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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Higher depression risks in medium- than in high-density urban form across Denmark. / Chen, Tzu-Hsin Karen; Horsdal, Henriette Thisted; Samuelsson, Karl; Closter, Ane Marie; Davies, Megan; Barthel, Stephan; Pedersen, Carsten Bøcker; Prishchepov, Alexander V.; Sabel, Clive E.

In: Science Advances, 2023.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Chen, T-HK, Horsdal, HT, Samuelsson, K, Closter, AM, Davies, M, Barthel, S, Pedersen, CB, Prishchepov, AV & Sabel, CE 2023, 'Higher depression risks in medium- than in high-density urban form across Denmark', Science Advances. https://doi.org/10.1126/sciadv.adf3760

APA

Chen, T-H. K., Horsdal, H. T., Samuelsson, K., Closter, A. M., Davies, M., Barthel, S., Pedersen, C. B., Prishchepov, A. V., & Sabel, C. E. (2023). Higher depression risks in medium- than in high-density urban form across Denmark. Science Advances. https://doi.org/10.1126/sciadv.adf3760

Vancouver

Chen T-HK, Horsdal HT, Samuelsson K, Closter AM, Davies M, Barthel S et al. Higher depression risks in medium- than in high-density urban form across Denmark. Science Advances. 2023. https://doi.org/10.1126/sciadv.adf3760

Author

Chen, Tzu-Hsin Karen ; Horsdal, Henriette Thisted ; Samuelsson, Karl ; Closter, Ane Marie ; Davies, Megan ; Barthel, Stephan ; Pedersen, Carsten Bøcker ; Prishchepov, Alexander V. ; Sabel, Clive E. / Higher depression risks in medium- than in high-density urban form across Denmark. In: Science Advances. 2023.

Bibtex

@article{236e9cb4d3734f91aa79b509c587cb21,
title = "Higher depression risks in medium- than in high-density urban form across Denmark",
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 (n = 75,650 cases and 756,500 controls) to examine the association between 3D urban form and depression in the Danish population. We find that living in dense inner-city areas did not carry the highest depression risks. Rather, after adjusting for socioeconomic factors, the highest risk was among sprawling suburbs, and the lowest was among multistory buildings with open space in the vicinity. The finding suggests that spatial land-use planning should prioritize securing access to open space in densely built areas to mitigate depression risks.",
author = "Chen, {Tzu-Hsin Karen} and Horsdal, {Henriette Thisted} and Karl Samuelsson and Closter, {Ane Marie} and Megan Davies and Stephan Barthel and Pedersen, {Carsten B{\o}cker} and Prishchepov, {Alexander V.} and Sabel, {Clive E.}",
year = "2023",
doi = "10.1126/sciadv.adf3760",
language = "English",
journal = "Science advances",
issn = "2375-2548",
publisher = "American Association for the Advancement of Science",

}

RIS

TY - JOUR

T1 - Higher depression risks in medium- than in high-density urban form across Denmark

AU - Chen, Tzu-Hsin Karen

AU - Horsdal, Henriette Thisted

AU - Samuelsson, Karl

AU - Closter, Ane Marie

AU - Davies, Megan

AU - Barthel, Stephan

AU - Pedersen, Carsten Bøcker

AU - Prishchepov, Alexander V.

AU - Sabel, Clive E.

PY - 2023

Y1 - 2023

N2 - 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 (n = 75,650 cases and 756,500 controls) to examine the association between 3D urban form and depression in the Danish population. We find that living in dense inner-city areas did not carry the highest depression risks. Rather, after adjusting for socioeconomic factors, the highest risk was among sprawling suburbs, and the lowest was among multistory buildings with open space in the vicinity. The finding suggests that spatial land-use planning should prioritize securing access to open space in densely built areas to mitigate depression risks.

AB - 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 (n = 75,650 cases and 756,500 controls) to examine the association between 3D urban form and depression in the Danish population. We find that living in dense inner-city areas did not carry the highest depression risks. Rather, after adjusting for socioeconomic factors, the highest risk was among sprawling suburbs, and the lowest was among multistory buildings with open space in the vicinity. The finding suggests that spatial land-use planning should prioritize securing access to open space in densely built areas to mitigate depression risks.

U2 - 10.1126/sciadv.adf3760

DO - 10.1126/sciadv.adf3760

M3 - Journal article

C2 - 37224254

JO - Science advances

JF - Science advances

SN - 2375-2548

ER -

ID: 352024129