Evidence map›Paper›PMID 39880852›Full record

ArticleScientific reports2025

Investigate physiological and psychological responses to environment scenes, elements and components in different urban settings.

Jianxi Feng, Qiyan Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Jianxi FengDepartment of Urban Planning and Design, School of Architecture and Urban Planning, Nanjing University, Nanjing, China.
Qiyan LiInstitute of Geography, School of GeoSciences, University of Edinburgh, Edinburgh, UK. Qiyan.Li@ed.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research has proved a close relationship between environments and physiological as well as psychological responses. However, existing research based on neuroscience experiments demonstrated a clear dichotomy between natural and built environments in the selection of exposure settings. There is very limited research analyzing and comparing the effects of different urban environments on individual psychological health. In addition, most previous studies focus on effects of the general scenes and the influences of specific elements and components within different scenes are less examined. Therefore, this study investigated the effects of four typical urban scenes, six specific elements and twenty-two components on physiological indicators and psychological responses. The physiological indicators included electroencephalography (EEG) and electrodermal activity (EDA), while the psychological responses were assessed using the profile of mood states (POMS) scale and the perceived restorativeness scale (PRS). The analytical results showed that different urban environments tend to have significantly varied, and even opposite impacts on the residents' psychological well-being. Certain urban environments like historical districts can have even greater positive impact on residents' emotions than natural areas. The perceived restoration of the same elements and components varied according to the urban scenes. These findings can provide guidance for health-oriented spaces planning and designing.

Indexed as

AffectEmotionsEnvironmentCitiesElectroencephalographyGalvanic Skin ResponseHumansUrban PopulationEnvironment componentsEnvironment elementsEnvironment scenesPhysiological responsesPsychological responsesUrban environments

Identifiers

PMID39880852
PMCPMC11779929

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.