US Filipino Adults' Patterns of CAM Use and Medical Pluralism: Secondary Analysis of 2012 National Health Interview Survey
Bibliographic record
Abstract
The cultural health beliefs of the Filipino population and colonial history of medicine in the Philippines could mean high use of complementary and alternative therapies (CAM) and increased engagement in medical pluralism (i.e., combined use of conventional medicine and CAM) among the U.S. Filipino population, the fourth largest immigrant group in the United States. However, there is limited research regarding U.S. Filipinos' health behaviors related to CAM use and medical pluralism engagement. The purpose of this study was to explore patterns of CAM use and medical pluralism practices of Filipino adults living in the United States. Data from Filipino adult respondents of the 2012 National Health Interview Survey adult CAM supplement were analyzed to determine most common CAM used, most common conditions for which CAM was used as a treatment, reasons for using CAM for treatment of health conditions, and sources of recommendations for CAM as a treatment in this population. Dietary supplements were the most common CAM used by Filipino adults living in the United States. A small number of U.S. Filipino adults reported using CAM to treat pain-related and cardiovascular conditions, with the most common source of recommendations coming from friends and family members. Most common reasons for using CAM for treatment of health condition were: CAM is natural; CAM had a holistic approach, and CAM could be taken/practiced independently. Based on the findings of the study, Filipino adults living in the United States engage in a pluralistic approach to health by using CAM for treatment of health conditions. Analysis of the 2012 NHIS adult CAM supplement provided an overview of Filipino adults' patterns of CAM use and medical pluralism; however, future research is still needed to explain such health behavior patterns.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".