Table 4.
Multiple logistic regression models to test the association of sarcopenia and dynapenia with risk factors in 387 elderly residents in Cuiabá (MT), Brazil (2010).
| Variables | Sarcopenia Model | Dynapenia Model | ||||
|---|---|---|---|---|---|---|
| OR | CI 95% | P-value | OR | CI 95% | P-value | |
| Age (years) | ||||||
| 65-69 | 1.00 | 1.00 | ||||
| 70-74 | 1.80 | (0.70-4.61) | 0.216 | 1.17 | (0.66-2.07) | 0.571 |
| 75-79 | 2.85 | (1.08-7.55) | 0.033 | 0.65 | (0.32-1.31) | 0.229 |
| 80 or more | 8.08 | (3.03-21.58) | 0.000 | 0.96 | (0.47-1.96) | 0.913 |
| Men | 1.19 | (0.55-2.57) | 0.715 | 0.13 | (0.07-0.23) | 0.000 |
| Race white (yes) | 3.02 | (1.53-5.92) | 0.001 | 0.66 | (0.41-1.07) | 0.093 |
| Smoking (Yes) | 2.87 | (1.15-7.17) | 0.024 | 1.07 | (0.50-2.27) | 0.853 |
| Alcoholism (Yes) | 1.62 | (0.76-3.47) | 0.214 | 1.04 | (0.58-1.86) | 0.887 |
| Nutritional risk (CC ≤ 31 cm) | 11.14 | (5.42-22.88) | 0.000 | 0.50 | (0.27-0.93) | 0.027 |
| Physically active (yes) | 1.17 | (0.59-2.33) | 0.641 | 1.09 | (0.67-1.75) | 0.714 |
| Falls in the last year (yes) | 0.74 | (0.37-1.50) | 0.413 | 1.49 | (0.92-2.40) | 0.102 |
| Hospitalization (yes) | 0.84 | (0.38-1.88) | 0.678 | 2.10 | (1.15-3.82) | 0.015 |
OR = odds ratio; CI = confidence interval; CC = calf circumference.