Prevalence of natural health product use in healthy postmenopausal women
Bibliographic record
Abstract
OBJECTIVES: Population studies examining dietary supplement use reveal that users are more likely to be women of older age, yet there are few focused studies among postmenopausal women. The purpose of this study was to determine the prevalence of natural health product (NHP) use, as well as the attitudes and motivations associated with NHP use, among postmenopausal women. DESIGN: Healthy postmenopausal women were recruited from shopping malls and community centers to complete a questionnaire that collected information regarding use of NHPs; attitudes and motivations about NHPs; and demographic, health, and lifestyle characteristics. RESULTS: The prevalence of NHP use among the 204 subjects was 83.3%. There were no significant differences in characteristics between NHP users and non-users, with the exception of a lower body mass index among NHP users (P = 0.01). The most commonly consumed NHP was calcium, followed by multivitamins/minerals, vitamin C, and vitamin E. Almost all NHP users (98.8%) believed that NHPs improved their overall health, and most (70.6%) attributed specific positive effects to their NHPs. Three quarters of NHP users believed that their NHPs could not cause adverse effects, and 64.2% believed that their NHPs could not interact negatively with medications. The most common source of NHP information was magazines/books, and 71.8% of NHP users indicated they did not need further information about their NHPs. CONCLUSIONS: In this study, we found that the prevalence of NHP use among a sample of 204 healthy postmenopausal women was 83.3% and that, apart from body mass index, there were no variables that predicted NHP use.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".