Association of the level of cognition and obesity among middle-aged adults in Sri Lanka
Bibliographic record
Abstract
Background: Cognition is the collection of an intellectual process, such as perception, thinking, and reasoning for goal-directed behaviours. The obesity-associated cognitive functions (CFs) was varied due to inconsistency of the findings and it is also context bounded. The objective was to assess the association between cognitive function and obesity among middle-aged adults in Sri Lanka.Methods: A descriptive study was conducted among middle-aged adults aged between 50-60 years in Colombo District, Sri Lanka. While Generalized obesity was estimated by the WHO cutoff of body mass index (BMI) while the central obesity was determined using and waist hip ratio (WHR). CFs was assessed using a validated Montreal cognitive assessment (MoCA) and the Mini-mental state examination (MMSE) tools.Results: The study sample consisted of 83 subjects of each obese and normal weight categories, while 50% were females. Middle-aged adults with obesity showed significantly lower CF scores in both MoCA and MMSE compared to the normal-weight adults (p<0.01). In addition, lower MMSE scores were significantly associated with high WHR values (p<0.05). The level of education of adults was a significant predictor of cognitive functions among middle-aged adults (p<0.05).Conclusions: Therefore, the results further confirmed that obesity-associated cognitive impairment among middle-aged adults and further research is warranted to clarify the cause and effect relationship between obesity and body composition.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".