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Functional Health: Innovations in Research on Physical Activity with Older Adults

2005· article· en· W2022214481 on OpenAlexaff
W. Jack Rejeski, Lawrence R. Brawley

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2005
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Saskatchewan
FundersNational Center for Research ResourcesNational Institute on Aging
KeywordsPsychological interventionCompetence (human resources)PsychologyIntervention (counseling)Context (archaeology)Physical activityGerontologyPerspective (graphical)Applied psychologyEmpowermentMedical educationMedicinePhysical therapySocial psychologyComputer science

Abstract

fetched live from OpenAlex

PURPOSE: This symposium was structured to provide two keynote addresses and recent innovations on the topic of physical activity interventions. OVERVIEW: In the first paper, Drs. W. Jack Rejeski and Lawrence R. Brawley combine the content of their two keynotes into a single integrative review. This paper is then followed by four studies that build on and extend the research reviewed in their keynotes. The first is a study that examines the measurement properties of a scale designed to assess older adults' desire for physical competence. The second is an experiment that tests the efficacy of a brief intervention for increasing older adults' motives to attend educational sessions on physical activity in the context of assisted living. The third involves a pilot study in older adults that explores the feasibility and efficacy of using a group-mediated intervention for psychological empowerment in conjunction with more traditional methods of strength training. The fourth examines an innovative intervention that was designed to link the abilities acquired during strength training to older adults' performance of activities of daily living. CONCLUSIONS: Physical activity interventions should be designed to promote collaborative relationships between interventionists and participants. Older adults bring with them symptoms, emotions, motives, and beliefs that are as important to adherence and to the outcomes of interventions as the physical training regimen itself. Furthermore, from the perspective of both behavior change and physical training, the design of physical activity programs for older adults should pay close attention to intended objectives.

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)0.003
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 score0.735
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0000.001
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 head0.113
GPT teacher head0.426
Teacher spread0.313 · 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

Citations66
Published2005
Admission routes1
Has abstractyes

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