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Record W2794018683 · doi:10.1177/2164956118763523

Yoga for Young Adults With Noncurative Cancer: A Brief Report

2018· article· en· W2794018683 on OpenAlexafffund
Hillary Woodside, S. Nicole Culos‐Reed, Marie‐Claude Grégoire, Robert Rutledge, Melanie R. Keats

Bibliographic record

VenueGlobal Advances in Health and Medicine · 2018
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of CalgaryIzaak Walton Killam Health CentreDalhousie University
FundersBeatrice Hunter Cancer Research Institute
KeywordsPsychologyMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: The practice of yoga has been shown to improve disease- and treatment-related side effects in the noncurative cancer patient. OBJECTIVE: This user experience study aimed to examine the feasibility and usefulness of a DVD-based yoga program for young adult cancer patients with a noncurative diagnosis. METHODS: Participants were asked to partake in a 7-week DVD-based yoga program and complete measures of program use and usefulness. RESULTS: Nine patients expressed study interest and 5 consented to participate. Four completed the full study protocol. Participants reported being satisfied with the program and described that it provided an opportunity for self-care. Improvements in functional, physical, and spiritual well-being and overall quality of life were found. Barriers included competing time demands and feeling unwell. No adverse events were reported. CONCLUSION: The program was viewed as an accessible and useful activity option; however, a desire for greater social support from relatable others was highlighted.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.025
GPT teacher head0.431
Teacher spread0.407 · 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 designNon-randomized trial
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

Citations13
Published2018
Admission routes2
Has abstractyes

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