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Record W4205093333 · doi:10.1123/japa.2021-0199

Influence of Ageism on Physical Activity Prescription for Prediabetes Management

2022· article· en· W4205093333 on OpenAlexaff
Arun Eswaran, Brad A. Meisner

Bibliographic record

VenueJournal of Aging and Physical Activity · 2022
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsYork University
Fundersnot available
KeywordsPrediabetesMedicineMedical prescriptionPhysical therapyPhysical activityKinesiologyIntensity (physics)Internal medicineDiabetes mellitusType 2 diabetesEndocrinologyNursing

Abstract

fetched live from OpenAlex

This study used a randomized online survey design to examine the potential influence of ageism on physical activity (PA) prescription for hypothetical patients with prediabetes of different chronological ages. Participants included 356 kinesiology students who were randomly assigned to one of four conditions. Each condition presented a clinical case study of a hypothetical patient with prediabetes referred to the participant as a qualified exercise professional for a PA intervention. Case studies were identical except for the reported patient's chronological age. Participants provided recommendations for PA support, frequency, duration, and intensity. Significant main effects were observed for PA duration, F(3, 352) = 8.62; p < .001, and intensity, F(3, 352) = 16.20; p < .001. The older patient was prescribed significantly lower PA duration and intensity compared to younger patients and no-age control. This study provides evidence for the presence and independent influence of ageism against older patients in PA prescription for prediabetes management.

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)0.001
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 score0.901
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.053
GPT teacher head0.423
Teacher spread0.371 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

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