Knowledge of Diabetes among Adults at High Risk for Type 2 Diabetes in Kerala, India
Bibliographic record
Abstract
We aimed to study the knowledge of diabetes among high-risk individuals for diabetes in the Indian state of Kerala. The baseline data collected from 1007 participants of the Kerala Diabetes Prevention Program were analyzed. Diabetes knowledge was assessed using a scale adapted from a large nationwide study conducted in India. The composite score of the scale ranges from 0 to 8. The mean age of participants was 46.0 (SD: 7.5) years, and 47.2% were female. The mean diabetes knowledge score was 6.9 (SD: 2.1), with 59.5% having the maximum possible score of 8. Of 1007 participants, 968 (96.1%) had heard the term diabetes, and of them, 84.7% know what diabetes is, 87.2% think more and more people are getting diabetes nowadays, 79.6% know that diabetes can cause complications in organs, and 75.9% know that diabetes can be prevented. While the level of diabetes knowledge was high among our participants, a quarter of them (24.1%) were not aware that diabetes can be prevented. Thus, there is a need for health promotion programs to increase the knowledge of diabetes prevention among high-risk individuals in Kerala.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".