TABLE 2.
Effect of non-medical plus medical variables on low phosphorus levels.
| Variable | Significance p | RR | 95% CI | ||
| Model 1 | Education level | 0.000 | |||
| Elementary | 0.006 | 2.26 | 1.26 | 4.05 | |
| High School | 0.865 | 0.95 | 0.508 | 1.76 | |
| Economic income | |||||
| Low | 0.053 | 0.60 | 0.360 | 1.07 | |
| Medium, high (reference) | |||||
| Model 2 | Education level | 0.130 | |||
| Elementary | 0.128 | 1.64 | 0.87 | 3.11 | |
| High School | 0.960 | 1.02 | 0.53 | 1.95 | |
| Economic income | |||||
| Low | 0.147 | 0.62 | 0.364 | 1.04 | |
| Medium, high (reference) | |||||
| Diabetes | 0.125 | 1.51 | 0.89 | 2.55 | |
| Albumin (g/dL) | 0.001 | 0.49 | 0.32 | 0.76 | |
| Age | 0.011 | 1.03 | 1.00 | 1.04 | |
Model 1 Logistic regression analysis with education level and economic income. Model 2; Model 1 plus diabetes, albumin and age.