FAT DEPOSITION IN THE NUCHAL REGION IS ASSOCIATED WITH INSULIN RESISTANCE AND LOW METABOLIC CLEARANCE RATE OF GLUCOSE IN ADULT MALES
Bibliographic record
Abstract
Background: The role of classical proxies for obesity such as the body mass index (BMI) and waist circumference (WC) in the development of insulin resistance (IR) is well reported. However, there is the dearth of information on the association between subcutaneous fat deposition in the nuchal region and the development of IR.Objective: This study determined the interplay between thickness of cervical fat fold (CFF) and development of IR.Methods: Fifty adult males with CFF and 50 males without CFF were enrolled into this study. Standard Oral Glucose Tolerance Testing (OGTT) was performed and fasting plasma glucose (FPG), 2 hours post prandial glucose (2hrPPG), lipids, fasting insulin (FI), 2 hours postprandial insulin (2hrPPI) levels were determined. Thereafter, indices of IR and estimated metabolic clearance rate of glucose (eMCR) were calculated using standard formula.Results: Levels of FI, 2hrPPI and the median values of indices of IR were significantly higher while median values of indices of insulin sensitivity and eMCR were significantly lower in CFF compared with the controls. Predicting the diagnostic property of CFF for insulin sensitivity with reference to Quantitative Insulin Sensitivity Check Index (QUICKI) cut-off values, the Area Under the Receiver Operating Characteristic Curve (AUROC) was 0.695 (P-value = 0.043) and a CFF cut-off value of 12.5 cm had 75% sensitivity and 55.3% specificity.Conclusion: Adult males with CFF have IR and low eMCR and are thus, prone to developing cardiovascular and metabolic diseases. Also, CFF thickness appears to be a good anthropometric index of insulin resistance.
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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 | 0.000 |
| 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) | 0.002 | 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".