Table 3 Multiple binary logistic regression of interaction of demographics and birth seasonality (ref: Autumn)
Variables | Spring | Summer | Winter |
|---|---|---|---|
OR adjusted (95%CI) | OR adjusted (95%CI) | OR adjusted (95%CI) | |
Gender (ref: Male) | Â | Â | Â |
Female | 1.20 (1.02, 1.41)* | 1.29 (1.10, 1.51)** | 1.31 (1.11, 1.54)** |
Age (ref: 18–30 y) |  |  |  |
31–45 y | 0.80 (0.61, 1.05) | 0.74 (0.57, 0.96) * | 0.80 (0.62, 1.05) |
46–60 y | 1.14 (0.89, 1.47) | 1.00 (0.78, 1.28) | 0.94 (0.72, 1.21) |
> 60 y | 1.28 (0.96, 1.72) | 1.01 (0.75, 1.37) | 1.44 (1.07, 1.96)* |
Education (ref: Higher) | Â | Â | Â |
Elementary | 0.93 (0.71, 1.20) | 0.85 (0.66, 1.09) | 0.85 (0.66, 1.10) |
Secondary | 0.67 (0.49, 0.91)* | 0.60 (0.44, 0.81)** | 0.55 (0.40, 0.76)*** |
SES (ref: high) | Â | Â | Â |
Low | 3.86 (2.76, 5.40)*** | 4.00 (2.88, 5.57)*** | 3.98 (2.79, 5.67)*** |
Middle-low | 1.47 (1.11, 1.95)** | 1.94 (1.49, 2.53)*** | 2.13 (1.61, 2.81)*** |
Middle | 1.04 (0.81, 1.33) | 1.01 (0.79, 1.29) | 1.18 (0.91, 1.52) |
Middle-high | 0.74 (0.57, 0.96)* | 0.88 (0.68, 1.13) | 0.69 (0.53, 0.92)* |
Geography (ref: South) | Â | Â | Â |
North | 0.97 (0.71, 1.33) | 1.09 (0.80 1.47) | 0.88 (0.63, 1.23) |
Northeast | 1.31 (0.94, 1.82) | 1.28 (0.89, 1.84) | 1.00 (0.71, 1.41) |
East | 0.98 (0.77, 1.26) | 1.13 (0.90, 1.43) | 0.92 (0.72, 1.18) |
Central | 1.12 (0.84, 1.49) | 1.32 (1.00, 1.73)* | 1.09 (0.83, 1.45) |
Southwest | 1.34 (1.00, 1.80)* | 1.15 (0.87, 1.53) | 1.10 (0.80, 1.52) |
Northwest | 1.37 (1.06, 1.76)* | 1.36 (1.06, 1.74)* | 1.39 (1.07, 1.81)* |