Table 5 Logistic Regression (LR) results

Sex

0.767

0.142

29.122

 < 0.001

2.154 (1.630 ~ 2.846)

Age (Age >  = 85)

-

-

8.529

0.074

-

 65 ≤ Age < 70

0.349

0.352

0.984

0.321

1.418 (0.711 ~ 2.826)

 70 ≤ Age < 75

0.298

0.357

0.696

0.404

1.347 (0.669 ~ 2.715)

 75 ≤ Age < 80

0.085

0.378

0.051

0.822

1.089 (0.519 ~ 2.284)

 80 ≤ Age < 85

-0.289

0.385

0.564

0.453

0.749 (0.352 ~ 1.593)

Residence

1.862

0.212

77.001

 < 0.001

6.437 (4.247 ~ 9.757)

Education level (College degree and above)

-

-

15.077

0.005

-

 Illiteracy

-1.197

0.334

12.854

 < 0.001

0.302 (0.157 ~ 0.581)

 Primary school

-0.924

0.310

8.898

0.003

0.397 (0.216 ~ 0.728)

 Junior high school

-0.572

0.305

3.517

0.061

0.565 (0.311 ~ 1.026)

 High school/Technical school

-0.624

0.311

4.011

0.045

0.536 (0.291 ~ 0.987)

Pre-retirement occupation (Agricultural sector or others)

-

-

15.115

0.001

-

 Government staffs

0.535

0.248

4.650

0.031

1.707 (1.050 ~ 2.775)

 Industry and service workers

0.885

0.228

15.091

 < 0.001

2.422 (1.550 ~ 3.786)

Medical insurance (Others)

-

-

2.708

0.258

-

 Basic Medical Insurance for Urban Employees^c

0.543

0.445

1.493

0.222

1.722 (0.720 ~ 4.118)

 Basic Medical Insurance for Residents^d

0.262

0.448

0.342

0.559

1.300 (0.540 ~ 3.130)

Constant

-4.360

0.706

38.096

 < 0.001

0.013