Self-Care Dimensions of Complementary and Alternative Medicine Use among Older Adults
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
BACKGROUND: There is a lack of understanding about the patterns and rates of CAM use among older adults owing to a lack of research on specific types of CAM. OBJECTIVES: This study examines several dimensions of self-care deemed to be associated with CAM. Unmet health care needs, self-care attitudes, and spirituality are interpreted as health belief structures underlying CAM. METHODS: Logistic regression analysis was used to examine use of three groups of practitioner-based CAM: (a) chiropractic; (b) massage, and (c) acupuncture, homeopathy and/or naturopathy use. We analyze a subsample of 4,401 older adults drawn from the 1996/1997 and 1998/1999 waves of the Canadian National Population Health Survey. RESULTS: The logistic regression analyses indicate that self-care attitude and spirituality represent important predictors of practitioner-based CAM use. The associations for unmet health care needs were not supported. The strongest factors associated with CAM use were the illness context variables, which suggest that measures of need are key factors in leading individuals to seek other forms of health care. DISCUSSION: Practitioner-based CAM use among older adults is influenced by self-care attitude and spirituality, in addition to health status, but to varying degrees depending on the type of CAM. Support of these self-care facets suggests that there is a desire on the part of consumers to exercise choice and to participate in health care decisions when considering 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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