Evidence map›Paper›PMID 32632726›Full record

ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2020

[The impact of urban architecture on health: the PAKARA model].

Tanja C Vollmer, Gemma Koppen, Katharina Kohler

Open access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Tanja C VollmerArchitekturpsychologie am Lehrstuhl für Raumkunst und Lichtgestaltung, Fakultät für Architektur, Technische Universität München, Arcisstr. 21, 80333, München, Deutschland. tanja.vollmer@tum.de.
Gemma KoppenKopvol Architektur & Psychologie, Berlin, Deutschland.
Katharina KohlerKopvol Architektur & Psychologie, Berlin, Deutschland.
Technical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humankind is in constant interaction with the environment. If this interaction leads to individual internalization of the environment, which is also called "appropriation" in psychology, it has a positive effect on health and wellbeing. To promote appropriation, urban architecture must respond to human needs. The PAKARA model illustrates the dynamic interaction of these needs with urban architecture, distinguishing three sectors: preventive, curative, and rehabilitative architecture. The PAKARA model was developed in 2019 at the Technical University of Munich.In addition to the model, the article explains three central needs that, influenced by urban architecture, can lead to health-promoting saturation or health-damaging over- or undersaturation: stimulation, identification, and privacy. Conclusively, it is shown that the future challenge is to expand close interdisciplinary cooperation against the background of a drastic increase in the global urban population and an associated complexity of need-oriented design. The needs of the individual - even if they contradict each other and change over the course of a lifetime - are the driving motor behind the health of an entire community. Urban architecture has the potential to keep this motor running, or, destroy it.

Indexed as

City PlanningUrban HealthForecastingGermanyHumansUrban PopulationArchitectural psychologyEvidence-based designNeed-based health promotion and designPreventionUrban health

Identifiers

PMID32632726
OpenAlexW3040249133

What OpenQuestion holds

Textmetadata
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.