The Role of Sleep in Young Children's Development: A Review

Sleep patterns are associated with cardiometabolic risk factors in nine-year-old Swedish children

AIM

Sleep duration and bedtime may play a role in children's cardiometabolic health, but research is lacking. This study examined associations between sleep patterns and cardiometabolic risk factors in Swedish nine-year-olds.

METHODS

This cross-sectional study used data from three studies, where identical outcome measures were conducted in 411 nine-year-olds, 51% boys, between 2016 and 2020. Sleep was assessed with wrist-worn accelerometers and sleep journals. Children were grouped based on meeting the sleep guidelines of 9-11 h and going to bed early or late based on the median bedtime. Analysis of covariance was used to examine associations between sleep patterns and cardiometabolic risk factors.

RESULTS

Meeting sleep guidelines and going to bed early were associated with lower metabolic syndrome score (-0.15 vs. 0.42, p = 0.029), insulin resistance (0.30 vs. 0.60, p = 0.025) and insulin levels (6.80 vs. 8.87 mIU/L, p = 0.034), compared with their peers who did not meet the guidelines and went to bed later. When adjusting for total sleep time, analyses still showed associations with the metabolic syndrome score (-0.19 vs. 0.50, p = 0.011).

CONCLUSION

The findings indicate that good sleep patterns could help mediate positive overall cardiometabolic health in children.

Sex Differences in Children with Uncomplicated Attention Deficit/Hyperactivity Disorder and Sleep Problems

BACKGROUND

Approximately 7.6% of children are diagnosed with attention deficit/hyperactivity disorder (ADHD), and sleep impairments affect 25-85%. There is a noticeable lack of research on girls and sex differences. The aim of this study was to examine sex differences in children with uncomplicated ADHD and sleep problems.

METHODS

Cross-sectional baseline data were retrieved from a randomized controlled trial with weighted blankets (55 boys and 41 girls, 6-14 years) on a cohort recently diagnosed with uncomplicated ADHD and sleep problems. Differences between boys and girls in ADHD symptoms, objectively and subjectively measured sleep, anxiety, and functioning were examined via parent- or self-reported validated instruments.

RESULTS

Girls reported significantly lower (worse) satisfaction with well-being, life overall, and school, but not for family. Parents reported more sleep anxiety and night-time wakings among boys, but no sex differences in other measures and also not in self-reported measures or objective sleep measures. Children who reported worry, sadness, or unhappiness had more sleep problems.

CONCLUSIONS

Boys with ADHD and sleep problems may need support with sleep-related anxiety and night-time wakings, while girls may require support with overall functioning. Additionally, children who express feelings of worry, sadness, or unhappiness alongside their ADHD symptoms should have attention given to their sleep.

Sleep disturbances and behavioral symptoms in pediatric Sotos syndrome

Background

Sotos syndrome (SoS) is a rare overgrowth genetic disease caused by intragenic mutations or microdeletions of the NSD1 gene located on chromosome 5q35. SoS population might present cognitive impairment and a spectrum of behavioral characteristics, with a worse profile in patients with microdeletion. Although patients with SoS are known to have impaired sleep habits, very little data are available. The present study aimed to assess the prevalence of sleep disorders (SDs) in a pediatric cohort of patients with SoS and their correlation with neuropsychiatric profiles.

Methods

We included patients with a SoS diagnosis and age < 18 years; all patients underwent a comprehensive neuropsychological assessment, including evaluation of cognition, adaptive functions through the Adaptive Behavior Assessment System-Second Edition (ABAS-II), and behavioral problems using the Achenbach Child Behavior Checklist (CBCL) and Conners' Parent Rating Scale-Revised (CPRS-R:L) questionnaire. To investigate the presence of SD parents, the Sleep Disturbance Scale for Children (SDSC) was completed.

Results

Thirty-eight patients (M 61%, F 39%, mean age 11.1 ± 4.65 years) were included in the study. Although only two had a prior SD diagnosis, 71.1% (N = 27) exhibited pathological scores on SDSC. No statistically significant associations were found between positive SDSC results and genetic microdeletion, intellectual disability (ID), or other medical conditions/treatments. However, a positive correlation emerged between SDSC scores and Conners' Global Index (p = 0.048) and Restless/Impulsive (p = 0.01) scores, CBCL externalizing (p = 0.02), internalizing (p = 0.01), and total scores (p = 0.05). Conversely, a negative linear relationship was observed between the SDSC score and the ABAS GAC and ABAS CAD scores (p = 0.025).

Conclusion

We detected an SD in 71.1% of our sample, with a positive relation between SD and internalizing and externalizing symptom levels, especially hyperactivity and impulsivity. Our study demonstrated a high prevalence of SD in pediatric patients with SoS, highlighting that all patients should be screened for this problem, which has a great impact on the quality of life of patients and their families.

Exploring 24-Hour Movement Behaviors in Early Years: Findings From the SUNRISE Pilot Study in Tunisia

PURPOSE

The International Study of Movement Behaviors in the Early Years (SUNRISE) was conducted in Tunisia to assess the proportion of preschoolers who met the World Health Organization guidelines for physical activity, sedentary behavior, and sleep. The study also evaluated the feasibility of the methods for the SUNRISE study.

METHODS

Five kindergartens were recruited from urban and rural areas in Tunisia. Physical activity and sleep duration were assessed using a waist-worn ActiGraph. Screen time and sleep quality were assessed via an interview-administered parent questionnaire. The NIH Toolbox was used.

RESULTS

A total of 112 preschoolers were assessed (50 boys, age = 4.1 [0.58]). Only 18% of children met all recommendations of the World Health Organization guidelines, while 53% met the sedentary screen time (in minutes per day), and 41% met physical activity recommendation (in minutes per day). Eighty-one percent of children met the sleep duration recommendation (in minutes per day). There was good compliance with the ActiGraph protocol.

CONCLUSIONS

This pilot study provided important insights into the feasibility of the study and the movement behaviors of Tunisian preschool children. The results suggest there is a need to promote healthy levels of physical activity and sedentary screen time in children, which should be a priority in public health initiatives, including preschool curricula, in Tunisia.

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

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.

Sleep and psychological characteristics of children with cancers and type 1 diabetes and their caregivers

OBJECTIVES

Children with chronic illnesses and their parents are more at risk to develop sleep problems, which are linked to worse psychological and physical well-being. This study aimed to assess sleep patterns and their connections with psychological outcomes in children with type 1 diabetes (T1D) and cancer and their caregivers, compared to a control sample. In addition, we explored the associations between caregiver and child's sleep quality across the three groups.

METHODS

We enrolled 56 children with T1D, 33 children with cancer, and 61 healthy children between 7 and 15, and their respective caregivers. Caregivers filled out an ad-hoc survey assessing their sleep disturbances, parenting stress, general well-being, anxiety, and their children's sleep patterns and psychological adjustments.

RESULTS

Children with cancer showed lower sleep quality than the other groups. Moreover, worse psychological adjustment was associated with greater sleep disturbances in both clinical groups. As for caregivers, the cancer group reported the worst sleep quality and greater anxiety compared to the other samples. Greater anxiety was also linked to worse sleep quality. Furthermore, greater sleep problems in children were associated with poorer caregivers' sleep quality in the whole sample and the T1D group.

CONCLUSIONS

A better understanding of sleep patterns and problems for chronically ill children and their parents is fundamental to provide adequate care for these vulnerable populations. Furthermore, an illness-specific approach may better inform and guide the practitioners in clinical practice.

Sleep patterns in childhood: a longitudinal assessment from the Generation XXI birth cohort

OBJECTIVE

To describe sleep-wake patterns in young children, based on sleep characteristics in early infancy and preschool ages, identifying their main sociodemographic characteristics, and to assess the association between different sleep characteristics at both ages.

METHOD

We included 1092 children from the Generation XXI birth cohort, evaluated at six months and four years of age, by face-to-face interviews. Sleep patterns were constructed through latent class analysis and structured equation modeling, including data on wake-up time and bedtime, afternoon naps, locale of nighttime sleep and night awakenings. To estimate the association between sociodemographic characteristics and sleep patterns, odds ratios and 95% confidence intervals were computed using logistic regression.

RESULTS

Two sleep patterns were identified through latent class analysis: pattern 1 was characterized by earlier bedtime and wake-up times, while pattern 2 was defined by later times. When compared with pattern 1, pattern 2 was more frequent among children whose mothers had changed from partnered to not partnered until preschool age and those who did not stay at the kindergarten, and was less common among those with siblings. Through structured equation modeling, an aggregating factor was identified at preschool age, which was mainly correlated with bedtime and wake-up time. A positive association between sleep characteristics evaluated in early infancy and in preschool ages was observed.

CONCLUSIONS

Sleep patterns and circadian sleep preferences seem to be developed early in life, which highlight the importance of promoting an adequate sleep hygiene from infancy, assuming its impact on sleep quality during the life course.

Sleep Patterns in Young Children with Congenital Heart Disease

Sleep patterns of 419 toddlers with congenital heart disease were comparable with the normative population except for increased likelihood across the cohort of sleeping in parents' room and increased disrupted sleep in children aged 18-23 months. Disrupted sleep patterns were associated with lower maternal education and increased medical complexity.

Unfavorable Behaviors in Children Run in Packs! Dietary and Non-Dietary Modulators of Attentional Capacity

Children's cognitive performance can be influenced by behaviors such as eating breakfast in the morning. The aim of this analysis was to investigate the mediating effects of breakfast behavior and other lifestyle habits on eye-hand coordination and attention. In a secondary analysis of the CogniDROP study, children from the 5th and 6th grade of a comprehensive school in Germany (n  =  223) performed a simple computerized Visual Attention Task and answered a questionnaire about behavioral patterns, i.e., skipping breakfast on a school day, frequency of physical activity (PA) outside school, and nighttime sleep. An association matrix was constructed to show the relationship between the variables. Almost 11% of children left home in the morning without breakfast, more than 9.5% of children reported poor sleep quality, 24.9% slept less than the recommended 9 h, and girls were insufficiently physically active. Sleep duration, bedtime, and PA correlated with skipping breakfast. Better sleep quality was positively related to reaction time in the Visual Attention Task. Overall, the data suggest that unfavorable behaviors in children tend to run in packs, just as skipping breakfast in the morning seems to be associated with other unfavorable habits, which impairs children's eye-hand coordination and attention.

The influence of sleep patterns and screen time on the sleep needs of infants and toddlers: A cross-sectional study

PURPOSE

The purpose of this study was to examine the effects of screen time and sleep patterns on the sleep needs of infants and toddlers.

DESIGN AND METHODS

A descriptive cross-sectional data were collected from 304 parents of children aged 6 to 36 months old. The screen use of children and parents was assessed with seven questions and A Brief Infant Sleep Questionnaire (BISQ) was used to assess infant sleep.

RESULTS

The results of this study indicate that children's adherence to the recommended sleep standards is poor. The most important criteria that caused poor sleeping were the number of awakenings at night, the duration of sleeplessness at night and the minimum total sleep time of <9 h. The most frequently used screen type in all of the age groups and parents was TV, followed by smartphones. As the age of the children increased, the rate of all screen-type use also increased. Factors predicting sleep needs included bedtime, the PED usage of children, parents' watching TV and care of the children by the babysitter.

CONCLUSIONS

Sleep needs are associated with the sleep patterns and screen usage of the children and parents.

PRACTICE IMPLICATIONS

Given that screen usage behaviors are tracked from infancy to early childhood, these findings highlight the need for prevention and intervention efforts, as well as for education and policy measures, to limit screen use and exposure from an early age.

Primary School Children's Sleep Habits: Association with Socioeconomic Factors and Physical Activity Habits

Sleep disorders have significant health impacts and affect children’s performance and wellbeing. This study aims to characterise the sleep habits of Portuguese primary school children considering socioeconomic factors, daily lifestyle, presence of electronic devices in the bedrooms, and the practice of physical and sports activity (PSA) and to identify clinical factors that may be related to a child’s insufficient sleeping time. This study involved 1438 primary students. Sleep habits and problems were assessed using the short version of the Children’s Sleep Habits Questionnaire (CSHQ). The mean sleep duration was 9 h 37 min/ per night (SD = 44 min). The prevalence of global sleep disturbances was 25.8%. The main factors we identified to be positively associated with a child’s sleep deficit (i.e., <10 h) were: being older than 7 years, living further away from school, having electronic devices in the bedroom, going to bed and eating dinner later, less daily time of PSA, and having higher scores on the sleep duration subscales. Sleeping and eating habits, electronic devices in the bedroom, and a low level of engagement with PSA are associated with children’s sleep disturbance and shorter sleep duration.

Actigraphy-Based Characteristics of Sleep in Paediatric Cancer Patients in Remission and a Comparison with Their Healthy Peers in the Recovery Stay

BACKGROUND

Previous research has demonstrated that paediatric cancer survivors (PCS) have lower sleep quality than their healthy peers. However, the research to date has focused mainly on self-reported data. Therefore, the aim of this cross-sectional study was to characterise selected sleep parameters in PCS using objective monitoring techniques and to compare them with a control group (CG) of their healthy peers during a structured recovery stay. A specific objective was to characterise sleep with respect to gender, age, and cancer type.

METHODS

26 PCS and 38 CG aged 7-15 years participated in the study. Selected sleep indicators (time in bed, total sleep time, sleep efficiency) were objectively assessed with an Actigraph wGT3X-BT accelerometer for 12 days during the recovery stay.

RESULTS

No significant differences were found between the PCS and CG groups in terms of the selected sleep parameters. The total time in bed was 543.1 min/day in the PCS and 537.2 min/day in the CG (p=0.91). The total sleep time was 455.3 min/day in the PCS and 457.5 min/day in the CG (p=0.57). Sleep efficiency was 85.3% in the PCS and 86.3% in the CG (p=0.36). Sleep efficiency >85% was achieved by 62% of the PCS (n=16) and 68% of the CG (n=26). There were no significant differences in sleep parameters in terms of variables such as gender, age, or cancer type.

CONCLUSION

The results of our study suggest that - under the same conditions - the PCS did not differ from their healthy peers in terms of the indicators of time in bed, total sleep time, and sleep efficiency. No significant differences according to age, gender, or cancer type were found.