High-Risk Neighborhoods and Neurodevelopmental Outcomes in Infants Born Preterm.

OBJECTIVE: To study the association between neighborhood risk and moderate to severe neurodevelopmental impairment (NDI) at 22-26 months corrected age in children born at <34 weeks of gestation. We hypothesized that infants born preterm living in high-risk neighborhoods would have a greater risk of NDI and cognitive, motor, and language delays. STUDY DESIGN: We studied a retrospective cohort of 1291 infants born preterm between 2005 and 2016, excluding infants with congenital anomalies. NDI was defined as any one of the following: a Bayley Scales of Infant and Toddler Development-III Cognitive or Motor composite score <85, bilateral blindness, bilateral hearing impairment, or moderate-severe cerebral palsy. Maternal addresses were geocoded to identify census block groups and create high-risk versus low-risk neighborhood groups. Bivariate and regression analyses were run to assess the impact of neighborhood risk on outcomes. RESULTS: Infants from high-risk (n = 538; 42%) and low-risk (n = 753; 58%) neighborhoods were compared. In bivariate analyses, the risk of NDI and cognitive, motor, and language delays was greater in high-risk neighborhoods. In adjusted regression models, the risks of NDI (OR, 1.43; 95% CI, 1.04-1.98), cognitive delay (OR, 1.62; 95% CI, 1.15-2.28), and language delay (OR, 1.58; 95% CI, 1.15-2.16) were greater in high-risk neighborhoods. Breast milk at discharge was more common in low-risk neighborhoods and was protective of NDI in regression analysis. CONCLUSIONS: High neighborhood risk provides an independent contribution to preterm adverse NDI, cognitive, and language outcomes. In addition, breast milk at discharge was protective. Knowledge of neighborhood risk may inform the targeted implementation of programs for socially disadvantaged infants.

Neighborhood Inequality and Emergency Department Use in Neonatal Intensive Care Unit Graduates.

Neonatal intensive care unit graduates residing in high-risk neighborhoods were at increased risk of emergency department use and had higher rates of social/environmental risk factors. Distances to primary care provider and emergency department did not contribute to emergency department use. Knowledge of neighborhood risk is important for preventative service reform.

Neighborhood Risk and Hospital Use for Pediatric Asthma, Rhode Island, 2005-2014.

INTRODUCTION: Studies consistently show that children living in poor neighborhoods have worse asthma outcomes. The objective of our study was to assess the association between negative neighborhood factors (ie, neighborhood risk) and pediatric asthma hospital use. METHODS: This retrospective study used data from children aged 2 to 17 years in a statewide (Rhode Island) hospital network administrative database linked to US Census Bureau data. We defined an asthma visit as an International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code of 493 in any diagnosis field. We used 8 highly correlated measures for each census-block group to construct an index of neighborhood risk. We used maps and linear regression to assess the association of neighborhood risk with average annual census-block-group rates of asthma emergency department visits and hospitalizations. We used multivariable analyses to identify child characteristics and neighborhood risk associated with an asthma revisit, accounting for the child's sociodemographic information, season, and multiple measurements per child. RESULTS: From 2005 through 2014, we counted 359,195 visits for 146,889 children. Of these, 12,699 children (8.6%) had one or more asthma visits. Linear regression results showed 1.18 (95% confidence interval, 1.06-1.30) more average annual emergency departments visits per 100 children and 0.41 (95% confidence interval, 0.34-0.47) more average annual hospitalizations per 100 children in neighborhoods in the highest-risk index quintile than in neighborhoods in the lowest-risk index quintile. CONCLUSION: Interventions to improve asthma outcomes among children should move beyond primary care or clinic settings and involve a careful evaluation of social context and environmental triggers.

A Spatial Analysis of the Food Environment and Overweight and Obesity Among Rhode Island Youth.

BACKGROUND: This study examined how proximity to food sources differed at the block group and town level, stratified by socioeconomic risk, and how the average distance to a food source was associated with child overweight and obesity rates in Rhode Island. METHODS: Eight correlated variables from the 2014-2018 American Community Survey were used to measure high and low socioeconomic risk at the block group and town level. Linear regression models were used to assess the association between mean driving distance to food sources and prevalence of child overweight and obesity. RESULTS: All food sources were closer to residences in the high-risk group than the low-risk group at the block group and town level. Convenience stores, sit-down restaurants, and snack and beverage stores showed the largest associations with prevalence of overweight and obesity. CONCLUSION: Efforts to better understand the food environment are needed to address overweight and obesity among youth.

Neighborhood Risk Factors for Pediatric Fall-Related Injuries: A Retrospective Analysis of a Statewide Hospital Network.

BACKGROUND: Falls represent the leading cause of nonfatal unintentional injuries among children in the United States. Although unintentional injury risks have been studied, neighborhood impact on falls remains underexplored. This study examined the association of neighborhood attributes with rates of fall-related injuries. METHODS: This is a retrospective study of children who presented to emergency departments within a statewide hospital network for fall-related injuries between 2005 and 2014. Patients' home addresses were geocoded to identify US Census block groups (BGs). Average annual fall rates were computed for each BG. A neighborhood risk index was constructed using 8 socioeconomic BG measures (education, crowding, vacancy, renter occupancy, poverty, family structure, race/ethnicity, and housing age). Public outdoor recreational facilities in each BG were enumerated. Linear regression analysis was used to assess the association of neighborhood risk and recreational facilities with fall rates. RESULTS: From 2005 to 2014, there were 139,986 unintentional injury emergency department visits; of these, 42,691 (30%) were for falls. The largest proportion of falls were among males (58%), children ages 1 to 4 years (39%), non-Hispanic whites (59%), and children with public health insurance (53%). Higher quintiles of neighborhood risk were associated with higher annual fall rates compared to the lowest quintile of risk: quintile 2, ß = 0.44, 95% confidence interval (CI), 0.20-0.68; quintile 3, ß = 0.85, 95% CI, 0.61-1.10; quintile 4, ß = 1.11, 95% CI, 0.85-1.37; quintile 5, ß = 1.57, 95% CI, 1.29-1.85. The presence of public outdoor recreational facilities was not associated with fall rates (ß = 0.01; 95% CI, -0.14 to 0.15). CONCLUSION: Neighborhood-level socioeconomic characteristics are associated with higher fall-related injuries. Injury prevention programs could be tailored to address these neighborhood risks.

Characteristics of Older Adults on Waiting Lists for Meals on Wheels: Identifying Areas for Intervention.

The purpose of this study was to characterize the population of seniors on Meals on Wheels' (MOW) waiting lists and identify their rate of depression, anxiety, falls, and fear of falling. Data come from surveys of 626 seniors on waiting lists across the country and the 2013 National Health and Aging Trends Study (NHATS). Results suggest that seniors on waiting lists for MOW were more likely to be widowed, less educated, older, Black, Hispanic, and receive Medicaid than the population of community-dwelling older adults. In addition, 31% of seniors on MOW waiting lists were depressed, compared with 12% of seniors in the national population ( p < .001), and 28% exhibited signs and symptoms of anxiety, compared with 10% of the national population of seniors ( p < .001). Seniors on waiting lists were significantly more likely to have fallen in the last month and be fearful of falling than the national population of seniors ( p < .001). Individuals on MOW waiting lists are a vulnerable and high-risk group. By seeking to better understand clients' needs, appropriate services can be tailored to promote independent living and improve older adults' well-being.