Sleep health in Indigenous Australian children: a systematic review

To what extent could eliminating racial discrimination reduce inequities in mental health and sleep problems among Aboriginal and Torres Strait Islander children? A causal mediation study

Background

Racism is a fundamental cause of health inequities for Aboriginal and Torres Strait Islander children. We estimated the potential reduction in inequities in Aboriginal and Torres Strait Islander children's mental health and sleep problems if interpersonal racial discrimination was eliminated.

Methods

We drew on cross-sectional data from the Speak Out Against Racism (SOAR; N = 2818) and longitudinal data from the Longitudinal Study of Australian Children (LSAC; N = 8627). The SOAR was completed in 2017 and the LSAC followed children from 2004 to 2014 in the kindergarten cohort and from 2008 to 2018 in the birth cohort. Exposure: Aboriginal and Torres Strait Islander status (Aboriginal and Torres Strait Islander/Anglo-European), a proxy measure of structural racism (SOAR: 10-15 years; LSAC: 4-5 years); Mediator: interpersonal racial discrimination (yes/no) (SOAR: 10-15 years; LSAC: 12-13 years); Outcomes: mental health problems (yes/no) and sleep problems (yes/no) (SOAR: 10-15 years; LSAC: 14-15 years). An interventional effects causal mediation approach was used.

Findings

Aboriginal and Torres Strait Islander children had higher prevalence of mental health problems (SOAR: 40.1% versus 13.5%; LSAC: 25.3% versus 7.6%) and sleep problems (SOAR: 28.5% versus 18.4%; LSAC: 14.0% versus 9.9%) than Anglo-European children. Hypothetical interventions eliminating Aboriginal and Torres Strait Islander children's experiences of interpersonal racial discrimination could reduce 42.4% and 48.5% of mental health and sleep inequities in SOAR (equivalent to 11.2% and 4.7% absolute reductions) and 25.6% and 1.6% of mental health and sleep inequities in LSAC (equivalent to 5.5% and 0.1% absolute reductions). Absolute remaining inequities were similar across both studies for both outcomes.

Interpretation

Targeted policy interventions that eliminate racial discrimination against Aboriginal and Torres Strait Islander children could have high potential to reduce inequities in mental health and sleep problems. Addressing racism and racial discrimination needs a multi-component and multi-level approach directed by Aboriginal and Torres Strait Islander communities.

Funding

National Health and Medical Research Council of Australia and Medical Research Future Fund of Australia.

Impact of sleep on educational outcome of Indigenous Australian children: A systematic review

INTRODUCTION

The association between quality sleep and improved cognition is well reported in literature. However, very few studies have been undertaken to evaluate the impact of poor sleep on educational outcomes in Indigenous Australian children.

OBJECTIVES

The objective of this review was to explore the association between sleep and educational outcomes of Indigenous children.

METHODS

For this systematic review, a literature search covering research articles in academic databases and grey literature sources was conducted to retrieve studies published until March 2022. Eight online e-databases (PubMed, Ovid MEDLINE, CINAHL, SCOPUS, HealthinfoNet, PsycINFO, Cochrane and Google Scholar) were searched for data extraction and two appraisal tools (NIH and CREATE) were used for quality assessment. Studies that explored any aspect of sleep health in relation to educational/academic outcomes in school going Indigenous Australian children aged 5-18 were included in this study. All review articles and studies that focused on physical/ mental disabilities or parent perceptions of sleep and educational outcomes were excluded. A convergent integrated approach was used to collate and synthesize information.

RESULTS

Only three studies (two cross-sectional and one longitudinal) met the eligibility criteria out of 574 articles. The sample size ranged from 21-50 of 6 to 13 year old children. A strong relationship was indicated between sleep quantity and educational outcomes, in two of the three studies. One study related the sleep fragmentation/shorter sleep schedules of short sleep class and early risers with poorer reading (B = -30.81 to -37.28, p = 0.006 to 0.023), grammar (B = -39.79 to -47.89, p = 0.012-0.013) and numeracy (B = -37.93 to -50.15, p = 0.003 to 0.022) skills compared with long sleep and normative sleep class whereas another reported no significant relation between sleep and educational outcomes.

CONCLUSION

The review highlights the need for more research to provide evidence of potentially modifiable factors such as sleep and the impact these may have on academic performance.

Inequities in adolescent sleep health in Aotearoa New Zealand: Cross-sectional survey findings

OBJECTIVES

To investigate ethnic inequities in, and social determinants of, adolescent sleep health in Aotearoa New Zealand.

METHODS

Analysis of self-report data from a cross-sectional survey of secondary school students (12- to 18-year-olds). Analyses included weighted prevalence estimates of good and poor sleep health stratified by ethnicity, and multivariable logistic regression models concurrently adjusted for ethnicity, school year, gender, rurality, neighborhood deprivation, school decile, housing deprivation, sleeping elsewhere due to lack of adequate housing, unsafe environment, and racism.

RESULTS

Inequities in social determinants of health were evident for Māori (Indigenous peoples of Aotearoa New Zealand; n = 1528) and minoritized (Pacific n = 1204; Asian n = 1927; Middle Eastern, Latin American, and African [MELAA] n = 210; and 'Other' ethnicity n = 225) adolescents. A greater proportion of Māori, Pacific, Asian, MELAA, and 'Other' adolescents had short sleep, compared to European (n = 3070). Māori, Pacific, Asian, and MELAA adolescents were more likely to report late bedtimes (after midnight), and Māori, Pacific, and 'Other' adolescents were more likely to report early waketimes (5 AM-6 AM or earlier), on school days. Rurality, neighborhood deprivation, school-level deprivation, housing deprivation, sleeping elsewhere due to inadequate housing, unsafe environments, and racism partially, but not fully, explained associations between ethnicity and short sleep, late bedtimes, and early waketimes.

CONCLUSIONS

Ethnic inequities exist in adolescent sleep health in Aotearoa New Zealand. Socio-political actions are needed to address racism and colonialism as root causes of ethnic inequities in adolescent sleep, to ensure all young people are afforded the basic human right of good sleep health and associated mental and physical well-being.

Establishing a telehealth model addressing paediatric sleep health in remote and rural Northern Territory Australia: Overcoming the distance barrier

AIM

This study examined the outcomes of a telehealth model for sleep health assessment among Indigenous and non-Indigenous children residing in remote and regional communities at the Top End Northern Territory (NT) of Australia.

METHODS

Video telehealth consultation, that included clinical history and relevant physical findings assessed virtually with an interstate paediatric sleep physician was conducted remotely. Polysomnography (PSG) and therapeutic interventions were carried out locally at Darwin, NT. The study participants were children referred between 2015 and 2020.

RESULTS

Of the total 812 children referred for sleep assessment, 699 underwent a diagnostic PSG. The majority of patients were female (63%), non-Indigenous (81%) and resided in outer regional areas (88%). Indigenous children were significantly older and resided in remote or very remote locations (22% vs. 10%). Referral patterns differed according to locality and Indigenous status - (non-Indigenous via private (53%), Indigenous via public system (35%)). Receipt of referrals to initial consultation was a median of 16 days and 4 weeks from consult to PSG. Remote children had slightly longer time delay between the referral and initial consult (32 vs. 15 days). Fifty one percent were diagnosed to have OSA, 27% underwent adenotonsillectomy and 2% were prescribed with CPAP therapy.

CONCLUSIONS

This study has demonstrated that a telehealth model can be an effective way in overcoming logistical barriers and in providing sleep health services to children in remote and regional Australia. Further innovative efforts are needed to improve the service model and expand the reach for vulnerable children in very remote communities.

Health behaviours associated with healthy body composition among Aboriginal adolescents in Australia in the 'Next Generation: Youth Well-being study'

This study described the distribution of healthy body composition among Aboriginal adolescents in Australia aged 10-24 years and examined associations with health behaviours and self-rated health. Data were cross-sectional from the 'Next Generation: Youth Well-being study' baseline (N = 1294). We used robust Poisson regression to quantify associations of self-reported health behaviours (physical activity, screen time, sleep, consumption of vegetables, fruit, soft drinks and fast food, and tobacco smoking and alcohol) and self-rated health to healthy body mass index (BMI) and waist/height ratio (WHtR). Overall, 48% of participants had healthy BMI and 64% healthy WHtR, with healthy body composition more common among younger adolescents. Higher physical activity was associated with healthy body composition (5-7 days last week vs none; adjusted prevalence ratio (aPR) healthy BMI 1.31 [95% CI 1.05-1.64], and healthy WHtR 1.30 [1.10-1.54]), as was recommended sleep duration (vs not; aPR healthy BMI 1.56 [1.19-2.05], and healthy WHtR 1.37 [1.13-1.67]). There was a trend for higher proportion of healthy body composition with more frequent fast food consumption. Healthy body composition was also associated with higher self-rated health ('very good/excellent' vs 'poor/fair'; aPR healthy BMI 1.87 [1.45-2.42], and healthy WHtR 1.71 [1.40-2.10]). Culturally appropriate community health interventions with a focus on physical activity and sleep may hold promise for improving body composition among Aboriginal adolescents.

Analysis of sleep problem in children aged 1-3 years with autism spectrum disorder in Zhejiang province, China

Background

High prevalence of sleep problems have been founded in children with Autism Spectrum Disorder (ASD), with rates ranging from 50 to 80%. We aimed to study the sleep status and the occurrence of sleep problems in children with autism spectrum disorder (ASD) aged 1-3 years, and to provide reference for guiding early comprehensive intervention for ASD children from the perspective of sleep.

Methods

From January 1 to December 31, 2021, 74 ASD children who met the diagnostic criteria of "Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-V)" served as case group while 84 typically-developing children of the same sex and age served as control group. An original Children's Sleep Habit Questionnaire was adopted to compare the sleep status of children in the two groups and to conduct statistical analysis on related factors.

Results

The incidence of sleep problems in the case group (78.4%) was significantly higher than that in the control group (34.5%) (P < 0.001). Compared with the children in the control group, children in the case group had later bedtime (P < 0.05) and less sleep duration (P < 0.05), and required longer time to fall asleep (P < 0.001) The incidence of sleep problems in children who could fall asleep autonomously in the case group was significantly lower than that in children who needed parental help (P < 0.05). In the case group, the longer the screen exposure time, the higher the incidence of sleep problems (P < 0.05).

Conclusions

The incidence of sleep problems in ASD children aged 1-3 years is also high, mainly manifested in late bedtime, difficulty falling asleep, frequent night awakenings and less sleep duration. Both sleep patterns and screen exposure can impact their sleep. In the early comprehensive intervention of ASD children, it is necessary to pay full heed to their sleep status and take timely intervention measures in order to improve the quality of life for the ASD children and their families.

Sleep problems in children with autism spectrum disorder: a multicenter survey

BACKGROUND

High prevalence of sleep problems have been reported in children with Autism Spectrum Disorder (ASD). This study aims to investigate the sleep conditions of ASD children in China, and explore the relationship between the common sleep problems and core symptoms and developmental levels.

METHODS

Using a cross-sectional design, we included 2 to 7-year-old children from 13 cities in China: 1310 with ASD and 1158 with typically-developing (TD) children. The neurodevelopmental level was evaluated with the revised Children Neuropsychological and Behavior Scale (CNBS-R2016). ASD were diagnosed with DSM-5 and Child Autism Rating Scale (CARS). the Social Responsiveness Scale (SRS), the Autism Behavior Checklist (ABC) and the communication warning behavior sub-scale in CNBS-R2016 valued autism behaviors. The children' s sleep habits questionnaire (CSHQ) assessed sleep conditions.

RESULTS

The prevalence of sleep disorders in ASD children was significantly higher than that in TD (67.4% vs. 51%, p < 0.01), and among them the four dimensions with the highest prevalence of sleep problems were bedtime resistance (25.6%), sleep anxiety (22.7%), sleep onset delay (17.9%) and daytime sleepiness (14.7%). ASD children with sleep onset delay or sleep anxiety had higher ABC, SRS scores and higher scores on communication warning behavior with sleep anxiety, with daytime sleepiness had higher ABC, SRS and CARS scores, and with bedtime resistance had higher SRS total scores. Differences in the neurodevelopmental level were not significant.

CONCLUSION

Children with ASD have a higher prevalence of sleep problems. Bedtime resistance, anxiety, sleep onset delay and daytime sleepiness may be related to the core symptoms, but not be related to the developmental level in ASD children. In the clinic, sleep assessment should be included in the routine of ASD visits, and during the intervention, sleep hygiene education is as important as the treatment of biological factors.

TRIAL REGISTRATION

The study was approved by the ethics committee of the Children's Hospital of Chongqing Medical University, Approval Number: (2018) IRB (STUDY) NO. 121, and registered in the Chinese Clinical Trial Registry (Registration number: ChiCTR2000031194 ).

The Prevalence of Insufficient Sleep and Bedtime Delay Among Kindergarten Children Aged 3 to 6 Years in a Rural Area of Shanghai: A Cross-Sectional Study

Introduction: Sleep deprivation in children is a global public health problem that affects the physical and mental development of children. Bedtime delay induced by longer screen time and heavy study load is a common cause of sleep deprivation in children. However, the prevalence of insufficient sleep and bedtime delay and related influencing factors among kindergarten children is limited in Shanghai, China. Methods: In 2018, we selected 8,586 children aged 3 to 6 years and their parents in Songjiang District, Shanghai. Data was collected among parents by face-to-face questionnaire interview with signed informed consent. We defined insufficient sleep as those who slept for < 10 h in children aged 3-5 years or 9 h in children aged 6 years within 24 h, and we define bedtime delay as children with bedtime after 21:00. SAS 9.1.3 software was used to calculate the prevalence of bedtime delay and insufficient sleep, and logistic regression was used to explore potential influencing factors. Results: The prevalence of insufficient sleep and bedtime delay among children aged 3 to 6 years was 11.67 and 56.85%, respectively. The prevalence of insufficient sleep among boys was slightly higher than among girls [odds ratio (OR) = 1.18, 95% confidence interval (CI): 1.04-1.35]. With the increase of the age of children, the prevalence of insufficient sleep increased gradually (P < 0.05). The prevalence of insufficient sleep was higher among the only child in the family (OR = 1.18, 95% CI: 1.02-1.36) and those with longer hours of TV watching (OR = 109, 95% CI: 1.02-1.16). Meanwhile, the prevalence of bedtime delay was also higher among the only child in the family (OR = 1.17, 95% CI: 1.06-1.79), among those with parents accompanying for sleep (OR = 1.21, 95% CI: 1.10-1.34), and those with longer TV watching time (OR = 1.13, 95% CI: 1.07-1.18). Conclusions: Insufficient sleep and bedtime delay were prevalent in Chinese children aged 3 to 6 years, especially in boys and older children. TV watching as well as parents accompanying for sleep were associated with insufficient sleep and bedtime delay. We recommend that parents should limit the screen time of children, advocate earlier bedtime and later morning wake-up among children, as well as make their children sleep in separate beds or rooms in younger age.