MétaCan
Menu
Back to cohort
Record W2083774682 · doi:10.1177/0898264308328988

Impact of a Community-Based Falls Prevention Program on Maintenance of Physical Activity Among Older Adults

2009· article· en· W2083774682 on OpenAlexaff
Sophie Laforest, Anne Pelletier, Lise Gauvin, Yvonne Robitaille, Michel Fournier, Hélène Corriveau, Johanne Filiatrault

Bibliographic record

VenueJournal of Aging and Health · 2009
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of SherbrookeUniversité de SherbrookeCentre de Santé et de Services Sociaux de ChicoutimiInstitut National de Santé Publique du QuébecCentre for Interdisciplinary Research in RehabilitationUniversité de MontréalSante MontrealCentre de Santé et de Services Sociaux Cavendish
Fundersnot available
KeywordsPhysical activityBaseline (sea)Logistic regressionGerontologyBalance (ability)MedicineInjury preventionPoison controlSuicide preventionEnergy expenditureHuman factors and ergonomicsOccupational safety and healthPhysical therapyPsychologyEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: This study examines the 9-month impact of a 12-week falls prevention program (called Stand Up!) which included balance exercises and educational components on maintenance of physical activity among community-dwelling seniors. METHOD: Data were collected among 98 experimental and 102 control participants at baseline, immediately after the program and 9 months later. Involvement in physical activity was measured with three indicators. Program effects were examined using linear and logistic regression procedures. RESULTS: Both groups showed similar increases in weekly frequency of exercise at the 9-month posttest. However, the program's participants showed higher increases in their variety of exercises at the 9-month posttest (especially among those with greater baseline scores). Among seniors reporting lower levels of energy expenditure at baseline, the program's participants showed significantly greater increases in energy expenditure than control participants. DISCUSSION: These preliminary findings suggest that programs such as Stand Up! have the potential to stimulate continued involvement in physical activity.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.443

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 integrity0.0000.001
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 head0.045
GPT teacher head0.447
Teacher spread0.402 · 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

Citations15
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Aging and HealthSame topicBalance, Gait, and Falls PreventionFrench-language works237,207