A descriptive examination of rurality in the Environmental influences on Child Health Outcomes Cohort: Implications, illustrations, and future directions.

Purpose: The Environmental influences on Child Health Outcomes (ECHO) Cohort has enrolled over 60,000 children to examine how early environmental factors (broadly defined) are associated with key child health outcomes. The ECHO Cohort may be well-positioned to contribute to our understanding of rural environments and contexts, which has implications for rural health disparities research. The present study examined the outcome of child obesity to not only illustrate the suitability of ECHO Cohort data for these purposes but also determine how various definitions of rural and urban populations impact the presentation of findings and their interpretation.

Caring for Patients Seeking Asylum: Early Data From the Safety Net System in New York City.

Context: Over 200 000 people seeking asylum have arrived in New York City from 2022 to 2024.

Program: As the safety net hospital system for our city, New York City (NYC) Health + Hospitals (H + H) has taken the lead in caring for newly arrived asylum seekers. We used electronic medical record data to gain early insights into utilization and needs among these patients.

Extending the Environmental influences on Child Health Outcomes (ECHO) Cohort through 2030: Rationale and study protocol.

Early life environmental exposures, even those experienced before conception, can shape health and disease trajectories across the lifespan. Optimizing the detection of the constellation of exposure effects on a broad range of child health outcomes across development requires considerable sample size, transdisciplinary expertise, and developmentally sensitive and dimensional measurement. To address this, the National Institutes of Health (NIH) Environmental influences on Child Health Outcomes (ECHO) Cohort Study is an observational longitudinal pediatric cohort study.

Performance of fine particulate matter data on air quality in an epidemiological study in Salvador, Brazil.

Objective: To evaluate the performance of satellite-derived PM2.5 concentrations against ground-based measurements in the municipality of Salvador (state of Bahia, Brazil) and the implications of these estimations for the associations of PM2.5 with daily non-accidental mortality.

Increased risk of autism in extremely preterm children with a history of retinopathy of prematurity.

Aim: To investigate the association between retinopathy of prematurity and autism spectrum disorder in extremely preterm children.

Methods: Data in children born extremely preterm at <28 weeks' gestational age in the Region Västra Götaland, 2013-2017, were analysed for association between retinopathy of prematurity and neurodevelopmental disorders. We focussed on autism spectrum disorder and excluded children with perinatal brain injuries or genetic disorders.