quality and sleep disturbances among children in 551 Chinese cities. Methods: A total of 1,15,023 children aged 3-7 years from the Chinese National Cohort of Motor Development were included. Sleep quality was measured using the Children's Sleep Habits Questionnaire (CSHQ). PM2.5 exposure was estimated using a satellite-based model. Generalized additive mixed models with Gaussian and binomial distributions were used to examine the associations of PM2.5 exposure with CSHQ scores and risk of sleep disturbance, respectively, adjusting for demographic characteristics and temporal trends. Measurements and Main Results: Early-life PM2.5 exposure was associated with higher total CSHQ score, and the association was stronger for exposure at age 0-3 years (change of CSHQ score per interquartile range increase of PM2.5 = 0.46; 95% confidence interval [CI], 0.29-0.63) than during pregnancy (0.22; 95% CI, 0.12-0.32). The associations were more evident in sleep-disordered breathing and daytime sleepiness. Postnatal PM2.5 exposure was associated with increased risk of sleep disturbance (adjusted odds ratio for per-interquartile range increase of PM2.5 exposure at age 0-3 years, 1.10; 95% CI, 1.04-1.15), but no associations were found for prenatal exposure. Children who were exclusively breastfed for <6 months and had neonatal ICU admission may be more vulnerable to sleep disturbance related to PM2.5 exposure. Conclusions: PM2.5 exposure can impair sleep quality in preschool children.

Sleep problems in preschool children at the child development center with different developmental status: A questionnaire survey.

ObjectiveTo investigate the relationship between sleep problems and development in preschool children with suspected developmental delay.MethodsA total of 192 preschool children (mean age 4 years; 131 males, 61 females) were recruited from the Child Development Clinic, including 98 preterm children and 94 age- and sex-matched full-term children. All participants underwent evaluation of gross motor, fine motor and speech performance. All parents of all participants completed the Children's Sleep Habits Questionnaire (CSHQ). Some of the participants also underwent psychological evaluation. Correlation analysis and community network analysis were used to investigate the interactions.ResultsThe developmental status was: 75.5% developmental delay, 19.3% borderline development, and 5.2% normal development. Eighty-nine percent of the subjects had abnormal CSHQ scores. Age, gestational age, speech development, cognitive development, and socio-emotional development were significantly correlated with the CSHQ. Significant interactions between sleep problems and development were noted mostly in the preterm group.ConclusionHigh prevalence of sleep disturbances in children at the Child Development Center was noted and associated with multiple factors. Therefore, during the multidisciplinary evaluation of children with possible developmental delay, inquiring about their sleep quality and habits is strongly recommended. Mitigating sleep problems enhances the efficacy of early intervention programs.

Genetic Pathways Associated With Sleep Problems in Children With Autism Spectrum Disorder.

AimsChildren on the autism spectrum are more likely to have sleep problems than non-autistic children. Sleep disturbance may exacerbate emotional and behavioral problems of children on the autism spectrum. A better understanding of the biological mechanisms underlying sleep disturbance provide clues to better management for this co-morbid condition in autism. The goal of the current study is to identify genetic variants associated with sleep disturbance and melatonin levels in autistic children.MethodsA total of 969 children on the autism spectrum were genotyped using the Global Screening Array v1 or Global Screening Array v2. Sleep problems were assessed using the Children's Sleep Habits Questionnaire (CSHQ). Melatonin levels were measured using the urine samples of 219 probands. The relationship between the melatonin level and CSHQ score was examined using the general linear model. The genetic variants associated with the CSHQ score and melatonin level as two separate quantitative traits were determined using genomewide association studies.ResultsThe data indicates that urine melatonin levels were positively associated with CSHQ scores, suggesting that autistic children with a poorer sleep qualiy could has higher melatonin level. Furthermore, genetic assocication studies suggest that genetic pathways involved in pro-inflammatory responses might be involved in sleep disturbance, while genetic pathways involved in catecholamine-secreting PC12 cells and Schwann cells could be associated with melatonin levels.ConclusionsTaken together, our findings indicate that sleep disturbance and melatonin metabolism could be attributable to distinct biological mechanisms in autistic children since they might not share genetic contributors.

Sleep Patterns and Myopia Among School-Aged Children in Singapore.

PurposeTo evaluate the associations of sleep factors with myopia, spherical equivalent (SE), and axial length (AL) in elementary school-aged children from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort.MethodsThis cross-sectional study included multi-ethnic children who participated in the GUSTO prospective birth cohort and were delivered in two major tertiary hospitals in Singapore (2009–2010). Sleep factors and myopia outcomes were assessed at the 8- and 9-year study visits, respectively. Parent-reported sleep quality was assessed with the Children's Sleep Habits Questionnaire (CSHQ) total scores. Additionally, each child's sleep duration, timing (bedtime; waketime), and the consistency of sleep duration or timing (i.e., the difference between weekends and weekdays) were parent-reported. Outcomes included cycloplegic SE, myopia (SE ≤ −0.5 D) and AL. Eye measurements from both eyes were included in the analyses. Multivariable linear or logistic regression with Generalized Estimating Equations were used to account for the correlation between paired eyes and confounders in the associations of sleep factors at age 8 and myopia at age 9.ResultsA total of 572 multi-ethnic children (49.5% boys; 56.1% Chinese) aged 9 years were included in the analyses. Overall, 37.3% of eyes were myopic. Children reported a mean total CSHQ score of 46 [standard deviation (SD) = 6]. The mean duration of sleep was 9.2 (SD = 1.0) hours per day (h/day), with 59.9% of children reporting sufficient sleep (≥9 h/day) based on guidelines recommended by the National Sleep Foundation, USA. The mean bedtime and wake time were 22:00 (SD = 00:53) and 07:08 (SD = 00:55), respectively. In multivariable regression models, total CSHQ scores, the duration of sleep, bedtime and wake time were not significantly associated with myopia, SE, or AL (p ≥ 0.05 for all), adjusting for gender, ethnicity, time outdoors, near-work, parental myopia, maternal education levels (and additionally the child's height when the outcome was AL). Similarly, the consistency of both the duration and timing of sleep (across weekends and weekdays) were not significantly associated with myopia, SE, or AL (p ≥ 0.05 for all).ConclusionIn this cross-sectional study, sleep quality, duration, timing, and the consistency of specific sleep factors were not independently associated with myopia, SE, or AL among elementary school-aged children in Singapore. Large longitudinal studies are warranted to corroborate these results.

The Effect of a Gluten-Free Diet on Sleep Disturbances in Children with Celiac Disease.

PurposeSleep disturbances are common in patients with celiac disease (CD), but their response to a gluten-free diet (GFD) treatment remains scarce. This study investigated the alteration in sleep disturbances within 6 months of starting a GFD in children with CD.Patients and MethodsA total of 103 children initially diagnosed with CD, with no psychiatric diagnosis and not receiving psychotropic medication, were included in this study. Sociodemographic data were collected, and the Children’s Sleep Habits Questionnaire (CSHQ) was completed both before and after six months of initiating a GFD.ResultsOverall, the total average CSHQ score was 46; after starting the GFD, this decreased to 40, which was under the clinically significant cutoff level for sleep disturbance (p < 0.001). A total of 74 patients (71.8%) had a CSHQ score above the clinically significant cutoff before treatment, which decreased to 40 patients (38.8%) six months after GFD (p < 0.001). A significant improvement was detected in all CSHQ subscale scores and in the total CSHQ score after starting the GFD (p < 0.001). Parasomnia and the total CSHQ score were higher in children who were diagnosed incidentally compared to symptomatic children but did not differ after GFD (p < 0.005). In 39 patients (37.8%), the total CSHQ score remained high 6 months after starting the GFD. Maternal and paternal ages were significantly higher in children whose scores remained high (p < 0.05).ConclusionA significant improvement in sleep scores was detected after starting a GFD, regardless of initial age, sex, and symptom status. With a GFD, children may fall asleep more easily and sleep for longer with less interruptions. GFD may help to reduce sleep disturbances in CD, but future studies should investigate the certain conditions in patients who do not respond to a GFD.

Associations Between Daytime Physical Activity and Sleep Patterns in Children With Epilepsy

Epilepsy is one of the most common chronic neurological diseases in children. Sleep disorders tend to increase the risk of seizures, and research has found that moderate physical activity may improve the quantity and quality of sleep in adults. However, the link between physical activity level and sleep patterns in toddlers and preschool-age children with epilepsy remains unclear. To explore the association between level of physical activity and sleep patterns in toddlers and preschool-age children with epilepsy. A cross-sectional, descriptive, correlational study was conducted. Ninety-eight children with epilepsy (1.5-6 years old) wore an actigraph for seven days. Additional data were collected using a health information datasheet, Children's Sleep Habits Questionnaire (CSHQ), and sleep diary, all of which were completed by the parents of each child. The results showed that the mean amount of time spent in moderate-to-vigorous physical activity per day was 36.00 ± 49.20 minutes and that only 23 children (23.5%) had a nighttime sleep efficiency greater than 85%. The overall CSHQ score (56.00 ± 5.69) indicated the presence of moderate to severe sleep disturbances. Multiple regression analysis showed the hours and percentage of moderate-to-vigorous physical activity to be positively associated with night sleep efficiency (β = .54, p < .01; β = .51, p < .01) and negatively associated with nighttime sleep hours (β = -.55, p < .01; β = -.52, p < .01), even after controlling for potential confounders. Based on the findings, the sleep patterns and physical activity of children with epilepsy should be regularly assessed. Furthermore, appropriately increasing the duration of moderate-to-vigorous physical activity may improve sleep efficiency and prevent reductions in the duration of night sleep.

Sleep Characteristics Among Children with Idiopathic Generalized Epilepsy: A Polysomnography-Based Study.

This study was designed to describe the sleep profile in a cohort of children 5-15 y with idiopathic generalized epilepsy (IGE) using polysomnography (PSG) and Children's Sleep Habits Questionnaire (CSHQ) and Pittsburg Sleep Quality Index (PSQI). The controls included age- and gender-matched healthy controls. A total of 30 cases of IGE and matched 30 controls were enrolled in study. The global CSHQ score [58.8 (10.8) vs. 32.3 (4.1); p < 0.01] and PSQI score [2.4 (1.6) vs. 0.9(0.3); p < 0.01] was significantly higher among children with IGE as compared to controls. REM sleep duration was significantly lower and other parameters including AHI [2.8 (1.9, 4.6) vs. 2.6 (1.3, 2.9); p = 0.04], frequency of arousals [51.5 (36.7, 71.5) vs. 27 (24, 43); p < 0.01], percentage of oxygen desaturation > 4% [23.5 (8, 36.5) vs. 4 (2, 8); p < 0.01], were significantly higher among children with IGE when compared to controls. Children with IGE havesleep disturbances and alteration in sleep architecture. Theyshould be assessed and screened for sleep characteristics.

The effect of sleep disturbance on social cognition in drug-naïve children with attention deficit and hyperactivity disorder

BackgroundA wide variety of psychiatric conditions are associated with social cognitive deficits. The relationship between social cognition and many factors, especially executive functions (EF), has been examined, but there is no study examining sleep and social cognition in children with attention deficit activity disorder (ADHD). It is important to find new approaches and intervention areas to improve their social cognitive skills. The main hypothesis of our study was that sleep disturbance would predict lower social cognition scores. We hypothesized that sleep disturbances and EF impairment could predict lower social cognitive performance. MethodsEighty-five children aged 7–12 years with drug-naïve ADHD were included in the study. Reading the Mind in the Eyes Test (RMET) and Faux Pas Recognition Test (FPRT) were used for social cognition performance; Stroop test was used for executive function performance. Sleep disturbance was evaluated with Children's Sleep Habits Questionnaire (CSHQ), ADHD severity with Conners Parent Rating Scale (CPRS). Hierarchical multiple regression analyses were performed to determine predictive factors of the FPRT and RMET. ResultsAge, gender, and comorbidity were included at step 1, CPRS-RS score was included at step 2, Stroop test part V score was included at step 3, CSHQ total score and sleep duration were included at step 4. Lower sleep disturbance score on CSHQ was associated with higher social cognition FPRT score (p = 0.014). There was no significant relationship between CSHQ and social cognition RMET score. Lower EF score on Stroop test part V was associated with higher social cognition FPRT score (p = 0.002) and higher social cognition RMET score (p < 0.001). ConclusionThese results showed that sleep disturbance and EF are both associated with social cognitive impairment, sleep particularly with the cognitive component. Identifying sleep problems in children with ADHD may provide helpful information in understanding and treating social cognitive impairments. This study is the first to draw attention to the relationship between sleep and social cognition.

Assessment of preschool children's sleep habits in relation to the time spent watching television

Aims To assess preschool children's sleep habits and television viewing habits, parents' perceptions about TV viewing and any correlation between the two. Methods The study was conducted between March and June 2018 in randomly selected kindergartens of a large city in Greece. A total of 100 pre-school children and their parents participated in the study. Two questionnaires, the Children's Sleep Habits Questionnaire (CSHQ) and the Children's Television-Viewing Habits Questionnaire (CTVQ), were validated in Greek and used for this study. Results Children's age (P=0.001), parents' educational level (P&lt;0.001) and number of siblings (P&lt;0.001) were found to significantly affect the time children spent watching TV daily. Fathers' age (P=0.004), number of siblings (P=0.001) and time children spent watching TV daily (P=0.007) were negatively correlated with CSHQ score. Conclusions Pre-school aged children spend a large amount of time watching TV, which results in altered sleep patterns, despite parents encouraging them to participate in other activities. Healthcare professionals should provide parents, teachers and children with evidence-based information and advice in order to lower the incidence of sleep disorders resulting from excessive time spent watching TV.

Links between parent-reported measures of poor sleep and executive function in childhood autism and attention deficit hyperactivity disorder

ObjectivesThis study sought to assess whether poor sleep is associated with aspects of executive function (EF) among children with autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), or typical development (TD), after adjusting for demographic variables, stimulant medications, intelligence, anxiety, inattention, and hyperactivity. DesignCross-sectional. SettingChildren recruited through ongoing studies at the Kennedy Krieger Institute. ParticipantsWe studied 735 children (323 TD; 177 ASD; 235 ADHD) aged 8 to 12 years. MeasurementsWe investigated associations of parent-reported sleep measures from the Children's Sleep Habits Questionnaire (CSHQ) with parent-report measures of EF and performance-based processing speed with each clinical population. EF was measured using 8 clinical T scores that fall under 2 domains (behavioral regulation and metacognition) from the Behavior Rating Inventory of EF (BRIEF) and the processing speed index from the Wechsler Intelligence Scale for Children-IV or -V. ResultsHigher CSHQ scores were associated with poorer EF on all BRIEF scales, across all child groups, after adjustment for demographic factors, stimulant medications, and IQ. Among children with ADHD, these associations largely remained after adjusting for anxiety. Among those ASD, anxiety partially accounted for these associations, especially for behavioral regulation EF outcomes. Co-occurring symptoms of inattention and hyperactivity/impulsivity further accounted for the associations between sleep and EF. Poor sleep was not significantly associated with processing speed. ConclusionsStrong links exist between parent-reported poor sleep and executive dysfunction in children with typical development. Targeting anxiety may alleviate executive dysfunction, especially among children with ASD.

Sleep problems in Australian children with Down syndrome: the need for greater awareness

BackgroundChildren with Down Syndrome (DS) have a high prevalence of obstructive sleep apnoea (OSA). Non-respiratory sleep disorders also occur commonly but are less well recognised. This cross-sectional study evaluates the prevalence of sleep difficulties in a community sample of Australian children with DS (DScomm), using the Children's Sleep Habits Questionnaire (CSHQ), and compares them to children referred to the sleep clinic (DSref). To our knowledge this is the first study to have reported prevalence of sleep problems in Australian children with DS and to compare a community and referred group of children with DS directly. MethodsThe CSHQ was completed by parents of children with DS recruited from the community (DScomm) via survey distributed by Down syndrome Queensland and Australia. A second group was recruited through the tertiary sleep clinic at our institution (DSref) and completed the same questionnaire on enrolment. Data from these groups was compared. ResultsThere were 76 participants in the DScomm group (57% male; median age 9.7yrs) and 42 participants in the DSref group (50% male; median age 6.97yrs). The overall prevalence of sleep disturbances was 90.9% in the DScomm group, and 85.7% in the DSref group (p = 0.54). There was a statistically significant difference in the mean total CSHQ score, with the DScomm having the higher score (p = 0.023). ConclusionsThis study reports a high prevalence of sleep problems in both a community and referred group of Australian children with DS and suggests that there are many children with DS with sleep problems, particularly non-respiratory difficulties, who are potentially not receiving adequate treatment.

The Gut Microbiota and Associated Metabolites Are Altered in Sleep Disorder of Children With Autism Spectrum Disorders.

BackgroundAutism spectrum disorder (ASD) is a type of neurodevelopmental disease that is frequently accompanied by sleep disorder. Herein, we investigated changes in the gut microbiota and its metabolites correlated with core symptoms and sleep problems in children with ASD.MethodsOne hundred and twenty children diagnosed with ASD based on Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria were enrolled in our study. The Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS), and Childhood Autism Rating Scale (CARS) were used to assess autism symptoms, and the Children Sleep Habits Questionnaire (CSHQ) was employed to evaluate sleep problems in children with ASD. The 120 children were divided into a sleep disorder group (n = 60) and a control group without sleep disorder (n = 60) according to the CSHQ answers. Illumina MiSeq analysis of 16S rRNA genes was used to compare differences in gut microbiota, and metabolomics analysis was employed to asses associated metabolites.ResultsSRS and CARS scores for the sleep disorder group were significantly higher than for the control group (p < 0.05). The abundances of butyrate-producing bacteria Faecalibacterium and Agathobacter were reduced significantly in the sleep disorder group (p < 0.05), and this was negatively correlated with CSHQ score (p = 0.007 and p = 0.014, respectively). The abundance of Agathobacter was also negatively associated with the ABC language score (p = 0.044). Furthermore, levels of 3-hydroxybutyric acid and melatonin were significantly lower (p < 0.05) while serotonin levels were higher (p < 0.05) in the sleep disorder group. The 3-hydroxybutyric acid level was positively associated with Faecalibacterium abundance (p = 0.000), and melatonin was positively associated with the abundance of Faecalibacterium (p = 0.036) and Agathobacter (p = 0.041). We also observed negative correlations between 3-hydroxybutyric acid and CSHQ (p = 0.000) and CARS (p = 0.009), between melatonin and CSHQ (p = 0.002) and ABC sensory score (p = 0.021), and a positive correlation between serotonin and CSHQ (p = 0.002) and ABC sensory score (p = 0.025).ConclusionsASD children with sleep disorder exhibited declines in the abundance of Faecalibacterium and Agathobacter, decreased levels of 3-hydroxybutyric acid and melatonin, and an increase in serotonin. These changes may aggravate sleep problems and core symptoms in children with ASD.

Sleep habits of children diagnosed with attention/ deficit/ hyperactivity disorder and effects of treatment on sleep related parameters.

This study aimed to evaluate the baseline sleep habits of children with ADHD and the effects of treatment with methylphenidate (MPH) and atomoxetine (ATX) on sleep parameters. Treatment naive children with clinically normal intelligence diagnosed with ADHD were enrolled in the study. Children were treated naturalistically with MPH and ATX. Treatments were started at 0.5 mg/ kg/ day and titrated weekly to a maximum of 1.2 mg/ kg/ day. The daily equivalent dose was calculated according to clinician toolkits of Utah Academy of Child and Adolescent Psychiatry. DSM-IV Based Screening and Assessment Scale for Disruptive Behavior Disorders- Parent form (DBSASDBD) and Clinical Global Impression Scale were used to assess ADHD symptoms and Children's Sleep Habits Questionnaire (CSHQ)- Short Form was used to assess the sleep habits and problems before and after the treatment. Both MPH and ATX reduced symptom severity of ADHD in all domains and also reduced total CSHQ scores with similar effect sizes. (0.7 for MPH vs. 0.8 for ATX). The rate of clinically significant sleep problems at baseline was 93.5 %. At the end-point, 83.9 % of the sample still displayed clinically significant sleep problems while none of the children were judged to have moderate-severe sleep problems. Our results suggest that both ATX and MPH may selectively improve different sleep domains in children with ADHD. Studies using standardized dosing schemes for longer durations and evaluating sleep with objective measurements may clarify the differential effects of treatments on sleep among children with ADHD.