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Record W2899781706 · doi:10.1093/geroni/igy023.2931

THE LONG VIEW: COMPARING OUTCOMES OF CLASS- AND HOME-BASED PHYSICAL ACTIVITY PROGRAMS FOUR YEARS LATER

2018· article· en· W2899781706 on OpenAlexaff
Koren L. Fisher, Elizabeth Harrison, Bruce Reeder, Nazmi Sari, K E. Chad

Bibliographic record

VenueInnovation in Aging · 2018
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Randomized controlled trialPhysical therapyGerontologyPhysical activityIntervention (counseling)Physical fitnessNursing

Abstract

fetched live from OpenAlex

Both class- and home-based (CB; HB) physical activity programs are effective in increasing functional performance, physical fitness and other health outcomes in older adults. Direct comparisons of program effectiveness have been equivocal and few have examined outcomes beyond the 12-month mark. 50+ in motion was a randomized clinical trial comparing the effectiveness of a CB and HB physical activity program for sedentary older adults with chronic health conditions. The intervention consisted of a 3-month intensive phase and a 9-month follow-up phase. Data were collected from 172 participants at baseline, 3-, 6-, 12-months, and then annually for a total of 48 months. Outcomes included cardiovascular fitness, functional performance, body composition, quality of life, and health services utilization. In both programs, improvements in most outcomes were sustained beyond 12-months with some extended through the entire follow-up period. There were no differences in health services variables between the programs until the final year.

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)0.004
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.078
GPT teacher head0.365
Teacher spread0.287 · 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
Published2018
Admission routes1
Has abstractyes

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