Evidence map›Paper›PMID 37224254›Full record

ArticleScience advances2023

Higher depression risks in medium- than in high-density urban form across Denmark.

Tzu-Hsin Karen Chen, Henriette Thisted Horsdal, Karl Samuelsson, Ane Marie Closter, Megan Davies, Stephan Barthel, Carsten Bøcker Pedersen, Alexander V Prishchepov, Clive E Sabel

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

9 authors.

Tzu-Hsin Karen ChenSchool of the Environment, Yale University, New Haven, CT, USA.ORCID 0000-0002-0343-6147
Henriette Thisted HorsdalBig Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus V, Denmark.ORCID 0000-0003-1519-8091
Karl SamuelssonISGlobal, Barcelona, Spain.ORCID 0000-0002-7936-3722
Ane Marie ClosterBig Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus V, Denmark.
Megan DaviesBig Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus V, Denmark.
Stephan BarthelDepartment of Building Engineering, Energy Systems and Sustainability Science, University of Gävle, Gävle, Sweden.ORCID 0000-0003-2637-2024
Carsten Bøcker PedersenBig Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus V, Denmark.ORCID 0000-0003-2077-8533
Alexander V PrishchepovDepartment of Geosciences and Natural Resource Management (IGN), University of Copenhagen, København V, Denmark.ORCID 0000-0003-2375-1651
Clive E SabelBig Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus V, Denmark.ORCID 0000-0001-9180-4861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban areas are associated with higher depression risks than rural areas. However, less is known about how different types of urban environments relate to depression risk. Here, we use satellite imagery and machine learning to quantify three-dimensional (3D) urban form (i.e., building density and height) over time. Combining satellite-derived urban form data and individual-level residential addresses, health, and socioeconomic registers, we conduct a case-control study (

Indexed as

DepressionMachine LearningCase-Control StudiesDenmarkSatellite Imagery

Identifiers

PMID37224254
PMCPMC10208571

What OpenQuestion holds

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LicenceCC BY-NC
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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.