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Record W4408578591 · doi:10.1017/s0144686x25000042

Ageing successfully with a physical disability: the views and experiences of people ageing with spinal cord injury or post-polio syndrome

2025· article· en· W4408578591 on OpenAlexaff
Nicola Ann Heath, Laura Brown, Christina Bryant

Bibliographic record

VenueAgeing and Society · 2025
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsAgeingPoliomyelitisSpinal cord injuryPhysical medicine and rehabilitationMedicineGerontologyPsychologyPhysical therapySpinal cordPediatricsPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Average lifespans for people with physical disabilities are increasing; yet there is limited knowledge about their perceptions of what it means to age well. The criteria for Rowe and Kahn’s influential model of successful ageing effectively preclude people ageing with a long-term disability. Several authors have attempted to develop more-inclusive models of successful ageing. The aim of this study was to explore what successful ageing means for people ageing with either spinal cord injury (SCI) or post-polio syndrome (PPS). We used an emic-based methodology, and recruited from Australia 17 participants aged 40–78 years. Nine participants (one male, eight female) had acquired poliomyelitis in childhood and experienced PPS, and eight participants (seven male, one female) had acquired an SCI 15 or more years ago. We used semi-structured interviews to elicit participants’ views on the dimensions important to ageing successfully with a disability, and analysed the transcripts using inductive thematic analysis. We identified eight themes, which related to: (1) maintaining physical health, (2) retaining cognitive abilities, (3) a sense of safety and security, (4) being treated with fairness and respect, (5) positive psychological resources, (6) independence and autonomy, (7) social engagement and participation in community and (8) a sense of purpose. We used the findings to construct a multi-dimensional successful ageing model for those ageing with SCI or PPS. The model includes insights from lay perspectives that further illustrate the role broader society plays in supporting or hindering individuals to age successfully, and has implications for health-care and government services.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.370
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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