Evidence map›Paper›PMID 31979152›Full record

ArticleInternational journal of environmental research and public health2020

Green Spaces, Land Cover, Street Trees and Hypertension in the Megacity of São Paulo.

Tiana C L Moreira, Jefferson L Polizel, Itamar de Souza Santos, Demóstenes F Silva Filho, Isabela Bensenor, Paulo A Lotufo, Thais Mauad

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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. Article
  17. Heterogeneous Urban Exposures and Prevalent Hypertension in the Helsinki Capital Region, Finland.International journal of environmental research and public health · 2021
    Article
  18. 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

7 authors.

Tiana C L MoreiraFaculdade de Medicina, Departamento de Patologia, Universidade de São Paulo, São Paulo 01246-903, Brazil.
Jefferson L PolizelEscola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Piracicaba 13418-900, Brazil.
Itamar de Souza SantosCentro de Pesquisa Clínica, Hospital Universitário, Universidade de São Paulo, São Paulo 05508-000, Brazil.
Demóstenes F Silva FilhoEscola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Piracicaba 13418-900, Brazil.
Isabela BensenorCentro de Pesquisa Clínica, Hospital Universitário, Universidade de São Paulo, São Paulo 05508-000, Brazil.
Paulo A LotufoCentro de Pesquisa Clínica, Hospital Universitário, Universidade de São Paulo, São Paulo 05508-000, Brazil.
Thais MauadFaculdade de Medicina, Departamento de Patologia, Universidade de São Paulo, São Paulo 01246-903, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proximity to green spaces has been shown to be beneficial to several cardiovascular outcomes in urban spaces. Few studies, however, have analyzed the relationship between these outcomes and green space or land cover uses in low-medium income megacities, where the consequences of rapid and inordinate urbanization impose several health hazards. This study used a subgroup of the dataset from The Brazilian Longitudinal Study of Adult Health ELSA-BRASIL (n= 3418) to identify the correlation between the medical diagnosis of hypertension and green spaces in the megacity of São Paulo. Land cover classification was performed based on the random forest algorithm using geometrically corrected aerial photography (orthophoto). Three different indicators of exposure to green spaces were used: number of street trees, land cover and number of parks within 1 km. We used logistic regression models to obtain the association of the metrics exposure and health outcomes. The number of street trees in the regional governments (OR = 0.937 and number of parks within 1 km (OR = 0.876) were inversely associated with a diagnosis of hypertension. Sixty-three percent of the population had no parks within 1 km of their residence. Our data indicate the need to encourage large-scale street tree planting and increase the number of qualified parks in megacities.

Indexed as

EnvironmentTreesAdultAgedBrazilCitiesFemaleHumansHypertensionLongitudinal StudiesMaleMiddle AgedParks, Recreationalcardiovascular healthconstructed areahigh resolution imagesSão Paulo megacity

Identifiers

PMID31979152
PMCPMC7038323

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.