Table 4 Logistic regression analysis to evaluate factors on prefrailty

1.052 [1.041, 1.063]

< 0.001*

1.343 [1.176, 1.534]

< 0.001*

2.195 [1.705, 2.825]

< 0.001*

1.082 [0.919, 1.274]

0.341

3.156 [2.375, 4.195]

< 0.001*

2.738 [2.135, 3.512]

< 0.001*

1.748 [1.293, 2.364]

< 0.001*

3.953 [3.355, 4.658]

< 0.001*

3.626 [3.067, 4.286]

< 0.001*

3.956 [3.166, 4.943]

< 0.001*

2.993 [2.613, 3.427]

< 0.001*

3.545 [2.991, 4.202]

< 0.001*

1.658 [1.451, 1.896]

< 0.001*

5.174 [3.971, 6.742]

< 0.001*

3.326 [2.773, 3.989]

< 0.001*

4.874 [3.459, 6.870]

< 0.001*

3.820 [2.430, 6.003]

< 0.001*

1.619 [1.102, 2.379]

0.014*

0.001 [0.001, 0.003]

< 0.001*