Table 3 Logistic regression models predicting PIDAQ and its various components by demographical variables (N = 2637)
| OR (95% CI) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| PIDAQ | DSC | SI | PI | AC | ||||||
| Unadjusted | Adjusted | Unadjusted | Adjusted | Unadjusted | Adjusted | Unadjusted | Adjusted | Unadjusted | Adjusted | |
| Gender | ||||||||||
| Males (ref) | – | – | – | – | – | – | – | – | – | – |
| Females |
1.68 (1.42–1.97)a |
1.74 (1.45–2.10)a |
0.71 (0.61–0.84) |
0.69 (0.58–0.83)a |
1.12 (0.95–1.3) |
1.12 (0.94–1.34) |
1.58 (1.34–1.86) |
1.70 (1.41–2.1)a |
1.94 (1.65–2.27)a |
1.93 (1.61–2.31)a |
| Grade | ||||||||||
| Intermediate School (ref) | – | – | – | – | – | – | – | – | – | – |
| High School |
0.97 (0.83–1.14) |
1.1 (0.81–1.48) |
1.1 (0.94–1.3) |
0.95 (0.71–1.28) |
0.87 (0.74–1.02) |
0.97 (0.72–1.31) |
0.91 (0.77–10.7) |
1.07 (0.79–1.45) |
1.33 (1.1–1.5)a |
1.10 (0.81–1.48) |
| Age (years) |
1.03 (0.99–1.03) |
1.06 (0.97–1.15) |
0.95 (0.91–0.99) |
0.94 (0.87–1.02) |
1.04 (0.99–10.9) |
1.04 (0.96–1.12) |
1.05 (1.01–1.10) |
1.1 (0.99–1.17) |
0.94 (0.90–0.99)a |
0.98 (0.91–1.07) |
| Father’s education level | ||||||||||
| No/School (ref) | – | – | – | – | – | – | – | – | – | – |
| University |
1.39 (1.18–1.64)a |
1.34 (1.11–1.61)a |
0.78 (0.66–0.92) |
0.88 (0.73–1.05) |
1.14 (0.97–1.35) |
1.1 (0.88–1.26) |
1.31 (1.11–1.55) |
1.22 (1.01–1.47)a |
1.2 (0.99–1.39) |
1.25 (1.04–1.60)a |
| Mother’s education level | ||||||||||
| No/School (ref) | – | – | – | – | – | – | – | – | – | – |
| University |
1.27 (1.08–1.50)* |
1.13 (0.94–1.36) |
0.72 (0.61–0.85) |
0.76 (0.63–0.91)a |
1.24 (1.05–1.45)a |
1.18 (0.98–1.41) |
1.26 (1.07–1.49) |
1.14 (0.94–1.37) |
1.08 (0.91–1.27) |
1.08 (0.90–1.30) |