Environmental Risk and Adverse Perinatal Health Indicators in New York City
A Geospatial Hotspot Analysis
Bibliographic Data
| ID | 12474010 |
|---|---|
| Authors | Alexis R Grayon (0000-0002-9788-509X, New York University, corresponding author), Linda G Kahn (0000-0002-6512-6160, New York University), Leonardo Trasande (0000-0002-1928-597X, New York University), David C Lee (0000-0002-7202-1893, New York University), David J Lee (0000-0002-5847-0836, New York University), Carol Duh-Leong (New York University), Carol Duh‐Leong (0000-0001-5648-580X) |
| Year | 2026 |
| Volume | 103 |
| Issue | 2 |
| Pages | 244-255 |
| Publication date | 2026-03-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Urban Health (JOURNAL) |
| Journal identifiers | ISSN: 1099-3460 • E-ISSN: 1468-2869 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11524-026-01060-8 |
| PMID | 41860668 |
| OpenAlex | W7139071809 |
| Language | EN |
| References cited | 31 |
Environmental exposures can have adverse associations with perinatal health and birth outcomes. This study aimed to identify the overlap and association between urban areas of environmental risk and adverse perinatal health indicator hotspots in New York City. We examined 2101 census tracts representing 575,257 births from 2016 to 2020 recorded by the New York City Bureau of Vital Statistics looking at preterm birth, adolescent pregnancy, and pre-pregnancy obesity rates. The Getis-Ord Gi* statistic was used to identify geospatial hotspots of adverse indicators. We used multivariable logistic regression to assess associations between areas of environmental risk and odds of indicator hotspot status and Poisson regression to assess associations of hotspot overlap. Overall, 54.6% of environmental risk areas were hotspots for at least one adverse perinatal indicator, accounting for 63.7% of preterm birth hotspots, 93.7% of adolescent pregnancy hotspots, and 67.3% of pre-pregnancy obesity hotspots. Compared with non-risk areas, risk areas had greater odds of being a hotspot of preterm birth (aOR = 2.11; 95% CI 1.60-2.78), adolescent pregnancy (aOR = 32.8; 21.8-49.4), and pre-pregnancy obesity (aOR = 3.15; 2.56-3.87). Environmental risk areas were expected to have 3.36 times the number of overlapping hotspots after adjusting for parental birthplace and parity. The overlap between environmental risk areas and hotspots of adverse perinatal health indicators and the associations with individual indicators and overlapping hotspots suggest that environmental risk area designation may be a useful measure of perinatal health vulnerability for targeted community interventions
Environmental epidemiology · Geospatial analysis · Hotspot (geology · Logistic regression · Obesity · Odds · Odds ratio · Poisson regression · Public health · Climate Change and Health Impacts · Environmental Justice and Health Disparities · Health, Environment, Cognitive Aging
The 2023 report of the Lancet Countdown on health and climate change
The Analysis of Spatial Association by Use of Distance Statistics
Environmental Toxicants and Preterm Birth
Birth Outcomes among Descendants of Foreign-Born and US-Born Women in California
Application of the Social Vulnerability Index for Identifying Teen Pregnancy Intervention Need in the United States
Spatial Analysis of Preterm Birth Demonstrates Opportunities for Targeted Intervention
Redlining in New York City
Structural Racism, Historical Redlining, and Risk of Preterm Birth in New York City, 2013–2017
Neighborhood Contributions to Racial and Ethnic Disparities in Obesity Among New York City Adults
Spatially varying predictors of teenage birth rates among counties in the United States
| Citation velocity | historical |
|---|---|
| Highly cited | No |