Historical neighborhood poverty trajectories and child sleep

Changes in actigraphy-assessed sleep from childhood to adolescence: The role of neighborhood socioeconomic disadvantage

OBJECTIVES

Few studies have examined longitudinal effects of neighborhood socioeconomic disadvantage on objectively assessed sleep outcomes among youth. This study examined neighborhood disadvantage as a predictor of changes in actigraphy-assessed sleep over a 6-8-year period from childhood to adolescence. Racial/ethnic differences in effects were also considered.

METHODS

Participants were 339 children residing in small towns and semirural contexts within the Southeastern region of the United States (Mage T1 = 10.3years, SD = 0.8; 46% female; 36% Black, 64% White; Mage T2 = 17.6years, SD = 0.8). Sleep duration (from onset to wake time) and quality/continuity (efficiency and long wake episodes) were assessed using wrist actigraphy. Neighborhood disadvantage was assessed from established census tract measures geocoded to childhood residential addresses.

RESULTS

Sleep duration decreased between childhood and adolescence and sleep quality/continuity increased. Neighborhood disadvantage was associated with decreases in sleep quality/continuity from childhood to adolescence, but was not associated with sleep duration. Neighborhood effects remained significant after adjusting for family socioeconomic status. Interaction effects between neighborhood disadvantage and race indicated that the magnitude of neighborhood effects on changes in sleep quality/continuity were larger for Black youth than for White youth.

CONCLUSIONS

This study is the first to show that objectively assessed neighborhood disadvantage is associated with longitudinal changes in actigraphy-assessed sleep quality from childhood to adolescence, and that this association was larger for Black youth than for White youth. The results suggest that neighborhood factors may be key to addressing widening racial disparities in sleep across this developmental period.

Using the Person-Based Approach to Co-Create and Optimize an App-Based Intervention to Support Better Sleep for Adolescents in the United Kingdom: Mixed Methods Study

BACKGROUND

Poor sleep is a common problem in adolescents aged 14 to 18 years. Difficulties with sleep have been found to have a bidirectional link to mental health problems.

OBJECTIVE

This new research sought to involve young people in the co-creation of a new app, particularly those from underserved communities. The Sleep Solved app uses science-based advice to improve sleep-related behaviors and well-being. The app was developed using the person-based approach, underpinned by the social cognitive theory and the social-ecological model of sleep health.

METHODS

Young people (aged 14-18 y) were recruited from across the United Kingdom to contribute to patient and public involvement (PPI) activities. In partnership with our peer researcher (MHJ), we used a multitude of methods to engage with PPI contributors, including web-based workshops, surveys, think-aloud interviews, focus groups, and app beta testing.

RESULTS

A total of 85 young people provided PPI feedback: 54 (64%) young women, 27 (32%) young men, 2 (2%) genderfluid people, 1 (1%) nonbinary person, and 1 (1%) who reported "prefer not to say." Their levels of deprivation ranged from among the 40% most deprived to the 20% least deprived areas. Most had self-identified sleep problems, ranging from 2 to 3 times per week to >4 times per week. Attitudes toward the app were positive, with praise for its usability and use of science-based yet accessible information. Think-aloud interviews and a focus group identified a range of elements that may influence the use of the app, including the need to pay attention to language choices and readability. User experiences in the form of narrated audio clips were used to normalize sleep problems and provide examples of how the app had helped these users.

CONCLUSIONS

Young people were interested in using an app to better support their sleep and mental health. The app was co-created with strong links to theory- and evidence-based sleep hygiene behaviors. Future work to establish the effectiveness of the intervention, perhaps in a randomized controlled trial, would provide support for potential UK-wide rollout.

Family resilience mediates exposure to adverse childhood experiences on insufficient sleep among children: findings from a population-based study

Background

Sleep plays a vital role in the well-being of children and adolescents. Researchers have identified adverse childhood experiences (ACEs) as an important factor associated with poor sleep among adolescents. The objective of this study was to examine the mediating role of family resilience on the association between ACEs and insufficient sleep among adolescents in the United States.

Methods

Data for this study came from the 2018-2019 National Survey of Children's Health (N = 28,097). The outcome variable in this study was insufficient sleep, and the main explanatory variable was exposure to ACEs. The mediating variable was family resilience. Data were analyzed using binary logistic regression.

Results

Based on parent reports, one in five (22.4%) adolescents did not meet the recommended sleep hours on an average night. About half of the adolescents had no ACEs, 24.2% had one ACE, and 14.6% had three or more ACEs. Controlling for the effect of other factors and family resilience, the odds of having insufficient sleep were 1.63 times higher for children exposed to three or more ACEs (AOR = 1.63, 95% CI = 1.30-2.05). Family resilience partially mediates the association between exposure to ACEs and insufficient sleep. Each additional increase in family resilience decreased the odds of having insufficient sleep by a factor of 12% (AOR = 0.88, 95% CI = 0.86-0.91).

Conclusions

Family resilience partially mediated exposure to ACEs on insufficient sleep. There are modifiable factors that may improve sleep outcomes among adolescents who have been exposed to adversity. Future research can help elucidate findings and establish the directionality of this association.

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.

Neighborhood and Household Environment as Contributors to Racial Disparities in Sleep Duration among U.S. Adolescents

Objective

Racial disparities in adolescent sleep duration have been documented, but pathways driving these disparities are not well understood. This study examined whether neighborhood and household environments explained racial disparities in adolescent sleep duration.

Methods

Participants came from Waves I and II of Add Health (n=13,019). Self-reported short sleep duration was defined as less than the recommended amount for age (<9 hours for 6-12 years, <8 hours for 13-18 years, and <7 hours for 18-64 years). Neighborhood factors included neighborhood socioeconomic disadvantage, perceived safety and social cohesion. Household factors included living in a single parent household and household socioeconomic status (HSES). Structural equation modeling was used to assess mediation of the neighborhood and household environment in the association between race/ethnicity and short sleep duration.

Results

Only HSES mediated racial disparities, explaining non-Hispanic (NH) African American-NH White (11.6%), NH American Indian-NH White (9.9%), and Latinx-NH White (42.4%) differences. Unexpectedly, higher HSES was positively associated with short sleep duration.

Conclusion

Household SES may be an important pathway explaining racial disparities in adolescent sleep duration. Future studies should examine mechanisms linking household SES to sleep and identify buffers for racial/ethnic minority adolescents against the detrimental impacts that living in a higher household SES may have on sleep.

Sociodemographic, temporal and bedtime routine correlates of sleep timing and duration in South Asian and white children: A Born in Bradford study

Objective

The study aimed to examine sociodemographic, temporal and bedtime routine correlates of parent-reported sleep duration and timing in a biethnic sample of 18 month and 36 month old children from a disadvantaged location.

Methods

Between October 2010 and September 2012, parents completed a bespoke three day sleep diary when their child was approximately 18 months (n = 276) and 36 months of age (n = 262) (45.1% South Asian; 54.9% white). Parents reported their child's overnight sleep duration (h/day), the time their child fell asleep, their wake time and their child's bedtime and napping routines. Data were available at both time points for 135 children.

Results

In line with previous literature, South Asian children had shorter overnight sleep duration and later sleep and wake times than white children. In both ethnic groups, children slept and woke up later on weekends, and children went to bed earlier and slept longer in winter. In white children only, napping duration was associated with overnight sleep period. No significant associations were found between napping frequency and overnight sleep duration. Based on parent-reported data, children who consistently adhered to regular bedtimes and had set times for sleeping tended to go to sleep earlier, wake earlier and have longer overnight sleep.

Conclusions

The data showed parent-reported variation in sleep patterns between two ethnic groups within a single geographical and deprived area. It is important that researchers, clinicians and early years workers are considerate of cultural norms in sleep practices.

The Price of Growing Up in a Low-Income Neighborhood: A Scoping Review of Associated Depressive Symptoms and Other Mood Disorders among Children and Adolescents

Neighborhoods, as built and social environments, have significant implications for mental health. Children raised in high-poverty neighborhoods, who are disproportionately Black, Indigenous, and people of color, have a greater risk of adverse life outcomes. Neighborhood gentrification is also salient when examining mental health outcomes as neighborhood economic contexts shift around a child. This review scopes, describes, synthesizes, and critiques the existing literature on the relationship between neighborhood poverty/gentrification and mood disorder symptoms among children ages 3-17 in the United States (U.S.). Given the history of structural racism in the creation of U.S. neighborhoods, inclusion criteria required that study samples be racially diverse. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for scoping reviews, seven databases and grey literature were searched; 17 studies were included (total n = 122,089). Fourteen studies found significant associations between neighborhood poverty/gentrification and child depression. Three longitudinal studies found significant results suggesting that childhood neighborhood poverty/gentrification may have a lagged effect, with depression emerging later in life. Neighborhood poverty and gentrification require further examination as social determinants of mental health. Researchers should examine neighborhood poverty and gentrification as social determinants of mental health. Policies that reduce neighborhood economic disparities are needed across the U.S.

The neighborhood environment and sleep health in adolescents

OBJECTIVE

Neighborhood-level factors, including education, health and environment, and socioeconomic exposures, are important contextual determinants of child health. We explored whether these factors, measured via the Childhood Opportunity Index 2.0, were associated with sleep health in adolescents.

METHODS

Actigraphy was used to assess sleep duration, timing, and efficiency among 110 adolescents in eighth (13.9 (0.4)) and ninth (14.9 (0.4)) grade. Home addresses were geocoded and linked to Childhood Opportunity Index 2.0 scores (including 3 subtype scores and the 29 individual factor Z-scores). Mixed-effects linear regression was used to determine associations between the Childhood Opportunity Index 2.0 scores and the sleep outcomes, adjusting for sex, race, parent education, household income, school grade and weeknight status. Interactions were also tested by school grade, weeknight status, sex, and race.

RESULTS

No associations were observed between overall or subtype scores with sleep outcomes in adolescents. However, we detected associations between select individual Childhood Opportunity Index 2.0 Z-scores, spanning health & environment and education domains, and sleep outcomes. For example, greater fine particulate matter was associated with later timing of sleep onset and offset; ozone concentration was associated with earlier sleep onset and offset; greater exposure to extreme temperature was associated with later sleep onset and offset and increased odds of optimal sleep efficiency.

CONCLUSIONS

Specific neighborhood factors indexed by the Childhood Opportunity Index 2.0 were associated with sleep health among adolescents. In particular, neighborhood air quality measures were associated with sleep timing and efficiency, warranting further investigation.

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.

Exposure to neighborhood poverty from adolescence through emerging adulthood and sleep duration in US adults

Does exposure to neighborhood poverty from adolescence to early adulthood have differential influence on sleep duration across racial/ethnic groups? We used data from the National Longitudinal Study of Adolescent to Adult Health that consisted of 6756 Non-Hispanic (NH) White respondents, 2471 NH Black respondents, and 2000 Hispanic respondents and multinomial logistic models to predict respondent reported sleep duration based on exposure to neighborhood poverty during adolescence and adulthood. Results indicated that neighborhood poverty exposure was related to short sleep duration among NH White respondents only. We discuss these results in relation to coping, resilience, and White psychology.

Nighttime sleep duration and variability in children with obstructive sleep apnea syndrome: Sociodemographic disparities and neurobehavioral outcomes

OBJECTIVES

This study examined differences in sleep patterns by race, ethnicity, and socioeconomic status (SES) among children with Obstructive Sleep Apnea Syndrome (OSAS), and linkages between sleep patterns and neurobehavioral functioning.

METHOD

We used baseline data from the Childhood Adenotonsillectomy Study (CHAT), a multicenter, single-blind, randomized controlled trial designed to evaluate the efficacy of early adenotonsillectomy versus watchful waiting with supportive care for children with OSAS. Participants included children with OSAS (ages 5.0-9.9 years). SES indicators were obtained via questionnaire and geocoding (ArcGIS version 10.1). Caregivers and teachers reported on child inattention/impulsivity and executive functioning. Nighttime sleep duration and variability were measured using five-night sleep diaries.

RESULTS

Black children experienced shorter nighttime sleep duration than White children, by about 25 min, as well as greater sleep duration variability, while sleep duration was more variable in children of "other" racial and ethnic backgrounds versus White children. Of the socioeconomic correlates, only lower family income was associated with sleep duration variability. A short and more variable nighttime sleep duration were each associated with caregiver-rated child inattention and impulsivity. Greater sleep duration variability was linked to greater teacher-rated, but not caregiver-rated, executive functioning impairments.

CONCLUSIONS

Compared to White children with OSAS, Black children with OSAS experience a shorter and more variable nighttime sleep duration. Having a short and/or variable sleep duration may increase risk for neurobehavioral impairments in youth with OSAS, underscoring the potential benefits of sleep health promotion in the context of OSAS care.

Examining the interactive association of family- and neighborhood-level socio-economic characteristics on children's sleep beyond the associations of residency and neighborhood violence

OBJECTIVE

To examine the interactive association of neighborhood and family socio-economic characteristics (SEC) on children's sleep.

DESIGN

Secondary data analyses were completed on the 2014 Ontario Child Health Study, a cross-sectional sample of 10,802 children aged 4-17.

PARTICIPANTS

Children (aged 4-11, 50% male; N = 6264) with available sleep outcome data.

METHODS

Multilevel modeling was used to assess the interactive relationship between family- and neighborhood-level poverty in relation to child sleep outcomes (problems falling asleep, problems staying asleep, weekday and weekend time in bed), above the associations of variables known to be related to sleep at the child (ie, child age, sex, internalizing problems, externalizing problems, chronic illness), family (ie, negative parenting behaviors, family structure, parent mental health, years lived in neighborhood, parent education level), and neighborhood levels (ie, neighborhood size, antisocial behavior).

RESULTS

Neighborhood poverty (p < .01, ß = -0.001, 95% confidence interval [-0.007, -0.002]) was significantly related to shorter weekday time in bed and the interactive association of family and neighborhood poverty was significantly related to weekend time in bed (p < .05, ß = 0.012, 95% confidence interval [0.004, 0.021]). Children living in low poverty neighborhoods with families of higher SEC backgrounds, and children living in high poverty neighborhoods with families of lower SEC backgrounds had the shortest weekend time in bed (9.7 hours).

CONCLUSIONS

There is a compound relationship of family and neighborhood poverty on children's sleep above and beyond family- and child-level risk factors.

Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix

Type 2 Diabetes (T2D) has reached epidemic levels among the pediatric population. Furthermore, disparities in T2D among youth are distributed in a manner that reflects the social inequality between population sub-groups. Here, we investigated the neighborhood determinants of T2D risk among a sample of Latino adolescents with obesity residing in Phoenix, Arizona (n = 133). In doing so we linked together four separate contextual data sources: the American Community Survey, the United States Department of Agriculture Food Access Research Atlas, the Arizona Healthy Community Map, and the National Neighborhood Data Archive to systematically analyze how and which neighborhood characteristics were associated with T2D risk factors as measured by fasting and 2-h glucose following a 75 g oral glucose tolerance test. Using linear regression models with and without individual/household covariates, we investigated how twenty-two housing and transportation sociodemographic and built and food environment characteristics were independently and jointly associated with T2D risk. The main finding from these analyses was the strong association between the density of fast food restaurants and 2-h glucose values (b = 2.42, p < 0.01). This association was independent of individual, household, and other neighborhood characteristics. Our results contribute to an increasingly robust literature demonstrating the deleterious influence of the neighborhood food environment, especially fast food, for T2D risk among Latino youth.

Characterizing sleep-wake patterns in mothers and children in an agrarian community: results from the Ghana Randomized Air Pollution and Health Study

STUDY OBJECTIVES

Several studies have examined sleep patterns in rural/indigenous communities, however little is known about sleep characteristics in women of reproductive age, and children within these populations. We investigate sleep-wake patterns in mothers and children (ages 3-5 years) leveraging data from the Ghana Randomized Air Pollution and Health Study (GRAPHS).

METHODS

The GRAPHS cohort comprises of rural/agrarian communities in Ghana and collected multiday actigraphy in a subset of women and children to assess objective sleep-wake patterns. Data were scored using the Cole-Kripke and Sadeh algorithms for mothers/children. We report descriptive, baseline characteristics and objective sleep measures, compared by access to electricity/poverty status.

RESULTS

We analyzed data for 58 mothers (mean age 33 ± 6.6) and 64 children (mean age 4 ± 0.4). For mothers, mean bedtime was 9:40 pm ± 56 min, risetime 5:46 am ± 40 min, and total sleep time (TST) was 6.3 h ± 46 min. For children, median bedtime was 8:07 pm (interquartile range [IQR]: 7:50,8:43), risetime 6:09 am (IQR: 5:50,6:37), and mean 24-h TST 10.44 h ± 78 min. Children with access to electricity had a reduced TST compared to those without electricity (p = 0.02). Mean bedtime was later for both mothers (p = 0.05) and children (p = 0.08) classified as poor.

CONCLUSIONS

Mothers in our cohort demonstrated a shorter TST, and earlier bed/risetimes compared to adults in postindustrialized nations. In contrast, children had a higher TST compared to children in postindustrialized nations, also with earlier sleep-onset and offset times. Investigating objective sleep-wake patterns in rural/indigenous communities can highlight important differences in sleep health related to sex, race/ethnicity, and socioeconomic status, and help estimate the impact of industrialization on sleep in developed countries.

Does Where You Live Predict What You Say? Associations between Neighborhood Factors, Child Sleep, and Language Development

Language ability is strongly related to important child developmental outcomes. Family-level socioeconomic status influences child language ability; it is unclear if, and through which mechanisms, neighborhood-level factors impact child language. The current study investigated the association between neighborhood factors (deprivation and disorder) assessed before birth and child language outcomes at age 5, with sleep duration as a potential underlying pathway. Secondary analysis was conducted on data collected between 2008 and 2018 on a subsample of 2444 participants from the All Our Families cohort study (Calgary, Canada) for whom neighborhood information from pregnancy could be geocoded. Neighborhood deprivation was determined using the Vancouver Area Neighborhood Deprivation Index (VANDIX), and disorder was assessed using crime reports. Mothers reported on their children’s sleep duration and language ability. Multilevel modeling indicated that greater neighborhood deprivation and disorder during pregnancy were predictive of lower scores on the Child Communication Checklist–2 (CCC–2) at 5 years. Path analyses revealed an indirect effect of neighborhood disorder on language through child sleep duration at 12 months. These results add to growing evidence that child development should be considered within the context of multiple systems. Sleep duration as an underlying link between environmental factors and child language ability warrants further study as a potential target for intervention.

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.

Effects of Race and Poverty on Sleep Duration: Analysis of Patterns in the 2014 Native Hawaiian and Pacific Islander National Health Interview Survey and General National Health Interview Survey Data

BACKGROUND

There are health concerns associated with unhealthy sleep duration. A growing body of evidence indicates that there are disparities in sleep duration based upon race/ethnicity and socioeconomic status. Prior studies have suffered from inadequate measures of poverty and have not included Native Hawaiians and Pacific Islanders (NHPI).

METHODS

Using the 2014 National Health Interview Survey (NHIS) and the 2014 NHPI-NHIS, the effect of race/ethnicity and poverty was examined for associations with sleep duration.

RESULTS

Significant differences among race/ethnicity groups and sleep duration were found in adjusted associations. Compared with Whites, NHPIs and Blacks were twice as likely to experience very short sleep; NHPI, Hispanic, and Blacks were more likely to experience short sleep; Blacks were also more likely to experience long sleep. Asians were less likely to experience unhealthy sleep (very short, short, or long sleep). Persons living in poverty were significantly more likely to experience very short sleep compared with persons not living in poverty.

CONCLUSION

This is the first population-based study that has examined the relationship between sleep duration and poverty with a large sample that included NHPI in relation to other races/ethnicities. The difference in sleep duration between NHPI and Asians provides a strong rationale for not aggregating Asian and NHPI data in population-based studies.

Neighborhood Socio-Economic Factors and Associations with Infant Sleep Health

Background: Sleep health is important for development and improves overall health. There are large socioeconomic gradients in sleep health, from childhood through adulthood. Recent findings suggest that children from neighborhoods with poorer socioeconomic conditions have more sleep problems. The current study aimed to investigate the associations between neighborhood factors and infant sleep health.

PARTICIPANTS AND METHODS

Secondary data analysis using Multilevel Modeling (MLM) was conducted for a subsample of 2445 women from the All our Families longitudinal cohort study, for whom early pregnancy neighborhood data could be geocoded. The Vancouver Area Neighborhood Deprivation Index (VANDIX) was calculated using census data to assess neighborhood SES. Neighborhood disorder was measured using community crime reports from police services. Mothers rated the perceived safety of their neighborhood and reported on their infants' nighttime sleep consolidation, awakenings, and onset latency at 12 months postpartum.

RESULTS

MLM indicated that neighborhood disorder and maternal perceptions of unsafety predicted less consolidated sleep after accounting for individual and family-level factors including maternal ethnicity, household income, breastfeeding duration, and co-sleeping. Neighborhood deprivation was indirectly related to less consolidated sleep among 12-month-old infants through more reports of disorder and maternal perceptions of less safety.

CONCLUSIONS

Consistent with the socio-ecological model of sleep, neighborhood-level, family, and individual factors influence infant sleep health. Policy efforts to increase neighborhood safety and public health initiatives to increase awareness of the importance of sleep could help improve infant sleep health.

Associations of the residential built environment with adolescent sleep outcomes

STUDY OBJECTIVES

Over 75% of US high school students obtain insufficient sleep, placing them at risk for adverse health outcomes. Identification of modifiable determinants of adolescent sleep is needed to inform prevention strategies, yet little is known about the influence of the built environment on adolescent sleep.

METHODS

In this prospective study, actigraphy was used to assess sleep outcomes among 110 adolescents for 14 days each in eighth and ninth grades: duration (hours/night), onset and offset, and sleeping ≥8 hours. Home addresses were linked to built environment exposures: sound levels, tree canopy cover, street density, intersection density, population density, and housing density. Mixed-effects regression estimated associations of built environment measures with sleep outcomes, adjusting for sex, race, parent education, household income, household size, grade, weeknight status, and neighborhood poverty.

RESULTS

A 1-standard deviation (SD) increase in neighborhood sound was associated with 16 minutes later sleep onset (β = 0.28; 95% confidence interval (CI): 0.06, 0.49) and 25% lower odds of sleeping for ≥8 hours (odds ratio (OR) = 0.75, 95% CI: 0.59, 0.96). A 1-SD increase in neighborhood tree canopy was associated with 18 minutes earlier sleep onset (β = -0.31, 95% CI: -0.49, -0.13) and 10 minutes earlier sleep offset (β= -0.17, 95% CI: -0.28, -0.05). No associations were observed for density-based exposures.

CONCLUSIONS

Higher neighborhood sound level was associated with lower odds of sufficient sleep, while higher tree canopy cover was associated with more favorable sleep timing. Neighborhood sound levels and tree canopy cover are potential targets for policies and interventions to support healthier sleep among adolescents.

Neighborhood environments and sleep among children and adolescents: A systematic review

Understanding salient environmental determinants of pediatric sleep is essential for informing interventions and public health initiatives. Emerging evidence suggests that the neighborhood environment can impact pediatric sleep, but this evidence has not yet been systematically reviewed. We conducted a systematic review of the scientific literature on associations between neighborhood environments and sleep in young children (0-5 y), school-aged children (6-12 y) and adolescents (13-18 y). We reviewed 85 articles published between 2003 and 2020. The most commonly examined neighborhood exposure was low socioeconomic status (40 studies), which was associated with sleep outcomes in 58% of studies (primarily shorter sleep duration, later sleep timing, or obstructive sleep apnea). Evidence was stronger for neighborhood safety/crime/violence (21 studies), with 86% of studies reporting associations with sleep outcomes (primarily self- or caregiver-reported sleep problems). Fewer studies examined associations of neighborhood physical environment exposures, including noise (15 studies), the built environment (seven studies), and air pollution (six studies). Limitations of the current body of evidence include 1) limited examination of neighborhood exposures other than socioeconomic status or safety, 2) use of primarily cross-sectional observational study designs, 3) lack of objective sleep outcome assessment, and 4) limits of current exposure assessment methods.

Correlates of Sleep Duration in Early Childhood: A Systematic Review

OBJECTIVE

This systematic review aimed to summarize correlates of sleep duration in children under 5 years of age.

METHODS

Six electronic databases (PubMed, PsycINFO, MEDLINE, CINAHL, SPORTDiscus, and Scopus) were searched from inception to May 2019. Observational studies and intervention studies reporting cross-sectional results from baseline data were considered. Data were extracted using a predesigned form and potential correlates were categorized following a sociological framework.

RESULTS

One-hundred and sixteen studies, representing 329,166 children, met the inclusion criteria, with a high risk of bias in 62 included studies. A total of 83 correlates of sleep duration were identified. Among the associations studied four or more times, correlates of nap duration were child's age and nighttime sleep onset/bedtime; correlates of nighttime sleep duration were household income, parent marital status, parental adiposity level, nighttime sleep duration at younger age, nighttime sleep onset/bedtime, nighttime sleep wakeup time, and frequency of current bedtime routine; correlate of total sleep duration was screen time.

CONCLUSIONS

Young children from low-income households, single families, or having overweight parents may be at risk for short sleep duration. Promoting healthy sleep duration from an early age appears essential. Effective practices may include encouraging an earlier bedtime, limiting screen time, and establishing a regular bedtime routine. The absence of consistent evidence in the psychological, cognitive, and emotional domain as well as the physical environmental domain warrants further research.

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.

Individual differences in the effects of child sleep problems on early executive functioning

Sleep is a critical health behavior with important implications for child development. This chapter discusses the effects of sleep problems on early child executive functioning (EF), with an emphasis on individual differences that might moderate this relationship. Specifically, we (1) provide a brief background on sleep and EF in early childhood; (2) review literature on the association between sleep and EF; (3) review literature on individual differences in the effects of sleep problems on EF; (4) offer recommendations for future research on moderators of the sleep-EF association, and (5) briefly describe an ongoing study examining the moderators of the sleep-EF association within a longitudinal study from pregnancy to preschool.

Pediatric sleep health: It matters, and so does how we define it

In 2014, Buysse published a novel definition of sleep health, raising awareness for the importance of this construct for individuals, populations, clinical care, and research. However, the original definition focused on adults, with the recommendation that it should be adapted for children and adolescents. As children live within a complex and dynamic system, and may not always have control over their own sleep, this theoretical review will examine and apply Buysse's five dimensions of sleep health within the context of pediatrics. In addition, using examples from the pediatric sleep literature we introduce a modified definition that takes into consideration the influence of the socio-ecological system within which children live, and the sleep-related behaviors that are critical in supporting or hindering sleep health. Finally, we discuss how the proposed theoretical framework, Peds B-SATED, can be applied to clinical practice, research, and training in the field of pediatric sleep.

The contributory role of the family context in early childhood sleep health: A systematic review

Sleep-wake regulation is established during early childhood and contributes to life-long health. The family context is critical to the development of child sleep-wake regulation. The primary aim of this systematic review was to elucidate family-level constructs (outside of bedtime parenting) that contribute to early childhood (age 0-5 years) sleep health. We identified empirical research articles that investigate these relationships through systematically searching PubMed, Web of Science, and PsycINFO databases. The transactional model of sleep-wake regulation guided the selection of family-level search terms, including socioeconomic status (SES), family structure, household chaos, marital, co-parenting, and social relationships. Sleep search terms included sleep problems, duration, timing, and variability. We searched sleep and family terms in combination with infant, toddler, or preschool developmental age. Sixteen studies satisfied criteria for inclusion. Results indicated that the presence of household chaos and poor quality marital relationships were directly associated with early childhood sleep problems and variable sleep timing. Higher marital satisfaction and the presence of household routines were positively associated with sleep duration. Several, but not all, studies showed an association between lower SES and poor child sleep health. There were no significant direct associations for family structure and limited findings for the role of perceived social support and co-parenting relationship quality. Overall, operationalization and measurement of family and sleep constructs varied across studies, decreasing our ability to make comparisons and draw robust conclusions. Future research should identify modifiable family-level factors that can be targeted, in addition to bedtime parenting, to improve sleep-wake regulation development.

Does context matter? A multilevel analysis of neighborhood disadvantage and children's sleep health

OBJECTIVES

To determine how demographic, socioeconomic, and neighborhood characteristics are associated with bedtimes among US kindergarteners.

DESIGN

Parents reported bedtimes of their children as well as personal, household, and residential characteristics via interviews in the Early Childhood Longitudinal Study-Kindergarten (ECLS-K) Class of 1998-1999. The ECLS-K links individual households to US Census tracts.

SETTING

A random selection of 1,280 schools and surrounding communities in the US.

PARTICIPANTS

A random selection of 16,936 kindergarteners and their parents.

MEASUREMENTS

The 2 outcomes were regular and latest weekday bedtimes of kindergarteners. Through a series of nested multilevel regression models, these outcomes were regressed on individual- and neighborhood-level variables, including race/ethnicity, sex, family type, household income, mother's educational attainment, neighborhood disorder, and several additional neighborhood characteristics.

RESULTS

Models showed significant (P < .05) bedtime disparities by race/ethnicity, sex, family income, and mother's educational attainment. Additionally, models tended to indicate that kindergarteners from disadvantaged neighborhoods experienced later bedtimes than children from more advantaged areas. Neighborhood characteristics accounted for a portion of racial/ethnic differences, suggesting that bedtime disparities are partly rooted in disparate environmental conditions.

CONCLUSIONS

Reducing disparities in childhood sleep may require programs that target not only children and their parents, but also the communities in which they reside.

Longitudinal measures of neighborhood poverty and income inequality are associated with adverse birth outcomes in Texas

BACKGROUND

Inequity in adverse birth outcomes between black and white women in the U.S. is persistent, despite decades of research and prevention efforts. Neighborhood environments are plausibly related to pre-pregnancy health and other risk factors for adverse birth outcomes and may help explain black/white inequities. Despite the fact that neighborhoods change over time, most prior work has relied upon cross-sectional measures of neighborhood economic contexts.

METHODS

We used birth certificates for non-Hispanic black and white women in Texas (2009-2011, N = 470,896) to examine whether longitudinal measures of neighborhood economic context (poverty and income inequality, based on census tract data from 1990 to 2010) were associated with preterm birth, low birthweight and small-for-gestational-age (SGA) with hierarchical generalized linear models. We also tested whether (1) the longitudinal measures explained black/white inequities or (2) moderated the effect of race on the birth outcomes. Finally, we compared the models with longitudinal measures to models with cross-sectional measures of neighborhood economic context.

RESULTS

Longitudinal measures of neighborhood economic context were associated with all three birth outcomes, but did not explain racial inequities. Except for income inequality and SGA, there was no evidence of moderation by race. Substituting cross-sectional measures of economic context for longitudinal ones resulted in similar findings.

CONCLUSION

Policies that either address structural neighborhood-level economic disadvantage or mitigate the effects of such disadvantage are warranted to improve the health of mothers and prevent adverse birth outcomes.

Physical and Social Environment Relationship With Sleep Health and Disorders

Sleep health is a multidimensional construct that includes adequate duration, quality, and appropriately timed sleep that may be influenced by environmental factors. In this review, we focus on how an individual's living and sleeping environment, both the surrounding neighborhood physical and social features and the atmosphere around them, may impact their sleep health. We explore the associations of the physical environment (urban density, recreational facilities, green space, mixed land use, and healthy food stores), neighborhood deprivation (disadvantage and disorder), and the social environment (social cohesion, safety, and stigma) with sleep in both adult and pediatric populations. We investigate how physical and social environmental features may lead to alterations in the timing, duration, and quality of sleep and contribute to the most prevalent sleep disorders: insomnia, sleep apnea, and circadian rhythm disorders. We also review how ambient factors such as artificial light, environmental noise, and air pollution may contribute to sleep pathology. We have included key studies and recent emerging data regarding how the differential distribution of environmental factors that may affect sleep health may contribute to sleep health disparities.

Sleep Problem Trajectories and Cumulative Socio-Ecological Risks: Birth to School-Age

OBJECTIVES

To evaluate whether there are distinct childhood sleep problem trajectories from birth to 10-11 years and to assess associations with cumulative socio-ecological risks (child, family, context).

STUDY DESIGN

Participants were 5107 children from the Longitudinal Study of Australian Children-Birth Cohort. At birth, cumulative risk indexes were generated for birth, parenting, family, socioeconomic, and neighborhood risks. Parent-reported child sleep problems were assessed biennially from ages 0-1 to 10-11 years. Sleep problem trajectories were derived using latent class analysis. Multivariable logistic regression was used to examine associations with risk indexes.

RESULTS

Five distinct trajectories emerged: persistent sleep problems through middle childhood (7.7%), limited infant/preschool sleep problems (9.0%), increased middle childhood sleep problems (17.0%), mild sleep problems over time (14.4%), and no sleep problems (51.9%). Cumulative mother- and father-reported family risks (distress; marital/relational hostility) were linked to nearly all of the trajectories, whereas father- and mother-reported parenting risks were associated with fewer trajectories. Birth risks were associated with increased middle childhood sleep problems. Neighborhood risks were not associated with any trajectories. Socioeconomic risks were linked to mild and persistent sleep problem trajectories. Cumulative risk indexes were most associated with increased middle childhood sleep problems.

CONCLUSIONS

This study identified distinct longitudinal sleep problem trajectories, suggesting the need for continuous sleep screening over development. Cumulative risks assessed at birth-primarily maternal and paternal family risks-predicted these trajectories, especially for the sleep problems in middle childhood trajectory. Preventive interventions targeting modifiable factors, particularly caregiver distress and marital/relational hostility, could benefit child sleep.

Downward Neighborhood Poverty Mobility during Childhood Is Associated with Child Asthma: Evidence from the Geographic Research on Wellbeing (GROW) Survey

Causal evidence regarding neighborhood effects on health remains tenuous. Given that children have little agency in deciding where they live and spend proportionally more of their lives in neighborhoods than adults, their exposure to neighborhood conditions could make their health particularly sensitive to neighborhood effects. In this paper, we examine the relationship between exposure to poor neighborhoods from birth to ages 4-10 and childhood asthma. We used data from the 2003-2007 California Maternal Infant and Health Assessment (MIHA) and the 2012-2013 Geographic Research on Wellbeing (GROW) survey (N = 2619 mother/child dyads) to fit relative risks of asthma for children who experience different types of neighborhood poverty mobility using Poisson regression controlling for individual-level demographic and socioeconomic characteristics, and neighborhood satisfaction. Our results demonstrate that [1] living in a poor neighborhood at baseline and follow-up and [2] moving into a poor neighborhood were each associated with higher risk of asthma, compared with children not living in a poor neighborhood at either time. Exposure to impoverished neighborhoods and downward neighborhood poverty mobility matters for children's health, particularly for asthma. Public health practitioners and policymakers need to address downward neighborhood economic mobility, in addition to downward family economic mobility, in order to improve children's health.

Experience of Poverty and Problem Sleep in Later Life

Older adults are more likely to report problem sleep, but little is known about how the economic challenges of old age affect sleep. Using data from the disability and use of time from the panel study of income dynamics (N = 1,693), this study applied propensity score methods and the marginal structural model to estimate the associations between exposure to poverty and two measures of problem sleep: risky sleep duration and difficulty falling asleep. Poverty, irrespective of duration of exposure, had little impact on short sleep duration. Exposure to poverty, however, was associated with increased likelihood of long sleep duration on weekends and having difficulty falling asleep on both weekdays and weekends, especially for older adults who were exposed to poverty for 5 or more years. Findings suggest that economic hardship of old age may be a social structural obstacle for healthy sleep.