Skip to main content

Table 4 Binary logistic regression analysis of influencing factors on life satisfaction of elderlypeople in rural areas

From: Research on the urban-rural differences and influencing factors of life satisfaction among elderly people in China

Argument

β

SE

Waldχ2

OR(95%CI)

P

Age (years old, based on 60–75)

 76–90

0.285

0.133

4.561

1.330(1.024, 1.727)

0.033

 >90

0.348

0.172

4.082

1.416(1.010, 1.985)

0.043

Region (referring to the east)

 Central section

-0.232

0.127

3.361

0.793(0.618, 1.016)

0.067

 West

0.025

0.148

0.029

1.026(0.767, 1.371)

0.865

Marital status (based on having a spouse)

 No spouse

0.329

0.140

5.504

1.390(1.056, 1.829)

0.019

Residence method (referring to living with family)

 Living Alone

-0.385

0.154

6.212

0.681(0.503, 0.921)

0.013

Economic level (with better as a reference)

 Same as

-0.824

0.192

18.489

0.439(0.301, 0.639)

< 0.001

 Bad

-1.873

0.232

64.989

0.154(0.097, 0.242)

< 0.001

Self rated health (based on poor)

 Good

1.498

0.126

141.598

4.475(3.496, 5.727)

< 0.001

Behavioral limitations (as a reference)

 Deny

0.148

0.127

1.372

0.862(0.673, 1.105)

0.241

Is there a tendency towards depression (with no as a reference)

 Correct

-0.746

0.135

30.757

0.474(0.364, 0.617)

< 0.001

Sleep quality (based on poor)

 Good

0.171

0.118

0.118

1.187(0.941, 1.496)

0.147

Smoking situation (based on non smoking)

 Smoke

-0.330

0.141

5.453

0.719(0.545, 0.948)

0.020