Table 2 Multivariate logistic regression model for outcomes

0.037

0.080

0.503

0.003

0.39 (0.18–0.69)

0.005

0.46 (0.23–0.83)

0.011

2.50 (0.27–23.7)

0.423

11.03 (2.51–48.6)

0.002

0.69 (0.28–1.70)

0.415

0.73 (0.30–1.78)

0.482

5.60 (0.54–58.5)

0.150

12.26 (2.43–61.9)

0.003

0.53 (0.28–1.03)

0.059

0.60 (0.31–1.14)

0.118

3.84 (0.42–35.2)

0.234

6.07 (1.31–28.1)

0.021

1.76 (0.72–4.29)

0.215

1.67 (0.70–3.96)

0.248

2.24 (0.49–10.2)

0.297

1.11 (0.46–2.72)

0.816

0.92 (0.89–0.96)

<0.001

0.91 (0.88–0.95)

<0.001

1.08 (1.02–1.14)

0.007

1.03 (0.995–1.07)

0.091

1.13 (1.07–1.20)

<0.001

0.98 (0.96–0.999)

0.043

0.99 (0.97–1.00)

0.088

1.02 (0.98–1.05)

0.330

1.04 (0.99–1.08)

0.111

1.54 (0.92–2.57)

0.098

1.31 (0.80–2.14)

0.281

0.50 (0.23–1.10)

0.083

0.47 (0.19–1.16)

0.101

0.94 (0.44–2.00)

0.862

0.68 (0.32–1.42)

0.300

0.93 (0.28–3.12)

0.906

1.29 (0.59–2.81)

0.526

1.33 (0.50–3.55)

0.572

0.69 (0.30–1.60)

0.385

0.13 (0.03–0.59)

0.008

1.36 (0.81–2.27)

0.247

1.39 (0.84–2.31)

0.199

1.92 (0.60–6.09)

0.270

3.78 (0.71–20.1)

0.119

1.31 (0.31–5.51)

0.714