Table 2 Binary logistic regression model coefficients for PMS participation given different sets of covariates (B=coefficient; SE= robust standard error)

Covariate

Gender(reference group: female)

−0.111

0.207

−0.053

0.211

−0.120

0.216

−0.105

0.207

−0.040

0.219

Age

0.048***

0.018

0.039**

0.019

0.038**

0.018

0.042**

0.019

0.026

0.019

Residence in Wuhan (reference group: else)

0.670*

0.382

0.642*

0.383

0.630*

0.387

0.775*

0.391

0.706*

0.390

Residence in Suizhou (reference group: else)

1.370***

0.410

1.413***

0.415

1.214***

0.414

1.388***

0.418

1.288***

0.423

Residence in Zaoyang (reference group: else)

0.087

0.460

0.190

0.459

−0.055

0.465

0.072

0.469

0.020

0.468

Ethnicity(reference group: non-Han)

0.006

0.537

−0.271

0.520

0.054

0.538

−0.121

0.602

−0.117

0.605

Profession is leader (reference group: common clerks)

−0.115

0.213

−0.168

0.219

−0.165

0.221

−0.076

0.219

−0.135

0.228

Profession is scientist or teacher (reference group: common clerks)

0.388*

0.276

0.257

0.278

0.302

0.288

0.383

0.283

0.198

0.293

Profession is farmer (reference group: common clerks)

−0.929*

0.671

−0.737

0.663

−0.845

0.709

−0.756

0.691

−0.712

0.744

Education

−0.037

0.101

−0.091

0.104

−0.155

0.105

−0.067

0.102

−0.189*

0.107

Monthly income

−0.066

0.110

−0.042

0.111

−0.067

0.114

−0.087

0.109

−0.75

0.113

Independent variable

Awareness of premarital screening

2.804***

1.047

2.346**

1.050

Awareness of the free and voluntary mode

0.634***

0.206

0.463**

0.217

Knowledge level of premarital screening

0.606***

0.120

0.480***

0.131

PMS items knowledge score

0.010

0.010

0.006

0.010

Attitude to the necessity of PMS

0.860***

0.191

0.766***

0.205

Attitude to the preventive effects of PMS

−0.276

0.195

−0.425**

0.206

Pearson Chi-Square

40.686***

72.967***

70.279***

62.731***

104.195***

−2 Log Likelihood

697.500***

665.218***

656.745***

674.581***

521.946***

Cox&Snell R-Square

0.069

0.121

0.118

0.105

0.171

N

633

633

633

633

633