A Diabetes and Obesity Crisis: Preliminary Study of Lifestyle, Diet, Knowledge and Attitude of Malaysian Pharmacy Undergraduates Towards Type-2 Diabetes
Bibliographic record
Abstract
Background: Patient education and self-care are important not only for diabetes prevention but also chronic disease management. Community pharmacists are an ideal position to play a role in providing medicines management, lifestyle and preventative advice specific to type-2 diabetes care, Malaysian pharmacists must be ready and willing to firmly establish such clear roles and as such, undergraduate pharmacy students need to be equipped with the skills and mind-set to accept such a challengeObjective: To explore knowledge and awareness of pharmacy undergraduate students at Universiti Technology MARA (UiTM) towards diabetes risk factors. To identify potential diabetes risk factors by evaluating dietary intake and to determine students’ attitude towards their future roles as health care providers.Method: 159 Malaysian third-year undergraduate pharmacy students were provided a questionnaire and a two-day food diary. The questionnaire consisted of four sections to examine demographics, lifestyle and diet, together with knowledge of diabetes and the perception of pharmacists’ role.Results: A total of 113 completed questionnaires were received. 20% of the respondents were overweight or obese and 21% had elevated blood pressure. 95% of students consumed only 50% of the recommend daily calorie intake for adults. Students however possessed good knowledge of diabetes with a positive attitude towards pharmacist roles in healthcare.Conclusion: Overall, the health status of Malaysian pharmacy students is very similar to the general population, displaying similar risk factors and dietary habits despite their status as future healthcare professionals. Students do however display a good knowledge of diabetes and appear positive towards their roles as future pharmacists.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".