Evidence map›Paper›PMID 37646509›Full record

ArticleEnvironmental health perspectives2023

Geospatial Assessment of Racial/Ethnic Composition, Social Vulnerability, and Lead Water Service Lines in New York City.

Anne E Nigra, Wil Lieberman-Cribbin, Benjamín C Bostick, Steven N Chillrud, Daniel Carrión

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Environmental Risk and Adverse Perinatal Health Indicators in New York City: A Geospatial Hotspot Analysis.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  3. Article
  4. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Anne E NigraDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.ORCID 0000-0002-5033-0345
Wil Lieberman-CribbinDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.
Benjamín C BostickLamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA.
Steven N ChillrudLamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA.
Daniel CarriónDepartment of Environmental Health Sciences, Yale University School of Public Health, New Haven, Connecticut, USA.
Columbia University · USLamont-Doherty Earth Observatory · USYale University · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Development CoreP2CHD058486 · NICHD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Jennifer S Hirsch, Julien O Teitler · 2014 to 2026
$4.3M
Public Drinking Water Contaminants and Infant Health: Advancing Environmental JusticeDP5OD031849 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NIGRA, ANNE E · 2021 to 2025
$2.0M
NICHD NIH HHS P2C HD058486NIEHS NIH HHS P30 ES009089NIH HHS DP5 OD031849
6 · The paper itself

Abstract

backgroundThe state of New York expects to receive

objectivesOur objective was to determine the number and proportion of potential lead water service lines across New York City (NYC) and to evaluate the association between census tract-level racial/ethnic composition, housing vulnerability, and child lead exposure vulnerability with service line type (Potential Lead, Unknown) for

methodsWe conducted a descriptive analysis assessing water service line material recorded in the NYC Department of Environmental Protection's Lead Service Line Location Coordinates database. We used conditional autoregressive Bayesian Poisson models to assess the relative risk [RR; median posterior estimates, and 95% credible interval (CrI)] of service line type per 20% higher proportion of residents in a given racial/ethnic group and per higher housing vulnerability and child lead exposure vulnerability index scores corresponding to the interquartile range. We also evaluated the associations in flexible natural cubic spline models.

resultsOut of 854,672 residential service line records, 136,891 (16.0%) were Potential Lead, and 227,443 (26.6%) were Unknown. In fully adjusted models, higher proportions of Hispanic/Latino residents and higher child lead exposure vulnerability were associated with Potential Lead service lines in flexible spline models and linear models [ DISCUSSION: NYC has a high number of Potential Lead and Unknown water service lines. Communities with a high proportion of Hispanic/Latino residents and those with children who are already highly vulnerable to lead exposures from numerous sources are disproportionately impacted by Potential Lead service lines. These findings can inform equitable service line replacement across New York state and NYC. https://doi.org/10.1289/EHP12276.

Indexed as

LeadSocial VulnerabilityBayes TheoremChildHumansNew York CityWaterLeadWater

Identifiers

PMID37646509
PMCPMC10467360
OpenAlexW4386272540

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.