Evidence map›Paper›PMID 26610540›Full record

ArticleInternational journal of environmental research and public health2015

The Effects of the Urban Built Environment on Mental Health: A Cohort Study in a Large Northern Italian City.

Giulia Melis, Elena Gelormino, Giulia Marra, Elisa Ferracin, Giuseppe Costa

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 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

53 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The Geography of Mental Health, Urbanicity, and Affluence.International journal of environmental research and public health · 2023
    Article
  17. Article
  18. Article
  19. Nonlinear Effects of the Neighborhood Environments on Residents' Mental Health.International journal of environmental research and public health · 2022
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Giulia MelisEnvironmental Heritage and Urban Redevelopment Unit, SiTI-Higher Institute on Territorial Systems for Innovation, via Boggio 61, 10138 Torino, Italy. giulia.melis@siti.polito.it.
Elena GelorminoASL Torino 5, Local Public Health Agency, piazza S. Pellico 1, 10023 Chieri, Italy. gelormino.elena@aslto5.piemonte.it.
Giulia MarraEnvironmental Heritage and Urban Redevelopment Unit, SiTI-Higher Institute on Territorial Systems for Innovation, via Boggio 61, 10138 Torino, Italy. giulia.marra@polito.it.
Elisa FerracinSEPI Grugliasco, Epidemiology Service for ASL Torino 3, Local Public Health Agency, via Sabaudia 164, 10095 Grugliasco, Italy. elisa.ferracin@epi.piemonte.it.
Giuseppe CostaSEPI Grugliasco, Epidemiology Service for ASL Torino 3, Local Public Health Agency, via Sabaudia 164, 10095 Grugliasco, Italy. giuseppe.costa@epi.piemonte.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health (MH) has a relevant burden on the health of populations. Common MH disorders (anxiety and non-psychotic depression) are well associated to socioeconomic individual and neighborhood characteristics, but little is known about the influence of urban structure. We analyzed among a Turin (Northwest Italy) urban population the association at area level of different urban structure characteristics (density, accessibility by public transport, accessibility to services, green and public spaces) and consumption of antidepressants. Estimates were adjusted by individual socio-demographic variables (education, housing tenure, employment) and contextual social environment (SE) variables (social and physical disorder, crime rates). Data was extracted from the Turin Longitudinal Study (TLS)-a census-based cohort study following up prospectively the mortality and morbidity of the population. As expected, individual characteristics show the strongest association with antidepressant drug consumption, while among built environment (BE) indicators accessibility by public transport and urban density only are associated to MH, being slightly protective factors. Results from this study, in agreement with previous literature, suggest that BE has a stronger effect on MH for people who spend more time in the neighborhood. Therefore, this research suggests that good accessibility to public transport, as well as a dense urban structure (versus sprawl), could contribute to reduced risk of depression, especially for women and elderly, by increasing opportunities to move around and have an active social life.

Indexed as

Environment DesignMental HealthAdultCensusesCohort StudiesDepressionEthnicityFemaleHousingHumansItalyLongitudinal StudiesMaleMiddle AgedMorbidityResidence Characteristicsaccessibilitybuilt environmenthealthinequalitiespublic transportsocial environmentTurin Longitudinal Studyurban densityurban structure

Identifiers

PMID26610540
PMCPMC4661687

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.