Evidence map›Paper›PMID 33384426›Full record

ArticleScientific reports2020

Urban street tree biodiversity and antidepressant prescriptions.

Melissa R Marselle, Diana E Bowler, Jan Watzema, David Eichenberg, Toralf Kirsten, Aletta Bonn

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
11.4field-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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 190 citations in OpenAlex.

  1. Pooled it
  2. Investigation of Epistemic Equity in Urban Green Space and Mental Health Research: A Systematic Review.International journal of environmental research and public health · 2026
    Pooled it
  3. Trial
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Space Prescription: Initiative to Improve Health and Well-being in Tokyo.Journal of atherosclerosis and thrombosis · 2025
    Review
  11. Article
  12. Article
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  16. Article
  17. Review
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  19. Article
  20. Biodiversity Effects on Human Mental Health via Microbiota Alterations.International journal of environmental research and public health · 2022
    Review
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 at 3 institutions in 1 country.

Melissa R MarselleDepartment of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318, Leipzig, Germany. melissa.marselle@dmu.ac.uk.
Diana E BowlerDepartment of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318, Leipzig, Germany.
Jan WatzemaDepartment of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318, Leipzig, Germany.
David EichenbergDepartment of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318, Leipzig, Germany.
Toralf KirstenLIFE Research Center for Civilization Diseases, Medical Faculty, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany.
Aletta BonnDepartment of Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318, Leipzig, Germany.
Helmholtz Centre for Environmental Research · DELeipzig University · DEGerman Centre for Integrative Biodiversity Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing urbanisation is a threat to both mental health and biodiversity. Street trees are an important biodiversity component of urban greenspace, but little is known about their effects on mental health. Here, we analysed the association of street tree density and species richness with antidepressant prescribing for 9751 inhabitants of Leipzig, Germany. We examined spatial scale effects of street trees at different distances around participant's homes, using Euclidean buffers of 100, 300, 500, and 1000 m. Employing generalised additive models, we found a lower rate of antidepressant prescriptions for people living within 100 m of higher density of street trees-although this relationship was marginally significant (p = 0.057) when confounding factors were considered. Density of street trees at further spatial distances, and species richness of street trees at any distance, were not associated with antidepressant prescriptions. However, for individuals with low socio-economic status, high density of street trees at 100 m around the home significantly reduced the probability of being prescribed antidepressants. The study suggests that unintentional daily contact to nature through street trees close to the home may reduce the risk of depression, especially for individuals in deprived groups. This has important implications for urban planning and nature-based health interventions in cities.

Indexed as

Antidepressive AgentsBiodiversityEnvironmentTreesUrbanizationCitiesCity PlanningDrug PrescriptionsFemaleGermanyHumansMalePublic Health SurveillanceQuality of LifeAntidepressive Agents

Identifiers

PMID33384426
PMCPMC7775428
OpenAlexW3114366349

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.