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Table 2 Regression analysis results (N = 3899)

From: Association between age and loneliness in different residential type and gender groups: evidence from China

 

Model1

Model2

Model3

Model4

Model5

Model6

b (SE)

b (SE)

b (SE)

b (SE)

b (SE)

b (SE)

Age

−0.008

0.016*

0.022+

0.012

0.008

0.020+

(0.007)

(0.008)

(0.012)

(0.011)

(0.013)

(0.010)

Age2

0.0001+

−0.0001*

−0.0001+

−0.0001

− 0.0001

−0.0001*

(0.000)

(0.000)

(0.000)

(0.000)

(0.000)

(0.000)

Female

 

0.037

  

0.048

0.043

 

(0.043)

  

(0.066)

(0.055)

Unmarried

 

0.464***

0.631***

0.358***

0.466***

0.460***

 

(0.057)

(0.084)

(0.079)

(0.088)

(0.071)

Urban

 

−0.168***

−0.163*

−0.171*

  
 

(0.048)

(0.066)

(0.070)

  

Secondary education or above

 

−0.110*

−0.175*

− 0.049

−0.141+

0.011

 

(0.054)

(0.078)

(0.076)

(0.074)

(0.085)

Not party member

 

0.046

0.057

0.047

0.222

−0.008

 

(0.070)

(0.086)

(0.122)

(0.152)

(0.073)

Income

 

−0.009

0.010

−0.018*

− 0.008

−0.011

 

(0.006)

(0.010)

(0.008)

(0.008)

(0.009)

Self-rated health (Very bad/bad)

Moderate

 

−0.259***

−0.278**

−0.247**

− 0.187*

−0.329***

 

(0.063)

(0.091)

(0.087)

(0.089)

(0.089)

Good/very good

 

−0.590***

− 0.555***

−0.638***

− 0.601***

−0.586***

 

(0.058)

(0.084)

(0.080)

(0.081)

(0.083)

Family size

 

−0.074***

− 0.061**

−0.088***

− 0.093***

−0.045*

 

(0.014)

(0.019)

(0.020)

(0.020)

(0.019)

Pension

 

−0.141**

−0.093

− 0.185*

−0.146*

− 0.136+

 

(0.052)

(0.075)

(0.073)

(0.070)

(0.080)

Health insurance

 

−0.048

−0.138

0.039

−0.102

0.035

 

(0.082)

(0.115)

(0.117)

(0.113)

(0.119)

Constant

3.765***

4.184***

3.795***

4.437***

4.257***

3.752***

(0.180)

(0.253)

(0.362)

(0.359)

(0.404)

(0.322)

Observations

3899

3899

1884

2015

2096

1803

R-squared

0.004

0.088

0.098

0.085

0.087

0.070

Utest

0.71

1.84*

1.69*

0.85

0.64

1.75*

  1. Significance levels: *p < .05, **p < .01, ***p < .001