COMPLEMENTARY AND ALTERNATIVE MEDICINE: USE IN AN OLDER POPULATION
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aging North American population validates increased research of complementary and alternative medicine (CAM) use by older adults. The purpose of this study was to examine older adults' attitudes and motivations toward CAM use in an attempt to explain its limited usage. Senior citizens (66 to 100 years) were qualitatively surveyed and interviewed to analyze trends in CAM use. Forty-two participants older than 65 completed a questionnaire and 10 of those same individuals participated in an interview session. Motivations for CAM use, prevalence of CAM use, knowledge of CAM, and physician attitudes were investigated. The results of the survey and interviews showed older adults' most prevalent motivations for using CAM were pain relief (54.8%), improved quality of life (45.2%), and maintenance of health and fitness (40.5%). Knowledge of CAM was extremely low across the entire sample, but a significant difference in knowledge level existed among CAM users and nonusers. The CAM therapies most commonly used by older adults were chiropractic (61.9%), herbal medicine (54.8%), massage therapy (35.7%), and acupuncture (33.3%). This sample of senior citizens perceived CAM treatments to be extremely beneficial. Increased education about CAM is needed for older adults and health professionals. Practitioners of CAM should try to understand older adults' motivations for using CAM therapies and be involved in educating older adults about CAM.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it