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Record W2024062149 · doi:10.3747/co.v15i0.284

Impact and Outcomes of an Iyengar Yoga Program in a Cancer Centre

2008· article· en· W2024062149 on OpenAlexaffvenue
M. D. Duncan, A. Leis, Jill Taylor‐Brown

Bibliographic record

VenueCurrent Oncology · 2008
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsCancerCare ManitobaUniversity of Saskatchewan
Fundersnot available
KeywordsMoodMedicineQuality of life (healthcare)Physical therapyClinical psychologyNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Individuals have increasingly sought complementary therapies to enhance health and well-being during cancer, although little evidence of their effect is available. OBJECTIVES: We investigated how an Iyengar yoga program affects the self-identified worst symptom in a group of participants. Whether quality of life, spiritual well-being, and mood disturbance change over the Iyengar yoga program and at 6 weeks after the program. How, from a participant's perspective, the Iyengar yoga program complements conventional cancer treatment. PATIENTS AND METHODS: This pre-post instrumental collective case study used a mixed methods design and was conducted at a private Iyengar yoga studio. The sample consisted of 24 volunteers (23 women, 1 man; 88% Caucasian; mean age: 49 years) who were currently on treatment or who had been treated for cancer within the previous 6 months, and who participated in ten 90-minute weekly Iyengar yoga classes. The main outcome measures were most-bothersome symptom (Measure Your Medical Outcome Profile 2 instrument), quality of life and spiritual well-being (Functional Assessment of Chronic Illness Therapy-General subscale and Spiritual subscale), and mood disturbance (Profile of Mood States-Short Form). Participant perspectives were obtained in qualitative interviews. RESULTS: Statistically significant improvements were reported in most-bothersome symptom (t((23)) = 5.242; p < 0.001), quality of life (F((2,46)) = 14.5; p < 0.001), spiritual well-being (F((2,46)) = 14.4; p < 0.001), and mood disturbance (F((2,46)) = 10.8; p < 0.001) during the program. At follow-up, quality of life (t((21)) = -3.7; p = 0.001) and mood disturbance (t((21)) = 2.4; p = 0.025) significantly improved over time. Categorical aggregation of the interview data showed that participants felt the program provided them with various benefits not included on the outcomes questionnaires. CONCLUSIONS: Over the course of the Iyengar Yoga for Cancer program, participants reported an improvement in overall well-being. The program was also found to present participants with a holistic approach to care and to provide tools to effectively manage the demands of living with cancer and its treatment.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.164
GPT teacher head0.515
Teacher spread0.352 · 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.

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

Citations53
Published2008
Admission routes2
Has abstractyes

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