Evidence map›Paper›PMID 28165409›Full record

ArticleInternational journal of environmental research and public health2017

Older People's Experiences of Mobility and Mood in an Urban Environment: A Mixed Methods Approach Using Electroencephalography (EEG) and Interviews.

Sara Tilley, Chris Neale, Agnès Patuano, Steve Cinderby

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
7.5field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 138 citations in OpenAlex.

  1. 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
  2. Urban Green Space and Subjective Well-Being of Older People: A Systematic Literature Review.International journal of environmental research and public health · 2022
    Pooled it
  3. Pooled it
  4. Trial
  5. The Relationship Between Well-Being and MountainTherapy in Practitioners of Mental Health Departments.International journal of environmental research and public health · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Psychophysiological Responses of College Students to Audio-Visual Forest Trail Landscapes.Journal of urban health : bulletin of the New York Academy of Medicine · 2023
    Article
  12. Article
  13. Article
  14. Urbanicity-Perspectives from Neuroscience and Public Health: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features.International journal of environmental research and public health · 2022
    Article
  19. Article
  20. 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

4 authors at 3 institutions in 1 country.

Sara TilleyOPENspace, Edinburgh College of Art, University of Edinburgh, Edinburgh EH3 9DF, UK. sara.tilley@ed.ac.uk.
Chris NealeThe Stockholm Environment Institute, Environment Department, University of York, York YO10 5DD, UK. chris.neale@york.ac.uk.
Agnès PatuanoOPENspace, Edinburgh College of Art, University of Edinburgh, Edinburgh EH3 9DF, UK. A.Patuano@ed.ac.uk.
Steve CinderbyThe Stockholm Environment Institute, Environment Department, University of York, York YO10 5DD, UK. steve.cinderby@york.ac.uk.
University of York · GBEdinburgh College · GBUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are concerns about mental wellbeing in later life in older people as the global population becomes older and more urbanised. Mobility in the built environment has a role to play in improving quality of life and wellbeing, as it facilitates independence and social interaction. Recent studies using neuroimaging methods in environmental psychology research have shown that different types of urban environments may be associated with distinctive patterns of brain activity, suggesting that we interact differently with varying environments. This paper reports on research that explores older people's responses to urban places and their mobility in and around the built environment. The project aim was to understand how older people experience different urban environments using a mixed methods approach including electroencephalography (EEG), self-reported measures, and interview results. We found that older participants experience changing levels of "excitement", "engagement" and "frustration" (as interpreted by proprietary EEG software) whilst walking between a busy built urban environment and an urban green space environment. These changes were further reflected in the qualitative themes that emerged from transcribed interviews undertaken one week post-walk. There has been no research to date that has directly assessed neural responses to an urban environment combined with qualitative interview analysis. A synergy of methods offers a deeper understanding of the changing moods of older people across time whilst walking in city settings.

Indexed as

EnvironmentMental HealthResidence CharacteristicsAffectAgedComprehensionElectroencephalographyEnvironment DesignFemaleHumansMaleQuality of LifeWalkingWeatherbuilt environmentelectroencephalography (EEG)mixed methodsmobilitymoodolder adultsqualitative

Identifiers

PMID28165409
PMCPMC5334705
OpenAlexW2587474564

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.