Evidence map›Paper›PMID 37018221›Full record

ArticlePloS one2023

Can changing neighborhoods influence mental health? An ecological analysis of gentrification and neighborhood-level serious psychological distress-New York City, 2002-2015.

Karen A Alroy, Haleigh Cavalier, Aldo Crossa, Shu Meir Wang, Sze Yan Liu, Christina Norman, Michael Sanderson, L Hannah Gould, Sung Woo Lim

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Karen A AlroyDivision of Epidemiology, New York City Department of Health and Mental Hygiene, Bureau of Epidemiology Services, Queens, New York, United States of America.
Haleigh CavalierDivision of Epidemiology, New York City Department of Health and Mental Hygiene, Bureau of Epidemiology Services, Queens, New York, United States of America.ORCID 0000-0002-4455-6460
Aldo CrossaDivision of Epidemiology, New York City Department of Health and Mental Hygiene, Bureau of Epidemiology Services, Queens, New York, United States of America.
Shu Meir WangDivision of Epidemiology, New York City Department of Health and Mental Hygiene, Bureau of Epidemiology Services, Queens, New York, United States of America.
Sze Yan LiuDivision of Epidemiology, New York City Department of Health and Mental Hygiene, Bureau of Epidemiology Services, Queens, New York, United States of America.
Christina NormanDivision of Mental Hygiene, New York City Department of Health and Mental Hygiene, Bureau of Mental Health, Queens, New York, United States of America.
Michael SandersonDivision of Epidemiology, New York City Department of Health and Mental Hygiene, Bureau of Epidemiology Services, Queens, New York, United States of America.
L Hannah GouldDivision of Epidemiology, New York City Department of Health and Mental Hygiene, Bureau of Epidemiology Services, Queens, New York, United States of America.
Sung Woo LimDivision of Epidemiology, New York City Department of Health and Mental Hygiene, Bureau of Epidemiology Services, Queens, New York, United States of America.
New York City Department of Health and Mental Hygiene · US

Funding

AHRQ HHS T32 HS026120
6 · The paper itself

Abstract

Neighborhood conditions influence people's health; sustaining healthy neighborhoods is a New York City (NYC) Health Department priority. Gentrification is characterized by rapid development in historically disinvested neighborhoods. The gentrification burden, including increased living expenses, and disrupted social networks, disproportionally impacts certain residents. To ultimately target health promotion interventions, we examined serious psychological distress time trends in gentrifying NYC neighborhoods to describe the association of gentrification and mental health overall and stratified by race and ethnicity. We categorized NYC neighborhoods as hypergentrifying, gentrifying, and not-gentrifying using a modified New York University Furman Center index. Neighborhoods with ≥100% rent growth were hypergentrifying; neighborhoods with greater than median and <100% rent growth were gentrifying; and neighborhoods with less than median rent growth were not-gentrifying. To temporally align neighborhood categorization closely with neighborhood-level measurement of serious psychological distress, data during 2000-2017 were used to classify neighborhood type. We calculated serious psychological distress prevalence among adult populations using data from 10 NYC Community Health Surveys during 2002-2015. Using joinpoint and survey-weighted logistic regression, we analyzed serious psychological distress prevalence time trends during 2002-2015 by gentrification level, stratified by race/ethnicity. Among 42 neighborhoods, 7 were hypergentrifying, 7 were gentrifying, and 28 were not gentrifying. In hypergentrifying neighborhoods, serious psychological distress prevalence decreased among White populations (8.1% to 2.3%, β = -0.77, P = 0.02) and was stable among Black (4.6% to 6.9%, β = -0.01, P = 0.95) and Latino populations (11.9% to 10.4%, β = -0.16, P = 0.31). As neighborhoods gentrified, different populations were affected differently. Serious psychological distress decreased among White populations in hypergentrifying neighborhoods, no similar reductions were observed among Black and Latino populations. This analysis highlights potential unequal mental health impacts that can be associated with gentrification-related neighborhood changes. Our findings will be used to target health promotion activities to strengthen community resilience and to ultimately guide urban development policies.

Indexed as

Mental HealthResidential SegregationAdultHealth StatusHumansNew York CityResidence Characteristics

Identifiers

PMID37018221
PMCPMC10075454
OpenAlexW4362601615

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.