Evidence map›Paper›PMID 41267766›Full record

ArticleFrontiers in psychology2025

How identification with and attachment to place affects preference to move in later life: smallest space analysis.

Stefan White, Stephen Walsh, Stephanie Shuttleworth, Neil Dagnall

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Stefan WhiteSchool of Architecture / Health and Education, Manchester Metropolitan University, Manchester, United Kingdom.
Stephen WalshSchool of Architecture / Health and Education, Manchester Metropolitan University, Manchester, United Kingdom.
Stephanie ShuttleworthSchool of Architecture / Health and Education, Manchester Metropolitan University, Manchester, United Kingdom.
Neil DagnallSchool of Architecture / Health and Education, Manchester Metropolitan University, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As populations age and urbanize, there is a need for housing and neighborhoods that support healthier, happier lives for older adults. While "Aging in Place" policies enable seniors to remain in their homes and communities, critics argue they overlook the complex physical, social, and psychological factors necessary for positive aging. Particularly, policies that focus on the dwelling or proximity to care and failure to address older adults' holistic needs. Positive alternatives, such as the "Age-Friendly Environments," proposed by the World Health Organization, emphasize public health interventions that create neighborhoods where older people maintain social connections and live in supportive environments, regardless of accommodation type. This research, drawing on UK Understanding Society survey data, utilized Smallest Space Analysis (SSA) to identify what influences older adults' preferences to stay or move. Findings suggest that a significant predictor of housing choice was the neighborhood as a social "place." Specifically, it is a location with which individuals identified, attached, and embedded. This outcome held more weight than individual attributes like house type, financial status, or social position. Results highlighted the need for further empirical investigation into the centrality of neighborhood identification in older adults' housing decisions.

Indexed as

Age-Friendly Environmentsageing in placerightsizingsmallest space analysissocial identification

Identifiers

PMID41267766
PMCPMC12627008

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.