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Table 3 Binary logistic regression analysis of influencing factors on life satisfaction of urban elderly people

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

0.404

0.122

11.049

1.498(1.181, 1.902)

0.001

 >90

0.270

0.151

3.181

1.309(0.974, 1.761)

0.074

Region (referring to the east)

 Central section

-0.341

0.120

8.017

0.711(0.562, 0.900)

0.005

 West

-0.300

0.120

6.183

0.741(0.585, 0.939)

0.013

Residence method (referring to living with family)

 Living Alone

-0.675

0.132

26.257

0.509(0.393, 0.659)

< 0.001

Economic level (with better as a reference)

 Same as

-0.754

0.138

29.825

0.470(0.359, 0.617)

< 0.001

 Bad

-1.819

0.204

79.236

0.162(0.109, 0.242)

< 0.001

Self rated health (based on poor)

 Good

1.805

0.117

238.337

6.081(4.836, 7.648)

< 0.001

Behavioral limitations (as a reference)

 Deny

0.044

0.110

0.157

1.044(0.842, 1.296)

0.692

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

 Correct

-0.717

0.120

35.712

0.488(0.386, 0.618)

< 0.001

Sleep quality (based on poor)

 Good

0.076

0.105

0.525

1.079(0.879, 1, 324)

0.469

Exercise situation (as a reference)

 Deny

-0.024

0.106

0.049

0.977(0.793, 1.203)

0.824