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Record W4323862685 · doi:10.1186/s40814-023-01244-y

Exploring feasibility, perceptions of acceptability, and potential benefits of an 8-week yoga intervention delivered by videoconference for young adults affected by cancer: a single-arm hybrid effectiveness-implementation pilot study

2023· article· en· W4323862685 on OpenAlexaff
Amanda Wurz, Emma McLaughlin, Kimberly A. Hughes, Kelsey Ellis, Amy Chen, Lauren A. Cowley, Heather Molina, Delaney Duchek, Maximilian Eisele, S. Nicole Culos‐Reed

Bibliographic record

VenuePilot and Feasibility Studies · 2023
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsAlberta Health ServicesUniversity of the Fraser ValleyUniversity of Calgary
Fundersnot available
KeywordsIntervention (counseling)VideoconferencingPhysical therapyPerceptionMedicinePsychologyPhysical medicine and rehabilitationGerontologyMultimediaNursingComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Young adults affected by cancer face physical and psychological challenges and desire online supportive care. Yoga can be delivered online and may improve physical and psychological outcomes. Yet, yoga has rarely been studied with young adults affected by cancer. To address this, an 8-week yoga intervention was developed, and a pilot study was deemed necessary to explore feasibility, acceptability, implementation, and potential benefits. METHODS: A mixed-methods, single-arm hybrid effectiveness-implementation pilot study evaluating the yoga intervention was conducted. Feasibility was assessed by tracking enrollment, retention, attendance, completeness of data, and adverse events. Acceptability was explored through interviews. Implementation metrics included training time, delivery resources, and fidelity. Potential effectiveness was evaluated by exploring changes in physical (i.e., balance, flexibility, range of motion, functional mobility) and psychological (i.e., quality of life, fatigue, resilience, posttraumatic growth, body image, mindfulness, perceived stress) outcomes at pre- (week 0), post- (week 8), and follow-up (week 16) time points. Data were analyzed with descriptive statistics, repeated measures analysis of variance, and content analysis. RESULTS: Thirty young adults participated in this study (recruitment rate = 33%). Retention to study procedures was 70%, and attendance ranged from 38 to 100%. There were little missing data (< 5%) and no adverse events. Though most participants were satisfied with the yoga intervention, recommendations for improvement were shared. Sixty study-specific training hours and > 240 delivery and assessment hours were accrued and fidelity was high. Functional mobility, flexibility, quality of life (energy/fatigue, social well-being), body image (appearance evaluation), mindfulness (non-reactivity), and perceived stress improved significantly over time (all p< 0.050; [Formula: see text]). No other significant changes were observed (all p> 0.050; [Formula: see text]). CONCLUSIONS: The yoga intervention may confer physical and psychological benefits, though intervention and study-specific modifications are required to improve feasibility and acceptability. Requiring study participation and providing greater scheduling flexibility could enhance recruitment and retention. Increasing the frequency of classes offered each week and offering more opportunities for participant interaction could improve satisfaction. This study highlights the value of doing pilot work and provides data that has directly informed intervention and study modifications. Findings could also be used by others offering yoga or supportive care by videoconference to young adults affected by cancer. TRIAL REGISTRATION: Not available-not registered.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.317
GPT teacher head0.442
Teacher spread0.124 · 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

Citations19
Published2023
Admission routes1
Has abstractyes

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