Evidence map›Paper›PMID 34695430›Full record

ArticleEnvironmental research2022

Noise complaint patterns in New York City from January 2010 through February 2021: Socioeconomic disparities and COVID-19 exacerbations.

Bruce Ramphal, Jordan D Dworkin, David Pagliaccio, Amy E Margolis

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Evaluating the environmental justice dimensions of odor in Denver, Colorado.Journal of exposure science & environmental epidemiology · 2026
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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

4 authors at 1 institution in 1 country.

Bruce RamphalNew York State Psychiatric Institute and Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, United States. Electronic address: bruceramphal@hms.harvard.edu.
Jordan D DworkinNew York State Psychiatric Institute and Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, United States.
David PagliaccioNew York State Psychiatric Institute and Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, United States.
Amy E MargolisNew York State Psychiatric Institute and Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, United States.
Columbia University · US

Funding

Environmental bisphenol exposure, infant brain and behavior: Human and animal modelsR01ES030950 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VEENSTRA-VANDERWEELE, JEREMY · 2020 to 2023
$2.6M
Prenatal Exposure to Environmental Tobacco Smoke, COVID-19- Related Psychosocial Stress, and Neurodevelopment.K23ES026239 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARGOLIS, AMY · 2016 to 2021
$767k
NIEHS NIH HHS K23 ES026239NIEHS NIH HHS R01 ES030950
6 · The paper itself

Abstract

backgroundExcessive environmental noise exposure and noise annoyance have been linked to adverse physical and mental health outcomes. Although socioeconomic disparities in acoustically measured and geospatially estimated noise have been established, less is known about disparities in noise complaints, one of the most common sources of distress reported to local municipalities. Furthermore, although some studies have posited urban quieting during the COVID-19 pandemic, little empirical work has probed this and probed noise complaints during the pandemic.

objectivesUsing over 4 million noise complaints from the New York City (NYC) 311 database, we quantified census tract-level socioeconomic disparities in noise complaints since 2010 and examined how such disparities changed during the COVID-19 pandemic.

methodsUsing data from January 2010 through February 2020, we fit linear mixed-effects models, estimating monthly tract-level noise complaints by the proportion of residents who were low-income, time in months since January 2010, categorical month, their interactions, and potential confounds, such as total population and population density. To estimate COVID-19 pandemic effects, we included additional data from March 2020 through February 2021 and additional interactions between proportion low-income, month of year, and an indicator variable for COVID-19 pandemic onset in March 2020.

resultsCensus tracts with a higher proportion of low-income residents reported more monthly noise complaints and this increased over time (time × month × proportion low-income interaction p-values < .0001 for all months), particularly in warmer months. Socioeconomic disparities in noise complaints were exacerbated during the COVID-19 pandemic (month × proportion low-income × pandemic era interaction p-values < .0001 for March through November), also in a seasonal manner. DISCUSSION: Since 2010, noise complaints have increased the most in the most economically distressed communities, particularly in warmer seasons. This disparity was particularly exacerbated during the COVID-19 pandemic, contrary to some theories of urban quieting. Community-based interventions to ameliorate noise and noise annoyance, both public health hazards, are needed in underserved communities.

Indexed as

COVID-19HumansNew York CityPandemicsPovertySARS-CoV-2Socioeconomic FactorsCOVID-19 pandemicNoiseNoise annoyanceNoise complaintsSocioeconomic status

Identifiers

PMID34695430
PMCPMC8838876
OpenAlexW3210867709

What OpenQuestion holds

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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.