Assessment of the Nutritional Status of 202 Elderly People Living at Home in Sidi-Bel-Abbès (Western Algeria)
Bibliographic record
Abstract
Background: Malnutrition is common for elderly representing a major public health problem with many consequences for the health. Objectives: To assess the nutritional status of a population of elderly living at home. Subjects and Methods: The assessment was conducted from a population of elderly living at home who saw their doctor in the office of a public health centre. For each subject, the anthropometric parameters (weight, height, body mass index (BMI)), biochemical (serum albumin) and Mini Nutritional Assessment (MNA) tools have been measured and calculated. Results: 202 mostly female (56.44%) subjects aged 73.59 ± 5.87 years were included in this study. 78% were suffering from chronic diseases, the most frequent of which was diabetes (32%). 7.43% of the diseased population have BMI < 21, 5.94% experienced undernutrition (MNA < 17) and 68.81% are at risk of malnutrition (MNA: 17 - 23.50). According to serum albumin, 8.91% of the sample is considered to be malnourished. Conclusion: The MNA has proven to be a screening tool more sensitive than other tools (BMI and albumin) in the evaluation of nutritional risk.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".