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Record W795796941 · doi:10.1093/geront/gnv502.11

EXPLORING THE FALL-RISK EXPERIENCE OF MASTERS ATHLETES ACTIVELY COMPETING IN SPORT

2015· article· en· W795796941 on OpenAlexaff
Dylan Brennan

Bibliographic record

VenueThe Gerontologist · 2015
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsWestern University
Fundersnot available
KeywordsAthletesPsychologyApplied psychologyPhysical therapyMedicine

Abstract

fetched live from OpenAlex

The risk of falling increases in adults over the age of 65. Exercise can prevent falls. The motivation to partake in physical activity might be dependent on an older adult’s experience with the risk of falling. Since the majority of older adults are sedentary, experiences of masters athletes can provide valuable insights. The purpose of this phenomenological study was to explore the fall-risk experience of masters athletes actively competing in sport. Masters athletes over the age of 55 (n=22) described their experiences in semi-structured interviews. Data was analyzed through an interpretive-constructive paradigm using inductive content analysis. There were five dominant themes that emerged (acceptance of fall risk, learning, heightened awareness, resilience, and self-fulfillment). Findings from this study indicate that competing in sport as an older adult can be self-fulfilling even when falls-risk is present. The findings can also inform health promotion campaigns targeting fall prevention in community dwelling older adults.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.804

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.207
GPT teacher head0.385
Teacher spread0.178 · 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 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
Published2015
Admission routes1
Has abstractyes

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