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Record W3112628414 · doi:10.3148/cjdpr-2020-029

Registered Dietitians’ Knowledge, Attitudes, and Behaviour Related to Physical Activity and Sedentariness

2020· article· en· W3112628414 on OpenAlexaffvenueabout
Jessica Huntington, John J. M. Dwyer, Sara Shama, Paula Brauer

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2020
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsThematic analysisMedicinePhysical activityQualitative researchFamily medicinePhysical therapyPsychology

Abstract

fetched live from OpenAlex

Purpose: To explore knowledge, attitudes, and behaviour related to physical activity (PA) and sedentariness among registered dietitians (RDs) in family health teams in Ontario. Methods: This cross-sectional, descriptive study utilized a semi-structured interview guide to conduct qualitative interviews with 20 RDs. Self-administered questionnaires were used to assess personal PA (short version of the International Physical Activity Questionnaire) and sedentary behaviour (Sedentary Behavior Questionnaire). Results: Thematic analysis indicated that, in general, participants had good knowledge of PA and sedentariness. They were knowledgeable about the PA guidelines. They had positive attitudes toward PA and nonsedentariness, stating that both are important in the prevention and treatment of chronic conditions. Quantitative analysis indicated they had moderate-to-high PA levels and were fairly sedentary. Conclusions: This study supports the position that RDs can serve as excellent role models for PA. Though participants had basic knowledge, RDs may benefit from additional education regarding PA and sedentariness when counselling.

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)0.004
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 score0.998
Threshold uncertainty score0.583

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.168
GPT teacher head0.463
Teacher spread0.295 · 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".

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Citations0
Published2020
Admission routes3
Has abstractyes

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