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Record W7116865478 · doi:10.1002/alz70863_110652

Rethinking the role of ambulatory activity in falls risk in aged residential care: influence of physical capacity and cognitive impairment

2025· article· en· W7116865478 on OpenAlexaboutno aff
Ríona Mc Ardle, Lynne Taylor, Silvia Del Din, L. Rochester, Ngaire Kerse, Jochen Klenk

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsAmbulatoryCognitive impairmentPhysical activityCognitionHuman factors and ergonomicsPoison controlInjury preventionSuicide preventionPerception

Abstract

fetched live from OpenAlex

BACKGROUND: Aged residential care (ARC) residents have 2-4x greater fall risk than older community-dwellers, leading to injuries, hospitalisation, and death. High prevalence of dementia and physical impairments exacerbate fall risk. Facilities often restrict residents' ambulatory activity as a falls prevention measure but evidence linking ambulatory activity and falls rates in ARC is unclear. To address this risk-reward conundrum presented by care staff, we aimed to explore the relationship between ambulatory activity and falls rate in ARC considering the influence of physical capacity and cognitive impairment. METHOD: Data from 281 ARC residents in New Zealand-based Staying Upright randomised controlled trial. Participants demonstrated moderate cognitive impairment (Montreal Cognitive Assessment (mean±SD) 15±6). Step count was assessed via a lower-back accelerometer for seven days at baseline. Falls were monitored for participants' study duration (581±264 days). Physical capacity was classified as Moderate (n = 71) or Low (n = 205) using the Short Performance Physical Battery scores. Quasi-Poisson generalised linear models assessed associations and interactions between steps, cognition, physical capacity, and falls rates. Relative risks of falls and fall-related injuries were estimated for activity levels (2000, 4000, 6000 steps/day). RESULT: The Low physical capacity group had higher falls rates than Moderate (p = 0.001). Higher daily step count were linked with increased falls rate (p = 0.046), with a significant interaction (p = 0.036): the Moderate Group showed a positive association between steps and falls, while the Low group did not (Figure 1). Cognitive impairment was unrelated to steps or falls. Moderate-capacity participants had a ∼23-24% increased relative fall risk between activity levels, with only a ∼6% increase in injury risk. The Low-capacity group had negligible changes (∼2.7-3.9%) in relative risk across activity levels. CONCLUSION: Residents with higher physical capacity can take more falls-free steps. While their falls risk increases slightly as activity levels increase, this is not at the expense of injuries. Low-capacity residents face higher baseline fall risk and incidence of injurious falls but are less influenced by activity levels. Despite perceptions that cognitive impairment increases fall risk, no associations were found. These results challenge the practice of restricting ambulatory activity in aged care to prevent falls, highlighting the need for tailored interventions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.322
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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