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Record W2090180987 · doi:10.1177/0898264307308611

A Longitudinal Investigation of Fear of Falling, Fear of Pain, and Activity Avoidance in Community-Dwelling Older Adults

2007· article· en· W2090180987 on OpenAlexaff
Thomas Hadjistavropoulos, Ronald R. Martin, Donald Sharpe, Amanda C. Lints, Donald R. McCreary, Gordon J. G. Asmundson

Bibliographic record

VenueJournal of Aging and Health · 2007
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsFear of fallingFalling (accident)PsychologyLongitudinal studyGerontologyInjury preventionPoison controlMedicinePsychiatryMedical emergency

Abstract

fetched live from OpenAlex

OBJECTIVE: The primary purpose of this study was to examine the role of fear of falling, fear of pain, and associated activity avoidance in the prediction of pain and falls. METHOD: A 6-month longitudinal study of older community-dwelling adults. RESULTS: The authors found that fear of falling is a better predictor of falls than is activity avoidance. Moreover, fear of pain did not predict future pain-related avoidance or future pain in the sample of seniors. DISCUSSION: The findings confirm the ability of fear of falling to predict falls but challenge preexisting models developed to account for the relationship between falls and fear. The findings also suggest limits on the generalizability of fear-avoidance models of pain. The authors conclude by suggesting mechanisms that could account for the relationship of fears with falls and pain. Unlike previous conceptualizations, these mechanisms do not rely on activity avoidance as an explanation.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.029
GPT teacher head0.334
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

Citations98
Published2007
Admission routes1
Has abstractyes

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