Obesity Measurement Index Is Associated With Hemoglobin A1c Level in Young Adult Without Diabetes: A Single-Center Cross-Sectional Study
Bibliographic record
Abstract
Background: Obesity is a public health problem in the world, which can lead to several risks of cardiovascular events, such as, diabetes mellitus type 2 and respiratory disorders. This study aimed to analyze the obesity measurements index and hemoglobin A1c (HbA1c) in young adults without diabetes. Methods: A cross-sectional study was conducted from February to March 2021 at the Hasanuddin University Hospital, Makassar, Indonesia. Ninety-nine subjects were included in this study. Obesity measurement index (body mass index (BMI), waist circumference, body fat percentage) and HbA1c level were measured for each subject. Statistical tests were performed using SPSS 22.0. Results: There was a significant correlation between BMI and HbA1c (P < 0.001). Also, waist circumference and body fat percentage in women group were significantly correlated with HbA1c (P = 0.002 and 0.045, respectively). Conclusions: Obesity measurement index is positively correlated with HbA1c levels in young adult without diabetes. So, the obesity measurement index can be used to determine the risk of diabetes mellitus J Endocrinol Metab. 2022;12(4-5):140-145 doi: https://doi.org/10.14740/jem823
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".