Table 4.
Factors associated with low energy and low protein intakes using univariate regression analysis in 300 TB patients
| Associated factors | Energy | Protein | |||
|---|---|---|---|---|---|
| OR (95%CI) | P | OR (95%CI) | P | ||
| Socio-demographic factors | |||||
| Age | 18–49 | 1.0 | 1.0 | ||
| 50–64 | 1.032 (0.498, 2.138) | 0.9319 | 2.039 (0.730, 5.698) | 0.1741 | |
| ≥65 | 2.252 (0.746, 6.797) | 0.1499 | 1.542 (0.498, 4.778) | 0.4530 | |
| Area | Lin county | 1.0 | 1.0 | ||
| Linyun county | 0.639 (0.329, 1.240) | 0.1856 | 1.509 (0.676, 3.369) | 0.3158 | |
| Gender | male | 1.0 | 1.0 | ||
| female | 0.704 (0.358, 1.386) | 0.3098 | 1.092 (0.460, 2.593) | 0.8415 | |
| Severity | mild | 1.0 | 1.0 | ||
| severe | 0.851 (0.425, 1.704) | 0.6486 | 0.859 (0.370, 1.911) | 0.7224 | |
| Education | Primary school and below | 1.0 | 1.0 | ||
| Junior middle school and above | 1.503 (0.547, 2.207) | 0.8780 | 0.923 (0.418, 2.037) | 0.8429 | |
| Marriage | Married | 1.0 | 1.0 | ||
| unmarried | 1.708 (0.781, 3.735) | 0.1797 | 0.859 (0.370, 1.991) | 0.7224 | |
| Occupation | Employed | 1.0 | 1.0 | ||
| Unemployed | 3.364 (1.499, 7.550) | 0.0033 | 1.412 (0.612, 3.257) | 0.4181 | |
| Annual household income | < 20,000 | 1.0 | 1.0 | ||
| 20,000-40,000 | 0.766 (0.333, 1.762) | 0.5311 | 0.905 (0.336, 2.438) | 0.8437 | |
| ≥40,000 | 0.289 (0.097, 0.866) | 0.0266 | 0.499 (0.126, 1.969) | 0.3207 | |
| Behaviroral factors | |||||
| Alcohol consumption | No | 1.0 | 1.0 | ||
| Yes | 1.372 (0.690, 2.731) | 0.3670 | 1.350 (0.585, 3.113) | 0.4821 | |
| Smoking status | Non-smoker | 1.0 | 1.0 | ||
| Smoker | 0.766 (0.399, 1.472) | 0.4243 | 0.482 (0.213, 1.092) | 0.0802 | |
| Eating out-of-home | No | 1.0 | 1.0 | ||
| Yes | 0.628 (0.294, 1.228) | 0.2280 | 0.302 (0.132, 0.693) | 0.0047 | |
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