Racial/Ethnic and Socio-Contextual Correlates of Chronic Sleep Curtailment in Childhood

Socioecological factors linked to co-occurring early childhood sleep health disparities and developmental outcomes: protocol for the sleep in preschoolers cross-sectional study

INTRODUCTION

Sleep deficiencies, such as sleep disordered breathing (SDB) and insufficient sleep, are linked to adverse health outcomes. These sleep deficiencies are more common in racial and ethnic minoritised children and have significant negative impacts on neurobehavioural and social-emotional development. Non-Latine Black/African American children are 4-6 times more likely than non-Latine White children to experience both SDB and short sleep duration. Although SDB and insufficient sleep often co-occur in young children, there is a paucity of research considering the potential unique and additive impacts of SDB and insufficient sleep on child outcomes, as well as racial disparities in these outcomes, thus hindering comprehensive interventions. Our study objectives are to (1) examine racial disparities in the neurobehavioural and social-emotional impacts of early childhood SDB and/or insufficient sleep and (2) identify proximal and distal socioecological factors linked to these sleep disparities and outcomes.

METHODS AND ANALYSIS

A cross-sectional observational study comparing neurobehavioural (executive functioning, attention, vigilance) and social-emotional functioning (social skills, emotion regulation) in 400 dyads consisting of caregivers and their otherwise healthy Black and White 3-5 year-old children and divided into four groups: (A) preschoolers with SDB; (B) preschoolers with insufficient sleep; (C) preschoolers with both SDB and insufficient sleep and (D) matched controls. Child SDB, insufficient sleep, neurobehavioural skills and social-emotional functioning are measured using validated objective and subjective assessment tools, with a subset of caregivers completing qualitative interviews. Primary outcomes include individual differences in neurobehavioural and social-emotional functioning in these groups of Black and White preschoolers, and multilevel socioecological factors associated with variation in outcomes. Quantitative data will be analysed using descriptive analyses, linear regression and comparison of model coefficients. Qualitative data will be coded using thematic analysis and a joint display to stratify qualitative themes by child race and sleep deficiencies.

ETHICS AND DISSEMINATION

The study protocol has been approved by the institutional review board of the Children's Hospital of Philadelphia and the University of Oregon. Results will be disseminated through peer-reviewed publications and conferences.

Measuring attraction to screen devices in early childhood: development of the Affinity-TV and Affinity-Mobile scales

Introduction

With the increasing integration of digital screen devices into our everyday life, there has been increased attention regarding the risk of "problematic" use or pathological use. Because children start using screen devices in the first few years of life, early identification of those at risk for future problematic use could inform early prevention efforts. Children's attraction to screen devices in early childhood may identify those at risk for future problematic use; however currently, there are no measures of toddlers' attraction or affinity to screen devices. The objective of this study was to develop survey measures of toddler affinity to screen media, inclusive of televisions, smartphones, and tablets.

Methods

Measures were developed using an exploratory sequential mixed methods (qualitative -> quantitative) approach. Participants were Mexican American mothers of toddlers 15-26 months old. Findings from semi-structured interviews were used to develop items reflecting parental reports of child affinity to screen devices. Items were administered by phone to 384 mothers. Analyses included evaluation of the factor structure and psychometric properties of Affinity-TV (10 items) and Affinity-Mobile (12 items), and evaluations of correlations between each scale with social emotional outcomes and demographic characteristics.

Results

Factor analysis supported a one-factor solution for each scale. Reliabilities were acceptable for both scales (Cronbach's alpha > .75). There was a significant positive correlation between Affinity-TV and Affinity-Mobile (rs = 0.44, p < 0.001). Affinity-TV was significantly positively correlated with toddler average daily minutes of TV use (rs = 0.27, p < 0.001) and average daily minutes of mobile use (rs = 0.10, p < 0.05). Affinity-Mobile was significantly positively correlated with toddler average daily minutes of mobile use (rs = 0.31, p < 0.001), but not with average daily minutes of TV (rs = -0.04, NS). Each scale was correlated with social emotional developmental outcomes.

Discussion

The Affinity-TV and Affinity-Mobile scales have good initial reliability and adequate predictive validity. These findings support the use of Affinity-TV and Affinity-Mobile in toddlers as measures of children's attraction to screen devices. These measures may help to identify early risk for problematic use, and they offer a novel way to evaluate a child's behavioral reaction to screen devices in early childhood.

Children's nocturnal awakenings and sleep duration during the first two years of life in the NASCITA cohort study

PURPOSE

Previous studies have analyzed the characteristics and prevalence of sleep disturbances among Italian children. Less attention has been paid, however, to the factors involved in sleep disturbances in the first two years of life. The goals of the present study were, therefore: 1) to provide a developmental trajectory of Italian infants' night awakenings and duration during the first two years of life and 2) to analyze which factors affect night awakenings the most over time.

METHODS

Data for this study were collected in the NASCITA cohort. During the well-child visits conducted at 6, 12, and 24 months, pediatricians asked parents to report if the child had any sleep disturbances, especially frequent night awakenings. Univariate and multivariable analyses were performed to test the association between child and family variables and the likelihood of frequent awakenings.

RESULTS

2973 toddlers, out of 5054 initially enrolled newborns, were included in this study; 875 (29.4 %) of whom presented frequent awakenings in at least one visit (peak of prevalence of 19.8 % at 12 months). Bed-sharing (adjusted OR 2.53; 95%CI:2.05-3.12) and living in the northern Italy (aOR 2.25; 95%CI:1.80-2.81) were the variables more strongly associated with an increased likelihood of frequent awakenings in the binomial logistic regression, while sleeping alone was associated with a decreased chance (aOR 0.62; 95%CI 0.45-0.89). A short sleep duration (<11 h/day) was reported for 801 (26.9 %) at 12 months, for 743 (25.0 %) at 24 months of age; in 383 cases, the short sleep duration was reported at both time points. An association was observed between frequent awakenings at 12 or 24 months and short sleep duration (OR 1.23; 95%CI 1.05-1.44 -ꭓ2 6.25, p = 0.012).

CONCLUSIONS

The current study identified some early predictors of frequent awakenings during the first two years of life. Since optimal sleep practices in children are essential for their development, effective, early interventions must be defined and integrated into pediatric care practices.

The Role of Racism in Childhood Obesity

PURPOSE OF REVIEW

Obesity rates continue to rise among children and have shown persistent racial disparities. Racism plays a potentially essential and actionable role in these disparities. This report reviews some mechanisms through which racism may shape childhood obesity.

RECENT FINDINGS

From the youngest ages, disparities in childhood obesity prevalence are already present. Racism may shape intergenerational and prenatal factors that affect obesity and various stressors and environments where children grow up. The relationships between clinicians and patients may also be shaped by everyday racism and legacies of past racism, which may affect obesity prevalence and treatment efficacy. Comprehensive data on the extent to which racism shapes childhood obesity is limited. However, compelling evidence suggests many ways through which racism ultimately does affect childhood obesity. Interventions to address racism at multiple points where it shapes childhood obesity, including intergenerational and prenatal mechanisms, may help to close disparities.

Childhood sleep: assessments, risk factors, and potential mechanisms

BACKGROUND

Sleep problem is a highly prevalent health issue among pediatric populations across the world. In this review, we aimed to identify risk factors contributing to sleep deficiency and poor sleep hygiene in children. Potential biological, psychosocial, and environmental mechanisms as well as research gaps in the literature are also discussed.

DATA SOURCES

A comprehensive search for relevant English language full-text, peer-reviewed publications was performed focusing on pediatric sleep studies from prenatal to childhood and adolescence in a variety of indexes in PubMed, SCOPUS, and Psych Info. Both relevant data based and systematic reviews are included.

RESULTS

This paper summarizes many risk factors for childhood sleep problems, including biological (e.g., genetics, gender, age and puberty, prenatal factors, postnatal factors); nutritional (e.g., macronutrients, micronutrients, omega-3 fatty acids, obesity); environmental (e.g., heavy metals, noise, light, air pollution); interpersonal (e.g., family, exposure to violence, screen media use, physical injury); and community/socioeconomic variables (e.g., racial/ethnicity and cultural factors, neighborhood conditions and socioeconomic status, school factors, public health disasters/emergencies), to better understand the development of sleep problems in children.

CONCLUSIONS

Poor childhood sleep is a multifactorial issue affected by a wide range of prenatal and early-life biological, environmental, and psychosocial risk factors and contributors. A better understanding of these risk factors and their mechanisms is an important first step to develop future research and prevention programs focusing on pediatric sleep problems.

Maternal Perceptions of Evidence-Based Early Childhood Sleep Health Promotion Recommendations: An Explanatory Sequential Study

OBJECTIVES

The purpose of this explanatory sequential design study was to better understand caregivers' perceptions about and interest in evidence-based early childhood sleep health promotion recommendations.

METHOD

A purposeful sample of mothers of 20 1-5-year-old children (10 children exhibiting optimal sleep and 10 children exhibiting insufficient/fragmented sleep) attending a preschool serving a low socio-economic (SES) status metropolitan community were invited to participate in qualitative interviews. Data were coded according to a grounded theory approach and themes were identified within the optimal and suboptimal sleeper groups.

RESULTS

Mothers reported different approaches to managing electronics by optimal/suboptimal sleeper group, with mothers of optimal sleepers limiting access to electronics more than mothers in the suboptimal sleep group. Other themes of sleep health practices did not differ meaningfully between groups.

CONCLUSIONS

Maternal perspectives about early childhood sleep health were similar across optimal and suboptimal sleepers on most elements of child sleep health. Managing child sleep was contextually influenced and these results highlight the complexities of how families living in lower SES environments perceive common sleep recommendations. Thus, sleep health education efforts should be tailored to the needs and values of specific families and communities.

Gaps in Parental Understanding of Sleep Disturbances During Maintenance Therapy for Pediatric Acute Lymphoblastic Leukemia

Background: Acute lymphoblastic leukemia (ALL) is the most common cancer in childhood, with survival rates approaching 90%. Sleep disturbance is common among ALL patients, often developing during the initial stages of chemotherapy treatment. While there have been significant efforts to understand and intervene in this issue during survivorship, there is far less research on children who are actively receiving treatment. In the current study, we sought to better understand the parent's experience in the sleep domain during maintenance therapy, including their perceptions of how their child's medical team had managed sleep disturbances, and recommendations for how to improve sleep management. Method: Fifteen parents of pediatric ALL patients (aged 4-12 years) completed semistructured interviews. Interview content was analyzed using a multistage thematic analysis. Results: Parents consistently expressed feeling unprepared to manage the sleep disruptions that arose during treatment, often reporting that they did not recall being told this would be a side effect. They were enthusiastic about learning how to improve their child's sleep, though they did not want pharmacotherapeutic interventions or additional medical/psychosocial appointments to address this. Conclusion: Despite consistent provider communication on sleep, parents report limited knowledge of the issue. This provides an obvious intervention target to improve treatment-related sleep disturbances. Clear messaging may help direct parents' attention and expectations regarding their child's treatment and potential for disturbed sleep, possibly in the form of a behavioral intervention that empowers parents with information about how to support their child's sleep health while they are undergoing treatment for ALL.

Variation in Caregiver-Reported Child Sleep Patterns and Problems by Family Socioeconomic Indicators

OBJECTIVE

Previous studies of sleep patterns, as well as rates and correlates of perceived problems in early childhood, indicate variation by neighborhood-level socioeconomic indicators. The purpose of this study was to examine variation in (1) sleep patterns, behaviors, and problems by family-based socioeconomic indicators (income-to-needs ratio and caregiver education level) and (2) sociodemographic and sleep correlates of a caregiver-endorsed child sleep problem across and within socioeconomic indicator groups in a diverse sample.

METHODS

Two hundred eighty-three caregiver-child dyads (ages 1-5 years) completed the Brief Child Sleep Questionnaire. Family-level socioeconomic indicators included income-to-needs ratio and caregiver educational level.

RESULTS

Sleep patterns varied based on income-to-needs ratio, with children living in poverty experiencing the longest sleep onset latencies and night awakening durations and shortest nighttime sleep durations. Rates of an endorsed child sleep problem were similar across income-to-needs groups. Although sleep patterns did not vary by caregiver education level, caregivers with an education beyond high school were more likely to endorse a child sleep problem; later bedtimes, more frequent night awakenings, and greater bedtime difficulties were the strongest correlates of a perceived sleep problem in this subgroup. No specific correlates of a child sleep problem emerged for those with a high school education or less.

CONCLUSION

Sleep patterns may be more robustly linked to family income-to-needs ratio, whereas perceptions of a child sleep problem may be more linked to caregiver education level. Clinicians should consider expanding sleep screening questions to include specific sleep outcomes to effectively assess child sleep and guide intervention.

Defining and Promoting Pediatric Pulmonary Health: Understanding Sleep and Ventilatory Health

Healthy sleep and optimal ventilatory control begin in early development and are crucial for positive child outcomes. This paper summarizes information presented at the Sleep and Ventilatory Control sessions of the National Heart, Lung, and Blood-sponsored 2021 Defining and Promoting Pediatric Pulmonary Health workshop. These sessions focused on pediatric sleep health, screening for sleep health and sleep disorders in primary care using the electronic health record, infant sleep and ventilatory control, and home sleep testing. Throughout this summary, we discuss key gaps in and barriers to promoting sleep and ventilatory health that were identified during the workshop sessions. We conclude with strategies to address these gaps and barriers and directions for future multidisciplinary research, patient care, and training.

Longitudinal associations between sleep and weight status in infants and toddlers

BACKGROUND

The limited research assessing relationships between sleep duration and weight status in infants and toddlers relies primarily on parent-reported sleep and cross-sectional studies.

OBJECTIVES

Examine whether average sleep duration and changes in sleep duration among 6-24-month-old children were associated with weight-for-length z-scores, and whether these associations varied by race/ethnicity, socioeconomic status and sex.

METHODS

Data were collected when children were approximately 6, 12, 18 and 24 months old (N = 116). Sleep duration was measured using actigraphy. Weight-for-length z-scores were calculated using children's height and weight. Physical activity was assessed using accelerometry. Diet was assessed using a feeding frequency questionnaire. Demographic characteristics included sex, race/ethnicity and socioeconomic status. Separate associations of between- and within-person changes in sleep duration were estimated with weight-for-length z-score treated as the outcome variable in linear mixed model analyses. Additional models were assessed that included interactions between sleep and demographic characteristics.

RESULTS

At time points where children slept longer at night compared to their own average, their weight-for-length z-score was lower. This relationship was attenuated by physical activity levels.

CONCLUSIONS

Increasing sleep duration can improve weight status outcomes in very young children who have low physical activity levels.

Pediatric sleep: current knowledge, gaps, and opportunities for the future

This White Paper addresses the current gaps in knowledge, as well as opportunities for future studies in pediatric sleep. The Sleep Research Society's Pipeline Development Committee assembled a panel of experts tasked to provide information to those interested in learning more about the field of pediatric sleep, including trainees. We cover the scope of pediatric sleep, including epidemiological studies and the development of sleep and circadian rhythms in early childhood and adolescence. Additionally, we discuss current knowledge of insufficient sleep and circadian disruption, addressing the neuropsychological impact (affective functioning) and cardiometabolic consequences. A significant portion of this White Paper explores pediatric sleep disorders (including circadian rhythm disorders, insomnia, restless leg and periodic limb movement disorder, narcolepsy, and sleep apnea), as well as sleep and neurodevelopment disorders (e.g. autism and attention deficit hyperactivity disorder). Finally, we end with a discussion on sleep and public health policy. Although we have made strides in our knowledge of pediatric sleep, it is imperative that we address the gaps to the best of our knowledge and the pitfalls of our methodologies. For example, more work needs to be done to assess pediatric sleep using objective methodologies (i.e. actigraphy and polysomnography), to explore sleep disparities, to improve accessibility to evidence-based treatments, and to identify potential risks and protective markers of disorders in children. Expanding trainee exposure to pediatric sleep and elucidating future directions for study will significantly improve the future of the field.

Health Disparities in Pediatric Sleep

This article reviews disparities in pediatric sleep health and sleep disorders from early childhood through adolescence (birth to age 18 years). Sleep health is a multidimensional construct including sleep duration, consolidation, and other domains, whereas sleep disorders reflect both behaviorally (eg, insomnia) and medically based (eg, sleep disordered breathing) sleep diagnoses. Using a socioecological framework, we review multilevel (ie, child, family, school, health-care system, neighborhood, and sociocultural) factors linked to sleep health disparities. Mechanistic research and studies using an intersectional lens to understand overlapping marginalized identities are needed to inform multilevel interventions to promote sleep health equity in pediatrics.

Racial and ethnic disparities in insufficient sleep among US in infants and preschoolers

OBJECTIVE

To examine racial and ethnic disparities and associated factors of insufficient sleep among children from infancy to preschool-aged.

METHODS

We analyzed parent-reported data on US children ages 4 months-5 years (n = 13,975) from the 2018 and 2019 National Survey of Children's Health. Children who slept less than the age-specific minimum hours recommended by the American Academy of Sleep Medicine were classified as having insufficient sleep. Logistic regression was used to estimate unadjusted and adjusted odds ratios (AOR).

RESULTS

An estimated 34.3% of children from infancy to preschool-aged experienced insufficient sleep. Socioeconomic factors (poverty [AOR] = 1.5, parents' education level [AORs] from 1.3 to 1.5); parent-child interaction variables (AORs from 1.4 to 1.6); breast feeding status (AOR = 1.5); family structure (AORs from 1.5 to 4.4); and weeknight bedtime regularity (AORs from 1.3 to 3.0) were significantly associated with having insufficient sleep. Non-Hispanic Black (OR = 3.2) and Hispanic children (OR = 1.6) had significantly higher odds of insufficient sleep compared to non-Hispanic White children. Racial and ethnic disparities in insufficient sleep between non-Hispanic White children and Hispanic children were largely attenuated by adjusting for social economic factors. However, the difference in insufficient sleep between non-Hispanic Black and non-Hispanic White children remains (AOR = 1.6) after adjusting socioeconomic and other factors.

CONCLUSIONS

More than one-third of the sample reported insufficient sleep. After adjusting for socio-demographic variables, racial disparities in insufficient sleep decreased but persistent disparities existed. Further research is warranted to examine other factors and develop interventions to address multilevel factors and improve sleep health among racial and ethnic minority group children.

Health disparities in pediatric sleep-disordered breathing

Sleep-disordered breathing reflects a continuum of overnight breathing difficulties, ranging from mild snoring to obstructive sleep apnea syndrome. Sleep-disordered breathing in childhood is associated with significant adverse outcomes in multiple domains of functioning. This review summarizes the evidence of well-described ethnic, racial, and socioeconomic disparities in pediatric sleep-disordered breathing, from its prevalence to its treatment-related outcomes. Research on potential socio-ecological contributors to these disparities is also reviewed. Critical future research directions include the development of interventions that address the modifiable social and environmental determinants of these health disparities.

Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research

STUDY OBJECTIVES

This review aims to assess the association between socioeconomic status (SES) and sleep health in the general population and the mediating effects of lifestyle and mental and physical health in this relationship.

METHODS

Observational studies testing the independent association between objective or subjective SES indicators and behavioral/physiological or clinical sleep health variables in the general population were included. PubMed/MEDLINE was searched for reports published from January 1990 to December 2019. The direction of effect was used as the primary effect measure, testing the hypothesis that low SES is associated with poor sleep health outcomes. Results are presented in the form of direction effect plots and synthesized as binomial proportions.

RESULTS

Overall, 336 studies were identified. A high proportion of effects at the expected direction was noted for measures of sleep continuity (100% for sleep latency, 50-100% for awakenings, 66.7-100% for sleep efficiency), symptoms of disturbed sleep (75-94.1% for insomnia, 66.7-100% for sleep-disordered breathing, 60-100% for hypersomnia), and general sleep satisfaction (62.5-100%), while the effect on sleep duration was inconsistent and depended on the specific SES variable (92.3% for subjective SES, 31.7% for employment status). Lifestyle habits, chronic illnesses, and psychological factors were identified as key mediators of the SES-sleep relationship.

CONCLUSIONS

Unhealthy behaviors, increased stress levels, and limited access to health care in low-SES individuals may explain the SES-sleep health gradient. However, the cross-sectional design of most studies and the high heterogeneity in employed measures of SES and sleep limit the quality of evidence. Further research is warranted due to important implications for health issues and policy changes.

CITATION

Papadopoulos D, Etindele Sosso FA. Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research. J Clin Sleep Med. 2023;19(3):605-620.

Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors

Adolescents are prone to multiple health risk behaviors. These might lead to insufficient sleep, which is inconducive to adolescent growth. Therefore, this study explored the impact of a cluster of adolescent health risk behaviors on sleep time, providing a reference for designing relevant intervention measures. From November to December 2019, a stratified cluster sampling method was used to sample middle and high schools in 4 functional districts of Chongqing, China. A total of 8546 participants were selected for a questionnaire survey. Two-step clustering helped identify the health risk behavior clusters. Multivariate logistic regression models helped examine the association between the different clusters and sleep time. The rate of insufficient sleep was 65.8%. Three types of clusters were identified, namely (1) high-risk (poor) cluster (17.3%), (2) low physical activity (medium) cluster (55.1%), and (3) low-risk (good) cluster (27.6%). The high-risk and low physical activity clusters showed that the adjusted OR values of 1.471 (1.266-1.710) and 1.174 (1.052-1.310) were significantly associated with insufficient sleep (P < .001). Adolescent health risk behaviors were clustered, and different clusters had different sleep time. Schools authorities and healthcare practitioners should formulate effective intervention measures according to the characteristics of different clusters to promote healthy growth among adolescents.

Screen-related discord and dismay in low-income Mexican American families with toddlers: A qualitative study

PURPOSE

Understanding parental experiences with managing their toddler's screen use is important to inform the design of interventions addressing early childhood screen use, yet current evidence is limited. To enhance our understanding of the context of toddler screen use, this study characterizes the screen-related discord and dismay parents experience in families with toddlers.

DESIGN AND METHODS

In-depth interviews were conducted to explore everyday experiences with screen use among low-income Mexican American caregivers of toddlers (21 mothers, 10 fathers, 1 grandmother). Transcripts were content analyzed to identify prominent themes.

RESULTS

Three themes were identified. Experiences of screen-related discord and dismay arose (1) between parent and child, (2) between parents, and (3) surfaced as parental internal dissonance about toddler screen use. Parent-child discord resulted from parental limit setting and child reactions to parental screen use, which often included tantrums. Parent-partner discord included patterns of agreeing to disagree and direct disagreement between partners. Parents also reported their own feelings of ambivalence and dismay as they struggled to reconcile their preferences against their toddler's actual screen use, while living in a screen-saturated world.

CONCLUSIONS

Findings offer insight into types of screen-related discord and dismay low-income Mexican American parents experience as they attempt to manage their toddler's screen use.

PRACTICE IMPLICATIONS

Although discord in families is normal, the screen-specific discord reported by participants warrants consideration in efforts promoting healthy screen use in families. Providers can tailor their counseling to consider the range of screen-related discord families of toddlers may experience.

Racial/ethnic disparities in infant sleep in the COVID-19 Mother Baby Outcomes (COMBO) study

OBJECTIVE

Investigate racial and ethnic differences in infant sleep and examine associations with insurance status and parent-infant bedtime behavioral factors (PIBBF).

METHODS

Participants are part of the COVID-19 Mother Baby Outcomes (COMBO) Initiative, Columbia University. Data on infant sleep (night, day and overall sleep duration, night awakenings, latency, infant's sleep as a problem) were collected at 4 months postpartum. Regressions estimated associations between race/ethnicity, insurance status, PIBBF and infants' sleep.

RESULTS

A total of 296 infants were eligible (34.4% non-Hispanic White [NHW], 10.1% Black/African American [B/AA], 55.4% Hispanic). B/AA and Hispanic mothers were more likely to have Medicaid, bed/room-share, and report later infant bedtime compared to NHW mothers. Infants of B/AA mothers had longer sleep latency compared to NHW. Infants of Hispanic mothers slept less at night (∼70 ± 12 minutes) and more during the day (∼41 ± 12 minutes) and Hispanic mothers were less likely to consider infants' sleep as a problem compared to NHW (odds ratio 0.4; 95% confidence interval: 0.2-0.7). After adjustment for insurance status and PIBBF, differences by race/ethnicity for night and day sleep duration and perception of infant's sleep as a problem persisted (∼32 ± 14 minutes, 35 ± 15 minutes, and odds ratio 0.4; 95% confidence interval: 0.2-0.8 respectively). Later bedtime was associated with less sleep at night (∼21 ± 4 minutes) and overall (∼17 ± 5 minutes), and longer latency. Infants who did not fall asleep independently had longer sleep latency, and co-sleeping infants had more night awakenings.

CONCLUSIONS

Results show racial/ethnic differences in sleep in 4-month-old infants across sleep domains. The findings of our study suggest that PIBBF have an essential role in healthy infant sleep, but they may not be equitably experienced across racial/ethnic groups.

"Struggle at night - He doesn't let me sleep sometimes": a qualitative analysis of sleeping habits and routines of Hispanic toddlers at risk for obesity

Background

Hispanic children face disproportionately higher risks for early life obesity and resultant comorbidities such as Type 2 diabetes and fatty liver disease. Sleep habits are modifiable behaviors that impact early childhood obesity; Hispanic infants have been shown to have less nighttime sleep compared to their white counterparts. Pediatricians often coach families on parents’ nighttime responsive feeding and longer child sleep duration as protective factors against early life obesity, but must understand the family context and potential barriers. This study aimed to discover the sleeping habits and routines of Hispanic toddlers at risk for obesity through the perspective of their mothers.

Methods

This qualitative study used a phenomenological approach. 14 Hispanic mothers were recruited from a Federally Qualified Health Center in Central Texas for qualitative interviews regarding their experience raising a small child. Children aged 6 to 18 months with child weight-for-length ratio ≥ 85% for age were approached for study involvement and consented during well child visits. Interviews occurred over several months during 2018–2019; NVivo software was used for analysis of qualitative themes. Two reviewers coded and used constant comparative methods to identify common themes.

Results

Mothers diverged from AAP recommended guidelines for infant and toddler feeding and sleep habits. Mothers shared their intentions and the real-life barriers to implementing recommended habits. Mothers discussed wanting to have their child sleep in a separate bed or room but not having the resources (i.e., financial, space) to do so. Additionally, mothers discussed knowing not to feed to soothe at night but couldn’t bring themselves to let their child cry if they knew feeding would soothe them. Co-sleeping, feeding to sleep, middle of the night feeding, and lack of structured sleep habits were common interview themes and potentially modifiable factors.

Conclusions

Pediatricians need to be sensitive to culture and the real-world needs of families to determine if best practices are “practical.” Themes from these parent interviews can inform tailored interventions for children at high risk of obesity. Interventions should promote responsive nighttime feeding and structured sleep, working with individual family logistics, to coach families towards optimal healthy environments and healthy child weight.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12887-022-03434-8.

Sleep Well! An adapted behavioral sleep intervention implemented in urban primary care

STUDY OBJECTIVES

To describe the adaptation, feasibility, and initial outcomes of Sleep Well!, an intervention for early childhood insomnia and insufficient sleep, designed for families from lower-socioeconomic status backgrounds presenting to large metropolitan primary care sites.

METHODS

Fifteen caregiver-child dyads (caregivers: 92.3% mothers, 80.0% Black, 53.3% ≤ 125% US poverty level; children: 73.3% female, 86.7% Black, mean age = 3.0 years) participated in this multimethod, single-arm trial. A family advisory board of caregivers (n = 4) and a clinician advisory board of sleep experts, primary care clinicians, and psychologists (n = 13) provided intervention feedback throughout the pilot. Most adaptations were related to intervention delivery methods, with some related to sleep strategies. At postintervention, caregivers completed surveys on intervention acceptability and cultural humility (primary outcomes) and completed semistructured interviews. Caregivers also reported on child sleep pre- and postintervention.

RESULTS

Thirteen (86.6%) families completed Sleep Well! and 12 (80.0%) completed pre- and postintervention measures. Caregivers reported strong intervention acceptability and cultural humility. There were preintervention to postintervention reductions in child sleep problems, bedroom electronics, sleep onset latency, and night awakening frequency and duration. Nighttime sleep duration and overall insufficient sleep also improved. Qualitative data also showed strong intervention acceptability and perceived flexibility, with few participation barriers.

CONCLUSIONS

A brief, early childhood behavioral sleep intervention delivered in primary care with families from primarily lower-socioeconomic status backgrounds and/or racially minoritized backgrounds is feasible to implement, with strong retention rates, acceptability, and perceptions of cultural humility. Child sleep improvements are positive and warrant replication in a randomized controlled trial.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: Implementing Behavioral Sleep Intervention in Urban Primary Care; URL: https://clinicaltrials.gov/ct2/show/NCT04046341; Identifier: NCT04046341.

CITATION

Williamson AA, Okoroji C, Cicalese O, et al. Sleep Well! An adapted behavioral sleep intervention implemented in urban primary care. J Clin Sleep Med. 2022;18(4):1153-1166.

Socioeconomic inequalities in pediatric obstructive sleep apnea

STUDY OBJECTIVES

To examine the association between multiple measures of socioeconomic status (SES) and objectively measured obstructive sleep apnea (OSA) in a Canadian pediatric population.

METHODS

This was a cross-sectional study of 188 children (4-17 years, mean age 9.3 ± 3.5 years) prospectively recruited from two hospital sleep clinics in Canada, using multivariable-adjusted linear and logistic regression of five measures of SES including parental education, income, social class, geographic location, and perceived SES based on the MacArthur Scale of Subjective Social Status, assessed in relation to four polysomnographic OSA variables including apnea-hypopnea index, apnea index, mean oxygen saturation level, and oxygen desaturation index.

RESULTS

Overall, low household-level SES appeared to be associated with both frequency (apnea index ≥ 1 events/h) and severity (apnea-hypopnea index ≥ 5 events/h) of OSA in children, with maternal education showing the most consistent and significant associations. Specifically, children with mothers reporting less than high school education had nearly three times the odds of having OSA after controlling factors including body mass index (odds ratio 2.96 [95% confidence interval, 1.05-8.37]), compared to university-educated participants. Consistent associations were also observed for geographic location with less frequency and severity of OSA among nonurban children. Perceived SES was minimally inversely associated with our outcomes.

CONCLUSIONS

This cross-sectional, multicenter study demonstrated that SES factors are linked to the occurrence and severity of OSA in children. Results indicated the need to incorporate the screening of SES in the diagnostic process of pediatric OSA to provide more targeted intervention and patient-centered care.

CITATION

Park JW, Hamoda MM, Almeida FR, et al. Socioeconomic inequalities in pediatric obstructive sleep apnea. J Clin Sleep Med. 2022;18(2):637-645.

Correlates of a caregiver-reported child sleep problem and variation by community disadvantage

BACKGROUND

Previous studies of sleep patterns and perceived problems in early childhood indicate variation by family socioeconomic status. The purpose of this study was to examine variation in correlates of a caregiver-perceived child sleep problem across and within levels of community disadvantage in a large US sample.

METHODS

Caregivers of 14,980 young children (ages 0-35.9 months) in the US completed the Brief Infant Sleep Questionnaire-Revised (BISQ-R) on the freely and publicly available Johnson's® Bedtime® Baby Sleep App. Zip code was used to identify a Distressed Communities Index (DCI) score, which represents community disadvantage based on neighborhood indicators.

RESULTS

Across all levels of community disadvantage, caregivers who reported greater impact of child sleep on their own sleep, bedtime difficulty, more frequent and longer night wakings, and increased total nighttime sleep were more likely to endorse a child sleep problem. These associations varied by level of community disadvantage. For caregivers living in more disadvantaged communities, impact of child sleep on their own sleep and night wakings were the strongest correlates of endorsing a child sleep problem, whereas for those in more advantaged communities the impact of child sleep on their own sleep and night wakings as well as additional aspects of sleep health, such as short sleep duration, were associated with endorsement of a child sleep problem.

CONCLUSIONS

Findings suggest that families living in more distressed communities are most likely to identify the impact of child sleep on their own sleep and night wakings in reporting a child sleep problem, whereas those from more prosperous communities consider these factors as well as other sleep parameters, including sleep duration. Clinicians should consider expanding screening questions for child sleep problems to include the perceived impact on caregiver sleep.

Daily concordance between ecological stressors and sleep in young minority children during the pre-COVID-19 outbreak period

OBJECTIVE

As the COVID-19 pandemic brings widespread changes in families, the sociology of sleep becomes noticeable. Yet, the socio-contextual determinants of a biopsychosocial phenomenon as sleep are poorly investigated. We examine changes concomitantly occurring in the child's sleep per familial and community stressors.

METHODS

During the pre-COVID-19 outbreak period, in 24 minority children (5.4 ± 1.7 years old, 54.2% girls), sleep was objectively measured 24 h for two consecutive weeks, and this was repeated three times over the study period of three months. The caregiver filled out questionnaires surveying sociodemographic, community and family aspects.

RESULTS

Children went to bed at 22:26 and woke up at 07:04, with each a variability of about 50 min. Money and time were revealed as related key stressors to sleep. Five dimensions best fitted their association. In general, concurrent changes within the individual child indicate that mean sleep variables seem to relate to predominantly features of the stressors (explained variance of 34.7 to 56.7%), while variability of sleep tends to associate to situational aspects of the stressors (explained variance of 30.4 to 61.8%). Associations were best explained in terms of the 24 h dimension, particularly exposing sleep variability.

CONCLUSION

Individual variabilities in a child's sleep are associated with familial resources, such as caregiver's time to self, money and basic needs. Time spent in bed, a modifiable factor by society and shaper of sleep quantity and quality, plays a key role in stressor-sleep associations. Insights from biopsychosocial perspectives may be valuable for understanding COVID-19 sleep studies, and the development of (post-) COVID-19 sleep recommendations.

Nighttime sleep and physical activity in 6-7 month-old infants

This study examined associations between objectively-measured nighttime sleep duration and physical activity in a sample of 6-7 month-old infants (N=93). The study also investigated relationships between infant sleep and demographic and environmental characteristics. Cross-sectional relationships were assessed using linear regression analyses. Nighttime sleep duration was positively associated with physical activity levels. Nighttime sleep duration was greater when infants had a consistent bedtime, slept in a separate room, were male, and had mothers who reported having a college education or greater. These findings can inform the development of interventions that aim to improve infant sleep.

Laurent CW, Spencer RMC. Unhealthy Diet Is Associated With Poor Sleep in Preschool-Aged Children

Unhealthy dietary choices are associated with poor sleep in children through adults. Yet, how diet and sleep are related in early childhood, when diet is reliant on parent choices around food availability, is unknown. The authors aimed to explore how frequency of fruit, vegetable, fast food, and soda consumption are associated with preschool children's sleep quality. They also considered how parenting factors may impact the relationship between children's sleep and diet. Actigraphy data were collected from 383 children 33-70 months old. Caregivers reported on child food and beverage frequency, demographics, and health items. Parenting strategies were assessed using the Parenting Scale. Multiple linear regression was used to examine associations between sleep and dietary measures with socioeconomic status, race-ethnicity, physical activity, and body mass index as covariates. Shorter nap duration was associated with more frequent consumption of fruits and vegetables (B = -3.6, p = .03). Shorter nighttime and 24-hr sleep durations were associated with more frequent consumption of fast food (B = -6.5, p = .01; B = -5.8, p = .01). Shorter nighttime sleep and later sleep onset were associated with more frequent soda consumption (B = -9.2, p = .01; B = 0.23, p = .001). Use of ineffective parenting strategies was negatively associated with fruit and vegetable consumption (r = -.29, p = .01) and positively associated with soda consumption (r = .25, p = .02) but was unrelated to sleep measures. Thus, ineffective parenting strategies may underlie child access to unhealthy foods, which, in turn, contributes to poor sleep. Encouraging healthier dietary habits and educating caregivers on how to reinforce such practices may lead to better sleep outcomes in early childhood.

Longitudinal changes in sleep patterns and circadian rhythm metrics in preschool-age children from Northern Mexico

OBJECTIVES

To assess changes in sleep parameters and circadian rhythm metrics measured by actigraphy in preschool-aged children.

DESIGN

Longitudinal analysis over 1 year.

PARTICIPANTS

Ninety-four children living in Tijuana and Ensenada, Mexico.

MEASUREMENTS

Children wore accelerometers on the right hip for one continuous week at baseline and 1-year follow-up. Parents recorded child bedtime, waketime, and naps in sleep diaries. We used cosinor and nonparametric approaches to calculate circadian rhythm metrics.

RESULTS

At baseline, children had a mean age of 4.2 years, and 51.1% were girls. In multivariable models adjusted for age, gender, BMI category, parental education, household income and city, at follow-up children had significantly earlier waketimes (β = -7.99 minutes, p < .001) compared to baseline. Children also had lower sleep onset latency (β = -2.32 minutes, p = .057), and longer nighttime sleep (β = 9.38 minutes, p = .079), but these changes were not significant at the α < 0.05 level. We found significant increases in log relative amplitude (β = 0.017, p = .009), and decreases in log midline estimated statistic of rhythm (β = -0.084, p = .017) and log of the least active 5-hour period (β = -0.057, p = .010). When we adjusted for co-sleeping, we found significant decreases in the number of nighttime awakenings (β = -1.29, p = .011) but otherwise similar results. There were no other changes in sleep parameters or circadian rhythm metrics.

CONCLUSIONS

Mean increases in nighttime sleep and earlier wake times over one year were concomitant with decreases in overall activity levels and increases in circadian rhythm robustness. Co-sleeping was a predictor of sleep disturbances. This study provides longitudinal evidence regarding changes in sleep and circadian metrics in a sample of children from an under-researched sociodemographic group during an important, early life period.

Measurement of screen time among young children aged 0-6 years: A systematic review

The impact of screen-based devices on children's health and development cannot be properly understood without valid and reliable tools that measure screen time within the evolving digital landscape. This review aimed to summarize characteristics of measurement tools used to assess screen time in young children; evaluate reporting of psychometric properties; and examine time trends related to measurement and reporting of screen time. A systematic review of articles published in English across three databases from January 2009 to April 2020 was undertaken using PROSPERO protocol (registration: CRD42019132599) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Included articles measured screen time as outcome, exposure, or confounder in children 0-6 years. The search identified 35,868 records, 1035 full-text articles were screened for eligibility, and 622 met inclusion criteria. Most measures (60%) consisted of one to three items and assessed duration of screen time on a usual day. Few measures assessed content (11%) or coviewing (7%). Only 40% of articles provided a citation for the measure, and only 69 (11%) reported psychometric properties-reliability n = 58, validity n = 19, reliability and validity n = 8. Between 2009 and 2019, the number of published articles increased from 28 to 71. From 2015, there was a notable increase in the proportion of articles published each year that assessed exposure to mobile devices in addition to television. The increasing number of published articles reflects increasing interest in screen time exposure among young children. Measures of screen time have generally evolved to reflect children's contemporary digital landscape; however, the psychometric properties of measurement tools are rarely reported. There is a need for improved measures and reporting to capture the complexity of children's screen time exposures.

Contextual and Parenting Factors Contribute to Shorter Sleep Among Hispanic/Latinx Compared to Non-Hispanic White Infants

BACKGROUND

Sleep is an important aspect of child development and health. Disparities in childhood sleep have been observed as early as infancy, but little is known about the factors contributing to them.

PURPOSE

The objective of this study was to examine whether intrinsic, contextual, and parenting factors contribute to differences in sleep duration between Hispanic/Latinx and non-Hispanic white infants at 6 months of age.

METHODS

We analyzed data of 119 Hispanic/Latinx and 146 non-Hispanic white infants in Rise & SHINE, a prospective birth cohort study of mother-infant dyads. Mothers reported their infant's sleep patterns using the Brief Infant Sleep Questionnaire at 6 months. Mothers also completed surveys measuring intrinsic (sex, gestational length, and birth weight), contextual (cultural, environmental, and familial), and parenting (behaviors and practices) factors. We used multivariable linear and logistic regression analyses to examine the contributing effects of these clusters of variables on the association between racial/ethnic background and infant sleep duration.

RESULTS

Hispanic/Latinx infants slept 38 min less than white infants at 6 months (β: -0.63 [95% confidence interval: -1.07, -0.19]) and were nearly three times more likely to not meet the minimum sleep recommendation. The differences persisted after adjustment for intrinsic factors but were attenuated after additional adjustment for contextual and parenting factors, especially having a foreign-born mother and later bedtime.

CONCLUSIONS

The results of this study demonstrate that differences in sleep duration among Hispanic/Latinx infants compared to their white counterparts are present as early as 6 months of age and that context and parenting matter.

Cumulative socio-demographic risk factors and sleep outcomes in early childhood

STUDY OBJECTIVES

To examine associations between cumulative socio-demographic risk factors, sleep health habits, and sleep disorder symptoms in young children.

METHODS

Two hundred five caregiver-child dyads (child mean age ± SD: 3.3 ± 1.1 years; 53.7% girls; 62.9% black, 22.4% non-Hispanic/Latinx white, 4.4% Hispanic/Latinx; 85.4% maternal caregiver reporter) completed caregiver-rated sleep measures (Brief Child Sleep Questionnaire [BCSQ]; Pediatric Sleep Questionnaire [PSQ] snoring subscale), which were used to generate indexes of poor sleep health habits, pediatric insomnia symptoms, and obstructive sleep apnea (OSA) symptoms. A cumulative risk index was created reflecting caregiver, family, and neighborhood risks.

RESULTS

Overall, 84.5% of children had ≥ 1 poor sleep health habit, 62.9% had ≥ 1 insomnia symptom, and 40.0% had ≥ 1 OSA symptom. Poisson regression indicated that each increase in the number of cumulative risk factors was associated with a 10% increase in poor sleep health habits, a 9% increase in insomnia symptoms, and an 18% increase in OSA symptoms. Specific caregiver risks (depressive symptoms, lower educational attainment) and family risks (single caregiver, crowded home) were most predictive of poor sleep outcomes.

CONCLUSIONS

Poor sleep health habits and sleep disorder symptoms are highly prevalent in early childhood, particularly among families experiencing cumulative socio-demographic risks. Findings underscore the need for targeted screening and prevention for modifiable sleep behaviors and efforts to tailor such strategies for at-risk children and families, especially those living in crowded conditions, or with caregivers who are single or have a lower educational attainment or depressive symptoms.

Emergence of racial/ethnic and socioeconomic differences in objectively measured sleep-wake patterns in early infancy: results of the Rise & SHINE study

STUDY OBJECTIVES

To characterize objectively assessed sleep-wake patterns in infants at approximately 1 month and 6 months and examine the differences among infants with different racial/ethnic backgrounds and household socioeconomic status (SES).

METHODS

Full-term healthy singletons wore an ankle-placed actigraph at approximately 1 month and 6 months and parents completed sleep diaries. Associations of racial/ethnic and socioeconomic indices with sleep outcomes were examined using multivariable analyses. Covariates included sex, birth weight for gestational age z-score, age at assessment, maternal education, household income, bed-sharing, and breastfeeding.

RESULTS

The sample included 306 infants, of whom 51% were female, 42.5% non-Hispanic white, 32.7% Hispanic, 17.3% Asian, and 7.5% black. Between 1 month and 6 months, night sleep duration increased by 65.7 minutes (95% CI: 55.4, 76.0), night awakenings decreased by 2.2 episodes (2.0, 2.4), and daytime sleep duration decreased by 73.3 minutes (66.4, 80.2). Compared to change in night sleep duration over this development period for white infants (82.3 minutes [66.5, 98.0]), night sleep increased less for Hispanic (48.9 minutes [30.8, 66.9]) and black infants (31.6 minutes [-5.9, 69.1]). Night sleep duration also increased less for infants with lower maternal education and household income. Asian infants had more frequent night awakenings. Adjustment for maternal education and household income attenuated all observed day and night sleep duration differences other than in Asians, where persistently reduced nighttime sleep at 6 months was observed.

CONCLUSIONS

Racial/ethnic differences in sleep emerge in early infancy. Night and 24-hour sleep durations increase less in Hispanic and black infants compared to white infants, with differences largely explained by SES.

Socioeconomic disadvantage and sleep in early childhood: Real-world data from a mobile health application

OBJECTIVES

To examine whether increased socioeconomic disadvantage, indexed using a measure of community distress, was associated with variation in caregiver-reported early childhood sleep patterns and problems in a large US sample using a mobile health application (app).

DESIGN

Cross-sectional.

SETTING

Data were collected using the free, publicly available Johnson's Bedtime© baby sleep app.

PARTICIPANTS

A total of 14,980 caregivers (85.1% mothers) of children ages 6-35.9 months (M = 13.88 months; 52.6% boys) participated in this study.

MEASURES

Caregivers reported on child sleep using the Brief Infant Sleep Questionnaire-Revised. Socioeconomic disadvantage was indexed by zip code using the Distressed Communities Index (DCI), which combines seven US census indicators of socioeconomic disadvantage. DCI scores range from prosperous (lowest quintile) to distressed (highest quintile).

RESULTS

Socioeconomic disadvantage was significantly associated with later bedtimes, longer sleep onset latency, and shorter nighttime and 24-hour (total) sleep duration, with children living in distressed communities showing the poorest sleep. However, caregivers living in distressed communities reported a significantly lower prevalence of overall child sleep problems (43% vs 58% in prosperous communities), and more confidence in managing child sleep (42% vs 34% in prosperous communities).

CONCLUSIONS

Children living in the most distressed communities have the poorest reported sleep patterns and bedtime behaviors; however, their caregivers are less likely to report problematic child sleep. These findings highlight the need for community-level sleep health promotion interventions, as well as further investigation of caregiver perceptions about child sleep and sleep health promotion among families living in socioeconomically disadvantaged contexts.

Early Childhood Sleep Intervention in Urban Primary Care: Caregiver and Clinician Perspectives

BACKGROUND

Despite significant income-related disparities in pediatric sleep, few early childhood sleep interventions have been tailored for or tested with families of lower socio-economic status (SES). This qualitative study assessed caregiver and clinician perspectives to inform adaptation and implementation of evidence-based behavioral sleep interventions in urban primary care with families who are predominantly of lower SES.

METHODS

Semi-structured interviews were conducted with (a) 23 caregivers (96% mothers; 83% Black; 65% ≤125% U.S. poverty level) of toddlers and preschoolers with insomnia or insufficient sleep and (b) 22 urban primary care clinicians (physicians, nurse practitioners, social workers, and psychologists; 87% female; 73% White). Guided by the Consolidated Framework for Implementation Research, the interview guide assessed multilevel factors across five domains related to intervention implementation. Qualitative data were analyzed using an integrated approach to identify thematic patterns across participants and domains.

RESULTS

Patterns of convergence and divergence in stakeholder perspectives emerged across themes. Participants agreed upon the importance of child sleep and intervention barriers (family work schedules; household and neighborhood factors). Perspectives aligned on intervention (flexibility; collaborative and empowering care) and implementation (caregiver-to-caregiver support and use of technology) facilitators. Clinicians identified many family barriers to treatment engagement, but caregivers perceived few barriers. Clinicians also raised healthcare setting factors that could support (integrated care) or hinder (space and resources) implementation.

CONCLUSIONS

Findings point to adaptations to evidence-based early childhood sleep intervention that may be necessary for effective implementation in urban primary care. Such adaptations could potentially reduce significant pediatric sleep-related health disparities.

Socioeconomic status and sleep disturbances among pediatric population: a continental systematic review of empirical research

To this day, no consensus has been established on the definition and the conceptualization of the socioeconomic status (SES), since all the available studies on the relation between SES and health did not use the same conceptual framework and operationalization to assess SES. While literature reported that SES markers (such as income, social support networks, education, employment or occupation) influence the health of populations by shaping living conditions; empirical research does not tell us which SES markers affect more strongly the sleep components of the individuals, as well as which sleep disorders (SD) are affected and how. Even though several original studies have tried to assess how changes in socioeconomic status of parents may affect the psychosocial environment and mental health of an individual directly or through his community, no systematic reviews on the influence of SES on children's sleep are available. This systematic review make an update on the different measures of SES and sleep disturbances used for pediatric population across the different regions of the world. Recommendations for a future standardization of SES measures is proposed, for a better understanding of its influence on sleep disturbances.

Sleep problem screening of young children by speech-language pathologists: A mixed-methods feasibility study

Background & Aims

Poor sleep in young children imperils language learning and use. Both sleep and language problems are prevalent in early childhood. Speech-language pathologists are in a unique position to expand surveillance of sleep problems, which in turn may contribute to communication difficulties. We conducted a feasibility study of speech-language pathologist screening for behavioral sleep problems and sleep-disordered breathing symptoms at a multidisciplinary evaluation and treatment center.

Methods

Speech-language pathologists administered screeners to parents of 2-6-year-olds: the Short Form-Children's Sleep Habits Questionnaire (for behavioral sleep problems) which includes an item asking if the child has a sleep problem (yes/no), and the pediatric sleep questionnaire (for sleep-disordered breathing). Speech-language pathologists participated in pre- and post-screening focus groups. Pre-screening topics included professional preparation and clinical experience regarding pediatric sleep issues. Post-screening, speech-language pathologists provided feedback about the screening experience and feasibility of incorporating such screening into practice.

Results

Among 51 children, 31% (16/51) screened positive for sleep-disordered breathing, 78% for behavioral sleep problems (40/51), and 43% (12/28) per parent report. Parent-reported problems were associated with sleep-disordered breathing (p = 0.00) but not behavioral sleep problems (p = 0.24). During focus groups, speech-language pathologists reported no formal pediatric sleep training, high parent concern about sleep, and agreed that screening fit their professional mandate. Speech-language pathologists affirmed that the ≤15 min screenings integrated seamlessly into practice but that additional training, particularly for sleep-disordered breathing, was needed.

Conclusions

The prevalence of sleep problems in 2-6-year-olds presenting to speech-language pathologists was higher than in community samples, but consistent with data from young children with developmental disabilities. Speech-language pathologists endorsed the utility and feasibility of sleep problem screening and education in their clinical practice.

Implications

Integrating sleep problem screening and education into speech-language pathologist practice is feasible and could widen surveillance of both sleep problems and risk factors for developmental language disorders. Further research should include larger samples and other settings, e.g. home or school.

Disparities in Sleep Health and Potential Intervention Models: A Focused Review

Disparities in sleep health are important but underrecognized contributors to health disparities. Understanding the factors contributing to sleep heath disparities and developing effective interventions are critical to improving all aspects of heath. Sleep heath disparities are impacted by socioeconomic status, racism, discrimination, neighborhood segregation, geography, social patterns, and access to health care as well as by cultural beliefs, necessitating a cultural appropriateness component in any intervention devised for reducing sleep health disparities. Pediatric sleep disparities require innovative and urgent intervention to establish a foundation of lifelong healthy sleep. Tapping the vast potential of technology in improving sleep health access may be an underutilized tool to reduce sleep heath disparities. Identifying, implementing, replicating, and disseminating successful interventions to address sleep disparities have the potential to reduce overall disparities in health and quality of life.

Screen media use and sleep disturbance symptom severity in children

OBJECTIVES

Few studies have sought to evaluate how screen media use relates to symptoms of sleep-wake disturbances. To extend these prior studies in a large sample of children, this study examined associations of different types of screen media with symptom severity of different classes of sleep-wake disturbances. This study was preregistered here.

DESIGN

This study utilized the baseline cross-sectional survey administered within the Adolescent Brain Cognitive Development Study (ABCD; Release 2.0).

PARTICIPANTS

ABCD recruited over 11,000 U.S. children age 9-10 across 21 study sites using an epidemiologically-informed school-based recruitment strategy.

MEASUREMENTS

Children reported typical weekend and weekday use of TV, video, video game, social media, texting, and video chat, and parents completed reports of the child's symptom severity of sleep-wake disturbances via the Sleep Disturbance Scale for Children.

RESULTS

Greater screen media use, TV, video, and video game use, was associated with decreased sleep duration, increased sleep onset latency as well as greater excessive sleepiness, insomnia, and overall sleep disturbance symptom severity. Use of these screen medias were also associated with clinically relevant sleep problems. Ethnoracial differences emerged in screen use and sleep, but did not moderate the association between screen use and sleep.

CONCLUSIONS

Greater use of screen medias was not just associated with longer sleep onset latency and shorter sleep duration, but also increased severity of multiple types of sleep-wake disturbances. Future research should use longitudinal designs to determine the direction of these associations in adolescent populations.

Demographic and Socioeconomic Influences on Sleep Patterns among Adolescent Students

Although proper sleep is an important topic in adolescent health, little is known about the sleep patterns of adolescents from a longitudinal and non-Western perspective. To fill this gap, the present research conducted a longitudinal study of the impact of demographic and socioeconomic factors on sleep patterns among Korean adolescent students. The relationship could positively or negatively affect sleep. Therefore, it is important to understand which demographic and socioeconomic factors are related to sleep patterns. This study used nationally representative panel data from the Korean Children and Youth Panel Survey. A series of descriptive analyses were conducted to provide overall characteristics of the sample. Furthermore, mixed effect regression analysis techniques were employed to test the relationship between demographic and socioeconomic factors and sleep patterns. Paternal employment status was associated with adolescent sleep patterns, while maternal employment status was not. Adolescents with both parents working compared to adolescents with one parent or none working showed different sleep patterns on weekdays but not on weekends. Both parents possessing college degrees, household income, living in an urban area, and family type were associated with adolescent sleep pattern indicators to varying degrees. Some of these associations varied according to adolescent sex. This study provides insight into the impact of demographic and socioeconomic factors on weekend and weekday sleep patterns among adolescent students by sex. These findings provide information for the promotion of healthy sleep in adolescents by addressing demographic and socioeconomic factors.

Potential determinants during 'the first 1000 days of life' of sleep problems in school-aged children

STUDY OBJECTIVES

Early life determinants of sleep problems are mostly unknown. The first 1000 days of life (ie, the time between conception and a child's second birthday) is a period where the foundations for optimum health, growth and neurodevelopment are established. The aim of this explorative study is to identify potential early life determinants of sleep problems at age 7-8 years.

METHODS

Data from the Amsterdam Born Children and their Development cohort study (n = 2746) were analyzed. Sleep problems at age 7-8 years were reported by the caregiver in the 'Child Sleep Habits Questionnaire'. A higher total score indicates more sleep problems. After multiple imputation (n = 20), we studied multivariable associations between all potential determinants and sleep problems using regression analysis.

RESULTS

A higher pre-pregnancy body mass index (BMI) was associated with more sleep problems at age 7-8 years [β 0.12 (95% CI 0.05, 0.18)]. Children of mothers with symptoms of anxiety during pregnancy [β 0.06 (95% CI 0.03, 0.09)] and infancy period [β 0.04 (95% CI 0.00, 0.07)] had more sleep problems. Children of mothers drinking ≥1 glass of alcohol a day around 14 weeks of gestation had a 2 points higher sleep problem score [β 2.55 (95% CI 0.21, 4.89)] and children of mothers smoking ≥1 cigarette per day in that period had a one point higher score [β 1.07 (95% CI 0.10, 2.03)]. Infants with relative weight loss (delta BMI-SD) had a higher sleep problem score during childhood [β -0.32 (95%CI -0.60, -0.04)].

CONCLUSIONS

We identified several potential determinants during pregnancy and infancy associated with childhood sleeping problems. We encourage further research into these and other potential determinants to replicate results and to identify underlying mechanisms.

Sleep habits and sleep characteristics at age one year in the ELFE birth cohort study

OBJECTIVE

Infant sleep plays a critical role in normal development. Sleep problems, including sleep onset difficulties (SODs) and night waking (NW), range from 20% to 30% in infants and young children and can be persistent over time up to adulthood. Young French children seem to have longer sleep durations and less sleep troubles than their counterparts worldwide. Here, we aimed at describing infant sleep characteristics (total sleep time (TST)/24 h, NW, and SODs) and associated sleep habits in infants at age one year from the French nationwide birth cohort Etude Longitudinale Française depuis l'Enfance (ELFE).

METHODS

This study included 11,783 infants with information on both sleep characteristics and sleep habits (parental presence when falling asleep, eating to fall asleep, sucking a pacifier or finger to sleep and sleep arrangement and location). Associations were studied by multinomial logistic regression analyses adjusted for familial and infant characteristics.

RESULTS

Mean TST was 13 h36 min including 2 h54 min of naps; 20% of the infants had TST ≤12 h/24 h. About 46% did not present SOD or NW, 16% had frequent SODs and 22% had NW > 1 night in 2. Parental presence, feeding to fall asleep and infant sleep arrangements were frequent in infants with short sleep duration (≤12 h/24 h), NW and SODs. Non-nutritive sucking was associated with risk of NW, SOD and TST >14 h/24 h. Parental room sharing was associated with NW.

CONCLUSION

This work provides new information on infant sleep arrangements and non-nutritive sucking that should be accounted for when considering sleep behaviors. In addition, most identified sleep habits associated with poor sleep characteristics may be amenable to change.

Sociodemographic Differences in Young Children Meeting 24-Hour Movement Guidelines

BACKGROUND

Little is known about variation in meeting the 24-Hour Movement Guidelines (including physical activity [PA], sleep, and screen time [ST]) in early childhood. The aim was to evaluate sociodemographic differences in meeting the 24-Hour Movement Guidelines.

METHODS

Parents of 3-4 year old children reported sociodemographic information and ST. Sleep and PA were measured using accelerometry, and height and weight were objectively measured. The 24-Hour Movement Guidelines include daily PA (total PA: ≥3 h; including ≥1 h of moderate to vigorous), sleep (10-13 h), and ST (≤1 h). Meeting guidelines by age, sex, race, poverty level, and weight status were assessed using chi-square and linear regression models.

RESULTS

Of 107 children, 57% were white and 26% lived in households at or below the poverty level. Most children met the PA (91.5%) and sleep (86.9%) guidelines, but few met ST (14.0%) or all 3 (11.3%) guidelines. African American children and children who lived at or below the poverty level were less likely to meet the sleep, ST, and all 3 guidelines compared with others (P < .01 for all). There were no other differences.

CONCLUSION

These results suggest future interventions should focus on reducing differences in movement, namely in sleep and ST.

Cross-cultural disparities of subjective sleep parameters and their age-related trends over the first three years of human life: A systematic review and meta-analysis

Changes in nighttime sleep consolidation and daytime discontinuation have been observed in early life. Yet information about societal or cultural factors remains scant for implementing sleep recommendations. We aimed to provide pooled estimates of subjective sleep duration, number of nightwakings and sleep timing; to describe their age-related trends; and to determine potential cross-cultural disparities between predominantly-Asian (PA) and predominantly-Caucasian (PC) regions during the first three years of life. We performed this review according to the PRISMA guidelines. Overall, 102 studies with 167,886 children aged 0-3 y from 26 different countries/regions were included. Compared to PC regions, PA toddlers had shorter sleep duration and more frequent nightwakings. When PC regions were further divided into Pacific Rim and Europe, differences were much more evident between PA and Pacific Rim for all nighttime sleep parameters. Trends of nighttime sleep duration and bedtime for PC regions showed rapid changes over the first 3-6 mo before stabilizing to a plateau, whereas a different change was found for PA regions. In conclusion, an apparent cross-cultural disparity of the subjective sleep parameters already exists in early childhood. Improved operationalization of sleep parameters and more objective evidence are needed to establish cultural-sensitive recommendations this early in life.

"We're doing the best job we can": maternal experiences of facilitators and barriers to preschoolers sleeping well in Aotearoa/New Zealand

OBJECTIVES

This study considered sleep from a social determinants of health and socioecological perspective. It aimed to explore facilitators and barriers to 4-year-old children sleeping well, as experienced by Māori and non-Māori mothers, with low and high socioeconomic position (SEP), in Aotearoa/New Zealand.

DESIGN

Experiential qualitative research involving face-to-face, semistructured individual interviews.

PARTICIPANTS

Fifteen Māori (low SEP = 7; high SEP = 8) and 16 non-Māori (low SEP = 7; high SEP = 9) mothers of preschoolers.

MEASUREMENTS

Interviews were guided by questions about how preschoolers slept and what mothers thought made a difference to their child's sleep. Data were analyzed inductively using thematic analysis.

RESULTS

Four themes were identified: "health, activity, and diet"; "sleep-promoting physical environments"; "consistency"; and "doing it our way." Children being healthy and active, sleep-conducive bedroom spaces, consistent routines, and supportive social environments assisted preschoolers to sleep well. However, broader contextual factors beyond mothers' control influenced the degree of autonomy they had over implementing sleep-supporting strategies that worked for their families. External influences included access to financial resources; parental work patterns; early childhood education service practices; access to quality housing; and affordable, culturally responsive, and respectful professional sleep advice.

CONCLUSION

Efforts aimed at facilitating healthy sleep among preschoolers and effective preschooler sleep interventions must go beyond simply recommending individual-focused sleep-promoting tips to include actions on the social determinants of sleep and the sociopolitical drivers that influence these.

Emergence of racial/ethnic differences in infant sleep duration in the first six months of life

Objective

Examine the emergence of differences in sleep duration between infants from different racial/ethnic backgrounds and extent to which differences are explained by socioeconomic status (SES) and sleep continuity.

Methods

Sleep duration and continuity (number of night wakings and longest nighttime stretch of sleep) were assessed for 394 infants in the Rise & Sleep Health in Infancy & Early Childhood (SHINE) birth cohort at one- and six-months using the Brief Infant Sleep Questionnaire (BISQ). Multivariable regression was used to estimate associations of race/ethnicity with sleep duration adjusting for individual-level covariates, SES, and sleep continuity.

Results

The sample was 40% non-Hispanic white, 33% Hispanic, 11% Black, and 15% Asian. Mean (SD) durations for daytime, nighttime, and total sleep at one-month were 6.3 (2.0), 8.9 (1.5), and 15.2 (2.7) hours, respectively. Corresponding durations at six-months were 3.0 (1.4), 9.9 (1.3), and 13.0 (1.9) hours. At one-month, Hispanic infants had shorter nighttime sleep than white infants [β: −0.44 h (95% CI: −0.80, −0.08)]. At six-months, Hispanic [β: −0.96 h (−1.28, −0.63)] and Black [β: −0.60 h (−1.07, −0.12)] infants had shorter nighttime sleep than white infants. The near 1-h differential in night sleep among Hispanics resulted in shorter total sleep [β: −0.66 h (−1.16, −0.15)]. Associations across all racial/ethnic groups were attenuated after adjustment for SES at one- and six months. Sleep continuity attenuated associations with nighttime and total sleep duration by 20–60% for Hispanic infants at six-months.

Conclusions

Differences in sleep duration emerge early in life among racial/ethnic groups and are in part explained by SES and sleep continuity.

•

At one-month, Hispanic infants slept significantly less at night than white infants.

•

At six-months, Hispanic and Black infants slept less at night than white infants.

•

The near 1-h differential among Hispanics resulted in shorter total sleep.

•

Adjusting for SES attenuated associations across all racial/ethnic groups.

•

Sleep continuity attenuated associations for Hispanic infants at six-months.

Sleep matters: The association of race, bedtime, outdoor time, and physical activity with preschoolers' sleep

Sleep is necessary for optimal functioning. Little is known about the extent to which race and opportunities to be active influence sleep in preschool-aged children attending full-day child care. Participants (n = 359) in this cross-sectional study attended 30 randomly selected, childcare centers in Cincinnati, OH. Data collection occurred from November 2009 to January 2011. Hierarchical linear regression and generalized estimating equations tested for associations between nighttime sleep duration and race, outdoor/indoor active time, actual physical activity (PA), screen time, daytime nap, and bedtime after 9 pm. Participants slept a mean ± SD of 1.5 ± 0.8 h at childcare and 9.7 ± 1.0 h at bedtime. White children (β = 0.57 ± 0.14, p < 0.01) and children identifying as Other race (β = 0.40 ± 0.15, p < 0.01) slept more hours than Black children at nighttime. White children were less likely to nap at childcare than Black children. Inside PA time provided was associated with increased nighttime sleep duration (β = 0.092 ± 0.04 h per 30 min PA, p < 0.03). There was no association between outdoor time or moderate to vigorous PA and nighttime sleep. Black children slept less at night on average, but were more likely to engage in nap sleep at childcare resulting in similar overall sleep duration. Additional studies in diverse populations that explore the effects of nighttime versus nap time sleep on child health and well-being are needed.