Evidence map›Paper›PMID 23725884›Full record

ArticleSpatial and spatio-temporal epidemiology2013

The built environment and depressive symptoms among urban youth: A spatial regression study.

Dustin T Duncan, Gianfranco Piras, Erin C Dunn, Renee M Johnson, Steven J Melly, Beth E Molnar

Abstract read
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Mental health benefits of long-term exposure to residential green and blue spaces: a systematic review.International journal of environmental research and public health · 2015
    Pooled it
  2. Article
  3. Article
  4. Neighborhood selection by parent personality, depression, and coparent support: A two-study replication.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. How Does Urban Green Space Impact Residents' Mental Health: A Literature Review of Mediators.International journal of environmental research and public health · 2021
    Review
  9. Observational
  10. Article
  11. Article
  12. Article
  13. DyBMJ open · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Geospatial clustering in sugar-sweetened beverage consumption among Boston youth.International journal of food sciences and nutrition · 2017
    Article
  19. Article
  20. 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.

Dustin T DuncanDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA, USA. dduncan@hsph.harvard.edu
Gianfranco Piras
Erin C Dunn
Renee M Johnson
Steven J Melly
Beth E Molnar

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
The Neighborhood Context of Marijuana Use Among Low-income Urban YouthK01DA031738 · NIDA · JOHNS HOPKINS UNIVERSITY · PI JOHNSON, RENEE M. · 2011 to 2015
$763k
NIDA NIH HHS K01 DA031738NIDA NIH HHS L40 DA034573NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

This study evaluated spatial relationships between features of the built environment and youth depressive symptoms. Data used in this study came from the 2008 Boston Youth Survey Geospatial Dataset, which includes Boston high school students with complete residential information (n=1170). Features of the built environment (such as access to walking destinations and community design features) were created for 400- and 800-m street network buffers of the youths' residences. We computed standard Ordinary Least Squares (OLS) regression and spatial simultaneous autoregressive models. We found significant positive spatial autocorrelation in all of the built environment features at both spatial scales (all p=0.001), depressive symptoms (p=0.034) as well as in the OLS regression residuals (all p<0.001), and, therefore, fit spatial regression models. Findings from the spatial regression models indicate that the built environment can have depressogenic effects, which can vary by spatial scale, gender and race/ethnicity (though sometimes in unexpected directions, i.e. associations opposite to our expectations). While our results overall suggest that the built environment minimally influences youth depressive symptoms, additional research is needed, including to understand our results in the unexpected direction.

Indexed as

CitiesResidence CharacteristicsAdolescentBostonData CollectionDepressionHumansLeast-Squares AnalysisModels, StatisticalPsychiatric Status Rating ScalesRacial GroupsSchoolsSex FactorsSpatial AnalysisUrban Population

Identifiers

PMID23725884
PMCPMC3734378

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.