Table 4 Logistic regression (LR) model for factors associated with SHOA^a

Age (> 80 years)

-

-

6.952

0.031

-

 ≤ 65

1.952

0.745

6.862

0.009

7.042(1.635 ~ 30.340)

 65–80

1.938

0.738

6.888

0.009

6.942(1.633 ~ 29.502)

Residence (Urban)

0.316

0.240

1.732

0.188

1.372(0.857 ~ 2.198)

Education level (College degree and above)

-

-

3.017

0.555

-

 Illiteracy

-0.302

0.36

0.702

0.402

0.739(0.365 ~ 1.499)

 Primary school

-0.296

0.294

1.014

0.314

0.744(0.418 ~ 1.323)

 Junior high school

-0.425

0.266

2.555

0.110

0.654(0.388 ~ 1.101)

 High school/Technical school

-0.360

0.253

2.033

0.154

0.697(0.425 ~ 1.145)

Pre-retirement occupation^b (Agricultural staffs and others)

-

-

4.287

0.117

-

 Government staffs

-0.212

0.244

0.750

0.387

0.809(0.501 ~ 1.307)

 Industry and service workers

0.230

0.223

1.059

0.303

1.258(0.812 ~ 1.950)

Medical insurance (Others)

-

-

0.499

0.779

-

 Basic Medical Insurance for Urban Employees

-0.169

0.483

0.123

0.726

0.844(0.328 ~ 2.175)

 Basic Medical Insurance for Urban and Rural Residents

-0.280

0.486

0.333

0.564

0.756(0.292 ~ 1.957)

Communication methods^c (Others)

-

-

20.817

 < 0.001

-

 Smartphone

2.728

1.029

7.023

0.008

15.297(2.035 ~ 114.999)

 Non-smartphone

1.985

1.023

3.764

0.052

7.281(0.980 ~ 54.094)

 Landline

2.440

1.139

4.589

0.032

11.469(1.231 ~ 106.882)

Constant

-5.455

1.398

15.223

 < 0.001

0.004