Table 2 Multiple binary logistic regression by four seasons of birth
Variables | Spring | Summer | Autumn | Winter |
|---|---|---|---|---|
OR adjusted (95%CI) | OR adjusted (95%CI) | OR adjusted (95%CI) | OR adjusted (95%CI) | |
Gender (ref: Male) | Â | Â | Â | Â |
Female | 1.35 (1.14, 1.60)*** | 1.35 (1.14, 1.59)*** | 1.39 (1.17, 1.64)*** | 1.47 (1.23, 1.75)*** |
Age (ref: 18–30 y) |  |  |  |  |
31–45 y | 1.08 (0.80, 1.47) | 0.81 (0.61, 1.07) | 0.80 (0.61, 1.05) | 1.00 (0.75, 1.34) |
46–60 y | 1.48 (1.11, 1.97)** | 1.08 (0.83, 1.40) | 0.93 (0.71, 1.22) | 1.12 (0.84, 1.48) |
> 60 y | 1.70 (1.23, 2.36)** | 1.10 (0.81, 1.51) | 1.10 (0.81, 1.50) | 1.77 (1.27, 2.45)** |
Education (ref:Higher) | Â | Â | Â | Â |
Elementary | 1.47 (1.05, 2.05)* | 0.96 (0.73, 1.26) | 1.17 (0.88, 1.56) | 1.12 (0.82, 1.51) |
Secondary | 1.13 (0.77, 1.65) | 0.69 (0.50, 0.96)* | 1.05 (0.75, 1.47) | 0.76 (0.53, 1.09) |
SES (ref: High) | Â | Â | Â | Â |
Low | 7.46 (4.90, 11.36)*** | 4.98 (3.39, 7.28)*** | 6.65 (4.37, 10.11)*** | 6.25 (4.10, 9.52)*** |
Middle-low | 2.74 (1.89, 3.98)*** | 2.38 (1.72, 3.28)*** | 3.51 (2.42, 5.08)*** | 3.31 (2.31, 4.75)*** |
Middle | 2.00 (1.40, 2.84)*** | 1.25 (0.92, 1.71) | 1.94 (1.35, 2.79)*** | 1.90 (1.35, 2.69)*** |
Middle-high | 1.38 (0.96, 1.98) | 1.08 (0.79, 1.49) | 1.43 (0.98, 2.07) | 1.10 (0.77, 1.58) |
Geography (ref: South) | Â | Â | Â | Â |
North | 1.33 (0.95, 1.87) | 1.21 (0.88 1.67) | 1.35 (0.98, 1.87) | 1.18 (0.82, 1.70) |
Northeast | 1.84 (1.29, 2.62)*** | 1.44 (0.98, 2.11) | 1.63 (1.14, 2.35)** | 1.32 (0.91, 1. 90) |
East | 1.35 (1.02, 1.78)* | 1.27 (0.99, 1.64) | 1.28 (0.99, 1.65) | 1.22 (0.92, 1.62) |
Central | 1.51 (1.11, 2.07)** | 1.45 (1.09, 1.94)* | 1.12 (0.83, 1.51) | 1.41 (1.04, 1.92)* |
Southwest | 1.78 (1.30, 2.45)*** | 1.25 (0.93, 1.69) | 1.06 (0.76, 1.47) | 1.38 (0.98, 1.95) |
Northwest | 1.95 (1.46, 2.60)*** | 1.54 (1.17, 2.02)** | 1.69 (1.28, 2.24)*** | 1.88 (1.39, 2.54)*** |