Unpacking Neighborhood Socioeconomic Status in Children's Health Research from an Environmental Justice Perspective: A Scoping Review.

PURPOSE OF REVIEW: Clearly defining and measuring neighborhood socioeconomic status (nSES) is a key first step in achieving environmental justice, as the disproportionate distribution of environmental hazards and access to resources is heavily influenced by socioeconomic factors. This scoping review explores the definition of neighborhoods, measurement of neighborhood socioeconomic status (nSES), and studies that evaluated the association between nSES and child health in accordance with PRISMA guidelines. RECENT FINDINGS: We identified 4112 articles published on US pediatric populations between 2013 and 2022. We identified 170 distinct indicators across seven broad domains of nSES used to create 121 different measures of nSES across the 206 publications included in this review. While there is considerable interest in nSES and children's health, there is also substantial variation in the measurement of neighborhood as a geographic unit and nSES as a construct. We observed methodological challenges related to the identification of neighborhood boundaries, indicator selection, and nSES measure definition(s). We discuss common pitfalls in neighborhood research that can complicate identifying, targeting, and resolving environmental injustices. Lastly, we put forward a series of recommendations to reduce measurement error and improve inference, in addition to reporting recommendations for neighborhoods and health research that can aid in improving our understanding of pathways between neighborhood context and child health, inform policy development, and allocate resources to achieve environmental justice.

Developing a National-Scale Exposure Index for Combined Environmental Hazards and Social Stressors and Applications to the Environmental Influences on Child Health Outcomes (ECHO) Cohort.

Tools for assessing multiple exposures across several domains (e.g., physical, chemical, and social) are of growing importance in social and environmental epidemiology because of their value in uncovering disparities and their impact on health outcomes. Here we describe work done within the Environmental influences on Child Health Outcomes (ECHO)-wide Cohort Study to build a combined exposure index. Our index considered both environmental hazards and social stressors simultaneously with national coverage for a 10-year period. Our goal was to build this index and demonstrate its utility for assessing differences in exposure for pregnancies enrolled in the ECHO-wide Cohort Study. Our unitless combined exposure index, which collapses census-tract level data into a single relative measure of exposure ranging from 0-1 (where higher values indicate higher exposure to hazards), includes indicators for major air pollutants and air toxics, features of the built environment, traffic exposures, and social determinants of health (e.g., lower educational attainment) drawn from existing data sources. We observed temporal and geographic variations in index values, with exposures being highest among participants living in the West and Northeast regions. Pregnant people who identified as Black or Hispanic (of any race) were at higher risk of living in a "high" exposure census tract (defined as an index value above 0.5) relative to those who identified as White or non-Hispanic. Index values were also higher for pregnant people with lower educational attainment. Several recommendations follow from our work, including that environmental and social stressor datasets with higher spatial and temporal resolutions are needed to ensure index-based tools fully capture the total environmental context.

Injury and Illness Surveillance of U.S. Agricultural Workers: Assessment of Recommendations and Actions.

Agriculture remains one of America's oldest and most valued industries, but is also one of the most hazardous, with farmworkers experiencing high rates of injuries and illnesses. The National Institute for Occupational Safety and Health's (NIOSH) Agriculture, Forestry and Fishing (AgFF) Program provides leadership to prevent harm to workers in the three named sectors. Since its inception, the AgFF Program has spearheaded numerous surveillance initiatives to understand the magnitude of injuries and illnesses among agricultural worker populations, identify vulnerable groups, and evaluate the effectiveness of intervention measures. In 2012, the program underwent a review from an independent panel convened to evaluate progress in program relevance and impact. While the panel offered a number of recommendations for improving surveillance, it provided little guidance on how to prioritize and achieve the recommendations. In 2015, NIOSH asked the RAND Corporation to assess options for action in response to panel recommendations. The goal of this study is to provide NIOSH with a practical assessment of the feasibility and desirability of carrying out actions to meet surveillance-related panel recommendations, given current AgFF Program resources and priorities. The authors conducted literature reviews and targeted interviews to detail how actions could be implemented and identify barriers to their achievement. For each action, the authors applied criteria relevant to assessing feasibility (costs, partnership engagement, information availability and accessibility, policy barriers, timelines) and desirability (relevance to program priorities, information quality, and impact). Overall, the study identifies a number of actions that balanced both feasibility and desirability for NIOSH to consider as it determines the direction of the AgFF Program.

Association between mental health conditions diagnosed during initial eligibility for military health care benefits and subsequent deployment, attrition, and death by suicide among active duty service members.

OBJECTIVE: To examine incidence of mental health diagnoses during initial service of U.S. active duty military members and identify associations with deployment, attrition, and suicide. METHODS: A retrospective cohort of 576,502 service members (SMs) newly enlisted between 2003 and 2006 was identified. Data included medical encounter, deployment and attrition, and suicide. Multivariable logistic regression models examine the association between mental health diagnoses coded within the SMs' first 6 months of eligibility for health care benefits and deployment. Multivariable Cox proportional hazards models quantify the association between mental health diagnoses and attrition and suicide. RESULTS: The cumulative incidence of mental health diagnoses was approximately 9% at 6 months of service. Adjustment, depressive, and anxiety disorders were most common. Those with any mental health diagnosis during initial eligibility had increased risk of early attrition and were 77% less likely to deploy. Early mental health diagnoses were not statistically significantly associated with death by suicide. CONCLUSION: Mental health diagnoses during initial eligibility are common and associated with reduced odds of deployment and increased risk of early attrition. Policies designed to either retain or discharge SMs with a mental health diagnosis identified during initial training merit close examination in light of these findings.