RELATIONSHIPS BETWEEN NUTRIENT INTAKES AND PHYSICAL FUNCTION IN OLDER ADULTS WITH KNEE OSTEOARTHRITIS
Bibliographic record
Abstract
Nutrient imbalances may have detrimental effects on physical function and contribute to disability in older adults. PURPOSE: To investigate the associations between nutrient intake, physical function and physical performance tasks in overweight and obese older adults with impairments in physical function. METHODS: Data for this analysis were obtained from the baseline results of the Arthritis, Diet, and Activity Promotion Trial (ADAPT). ADAPT was an 18-month randomized clinical trial that investigated the effect of weight loss, exercise or their combination on self-reported physical function in 316 sedentary, older, overweight and obese adults (mean age = 68.6 years) with symptomatic knee OA and self-reported disability. Nutrient intake data were obtained at baseline measurements from a randomized cohort of 93 participants using 24-hour dietary recalls. Self-reported physical function and pain were measured using the Western Ontario and McMaster University Osteoarthritis Index (WOMAC). Physical performance tasks included the 6-minute walk distance and stair climb time. Statistical analysis included Pearson Correlations between nutrient intake and WOMAC variables and physical performance tasks. RESULTS: We observed few significant correlations between physical performance tasks and WOMAC variables with vitamin and mineral intakes. Significant correlations were seen between 6-minute walk distance and calorie intake (r = 0.298), saturated fat intake (r = 0.264) and cholesterol (r = 0.310). Similarly, stair climb time was correlated with calorie intake (r = −0.247), cholesterol (r = −0.237) and saturated fat intake (r = −0.181, p = 0.09). Pain score also showed a significant correlation with cholesterol (r = 0.228), and a trend for significance with calorie intake (r = 0.178, p = 0.09). CONCLUSIONS: Our findings indicate that the intakes of calories, saturated fat, and cholesterol are related to performance in physical tasks among older adults with self-reported disability.
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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 | 0.001 | 0.003 |
| 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) | 0.001 | 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".