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Record W2137568193 · doi:10.1093/ageing/afh077

Restriction in activity associated with fear of falling among community-based seniors using home care services

2004· article· en· W2137568193 on OpenAlexafffundabout
P. C. Fletcher

Bibliographic record

VenueAge and Ageing · 2004
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsWilfrid Laurier University
FundersCanadian Institutes of Health ResearchHealth Canada
KeywordsFalling (accident)Fear of fallingMedicineGerontologyInjury preventionPoison controlPsychiatryMedical emergency

Abstract

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BACKGROUND: Fear of falling may lead to avoidance of activities for seniors, even though they may be able to perform these activities. Specific risk factors for fear of falling that are amenable to change among various populations have been identified within the literature; however, detailed information about the risk factors for fear of falling, specifically among community-based seniors receiving home care services, is limited. OBJECTIVE: The aim of this cross-sectional study was to examine the factors associated with restriction of activity resulting from fear of falling among 2,300 seniors receiving home care services. PARTICIPANTS: All participants (n = 2,304) in this study were receiving home care services between 1999 and 2001 from a sample of 10 volunteering community-based agencies (Community Care Access Centres) representing the major geographic regions of Ontario, Canada. Community care access centres act as gatekeeping organisations assessing need and contracting out for a broad range of community-based services. MEASUREMENTS: The Minimum Data Set for Home Care, a comprehensive and standardised assessment tool used to evaluate the needs and ability levels of older adults utilising home care services, covers several key domains, such as service use, function, health and social support. Nurses trained to administer the Minimum Data Set for Home Care assessed each of the participants within their homes. RESULTS: Of the 2,304 seniors within the study, 41.2% of participants expressed they restricted their activity for fear of falling. Percentages reporting fear of falling within the literature are considerably lower than the presentfindings, and probably attributable to the frailer, home care population within the present study. In the final logistic regression model, being female, having various impairments/limitations, lack of support and being a multiple faller significantly increased risk of fear of falling, whereas individuals that used antipsychotics and individuals that had Alzheimer's disease were less likely to report restricting their activity. CONCLUSIONS: The results from this study provide information about a group void in the literature pertaining to activity restriction from fear of falling - community-based seniors receiving home care services. The comprehensive nature of the Minimum Data Set for Home Care allowed for a myriad of factors to be assessed and subsequently analysed with respect to the outcome variable. The inclusion of items on falls, fear of falling, and risk factors for both adverse outcomes means that home care professionals using this instrument will have a unique opportunity to identify and respond to problems that have an important impact on the client's quality of life.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.074
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.321
Teacher spread0.293 · 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

Citations321
Published2004
Admission routes3
Has abstractyes

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