Table 5.
Factors associated with low energy and low protein intakes using multivariate regression analysis in 300 TB patients
| Associated factors | OR (95% CI) | P | ||
|---|---|---|---|---|
| Energy | Age | 18–49 | 1.0 | |
| 50–64 | 1.010 (0.452, 2.260) | 0.9800 | ||
| ≥65 | 1.916 (0.560, 6.555) | 0.3002 | ||
| Gender | Male | 1.0 | ||
| female | 0.512 (0.246, 1.067) | 0.0741 | ||
| Area | Lin county | 1.0 | ||
| Linyun county | 0.631 (0.286, 1.394) | 0.2550 | ||
| Severity | mild | 1.0 | ||
| severe | 1.192 (0.546, 2.605) | 0.6595 | ||
| Occupation | Employed | 1.0 | ||
| Unemployed | 3.542 (1.471, 8.530) | 0.0048 | ||
| Annual household income | < 20,000 | 1.0 | ||
| 20,000-40,000 | 1.242 (0.536, 2.877) | 0.6132 | ||
| ≥40,000 | 0.366 (0.115, 1.163) | 0.0885 | ||
| Protein | Age | 18–49 | 1.0 | |
| 50–64 | 1.460 (0.490, 4.353) | 0.4927 | ||
| ≥65 | 0.985 (0.285, 3.401) | 0.9813 | ||
| Gender | Male | 1.0 | ||
| female | 1.133 (0.468, 2.741) | 0.7817 | ||
| Area | Lin county | 1.0 | ||
| Linyun county | 1.284 (0.489, 3.370) | 0.6122 | ||
| Severity | mild | 1.0 | ||
| severe | 0.690 (0.266, 1.792) | 0.4461 | ||
| Eating out-of-home | No | 1.0 | ||
| Yes | 0.328 (0.133, 0.809) | 0.0155 | ||
Note: Intake above RNI/AI was assigned as 0, intake below RNI/AI was assigned as 1. The sample size of analysis of annual household income was 235