Nutrition Program for Older Colombian Outpatients at Malnutrition Risk Prevents Decline of Functional Performance and Strength
Bibliographic record
Abstract
We assessed whether a comprehensive, nutrition-focused quality improvement program (QIP) prevented the decline of functional performance and strength among Colombian older adults presenting for outpatient care following a recent hospitalization and/or for chronic disease management. QIP patients classified as at-risk or malnourished based on the Mini Nutritional Assessment-Short Form (MNA-SF) received care from the outpatient clinical service of Hospital Universitario San Ignacio in Colombia between 09/2019–03/2020. Functional performance and strength were assessed via handgrip strength measurements utilizing a hand dynamometer pre and post QIP. Patients were followed for up to 12 weeks after baseline visit, received a 60-day supply of oral nutritional supplements (ONS; Ensure or Glucerna, Abbott, USA), and received nutrition and exercise counseling. Of 618 patients, 69.4% were female, with mean age of 74.1 (±8.7), and 2.6 (±1.5) comorbid conditions. 565 patients completed the functional performance and strength assessment pre and post QIP. Over 90 days, 61% of males and 54% of females improved their functional performance and strength. Patients 70 years old and younger were more likely to improve handgrip strength (OR = 2.7, p < 0.000). Patients that presented with low levels of grip strength at baseline also had a higher probability of improvement (OR = 2.4, p < 0.000). A comprehensive, nutrition-focused QIP for at-risk or malnourished outpatient older adults resulted in improved functional performance and strength among the QIP population. Results highlight the importance of nutrition care to alleviate the clinical burden of malnutrition by preventing the decline of functional performance and strength and promoting healthy aging. Study was financially supported by Abbott Nutrition.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".