Nutritional status in older adults with mild cognitive impairment living in elderly homes in Cairo, Egypt
Bibliographic record
Abstract
OBJECTIVES: To delineate the difference in nutritional risk between older adults with normal cognitive function and mild cognitive impairment living in elderly homes. DESIGN: Cross-sectional study. SETTING: Three elderly homes in Cairo, Egypt. PARTICIPANTS: One hundred twenty older adults; men and women aged 60 years and older. MEASUREMENTS: Comprehensive geriatric assessment was done for every participant to evaluate medical, functional, cognitive and affective aspects. Nutritional status was assessed by using the mini-nutritional assessment (MNA). Nutritional deficit was considered to be present if the individuals were classified as malnourished or at nutritional risk by means of the MNA. The cognitive function was assessed by using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). RESULTS: MCI was identified in 46 (38.3%) of the participants. According to the MNA classification, 58 (48.3%) of the sample study was assessed as well nourished, 49 (40.8%) at risk of malnutrition and 13 (10.8%) as malnourished. Older adults with MCI had significantly higher frequency of being at risk of malnutrition or malnourished than those with normal cognition. Multiple logistic regression analysis revealed that the associations between MCI and nutritional deficit remained significant after adjustment for age, illiteracy, female gender and depression. CONCLUSION: These results suggest that MCI may be associated with nutritional risk, which emphasizes the importance of early identification of nutritional status among individuals with MCI. It remains to be demonstrated whether improvement in nutritional status may improve the cognitive function or delay progression to dementia in these patients.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".