A study of correlation between body mass index and cognitive performance of undergraduate medical students
Bibliographic record
Abstract
Background: Obesity affects our body in different manner and considered as an important public health problem. Various cognitive functions of brain get affected by high body mass index (BMI > 30 Kg/m²). Aims and Objectives: This study aims to study the correlation of BMI with cognitive performance of undergraduate medical students. Materials and Methods: A total of 230 medical students were selected in random manner in a medical college. Informed consent was given by all study subjects. All study subjects were informed about tests to be performed. Quetlets formula was used to measure BMI. Montreal Cognition Assessment Test was used to check cognitive functions in medical students. Results: There was significant negative correlation between BMI and cognitive function score in overweight and obese category (P < 0.05). Proportion of study subjects with cognitive function score [Natl J Physiol Pharm Pharmacol 2019; 9(6.000): 489-492]
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".