Carbohydrate Knowledge Observed to be Low in Vietnamese Women With Gestational Diabetes Mellitus
Bibliographic record
Abstract
Objective To assess carbohydrate knowledge of Vietnamese women with gestational diabetes mellitus (GDM) and explore factors associated with carbohydrate knowledge. Methods Vietnamese women (n = 100) with GDM completed an online questionnaire about self-efficacy in managing blood glucose, the habit of regularly self-monitoring blood glucose activities at home, and an adapted culturally tailored carbohydrate quiz for the target population. Results Participants (30 ± 4 years) answered on average 51% of the carbohydrate knowledge questions correctly, showing most difficulty in identifying honey, milk, and orange juice as carbohydrate sources. Only 46% of participants correctly identified carbohydrate content on nutrition labels, and 58% practice self-monitoring blood glucose activities at home. Carbohydrate knowledge was positively associated with self-efficacy in blood glucose management ( r 2 = 0.101, P = 0.003) and practicing self-monitoring blood glucose (r 2 = 0.064, P = 0.013). Conclusions and Implications There is a need to provide nutrition education about carbohydrate knowledge and blood glucose control to Vietnamese women to manage GDM.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".