1. Background
2. Objectives
3. Methods
| Variable | Low | High | P Valuea | ORb (%95 C.I) | ORc (%95 C.I) |
|---|---|---|---|---|---|
| Age, y | |||||
| < 30 | 77 (35.2) | 142 (64.8) | < 0.001 | 1 | 1 |
| 30 - 40 | 20 (19.8) | 81 (80.2) | 2.18 (1.25-3.85) | 2.55 (1.35 - 4.81) | |
| 40 - 50 | 12 (13.8) | 75 (86.2) | 3.38 (1.73-6.62) | 3.18 (1.47 - 6.85) | |
| > 50 | 23 (11.9) | 170 (88.1) | 4.00 (2.40-6.71) | 2.12 (1.06 - 4.26) | |
| Gender | |||||
| Male | 104 (27.0) | 281 (73.0) | < 0.001 | 1 | 1 |
| Female | 28 (13.0) | 187 (87.0) | 2.47 (1.56-3.90) | 2.08 (1.24 - 3.49) | |
| Education | |||||
| Illiterate | 11 (9.8) | 101 (90.2) | < 0.001 | 6.35(3.06-13.18) | 1.94 (0.68 - 5.55) |
| Primary School | 28 (12.3) | 200 (87.7) | 4.94 (2.85-8.55) | 1.87 (0.89 - 3.90) | |
| High School | 48 (32.0) | 102 (68.0) | 1.47 (0.88-2.45) | 1.28 (0.68- 2.40) | |
| University | 45 (40.9) | 65 (59.1) | 1 | 1 | |
| Health Related Education | |||||
| Yes | 19 (42.2) | 26 (57.8) | 0.001 | 1 | 1 |
| No | 113 (20.4) | 442 (79.6) | 2.85 (1.52-5.34) | 1.15 (0.47- 2.81) | |
| Health Related Job | |||||
| Yes | 12 (32.4) | 25 (67.6) | 0.114 | 1 | 1 |
| No | 120 (21.3) | 443 (78.7) | 1.77 (0.86-3.63) | 0.40 (0.13 - 1.18) | |
| Living location | |||||
| Urban | 113 (25.9) | 323 (74.1) | < 0.001 | 1 | 1 |
| Rural | 19 (11.6) | 145 (88.4) | 2.67 (1.58 - 4.50) | 1.33 (0.71 - 2.48) | |
| Family income, Iran Rial (IRR) | |||||
| < 10 × 106 | 76 (17.2) | 367 (82.8) | < 0.001 | 2.67 (1.77 - 4.03) | 1.66 (1.01 - 2.76) |
| > 10 × 106 | 56 (35.7) | 101 (64.3) | 1 | 1 | |
| Health Insurance | |||||
| Yes | 127 (22.4) | 439 (77.6) | 0.290 | 1 | 1 |
| No | 5 (14.7) | 29 (85.3) | 1.67 (0.63 - 4.42) | 1.93 (0.62 - 6.02) | |
| Type of Service | |||||
| Outpatient | 83 (36.2) | 146 (63.8) | < 0.001 | 1 | 1 |
| Inpatient | 49 (13.2) | 322 (86.8) | 3.73 (2.49 - 5.59) | 2.28 (1.36 - 3.81) |
aUsing chi-square test.
bUnivariate odds ratio (OR) and corresponding %95 confidence interval (C.I).
cAdjusted odds ratio (OR) and corresponding %95 confidence interval (C.I) computed using a multiple logistic regression model.