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Record W6958441861 · doi:10.6084/m9.figshare.9931694

A retrospective study on the acceptability, feasibility, and effectiveness of LoveYourBrain Yoga for people with traumatic brain injury and caregivers

2019· article· en· W6958441861 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2019
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsTraumatic brain injuryPsychoeducationRehabilitationQuality of life (healthcare)Retrospective cohort studyAffect (linguistics)Psychological resilienceCognitionTraumatic stress

Abstract

fetched live from OpenAlex

Purpose: To conduct a mixed methods, pre-post, retrospective study on the feasibility, acceptability, and effectiveness of the LoveYourBrain Yoga program. Materials and Methods: People were eligible if they were a traumatic brain injury survivor or caregiver, age 15–70, ambulatory, and capable of gentle exercise and group discussion. We analyzed attendance, satisfaction, and mean differences in scores on Quality of Life After Brain Injury Overall scale (QOLIBRI-OS) and four TBI-QOL/Neuro-QOL scales. Content analysis explored perceptions of benefits and areas of improvement. Results: 1563 people (82.0%) participated ≥1 class in 156 programs across 18 states and 3 Canadian provinces. Mean satisfaction was 9.3 out of 10 (SD 1.0). Mixed effects linear regression found significant improvements in QOLIBRI-OS (B 9.70, 95% CI: 8.51, 10.90), Resilience (B 1.30, 95% CI: 0.60, 2.06), Positive Affect and Well-being (B 1.49, 95% CI: 1.14, 1.84), and Cognition (B 1.48, 95% CI: 0.78, 2.18) among traumatic brain injury survivors (n = 705). No improvement was found in Emotional and Behavioral Dysregulation, however, content analysis revealed better ability to regulate anxiety, anger, stress, and impulsivity. Caregivers perceived improvements in physical and psychological health. Conclusions: LoveYourBrain Yoga is feasible and acceptable and may be an effective mode of community-based rehabilitation.IMPLICATIONS FOR REHABILITATIONPeople with traumatic brain injury and their caregivers often experience poor quality of life and difficulty accessing community-based rehabilitation services.Yoga is a holistic, mind-body therapy with many benefits to quality of life, yet is largely inaccessible to people affected by traumatic brain injury in community settings.Participants in LoveYourBrain Yoga, a six-session, community-based yoga with psychoeducation program in 18 states and 3 Canadian provinces, experienced significant improvements in quality of life, resilience, cognition, and positive affect.LoveYourBrain Yoga is feasible and acceptable when implemented on a large scale and may be an effective mode of, or adjunct to, community-based rehabilitation. People with traumatic brain injury and their caregivers often experience poor quality of life and difficulty accessing community-based rehabilitation services. Yoga is a holistic, mind-body therapy with many benefits to quality of life, yet is largely inaccessible to people affected by traumatic brain injury in community settings. Participants in LoveYourBrain Yoga, a six-session, community-based yoga with psychoeducation program in 18 states and 3 Canadian provinces, experienced significant improvements in quality of life, resilience, cognition, and positive affect. LoveYourBrain Yoga is feasible and acceptable when implemented on a large scale and may be an effective mode of, or adjunct to, community-based rehabilitation.

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)0.004
metaresearch head score (Gemma)0.011
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 score0.010
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
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)0.0010.000

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 head0.088
GPT teacher head0.362
Teacher spread0.274 · 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
Published2019
Admission routes1
Has abstractyes

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