Association between Frailty Syndrome and Anemia in Community-Dwelling Elderly
Bibliographic record
Abstract
Frailty is an important and complex phenomenon in the fields of geriatrics and gerontology and a highly relevant topic. Frailty syndrome (FS) is a multidimensional clinical condition characterized by loss of physiological and cognitive reserves across multiple organ systems. The Fried frailty phenotype is the main model used to categorize FS. Recent studies have shown an association between anemia, low hemoglobin concentration and frailty. This study aimed to assess the association between FS and anemia in community-dwelling elderly. An observational cross-sectional design was used, with 308 elderly subjects. Most participants were women (78.2%) between 60 and 69 years old (50.6%). The average schooling level was 9.7 years. Anemia was detected in 9.7% of participants. The frequency of frailty, pre-frailty and non-frailty was 8.2, 74.0 and 17.8%, respectively. The multivariate ordinal logistic regression model identified low levels of brain-derived neurotrophic factor (BDNF) (OR = 0.9, 95% CI = 0.9; 0.9) as risk factor associated with FS. No significant association was found between frailty and anemia. Moreover, FS may be influenced by low schooling levels, despite the non-significant result obtained in the statistical model. These findings contribute to elucidating other factors associated with FS, especially in community-dwelling elderly.
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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 | 0.003 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".