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Table 2 Results of logistic regression analysis

From: Construction and validation of cognitive frailty risk prediction model for elderly patients with multimorbidity in Chinese community based on non-traditional factors

Variables

Modeling set HR (95% CI)

Verification set HR (95% CI)

Univariate analysis

Multivariate analysis

Univariate analysis

Multivariate analysis

Sex

1.109 (0.831–1.479)

 

1.055 (0.663–1.68) *

 

Age

4.499 (3.26–6.208) **

2.711 (1.207–6.091) *

3.947 (2.332–6.68) **

3.561 (0.865–14.653)

Education level

0.010 (0.006–0.017) **

0.009 (0.003–0.026) **

0.009 (0.004–0.023) **

0.003 (0–0.029) **

Marital status

3.709 (2.748–5.005) **

8.333 (3.63–19.127) **

7.086 (4.203–11.949) **

39.816 (6.293–251.934) **

Living alone

4.008 (2.873–5.589) **

2.376 (1.041–5.423) *

3.986 (2.416–6.577) **

4.622 (1.211–17.641) *

Exercise status

0.019 (0.012–0.03) **

0.010 (0.004–0.028) **

0.103 (0.061–0.173) **

0.025 (0.005–0.122) **

Intellectual activity

0.335 (0.25–0.45) **

0.243 (0.108–0.545) **

0.380 (0.239–0.604) **

 

Social activity

0.131 (0.095–0.181) **

0.087 (0.036–0.208) **

0.086 (0.05–0.148) **

0.109 (0.027–0.45) **

Fall history

4.791 (3.526–6.511) **

6.128 (2.786–13.478) **

5.506 (3.362–9.019) **

19.159 (3.574–102.709) **

Sleep quality

3.710 (2.73–5.042) **

6.371 (2.789–14.554) **

2.744 (1.7–4.429) **

6.449 (1.453–28.628) *

  1. * p < 0.05, ** p < 0.01