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Record W1532730922 · doi:10.4137/imi.s2281

A Complementary Alternative Medicine Questionnaire for Young Adults

2009· article· en· W1532730922 on OpenAlexaff
Christine Patterson, Heather M. Arthur

Bibliographic record

VenueIntegrative Medicine Insights · 2009
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsCronbach's alphaInternal consistencyYoung adultScale (ratio)Clinical psychologyPsychologyCross-sectional studyPopulationMedicinePsychometricsGerontologyEnvironmental health

Abstract

fetched live from OpenAlex

Limited information exists on how adolescents decide to use complementary/alternative medicine (CAM). There are also no instruments specific to CAM, for the young adult population, which makes it difficult to explore knowledge in this area. The purpose of this study was to develop and examine the psychometric properties of the CAM Questionnaire for Young Adults which measures young adults' attitudes about CAM. Participants for this cross-sectional survey were selected from enrolled undergraduate students at an urban university. Factor analysis identified three subscales: 1) positive beliefs about CAM; 2) environmental influence; and 3) psychological comfort. The scale has good internal consistency (Cronbach's alpha = 0.79) and shows beginning demonstration of validity. Its use in this sample revealed that young adults who are female and have used CAM in the past for preventing or treating illness have the most positive attitude towards CAM and the greatest likelihood for continued use. The implication that prevention may play a role in young adults' attitudes about CAM is a potential focus for future research.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0130.002

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 head0.041
GPT teacher head0.361
Teacher spread0.319 · 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".

Quick stats

Citations34
Published2009
Admission routes1
Has abstractyes

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