Evidence map›Paper›PMID 35564502›Full record

ArticleInternational journal of environmental research and public health2022

Overflowing Disparities: Examining the Availability of Litter Bins in New York City.

Nadav L Sprague, Ariana N Gobaud, Christina A Mehranbod, Christopher N Morrison, Charles C Branas, Ahuva L Jacobowitz

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nadav L SpragueDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-9698-9962
Ariana N GobaudDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-9582-7232
Christina A MehranbodDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.ORCID 0000-0003-1235-3252
Christopher N MorrisonDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Charles C BranasDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Ahuva L JacobowitzDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.

Funding

Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
CE19-001, The Columbia Center for Injury Science and Prevention (CCISP)R49CE003094 · CE · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRANAS, CHARLES C. · 2018 to 2023
$4.3M
NCIPC CDC HHS R49 CE003094NIEHS NIH HHS T32 ES007322
6 · The paper itself

Abstract

In the 1980s, activists' concerns about the disproportionate placements of landfills in low-income communities ignited the environmental justice movement. Today, similar issues of environmental injustice-the limited availability of litter bins across New York City (NYC) neighborhoods-remain unresolved. This study examines the association between NYC neighborhood income and litter bin availability. The NYC Department of Sanitation 2020 Litter Bin Inventory and archival measures of neighborhood composition and socioeconomic status were aggregated within NYC census tract neighborhoods. Multilevel Bayesian conditional autoregressive Poisson models estimated the prevalence rate ratio for counts of litter bins according to median household income in each census tract, accounting for spatial autocorrelation. Bivariate associations identified that census tracts with higher median household income had a greater prevalence of litter bins than census tracts with lower median household income; however, spatial autocorrelation attenuated the relationship between median household income and availability of litter bins. Further research is necessary to identify the spatially structured condition that accounted for the observed effect. The results warrant further investigation of both perceived and actual disparities in litter bin availability.

Indexed as

IncomeResidence CharacteristicsBayes TheoremNew York CitySocial ClassSocioeconomic Factorsdebrisenvironmental health disparitiesenvironmental justicetrashurban healthwaste management

Identifiers

PMID35564502
PMCPMC9103464

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.