Table 2.
Logistic regression modelling the probability of not graduating with random intercepts for Academy, using Generalized Linear Mixed Models (GLIMMIX) analysis—push-ups, sit-ups, sit-and-reach, and VO2 max are used as categorical variables
| Characteristic | Crude analysis | Multivariable analysis* | Multivariable analysis** | |||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | |
| Gender | ||||||
| Reference (Male) | 1.00 | 1.00 | ||||
| Female vs. Male | 0.95 | (0.52, 1.76) | 0.32 | (0.12, 0.81) | ||
| Age | 1.04 | (1.01, 1.08) | 1.02 | (0.98, 1.06) | ||
| Weight | 1.01 | (1.00, 1.01) | 1.00 | (0.99, 1.00) | ||
| Push-ups | ||||||
| ≤20 vs. 41–60 | 3.76 | (2.13, 6.63) | 4.72 | (2.46, 9.06) | 5.18 | (2.30, 11.71) |
| 21–40 vs. 41–60 | 2.22 | (1.38, 3.57) | 2.29 | (1.38, 3.79) | 2.19 | (1.18, 4.07) |
| (41–60) | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference |
| ≥61 vs. 41–60 | 0.72 | (0.29, 1.78) | 0.80 | (0.32, 2.00) | 0.86 | (0.28, 2.68) |
| Sit-ups | ||||||
| ≤15 vs. 31–45 | 2.37 | (1.01, 5.59) | 1.81 | (0.73, 4.50) | 0.67 | (0.23, 1.92) |
| 16–30 vs. 31–45 | 2.00 | (1.31, 3.04) | 1.83 | (1.18, 2.85) | 0.84 | (0.48, 1.45) |
| Reference (31–45) | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference |
| ≥46 vs. 31–45 | 0.70 | (0.37, 1.33) | 0.77 | (0.40, 1.48) | 1.30 | (0.59, 2.85) |
| Sit and reach | ||||||
| <16 vs. 18–20 | 2.07 | (1.09, 3.96) | 1.82 | (0.93, 3.54) | 1.52 | (0.77, 3.03) |
| 16–18 vs. 18–20 | 1.61 | (0.87, 2.98) | 1.64 | (0.88, 3.05) | 1.50 | (0.78, 2.88) |
| Reference (18–20) | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference |
| ≥20 vs. 18–20 | 1.13 | (0.61, 2.08) | 1.09 | (0.58, 2.04) | 1.20 | (0.63, 2.28) |
| 1.5 mile run times | ||||||
| ≥15′20″ | 3.68 | (2.19, 6.21) | 3.55 | (1.94, 6.50) | 3.78 | (1.83, 7.83) |
| 15′20″–12′33″ | 1.69 | (1.07, 2.66) | 1.60 | (0.99, 2.59) | 1.34 | (0.75, 2.39) |
| 12′33″–10′37″ | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference |
| <10′37″ | 0.23 | (0.08, 0.64) | 0.22 | (0.08, 0.63) | 0.36 | (0.12, 1.07) |
*Each model adjusted for gender, age, and weight.
**Full model.