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Record W1988571402 · doi:10.1186/1472-6882-12-s1-o48

OA12.04. The role of mind-body awareness in complementary and alternative medicine (CAM) outcomes

2012· article· en· W1988571402 on OpenAlexaff
Fuschia M. Sirois, Carla Bann, Erin Walsh

Bibliographic record

VenueBMC Complementary and Alternative Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsBishop's University
Fundersnot available
KeywordsMedicineAlternative medicineAutonomyEmpowermentOutcome (game theory)Perspective (graphical)Mind–body problemIntegrative medicinePatient EmpowermentPathology

Abstract

fetched live from OpenAlex

A sample of 243 undergraduate students (mean age = 23.5, 84% female) screened for current use of CAM completed a survey including questions about their CAM use, perceived health-related outcomes from their use of CAM, a measure of CAM provider autonomy support, and a new 8-item measure of Mind-body Awareness (MBA). Bivariate analyses confirmed the associations among MBA, autonomy support, CAM use and positive CAM-related health behavior (diet, weight loss, exercise) and symptom (sleep quality, mood, energy levels, concentration) changes. Path analysis controlling for demographics tested the proposed model of CAM use predicting provider autonomy support, which in turn predicts MBA and the two CAM-related outcomes. The model fit well to the data, CFI = 0.96, TLI = 0.93, RMSEA = .03, supporting the hypotheses that CAM use enhances MBA via increased autonomy support, and MBA contributes to positive symptom and health behavior changes from CAM use. Our findings extend previous research on body awareness by linking it to CAM-related symptom and behavioral outcomes in a sample of young adult CAM consumers, and further suggest a route through which provider support may enhance CAM outcomes.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.071
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.090
GPT teacher head0.380
Teacher spread0.291 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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