Associations between Emotional Eating and Metabolic Risk Factors at Adolescents with Obesity
Bibliographic record
Abstract
Purpose: This study aimed to determine whether emotional eating (EE) and uncontrolled eating (UCE) scores\n\naffect the metabolic risk factors in obese adolescents.\n\nMethods: A sample of 100 adolescents have BMI-SDS between 1.41 and 2.83 (aged 12-17 years) was selected. EE and\n\nUCE scores were estimated using the TFEQ21. The association of EE and UCE with anthropometric data, lipid profile,\n\nglucose profile, liver enzymes, and inflammation factors was assessed in boys and girls.\n\nResults: Using Spearman rank correlation, EE scores significantly correlated with uric acid (r = 0.393 and P = 0.001),\n\nCRP (r = 0.273 and P = 0.017), TG (r = 0.317 and P = 0.001), TC (r = 0.258 and P = 0.019) and VAI (r = 0.276 and P =\n\n0.034). Also UCE scores were showed positive correlation with CRP (r = 0.257 and P = 0.024).\n\nConclusion: In conclusion, interrelationships tend to exist between EE and triglyceride, uric acid, visceral adiposity index,\n\nand CRP levels among obese adolescents.
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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 | 0.000 | 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".