Table 2.
Binary logistic regression analysis (dependent variable: non-frail vs. pre-frail or frail; n=118).
| OR | 95% CI for OR | P | ||
|---|---|---|---|---|
| Lower | Upper | |||
| MODEL 1 | ||||
| Age | 1.04 | 0.99 | 1.08 | 0.115 |
| Female sex | 3.38 | 1.45 | 7.87 | 0.005 |
| Sarcopenia by ASMM | 7.69 | 1.30 | 45.67 | 0.025 |
| Obesity by fat percentage | 1.18 | 0.45 | 3.08 | 0.732 |
| Sarcopenia by ASMM * Obesity by fat percentage | 0.64 | 0.05 | 7.99 | 0.732 |
| MODEL 2 | ||||
| Age | 1.03 | 0.99 | 1.08 | 0.145 |
| Female sex | 0.60 | 0.12 | 3.10 | 0.546 |
| ASMM | 0.46 | 0.25 | 0.87 | 0.016 |
| Fat percentage | 0.72 | 0.51 | 1.02 | 0.066 |
| ASMM * Fat percentage | 1.02 | 1.00 | 1.04 | 0.042 |
ASMM Appendicular Skeletal Muscle Mass, OR Odds Ratio, CI Confidence Interval.
*
denotes interaction term.