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Table 4 Ordered probit and stereotype logistic regression on MCS and related domains

From: Exploratory analysis of health-related quality of life among the empty-nest elderly in rural China: An empirical study in three economically developed cities in eastern China

 

Model 6

Model 7

Model 8

Model 9

Model 10

 

MCS

VT

RE

SF

MH

Gender (Female = 0)

0.0687

0.118

0.031

0.026

-0.105

Age

-0.007

0.003

0.028

-0.008

0.052*

Primary school (illiteracy = 0)

1.630

0.552

3.866

0.228*

1.461***

Middle school (illiteracy = 0)

7.353***

2.939

7.017

1.347***

7.729***

High school or junior colleges and above (illiteracy = 0)

8.713***

4.056

7.573

1.845***

10.192***

Not widowed (others = 0)

-0.071

-0.246

-0.536

-0.080

-0.376

Widowed (others = 0))

0.465

-0.174

-0.095

-0.032

-0.112

Df

7

7

7

7

7

Wald Chi (2)

98.36

120.16

  

94.90

LR Chi (2)

  

538.77

309.37

 
  1. Note: ***indicates p < 0.001; **p <0.01; *p <0.05. VT refers to vitality; SF refers to social functioning; RE refers to role-emotional; MH refers to mental health.