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Record W3112387349 · doi:10.3148/cjdpr-2020-028

Nutrition Education Seminars for Prostate Cancer—Diet and Prostate Program: Evaluation and Recommendations (DAPPER Study)

2020· article· en· W3112387349 on OpenAlexvenueno aff
Eleah J. Stringer, Satnam Sidhu, Karina Austin, Cheri Cosby

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
Fundersnot available
KeywordsAttendanceNutrition EducationMedicineProstate cancerThematic analysisGerontologyFamily medicinePopulationNutrition informationGynecologyPhysical therapyMedical educationCancerInternal medicineEnvironmental healthQualitative research

Abstract

fetched live from OpenAlex

Nutrition is important for prostate cancer (PCa) care as it may influence PCa progression and risk of comorbid diseases. The aim of this pilot study was to assess changes in knowledge and satisfaction in men with PCa following attendance at a nutrition education seminar. Fifty-two men with PCa attended nutrition education seminars instructed by a Registered Dietitian. Participants completed the Revised General Nutrition Knowledge Questionnaire (GNKQ-R) preseminar and 2 weeks postseminar, along with a satisfaction survey. Increased nutrition knowledge was observed through a significant (P = 0.023) improvement in mean scores of 71.6% (P < 0.005) preseminar compared with 79.3% (P < 0.005) postseminar on the GNKQ-R. Participants reported the seminar as a satisfactory method for meeting their diet information needs. Using thematic analysis 3 themes emerged: importance of diet information, desire for an integrative approach, and the value of group learning. This pilot study found that a group nutrition education seminar may be an effective and satisfactory approach to fulfilling the dietary information needs of this population. Group education may be an economically sustainable approach with potential application in other tumour sites or health conditions.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.121
GPT teacher head0.476
Teacher spread0.355 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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