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Record W4413006148 · doi:10.1249/esm.0000000000000052

Long-Term Enrollment in a Community Exercise Program Attenuates Age-Related Declines in Fitness in Older Adults

2025· article· en· W4413006148 on OpenAlexaff
Giulia Coletta, Angelica McQuarrie, Stuart M. Phillips, Maureen J. MacDonald

Bibliographic record

VenueExercise Sport and Movement · 2025
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGerontologyTerm (time)Physical fitnessMedicineDemographyPsychologyPhysical therapy

Abstract

fetched live from OpenAlex

ABSTRACT Introduction The purpose of this study was to examine changes in cardiorespiratory fitness (CRF) and muscle strength (MS) in participants of a community-based exercise program through a retrospective chart review. Methods In this observational study, participants ( n = 124, 69 females) completed exercise tests before enrollment and after a minimum of 1 yr of participation. One-sample t -tests were used to compare annualized rates of change in CRF and MS compared with published rates of change. Results After a mean follow-up time of 5.2 ± 2.6 yr, absolute and relative rates of decline in peak oxygen uptake (V˙O 2peak ) were less than expected among males, whereas absolute and relative V˙O 2peak improved over time in females compared with established rates of decline. Rates of decline in strength were less than the established rates of decline in both males and females. Conclusion These findings suggest that enrollment in a community-based exercise program was associated with improved aerobic and muscular fitness outcomes in both females and males compared with established rates of change.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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)0.0010.000

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 head0.015
GPT teacher head0.317
Teacher spread0.302 · 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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