Evidence map›Paper›PMID 27720338›Full record

ArticleAmerican journal of preventive medicine2017

Built Environment and Depression in Low-Income African Americans and Whites.

Peter James, Jaime E Hart, Rachel F Banay, Francine Laden, Lisa B Signorello

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
17.2field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 82 citations in OpenAlex.

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  12. Perceived Environmental Attributes: Their Impact on Older Adults' Mental Health in Malaysia.International journal of environmental research and public health · 2022
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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

5 authors at 2 institutions in 1 country.

Peter JamesDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts;. Electronic address: pjames@hsph.harvard.edu.
Jaime E HartDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Rachel F BanayDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Francine LadenDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Lisa B SignorelloDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Cancer Prevention Fellowship Program, National Cancer Institute, Rockville, Maryland.
Harvard University · USBrigham and Women's Hospital · US

Funding

Southern Community Cohort StudyR01CA092447 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., ZHENG, WEI · 2001 to 2015
$74.0M
Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Brent Andrew Coull · 1985 to 2026
$44.6M
Training Program in Environmental EpidemiologyT32ES007069 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LADEN, FRANCINE · 1985 to 2024
$13.9M
CVD Epidemiology Training Program in Behavior, the Environment and Global HealthT32HL098048 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Goodarz Danaei, ERIC B RIMM · 2009 to 2026
$6.9M
High resolution measures of behavioral cancer risk factors from mobile technologyK99CA201542 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI JAMES, PETER · 2016 to 2016
$129k
NCI NIH HHS K99 CA201542NCI NIH HHS R01 CA092447NHLBI NIH HHS T32 HL098048NIEHS NIH HHS P30 ES000002NIEHS NIH HHS T32 ES007069
6 · The paper itself

Abstract

introductionUrban environments are associated with a higher risk of adverse mental health outcomes; however, it is unclear which specific components of the urban environment drive these associations.

methodsUsing data collected in 2002-2009 from 73,225 low-income, racially diverse individuals across the Southeastern U.S., analyses evaluated the cross-sectional relationship between a walkability index and depression. Walkability was calculated from population density, street connectivity, and destination count in the 1,200-meter area around participants' homes, and depression was measured using the Center for Epidemiologic Studies Depression Scale for depression symptomatology and questionnaire responses regarding doctor-diagnosed depression and antidepressant use. Data were analyzed in 2015.

resultsParticipants living in neighborhoods with the highest walkability index had 6% higher odds of moderate or greater depression symptoms (score ≥15, 95% CI=0.99, 1.14), 28% higher odds of doctor-diagnosed depression (95% CI=1.20, 1.36), and 16% higher odds of current antidepressant use (95% CI=1.08, 1.25), compared with those in the lowest walkability index. Higher walkability was associated with higher odds of depression symptoms in the most deprived neighborhoods only, whereas walkability was associated with lower odds of depression symptoms in the least deprived neighborhoods.

conclusionsLiving in a more walkable neighborhood was associated with modestly higher levels of doctor-diagnosed depression and antidepressant use, and walkability was associated with greater depression symptoms in neighborhoods with higher deprivation. Although dense urban environments may provide opportunities for physical activity, they may also increase exposure to noise, air pollution, and social stressors that could increase levels of depression.

Indexed as

CitiesAdultBlack or African AmericanCohort StudiesDepressionFemaleHumansMaleMiddle AgedResidence CharacteristicsSoutheastern United StatesUrban PopulationWalkingWhite People

Identifiers

PMID27720338
PMCPMC5167658
OpenAlexW2528605000

What OpenQuestion holds

Textmetadata
LicenceTDM
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.