Skip to main content

Table 4 Multivariate logistic regression of the SES-lifestyle relation

From: Status constraint and lifestyle transition: a latent class analysis of health-related lifestyles among different social strata in China

Variable

Healthy/risky

Mixed/risky

Healthy/mixed

b

Exp(b)

b

Exp(b)

b

Exp(b)

Constant

3.153***

 

7.249***

 

− 4.096***

 

 Gender

− 4.181***

.015

− 4.032***

.018

− .149

0.861

 Age

− .106***

.899

− .105***

.901

− .002

0.998

 Age^2

.131***

1.140

.123***

1.131

.008

1.008

 Residency

.454**

1.575

− .191

.826

.645***

1.907

Education

 College and above

1.251***

3.495

− .667**

.513

1.918***

6.808

 High school and equivalent

.562**

1.755

− .506**

.603

1.068***

2.910

 Middle school

.634***

1.884

− .083

.921

.716***

2.047

Occupational status

 Managerial/professional employee

.697**

2.007

.218

1.244

.478*

1.613

 Ordinary non-physical worker

.433

1.541

− .127

.880

.560**

1.751

 Small business owner/individual businessman

.438

1.549

.453*

1.573

− .015

.985

 Foreman/skilled worker

.670**

1.953

.347

1.414

.323

1.381

 Unskilled physical worker

.419*

1.52

− .330*

.719

.749***

2.114

Natural log of annual income

.080

1.083

− .128*

.879

.208***

1.232

 -2LL

4535.279

 Degree of freedom

26

 Pseudo R2(Cox and Snell)

.393

 Prob > Chi2

.000

  1. Note: * p < 0.05, **p < 0.01, ***p < 0.001