Prevalence and Characteristic of Dietary Supplement Users in Malaysia: Data From the Malaysian Adult Nutrition Survey (MANS) 2014
Bibliographic record
Abstract
BACKGROUND: There has been an increase trend of dietary supplements intake among Malaysians over the last decade. The aim of this study was to determine the prevalence and characteristic of dietary supplements users among adults in Malaysia. METHODS: Data of 3000 respondents aged 18–59 years from the Malaysian Adult Nutrition Survey (MANS) 2014 were utilized. A multi-stage stratified sampling method was employed and eligible respondent from each household was selected using Kish method. Validated questionnaire was used to gather information on vitamin/mineral supplements (VMS) and food supplements (FS). Descriptive analysis and multiple logistic regressions were conducted using SPSS version 20.0. RESULTS: The prevalence of VMS and FS intakes among adults in Malaysian were 28.1% and 34.0% respectively. Women, older aged adults with higher education level and monthly income were more likely to consume dietary supplements. Vitamin C and multivitamin/ multimineral, were the commonest VMS consumed by the respondents. The most common FS taken were fish oil and royal jelly. The main causes for dietary supplements intake include for health reasons, doctor’s prescription, to increase energy level and for beauty. CONCLUSIONS: About one third of the Malaysian adults took variety of dietary supplements. Thus, information based on the scientific evidences of health benefits for each type of the dietary supplements is needed to enable consumers to make informed choices on the dietary supplements.
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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 | 0.003 | 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 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".