Association between C-reactive protein and physical performance in older populations: results from the International Mobility in Aging Study (IMIAS)
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: C-reactive protein (CRP) is a widely used cardiovascular risk marker, but questions remain about its role in the disability process in old age. This study examines the associations between CRP levels and physical performance in old age in different societies. METHODS: data were collected during the baseline survey of IMIAS in 2012 in Kingston (Canada), Saint-Hyacinthe (Canada), Manizales (Colombia) and Natal (Brazil). Approximately 200 men and 200 women aged 65-74 were recruited at each site. CRP was assessed using a high sensitivity assay and categorised as low (<1 mg/l), moderate (1-3 mg/l), high (3-10 mg/l) and very high (≥10 mg/l). Participants were interviewed at home; blood pressure, weight and height were measured. Physical function was assessed with the Short Physical Performance Battery (SPPB) and hand grip strength. Data were analysed using descriptive statistics, bivariate analysis (χ²) and linear or logistic regression. RESULTS: CRP was significantly associated with low hand grip strength and poor physical performance in bivariate analyses. Hand grip strength association with CRP disappeared after adjustment by socioeconomic factors and health behaviours. The odds of poor physical function was OR = 2.67 [95% CI 1.43-4.99] comparing the highest and lowest CRP categories after adjustment by relevant covariates. The three SPPB components were assessed separately. Graded associations between low CRP and faster gait speed and shorter time to rise from a chair were observed in adjusted models. Association between impaired balance and CRP was attenuated after adjustment by relevant covariates, OR = 1.15 [0.65-2.04]. CONCLUSIONS: CRP could be a possible pathway from inflammation to physical decline in older populations.
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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".