Neighborhood-Level Lead Paint Hazard for Children under 6: A Tool for Proactive and Equitable Intervention

Place-Based Child Opportunity at Birth and Child Development from Infancy to Age 4

OBJECTIVE

The objective of this study was to evaluate whether the children's neighborhood quality, as a measure of place-based social determinants of health, is associated with the odds of developmental delay and developmental performance up to the age of 4 years.

STUDY DESIGN

Mothers of 5702 children from the Upstate KIDS Study, a longitudinal population-based cohort of children born from 2008 through 2010, provided questionnaire data and a subset of 573 children participated in a clinic visit. The Child Opportunity Index 2.0 was linked to home census tract at birth. Probable developmental delays were assessed by the Ages and Stages Questionnaire up to 7 times between 4 and 36 months, and developmental performance was assessed via the Battelle Developmental Inventory at the age of 4 years.

RESULTS

In unadjusted models, higher neighborhood opportunity was protective against developmental delays and was associated with slightly higher development scores at age 4. After adjusting for family-level confounding variables, 10-point higher Child Opportunity Index (on a 100-point scale) remained associated with a lower odds of any developmental delay (OR = .966, 95% CI = .940-.992), and specifically delays in the personal-social domain (OR = .921, 95% CI = .886-.958), as well as better development performance in motor (B = 0.79, 95% CI = 0.11-1.48), personal-social (B = 0.64, 95% CI = 0.003-1.28), and adaptive (B = 0.69, 95% CI = 0.04-1.34) domains at age 4.

CONCLUSIONS

Community-level opportunities are associated with some aspects of child development prior to school entry. Pediatric providers may find it helpful to use neighborhood quality as an indicator to inform targeted developmental screening.

Methods in Public Health Environmental Justice Research: a Scoping Review from 2018 to 2021

PURPOSE OF REVIEW

The volume of public health environmental justice (EJ) research produced by academic institutions increased through 2022. However, the methods used for evaluating EJ in exposure science and epidemiologic studies have not been catalogued. Here, we completed a scoping review of EJ studies published in 19 environmental science and epidemiologic journals from 2018 to 2021 to summarize research types, frameworks, and methods.

RECENT FINDINGS

We identified 402 articles that included populations with health disparities as a part of EJ research question and met other inclusion criteria. Most studies (60%) evaluated EJ questions related to socioeconomic status (SES) or race/ethnicity. EJ studies took place in 69 countries, led by the US (n = 246 [61%]). Only 50% of studies explicitly described a theoretical EJ framework in the background, methods, or discussion and just 10% explicitly stated a framework in all three sections. Among exposure studies, the most common area-level exposure was air pollution (40%), whereas chemicals predominated personal exposure studies (35%). Overall, the most common method used for exposure-only EJ analyses was main effect regression modeling (50%); for epidemiologic studies the most common method was effect modification (58%), where an analysis evaluated a health disparity variable as an effect modifier. Based on the results of this scoping review, current methods in public health EJ studies could be bolstered by integrating expertise from other fields (e.g., sociology), conducting community-based participatory research and intervention studies, and using more rigorous, theory-based, and solution-oriented statistical research methods.

Linking Urban Planning, Community Environment, and Physical Activity: A Socio-Ecological Approach

Lack of physical activity is a growing concern among public health advocates and urban planners. Our socio-ecological model incorporates urban planning and World Health Organization actions on physical activity to identify key factors related to leisure-time physical activity at the community level. Our 2019 nationwide US survey of 1312 communities enables examination of the influence of individual, community, and policy levels on physical activity. Individual factors-poverty, aging, minority population, and longer commuting time-result in lower physical activity. Community-level factors have both positive and negative effects. Physical activity is lower in rural and suburban communities, but higher in communities with more transportation services, recreation and social activities, and safety. Communities with mixed-use neighborhoods and complete streets also show higher levels of physical activity. At the policy level, zoning and cross-agency collaboration have an indirect effect on physical activity by increasing these community-level factors. This suggests an alternative approach to promoting physical activity. Local governments can promote transportation, recreation and safety, especially in rural and minority communities lacking active-friendly built environments and facing challenges from aging population, poverty, and longer commuting time. This socio-ecological approach can assess multilevel factors related to physical activity in other countries.

Using exterior housing conditions to predict elevated pediatric blood lead levels

Housing-based lead paint dust is the most common source of lead exposure for US-born children. Although year of housing construction is a critical indicator of the lead hazard to US children, not all housing of the same age poses the same risk to children. Additional information about housing condition is required to differentiate the housing-based lead risk at the parcel level. This study aimed to identify and assess a method for gathering and using observations of exterior housing conditions to identify active housing-based lead hazards at the parcel level. We used a dataset of pediatric blood lead observations (sample years 2000-2013, ages 6-72 months, n = 6,589) to assess associations between observations of exterior housing conditions and housing-based lead risk. We used graphical and Lasso regression methods to estimate the likelihood of an elevated blood lead observation (≥3.5 μg/dL). Our methods estimate a monotonic increase in the likelihood of an elevated blood lead observation as housing conditions deteriorate with the largest changes associated with homes in the greatest disrepair. Additionally we estimate that age of home construction works in consort with housing conditions to amplify risks among those houses built before 1952. Our analysis indicates that a survey of external housing conditions can be used in combination with age of housing in the identification process, at the parcel level, of homes that pose a housing-based lead hazard to children.