Table 4 The result of the two-piecewise logistic regression model

7.38 (6.98, 7.81)

4.46

2.59 (1.34, 4.97)

7.56 (7.14, 8.01)

< 0.001^*

7.57 (6.76, 8.48)

4.31

1.65 (0.62, 4.41)

8.02 (7.11, 9.06)

0.005^*

7.38 (6.92, 7.88)

4.49

1.01 (0.31, 3.29)

7.52 (7.04, 8.03)

0.002^*

5.89 (4.87, 7.07)

5.05

2.75 (1.01, 4.49)

5.95 (4.44, 7.28)

0.036^*

6.04 (5.41, 6.73)

4.71

3.10 (2.49, 5.72)

6.22 (5.55, 6.97)

< 0.001^*

7.39 (6.72, 8.13)

4.63

3.40 (2.53, 5.39)

7.50 (6.78, 8.30)

< 0.001^*

8.15 (7.25, 9.17)

4.34

1.57 (1.16, 2.06)

8.65 (7.65, 9.77)

< 0.001^*

8.40 (7.83, 9.02)

4.23

0.51 (0.13, 2.07)

8.59 (7.99, 9.23)

< 0.001^*

6.12 (5.59, 6.70)

4.56

3.14 (1.09, 9.07)

6.22 (5.65, 6.84)

< 0.001^*