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Record W2174944631 · doi:10.4278/0890-1171-20.3.192

Evaluating a Yogic Breathing and Meditation Intervention for Individuals Living with HIV/AIDS

2006· article· en· W2174944631 on OpenAlexafffund
Alison Brazier, Andrea Mulkins, Marja J. Verhoef

Bibliographic record

VenueAmerican Journal of Health Promotion · 2006
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
FundersHealth CanadaInternational Educational Foundation
KeywordsMeditationMedicineHuman immunodeficiency virus (HIV)Physical therapyIntervention (counseling)GerontologyRandomized controlled trialQualitative researchClinical psychologyMental healthQualitative propertyFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: To assess the effectiveness of a group program aimed at improving well-being among individuals living with HIV/AIDS. METHODS: A randomized controlled trial was used to evaluate a residential program designed to teach breathing, movement, and meditation techniques. Sixty-two participants were recruited from community HIV/AIDS organizations. Fifteen withdrawals from the study left 47 study participants. Standardized measures used were the Mental Health Index (MHI), the MOS-HIV Health Survey (MOS), and the Daily Stress Inventory (DSI), along with qualitative interviews. RESULTS: A repeated-measures analysis of variance indicated positive changes in well-being on the MHI and the MOS, where the effect was primarily seen immediately following the program and disappeared at later data points. The DSI indicated an increase in experience and impact of stress over time for the intervention group postprogram. Alternatively, the qualitative interviews described positive changes in how participants were living their day-to-day lives. CONCLUSION: In order to capture the outcomes of this program properly, both qualitative and quantitative measures are needed.

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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.061
GPT teacher head0.426
Teacher spread0.365 · 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

Citations56
Published2006
Admission routes2
Has abstractyes

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