Examination of neighborhood disadvantage and sleep in a multi-ethnic cohort of adolescents

Perceived childhood neighborhood safety and sleep health during childhood and adulthood among a cohort of African American women

OBJECTIVE

To investigate associations between perceived childhood neighborhood safety and sleep over the life course.

METHODS

Among a cohort of 1693 Black/African American women aged 23-35 years at enrollment (2010-2012), participants recalled neighborhood safety (safe vs. unsafe) when they were 5, 10, and 15 years old. Participants' mothers/caregivers and participants reported sleep-related health behaviors at age 5. We used ordinal logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for sleep-related health behaviors (i.e., rarely/never or sometimes vs. mostly/always going to bed by 8:00 p.m., bed in a quiet room, bed in a dimly lit or unlit room), separately. Adulthood sleep duration and insomnia symptoms were reported at enrollment and over three follow-up periods. We applied generalized estimating equations to log binomial regression models to estimate relative risks (RR) for adulthood sleep characteristics.

RESULTS AND CONCLUSIONS

Four percent of participants reported an unsafe neighborhood at age 5 years, only, and 12% reported an unsafe neighborhood at all ages. Participants in perceived unsafe vs. safe neighborhoods at age 5 had higher odds of poor sleep-related health behaviors (e.g., rarely/never or sometimes going to bed in a quiet room: OR = 1.73 [1.27-2.35]). Participants in perceived unsafe vs. safe neighborhoods throughout childhood had higher risk of short sleep (RR = 1.10 [1.02-1.18]) and insomnia symptoms (RR = 1.07 [1.00-1.15]) during adulthood after adjustment for life course socioeconomic characteristics and adulthood health behaviors and characteristics. Perceived unsafe childhood neighborhood was associated with poorer sleep over the life course and may serve as an early intervention target.

Exploration of Sex and Age as Moderators Between Social Cumulative Risk and Sleep in a Representative Sample of Children and Adolescents Living in the United States

BACKGROUND

Youth who face adversity are at a disproportionate risk for poor sleep health across the life course. Identifying whether the association between adversity and poor sleep varies based upon age and sex is needed. This study aims to explore sex and age as moderators between social risk and sleep in a sample of U.S. youth.

METHODS

This study analyzed data of 32,212 U.S. youth (6-17 years) whose primary caregiver participated in the 2017-2018 National Survey of Children's Health. A social cumulative risk index (SCRI) score was calculated from 10 parental, family, and community risk indicators. Nighttime sleep duration was the number of hours the child slept during the past week. Weeknight sleep irregularity was operationalized as whether the child sometimes/rarely/never went to bed at the same time. Generalized logistic regression models estimated associations between SCRI and sleep duration/irregularity, with age and sex as moderators.

RESULTS

Age moderated the association between SCRI and short sleep (OR = 1.12, p < 0.001), such that the magnitude of the SCRI-sleep relationship was 12% greater in school-age children. Sex was not a significant moderator. In stratified models by age group, age was positively associated with short sleep in both groups, with a greater magnitude in school-age children. Female school-age children were less likely to have short sleep than males.

CONCLUSIONS

Younger children with greater social cumulative risk factors may be more vulnerable to short sleep duration. Further research into the mechanisms underlying the relationships between social risk and sleep health in school-age children is needed.

Social and built neighborhood environments and sleep health: The Hispanic Community Health Study/Study of Latinos Community and Surrounding Areas and Sueño Ancillary Studies

STUDY OBJECTIVES

To test associations between neighborhood social, built, and ambient environment characteristics and multidimensional sleep health in Hispanic/Latino adults.

METHODS

Data were from San Diego-based Hispanic/Latino adults mostly of Mexican heritage enrolled in the Hispanic Community Health Study/Study of Latinos (N = 342). Home addresses were geocoded to ascertain neighborhood characteristics of greenness, walkability (density of intersections, retail spaces, and residences), socioeconomic deprivation (e.g. lower income, lower education), social disorder (e.g. vacant buildings, crime), traffic density, and air pollution (PM 2.5) in the Study of Latinos Communities and Surrounding Areas Study. Sleep dimensions of regularity, satisfaction, alertness, timing, efficiency, and duration were measured by self-report or actigraphy approximately 2 years later. Multivariable regression models accounting for study design (stratification and clustering) were used to examine associations of neighborhood variables with individual sleep dimensions and a multidimensional sleep health composite score.

RESULTS

Neighborhood characteristics were not significantly associated with the multidimensional sleep health composite, and there were few significant associations with individual sleep dimensions. Greater levels of air pollution (B = 9.03, 95% CI: 1.16, 16.91) were associated with later sleep midpoint, while greater social disorder (B = -6.90, 95% CI: -13.12, -0.67) was associated with earlier sleep midpoint. Lower walkability was associated with more wake after sleep onset (B = -3.58, 95% CI: -7.07, -0.09).

CONCLUSIONS

Living in neighborhoods with lower walkability and greater air pollution was associated with worse sleep health, but otherwise findings were largely null. Future research should test these hypotheses in settings with greater variability and investigate mechanisms of these associations.

Neighborhood determinants of sleep and the moderating role of cultural factors among native adolescents

OBJECTIVE

This study examined the association between neighborhood social environment and sleep among urban American Indian and Alaska Native (AI/AN) adolescents as well as the moderating role of cultural factors in this association.

METHOD

The analytic sample included 133 urban AI/AN adolescents (age 12-16, 57.1% female, Mage = 14.03, SDage = 1.35). Perceived neighborhood social environment included safety and cohesion. Cultural factors included AI/AN cultural identification and historical loss. Sleep duration, efficiency, and wake after sleep onset (WASO) were measured via actigraphy. Sleep disturbance was measured via a questionnaire.

RESULTS

Greater neighborhood safety was significantly associated with lower sleep disturbance (b = -2.17, SE = 0.8, p = .008), higher sleep efficiency (b = 1.75, SE = 0.64, p = .006), and lower WASO (b = -8.60, SE = 3.34, p = .01). Neighborhood cohesion was not associated with any sleep outcomes. Cultural factors moderated the association between neighborhood social environment and sleep outcomes (p < .05). Specifically, both neighborhood safety and cohesion were associated with lower sleep disturbance, only among individuals reporting higher levels of AI/AN cultural identification. Further, neighborhood safety was associated with greater sleep efficiency and lower WASO (i.e., better sleep) only among adolescents with higher contemplation of historical loss.

CONCLUSIONS

Findings highlight the importance of considering cultural factors in addressing sleep and health disparities. AI/AN cultural identification and a sense of historical loss may be important targets for identifying adolescents who might benefit the most from policies and interventions focused on improving the social environment in order to improve sleep and other health outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Family- and neighborhood-level environmental associations with physical health conditions in 9- and 10-year-olds

OBJECTIVE

To determine how environmental factors are associated with physical health conditions in 9- to 10-year-old participants in the Adolescent Brain Cognitive Development (ABCD) Study, and how they are moderated by family-level socioeconomic status (SES).

METHOD

We performed cross-sectional analyses of 8,429 youth participants in the ABCD Study, in which nine physical health conditions (having underweight or overweight/obesity, not participating in sports activities, short sleep duration, high sleep disturbances, lack of vigorous and strengthening-related physical activity, miscellaneous medical problems, and traumatic brain injury) were regressed on three environmental factors [neighborhood disadvantage (area deprivation index [ADI]), risk of lead exposure, and concentrations of particulate matter 2.5 (PM2.5)] and their interaction with family-level SES (i.e., parent-reported annual household income). Environmental data were geocoded to participants' primary residential addresses at 9- to 10-year-olds.

RESULTS

Risk of lead exposure and ADI were positively associated with the odds of having overweight/obesity, not participating in sports activity, and short sleep durations. ADI was also positively associated with high sleep disturbances. PM2.5 was positively associated with the odds of having overweight/obesity and reduced vigorous physical activity. Family-level SES moderated relationships between ADI and both underweight and overweight/obesity, with high SES being associated with more pronounced changes given increased ADI.

CONCLUSIONS

Policymakers and public health officials must implement policies and remediation strategies to ensure children are free from exposure to neurotoxicant and environmental factors. Physical health conditions may be less of a product of an individual's choices and more related to environmental influences. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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.

Concentrated disadvantage and functional disability: a longitudinal neighbourhood analysis in 100 US cities

BACKGROUND

Socioeconomic disadvantage related to poverty, unemployment and social disinvestment contributes to significant disparities in community health in the USA. Yet, there remains limited ecological research on the relationship between neighbourhood disadvantage and functional disability. Much of the work in this area has focused on elderly populations without attention to variation across age and sex groups.

METHODS

Using a longitudinal dataset of almost 16 000 neighbourhoods, we examine the relationship between neighbourhood disadvantage and functional disability. Leveraging a series of cross-lagged panel models, we account for reciprocal dynamics and a range of pertinent covariates while assessing differences across age- and sex-specific groups.

RESULTS

Accounting for reciprocal effects, we found that the association between concentrated disadvantage and functional disability varies across age and sex groups. Concentrated disadvantage is most consistently associated with increased functional disability among boys (5-17 years), young men (18-34 years) and middle-aged men (35-64 years). Similar associations are found among girls (5-17 years) and middle-aged women (35-64 years).

CONCLUSION

Local neighbourhood economic conditions are significantly associated with functional disability among relatively young populations of males and females. Exposure to neighbourhood disadvantage and deprivation may accelerate disablement processes and shift the age curve of disability risk.

The perceived neighborhood walking environment and self-reported sleep health in a nationally representative sample of the United States

Neighborhood environment can influence sleep health; yet, there is a lack of data on specific environment features in nationally representative samples. We used the 2020 National Health Interview Survey to determine associations between perceived built and social environment factors related to pedestrian access (walking paths, sidewalks), amenities (shops, transit stops, entertainment/services, places to relax), and unsafe walking conditions (traffic, crime) and self-reported sleep duration and disturbances. Places to relax and pedestrian access were associated with better sleep health while unsafe walking conditions were associated with worse sleep health. Access to amenities (shops, transit stops, entertainment venues) had null associations with sleep health.

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.

Feasibility and acceptability of mobile methods to assess home and neighborhood environments related to adolescent sleep

OBJECTIVE

A growing evidence base suggests home and neighborhood environmental exposures may influence adolescent sleep, but few studies have assessed these relationships using methods that account for time-varying, location-specific exposures, or multiple neighborhood contexts. This study aimed to assess the feasibility and acceptability of using smartphone global positioning system (GPS) tracking and ecological momentary assessment (EMA) to assess time-varying home and neighborhood environmental exposures hypothesized to be associated with adolescent sleep.

METHODS

Adolescents aged 15-17 years in Philadelphia completed 7 days of continuous smartphone GPS tracking, which was used to identify daily levels of exposure to geocoded neighborhood factors (eg, crime, green space). Four daily EMA surveys assessed home sleep environment (eg, noise, light), stress, health behaviors, and neighborhood perceptions. Feasibility and acceptability of GPS tracking and EMA were assessed, and distributions of daily environmental exposures were examined.

RESULTS

Among 25 teens (mean age 16, 56% male), there was a high level of GPS location data captured (median daily follow-up: 24 hours). Seventy-eight percent of EMA surveys were completed overall. Most participants (96%) reported no privacy concerns related to GPS tracking and minimal burden from EMA surveys. Exposures differed between participants' home neighborhoods and locations visited outside the home neighborhood (eg, higher crime away from home). Sleep environment disruptions were present on 29% of nights (most common: uncomfortable temperature) and were reported by 52% of adolescents.

CONCLUSIONS

Results demonstrate the feasibility and acceptability of mobile methods for assessing time-varying home and neighborhood exposures relevant to adolescent sleep for up to 1 week.

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.

Neighborhood Socioeconomic Deprivation in Early Childhood Mediates Racial Disparities in Blood Pressure in a College Student Sample

The influence of childhood contexts on adult blood pressure is an important yet understudied topic. Using a developmental perspective, this study examines the association between neighborhood socioeconomic disadvantage in early childhood (0-5 yrs), middle childhood (6-12 yrs) and adolescence (13-18 yrs) on subsequent blood pressure in young adulthood. Data were from 263 college students (52% Black; M_age = 19.21 years) and neighborhood socioeconomic disadvantage was measured using a tract-level Area Deprivation Index. Neighborhood disadvantage in early childhood was significantly associated with diastolic blood pressure and explained 22% of the race difference between Black and White adults. The findings are consistent with the notion that early childhood may be a sensitive period for the effects of neighborhood disadvantage on blood pressure.

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.

Changes in Sleep-Wake Patterns and Disturbances Before and During COVID-19 in Urban American Indian/ Alaska Native Adolescents

BACKGROUND

COVID-19 has profoundly affected sleep, although little research has focused on high-risk populations for poor sleep health, including American Indian/Alaska Native (AI/AN) adolescents.

METHODS

This is the first longitudinal study to examine changes in sleep with surveys completed before the pandemic and during the early months of COVID-19 in a sample of urban AI/AN adolescents (N = 118; mean age = 14 years at baseline; 63% female). We use a mixed-methods approach to explore how COVID-19 affected urban AI/AN adolescents' sleep, daily routines, and interactions with family and culture. Quantitative analysis examined whether pandemic-related sleep changes were significant and potential moderators of COVID-19's effect on sleep, including family and community cohesion and engagement in traditional practices.

RESULTS

: Findings demonstrate changes in sleep, including increases in sleep duration, delays in bedtimes and waketimes, and increases in sleep-wake disturbances (p's <.001). Higher levels of family cohesion and higher levels of engagement in traditional practices moderated pandemic-related increases in weekday sleep duration. Qualitative analyses revealed changes in adolescents' sleep and daily behaviors, as well as strategies adolescents used to cope with pandemic-related disruptions in sleep and routines.

CONCLUSION

Findings demonstrate positive and negative changes in sleep during COVID-19 stay-at-home orders, including simultaneous increases in sleep duration and sleep-wake disturbances. Results highlight the importance of considering multi-level influences on adolescent sleep, such as early school start times, family dynamics, and cultural factors. A multi-level approach may help guide prevention and intervention efforts to improve adolescent sleep health.

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.

Loneliness and multiple health domains: associations among emerging adults

Emerging adults (18–25 years), particularly racially/ethnically diverse and sexual and gender minority populations, may experience loneliness following major life transitions. How loneliness relates to health and health disparities during this developmental period is not well understood. We examine associations of loneliness with physical (self-rated health), behavioral (alcohol/marijuana consequences; nicotine dependence), and health behavior outcomes (weekday and weekend sleep; trouble sleeping), and investigate moderating effects by sex, race/ethnicity, and sexual/gender minority (SGM) status. Adjusted models using cross-sectional data from 2,534 emerging adults, predominantly in California, examined associations between loneliness and each outcome and tested interactions of loneliness with sex, race/ethnicity, and SGM status. Higher loneliness was significantly associated with worse self-rated health, higher marijuana consequences, less weekday sleep, and greater odds of feeling bothered by trouble sleeping. None of the interactions were significant. Findings suggest that interventions to reduce loneliness may help promote healthy development among emerging adults across subgroups.

Examination of Sleep and Obesity in Children and Adolescents in the United States

PURPOSE

This study contributes to the growing literature on the association between sleep and obesity by examining the associations between hours of sleep, consistency of bedtime, and obesity among children in the US.

DESIGN

Analysis of a nationally representative sample of non-institutionalized children from the 2016-17 National Survey of Children's Health.

SETTING

US, national.

SUBJECTS

Children ages 10-17 years (n = 34,640).

MEASURES

Parent reported weeknight average hours of sleep and consistency of bedtime. Body mass index classified as underweight, normal, overweight or obesity using parent-reported child height and weight information, classified using CDC BMI-for-Age Growth Charts.

ANALYSIS

Multivariate logistic regression models were used to estimate associations between measures of sleep and body mass index weight category adjusting for individual, household and neighborhood characteristics.

RESULTS

An additional hour of sleep was associated with 10.8% lower odds of obesity, net of consistency in bedtime. After controlling for sleep duration, children who usually went to bed at the same time on weeknights had lower odds of obesity (24.8%) relative to children who always went to bed at the same time.

CONCLUSION

Sleep duration is predictive of lower odds of obesity in US children and adolescents. Some variability in weeknight bedtime is associated with lower odds of obesity, though there were no additional benefits to extensive variability in bedtime.

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.

Associations of insomnia with noise annoyance and neighborhood environments: A nationwide cross-sectional study in Japan

•

Data on the association between insomnia and neighborhood noise are lacking.

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Insomnia is associated with noise annoyance from the neighborhood.

•

Neighborhood noise should be considered in health and urban policy planning.

Despite the increasing knowledge on the association between neighborhood and health, few studies have investigated sleep disorders in Japan, particularly the impact of neighborhood noise on sleep. Thus, this study aimed to investigate the associations between insomnia symptoms and annoyance because of traffic and neighborhood noise in Japan, which has different neighborhood conditions compared with those of the western societies. Neighborhood built and socioeconomic environments roles were also examined. We used nationwide cross-sectional data collected through a 2015 online survey of Japanese adults aged 20–64 years (n = 4,243). Adjusted prevalence ratios for insomnia according to the exposures were estimated using the multilevel Poisson regression models. The results showed that having insomnia was significantly associated with experiencing neighborhood and traffic-noise annoyance. Neighborhood noise had a stronger and independent association with insomnia. However, the neighborhood environmental variables, including population density, deprivation index, and access to commercial areas, were not associated with insomnia. In conclusion, noise annoyance, particularly that sourced from neighbors, is an important factor in relation to sleep health. Health and urban-planning policymakers should consider neighborhood noise, in addition to traffic noise, as health-related issues in residential neighborhoods.

Early and Late Adolescent Factors that Predict Co-use of Cannabis with Alcohol and Tobacco in Young Adulthood

The changing legal landscape of cannabis in the USA has coincided with changes in how cannabis is used, including its co-use with other substances. This study analyzed 10 years of data from a diverse cohort of youth (N = 2429; 54% Hispanic, 16% Asian, 16% white, 3% black, 10% multiracial) to examine predictors in early and late adolescence of co-use of alcohol with cannabis (AC) and tobacco with cannabis (TC) at age 21. Two forms of co-use were examined: concurrent (use of both substances in past month) and sequential (use of one substance right after the other). Analyses focused on four predictor domains: individual (e.g., resistance self-efficacy), peer (e.g., time spent around peers who use), family (e.g., sibling use), and neighborhood (i.e., perceived alcohol and drug problems in neighborhood). For each co-use combination (AC or TC), we estimated parallel process piecewise latent growth models in a structural equation modeling framework using Mplus v8. The final AC and TC co-use models included all predictor variables from the four domains. Increases in positive expectancies and time spent around peers who use AC, as well as steeper decreases in resistance self-efficacy, were all related to a greater likelihood of AC co-use in young adulthood. Increases in sibling TC use and time spent around peers who use TC, as well as steeper decreases in resistance self-efficacy, were all related to a greater likelihood of TC co-use in young adulthood. Overall, findings highlight the importance of addressing peer influence in prevention programming during both early and late adolescence.

Determinants of postpartum sleep duration and sleep efficiency in minority women

STUDY OBJECTIVES

To examine demographic, psychosocial, and behavioral determinants of postpartum sleep duration and sleep efficiency among a cohort of black and Latina women.

METHODS

Data were from 148 women (67% black, 32% Latina) at 5 months postpartum, recruited from an academic medical center in Philadelphia. Relevant demographic, psychosocial and behavioral predictors were assessed via questionnaire. Nocturnal sleep was objectively measured for 1 week using wrist actigraphy. Sleep duration was examined as a continuous variable and in categories (<7 versus ≥7 h per night); sleep efficiency was examined as a continuous variable. Independent multiple linear regression models were built to evaluate significant determinants of sleep.

RESULTS

Adjusted models revealed that breastfeeding, having a bedtime after midnight, and being employed were associated with shorter sleep duration (-25-33 min, all p < 0.05). Multiparity, being unmarried, being employed, breastfeeding, having a bedtime after midnight, bedsharing, and responding to infant awakenings by getting up immediately rather than waiting a few minutes to see if the infant fell back asleep, were all significant determinants of sleeping <7 h per night (OR varying: 2.29-4.59, all p < 0.05). Bedsharing was the only variable identified from the multiple regression model that associated with poorer sleep efficiency (-3.8%, p < 0.05).

CONCLUSIONS

Findings may inform interventions for improving postpartum sleep in socioeconomically disadvantaged, racial/ethnic minority postpartum women.

Racial disparities in sleep health between Black and White young adults: The role of neighborhood safety in childhood

OBJECTIVES

Black adults in the United States have shorter sleep durations and poorer sleep efficiency relative to White adults, yet reasons for these disparities are not well explicated. The objective of this study was to examine neighborhood safety in childhood as a mediator of subsequent racial disparities in sleep.

METHODS

Data were from Black and White young adults attending a large, predominantly White university in the Southeastern United States (N = 263; 52% Black, 53% female; Mean age = 19.21 years, SD = 1.01). Sleep parameters were assessed from eight nights of wrist actigraphy (time in bed, sleep duration, and efficiency) and an established self-report measure of daytime sleepiness. Residential histories from birth through age 18 were documented, and retrospective self-reports of neighborhood safety in childhood were assessed.

RESULTS

Black participants had less time in bed (p < 0.001), shorter sleep duration (p < 0.001), poorer sleep efficiency (p < 0.001), and more daytime sleepiness (p = 0.009) than White participants. Neighborhood safety mediated race differences in time in bed (p = 0.028), sleep duration (p = 0.033), and daytime sleepiness (p = 0.048), but not sleep efficiency. Findings were substantively unchanged after adjustment for family socioeconomic status, BMI, and substance use.

CONCLUSIONS

Findings support the hypothesis that neighborhood safety in childhood may partially account for race differences in subsequent sleep duration and daytime sleepiness. Addressing racial inequities in childhood neighborhood safety may be an important step toward reducing racial disparities in sleep health.

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.

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.

Violent crime, police presence and poor sleep in two low-income urban predominantly Black American neighbourhoods

OBJECTIVE

To examine violent crime in relation to sleep and explore pathways, including psychological distress, safety perceptions and perceived police presence, that may account for associations.

METHODS

In 2018, 515 predominantly Black American (94%) adults (Pittsburgh, Pennsylvania, USA) provided survey data: actigraphy-assessed sleep duration and wakefulness after sleep onset (WASO). We estimated pathways from violent crime (2016-2018) to sleep through psychological distress, perceptions of safety and perceived adequacy of police presence.

RESULTS

WASO was most strongly associated with violent crimes that were within 1/10 mile of the participant's home and within the month preceding the interview. Violent crimes were associated with lower perceived safety (β=-0.13 (0.03), p<0.001) and greater WASO (β=5.96 (2.80), p=0.03). We observed no indirect associations between crime and either WASO or sleep duration through any of the tested mediators. Crime was not associated with sleep duration.

CONCLUSIONS

We demonstrated that more proximal and more recent violent crimes were associated with reduced perceived safety and worse WASO. Differential exposure to violent crime among Black Americans may contribute to health disparities by reducing residents' perceived safety and sleep health.

Health Disparities in COVID-19: Addressing the Role of Social Determinants of Health in Immune System Dysfunction to Turn the Tide

It is evident that health disparities exist during the COVID-19 pandemic, a pandemic caused by the novel coronavirus SARS-CoV-2. Underlying reasons for COVID-19 health disparities are multi-factorial. However, social determinants, including those regarding socioeconomic status, social inequalities, health behaviors, and stress, may have implications on these disparities. Exposure to one or more of these social determinants is associated with heightened inflammatory responses, particularly increases in the cytokine interleukin-6 (IL-6), as well as immune system dysfunction. Thus, an amplified effect during COVID-19 could occur, potentially resulting in vulnerable patients experiencing an intensified cytokine storm due to a hyperactive and dysfunctional immune response. Further understanding how social determinants play a mechanistic role in COVID-19 disparities could potentially help reduce health disparities overall and in future pandemics.

An audit tool for longitudinal assessment of the health-related characteristics of urban neighborhoods: implementation methods and reliability results

BACKGROUND

Improving the neighborhood environment may help address chronic disease and mortality. To identify neighborhood features that are predictors of health, objective assessments of the environment are used. Multiple studies have reported on cross-sectional assessments of health-related neighborhood features using direct observation. As study designs expand to better understand causation and predictors of change, there is a need to test whether direct observation methods are adequate for longitudinal assessment. To our knowledge, this is the first study to report on the reliability of repeated measurements of the neighborhood environment, and their stability, over time.

METHODS

The Pittsburgh Hill/Homewood Research on Neighborhood Change and Health (PHRESH) study conducted longitudinal assessments in two low-income, African American neighborhoods at three waves (years 2012, 2015, 2017). The PHRESH audit tool is a modification of earlier validated tools, with an emphasis on environment features relevant for physical activity, sleep, and obesogenic behaviors. Trained data-collector pairs conducted direct observations of a 25% sample of street segments in each neighborhood. At each wave, we audited a sub-sample of street segments twice and assessed reliability using percentage inter-observer agreement and krippendorf's alpha statistics. Stability of these items was assessed as exhibiting moderate or high agreement at every time point.

RESULTS

Across waves, a majority (81%) of the items consistently demonstrated moderate to high agreement except for items such as public/communal space, amount of shade, sidewalk features, number of traffic lanes, garden/flower bed/planter, art/statue/monument, amount of trash, and physical disorder. The list of items with poor agreement includes features that are easy to miss (e.g. flower bed/planter), hard to assess from outside (e.g. public/communal space), or may change quickly (e.g. amount of trash).

CONCLUSION

In this paper, we have described implementation methods, reliability results and lessons learned to inform future studies of change. We found the use of consistent methods allowed us to conduct reliable, replicable longitudinal assessments of the environment. Items that did not exhibit stability are less useful for detecting real change over time. Overall, the PHRESH direct observation tool is an effective and practical instrument to detect change in the neighborhood environment.

Associations between the Neighborhood Social Environment and Obesity Among Adolescents: Do Physical Activity, Screen Time, and Sleep Play a Role?

This study examines: (1) the association between the neighborhood social environment and obesity among adolescents, (2) whether physical activity, screen time, and short sleep mediates this association, and (3) examine sex differences. Participants (n=12,692; age 11-19 years old) came from Waves I and II of the National Longitudinal Study of Adolescent to Adult Health. Neighborhood social disorganization and socioeconomic status (NSES) measures were associated with obesity adjusting for sex, race, age, parental education, and urbanicity. Screen time mediated NSES and obesity. Very short sleep duration (<6 hours) mediated social disorganization and obesity among females only. Findings suggest improving neighborhood social conditions may reduce the risk for obesity.

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.

Trauma-related sleep disturbance in youth

As the occurrence of traumatic events has increased in mainstream media the study of Trauma-Related Sleep Disturbance (TRSD) has gained more traction within the field of sleep health. TRSD is prevalent in youth and can have deleterious outcomes that impact function, yet empirical data that examine this topic are limited. This review seeks to highlight the extant literature focusing on TRSD and to identify critical areas of future research.

A novel low-cost method for assessing intra-urban variation in night time light and applications to public health

Night time lighting (NTL) pollution is a public health concern given its known impact on a range of health outcomes. The daily cycle of the hue of natural ambient light shifting from relatively blue-white light at noon to relatively yellow-red light at sunset is important for human functioning. Disruptions of the circadian clock can result in melatonin suppression, sleep and mood disorders, and increased risks of cancer in adults. Current measures of intra-urban variation in NTL are based on costly in-person or coarse satellite image-based assessments. The central objective of the current study is to validate a novel low-cost measure of intra-urban NTL variation. Estimates of red, green and blue NTL intensity were derived from a cloud-free night time image of the city of Montreal, Canada, taken from the International Space Station (ISS). The new measures are shown to converge with in-person assessed NTL and to predict known child health-related outcomes. Specifically, the results suggest that ISS-assessed blue NTL is associated with feelings of safety and self-reported health. In conclusion, ISS-based measures of NTL, particularly of blue NTL, are valid indicators of intra-urban variation in NTL for applications in public health. Limitations of, and future directions for, the method are discussed.

Adapting sleep hygiene for community interventions: a qualitative investigation of sleep hygiene behaviors among racially/ethnically diverse, low-income adults

BACKGROUND

Despite the high prevalence of inadequate sleep in racially/ethnically diverse, low-income adults, there is scant research targeting sleep health interventions among underserved populations. Sleep hygiene (SH) recommendations may help promote sleep health for the general population; however, they likely require tailoring to optimize uptake and effectiveness in the "real world" given socio-contextual factors. As an initial step to developing contextually appropriate and effective community-based SH interventions, we conducted qualitative research to understand SH behaviors, beliefs, and barriers in a low-income, ethnically diverse sample of adults.

METHODS

We recruited 24 racially/ethnically diverse adults from an affordable housing community who self-reported sleeping ≤6 hours on average. Participants were invited to either an individual interview (n = 5) or a focus group (n = 3). A deductive, thematic-analysis approach was employed. Data collection and interpretation were informed by the Socio-Contextual Model of Behavior Change.

RESULTS

There was evidence of high acceptability of SH and interest in improving sleep health. Barriers to implementing SH were multifaceted, including individual (knowledge, motivation, habits, medical issues, stress, trauma), interpersonal (caregiving), organizational (job strain), and environmental (noise) factors.

CONCLUSIONS

Future strategies for adapting behavioral SH interventions should target knowledge, skill development, and behavioral change domains, such as motivation, social support, and self-efficacy. In addition, adapting SH beyond the clinical context for a high-need community population requires attention to multilevel sociocontextual factors that contribute to sleep health, particularly chronic stress, prior trauma, and adverse sleeping environments. Development of novel trauma-informed SH interventions may promote effective and safe implementation.

Neighborhood disadvantage is associated with actigraphy-assessed sleep continuity and short sleep duration

Study Objectives

Neighborhood disadvantage has been linked to poor sleep. However, the extant research has primarily focused on self-reported assessments of sleep and neighborhood characteristics. The current study examines the association between objective and perceived neighborhood characteristics and actigraphy-assessed sleep duration, efficiency, and wakefulness after sleep onset (WASO) in an urban sample of African American adults.

Methods

We examined data from predominantly African American adults (n = 788, mean age 55 years; 77% female) living in two low-income neighborhoods. Perceived neighborhood characteristics included safety, social cohesion, and satisfaction with one's neighborhood as a place to live. Objective neighborhood conditions included walkability, disorder, street lighting, and crime levels. Sleep duration, efficiency, and WASO were measured via 7 days of wrist-worn actigraphy. Analyses estimated each of the sleep outcomes as a function of perceived and objective neighborhood characteristics. Individual-level sociodemographics, body mass index, and psychological distress were included as covariates.

Results

Greater perceived safety was associated with higher sleep efficiency and shorter WASO. Greater neighborhood disorder and street lighting were associated with poorer sleep efficiency and longer WASO and greater likelihood of short sleep duration (<7 versus 7-9 hr as referent). Higher levels of crime were associated with poorer sleep efficiency and longer WASO, but these associations were only evident in one of the neighborhoods.

Conclusions

Both how residents perceive their neighborhood and their exposure to objectively measured neighborhood disorder, lighting, and crime have implications for sleep continuity. These findings suggest that neighborhood conditions may contribute to disparities in sleep health.

Perceived school safety, perceived neighborhood safety, and insufficient sleep among adolescents

OBJECTIVES

To examine whether perceptions of school safety and neighborhood safety are associated with insufficient sleep during adolescence.

DESIGN

The Florida Youth Substance Abuse Survey (FYSAS) is a cross-sectional study of adolescents.

SETTING

The state of Florida.

PARTICIPANTS

Middle-school and high-school students (n = 7,958) attending public schools in 2017.

MEASUREMENTS

Based on National Sleep Foundation recommendations, sleep was categorized as insufficient (less than 7 hours) or sufficient (7 or more hours) using self-reports of average sleep duration on school nights. Self-reports of perceived safety at school and perceived safety in one's neighborhood were modeled as predictors of insufficient sleep in logistic regression models when accounting for several covariates.

RESULTS

Adjusting for model covariates, the odds of insufficient sleep among adolescents who feel unsafe both at school and in their neighborhood are 129% greater relative to adolescents who feel safe in both contexts. In comparison, the odds of insufficient sleep among adolescents who feel unsafe only at school are 39% greater relative to adolescents who feel safe both at school and in their neighborhood, and the odds of insufficient sleep among adolescents who feel unsafe only in their neighborhood are 71% greater relative to adolescents who feel safe both at school and in their neighborhood.

CONCLUSIONS

The findings of this study indicate that efforts to improve the safety of salient social contexts in which adolescents develop may reduce the likelihood of insufficient sleep faced by a large portion of school-aged children.

Neighborhood socioeconomic status, sleep duration, and napping in middle-to-old aged US men and women

Study Objectives

Earlier studies have linked neighborhood disadvantage with poor sleep outcomes. However, little is known about the association between changes in one's neighborhood over time and night sleep and napping. In over 300000 middle-to-old aged Americans, we examined neighborhood socioeconomic status (SES) and change in neighborhood SES in relation to nocturnal sleep duration and napping.

Methods

Nocturnal sleep duration and daytime napping were self-reported at baseline (1995-1996). Participants also reported baseline residential addresses, which were linked to US censuses. We derived a neighborhood SES index using census variables and calculated the baseline level and change (1990-2000) in neighborhood SES. Multinomial logistic regression was used to estimate the associations between neighborhood SES over time and nocturnal sleep and napping.

Results

Lower baseline neighborhood SES was associated with short sleep, long sleep, and napping. When compared with the highest quintile of neighborhood SES, the lowest was associated with 46% and 72% increase in relative risk (RR) of reporting very short (< 5 hours) sleep, 28% and 19% higher RR of long (≥9 hours) sleep and 95% and 85% increase in long (≥1 hours) nap in men and women, respectively. Moreover, a decrease in neighborhood SES was associated with higher RR of reporting very short sleep in women; while an improvement in neighborhood SES was associated with an increase in RR of long sleep in men.

Conclusions

Neighborhood disadvantage and worsening neighborhood conditions were associated with unhealthy sleep behaviors. These results reinforce a growing literature on the potential importance of neighborhood context for understanding sleep health.

Pathways through which higher neighborhood crime is longitudinally associated with greater body mass index

BACKGROUND

Although crime and perceived safety are associated with obesity and body mass index (BMI), the pathways are less clear. Two likely pathways by which crime and perceived safety may impact obesity are through distress and physical activity.

METHODS

We examined data from 2013 to 2014 for 644 predominantly African-American adults (mean age 57 years; 77% female) living in low-income Pittsburgh, PA neighborhoods, including self-reported perceptions of safety and emotional distress, interviewer-measured height/weight, and physical activity measured via accelerometry. We used secondary data on neighborhood crime from 2011 to 2013. We built a structural equation model to examine the longitudinal direct and indirect pathways from crime to BMI through perceived safety, distress and physical activity.

RESULTS

Long-term exposure to crime was positively associated with lack of perceived safety (β = 0.11, p = 0.005) and lack of perceived safety was positively associated with BMI (β = 0.08, p = 0.03). The beneficial association between physical activity and BMI (β = -0.15, p < 0.001) was attenuated by a negative association between crime and physical activity (β = -0.09, p = 0.01). Although crime was associated with distress we found no evidence of a path from crime to BMI via distress.

CONCLUSIONS

Our findings suggest decrements in perceived safety and physical activity are important processes that might explain why neighborhood crime is associated with greater BMI.