Table 5 Binary logistic regression to explain the chance of being obese (n = 40,165)
From: Prevalence of obesity and associated health risks in soldiers of the German Armed Forces
B coefficient | SE | p-value | Odd’s ratio | Odd’s ratio 95%CI | ||
|---|---|---|---|---|---|---|
lower bound | upper bound | |||||
Gender | 1.329 | .080 | .000 | 3.776 | 3.225 | 4.420 |
Age | -.030 | .002 | .000 | .970 | .966 | .974 |
Waist | .249 | .003 | .000 | 1.283 | 1.276 | 1.290 |
Officer’s rank | .218 | .053 | .000 | 1.244 | 1.121 | 1.380 |
Combat unit | -0.121 | .055 | .029 | .886 | .795 | .988 |
Intercept | -24.996 | .295 | .000 | .000 | ||