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Table 4 Association of independent variables and depressive symptoms in matched multivariate regression analysis

From: Decomposing differences in depressive symptoms between older rural-to-urban migrant workers and their counterparts in mainland China

Ā 

Older rural-to-urban migrant workers

Older rural dwellers

Older rural-to-urban migrant workers

Older urban residents

Odds Ratio

[95% CI]

Odds Ratio

[95% CI]

Odds Ratio

[95% CI]

Odds Ratio

[95% CI]

Gender

0.856

āˆ’0.019

1.731

āˆ’0.114***

āˆ’ā€‰0.325

0.096

1.020

0.136

1.903

āˆ’0.807

āˆ’ā€‰1.472

āˆ’ā€‰0.142

Age group

0.654*

āˆ’ā€‰0.389

1.697

0.566

0.322

0.810

0.948*

āˆ’ā€‰0.090

1.986

0.473*

āˆ’0.178

1.124

Ill in the last month

0.111

āˆ’1.254

1.477

āˆ’0.551***

āˆ’ā€‰0.837

āˆ’ā€‰0.264

0.097

āˆ’ā€‰1.331

1.525

0.225

āˆ’ā€‰0.636

1.086

Self-reported health

1.044***

0.487

1.600

0.600***

0.489

0.712

1.069***

0.519

1.620

1.086***

0.700

1.472

Chronic diseases

0.031

āˆ’0.474

0.537

0.266***

0.147

0.385

āˆ’0.155

āˆ’0.657

0.346

0.297

āˆ’0.023

0.616

Smoke

āˆ’0.586

āˆ’1.553

0.381

āˆ’0.080

āˆ’0.294

0.135

āˆ’0.384

āˆ’1.349

0.582

āˆ’0.075

āˆ’ā€‰0.629

0.479

Drink

0.164

āˆ’0.381

0.710

0.076

āˆ’0.049

0.200

0.133

āˆ’0.404

0.669

āˆ’0.015

āˆ’0.374

0.345

Sleeping time

āˆ’0.944*

āˆ’1.810

āˆ’0.078

āˆ’ā€‰0.611***

āˆ’0.806

āˆ’ā€‰0.416

āˆ’1.001*

āˆ’ā€‰1.891

āˆ’0.112

āˆ’ā€‰0.943**

āˆ’1.610

āˆ’0.276

Nap

0.693

āˆ’0.118

1.503

0.076

āˆ’0.119

0.271

0.316

āˆ’0.475

1.107

0.302

āˆ’0.226

0.830

Living arrangement

0.710

āˆ’0.315

1.735

0.245

āˆ’0.030

0.520

0.743

āˆ’0.320

1.806

0.383

āˆ’0.419

1.186

Educational attainment

0.429

āˆ’0.451

1.309

āˆ’0.010

āˆ’0.253

0.234

āˆ’0.465

āˆ’1.416

0.486

āˆ’0.063

āˆ’ā€‰0.679

0.552

Social activity

āˆ’0.459

āˆ’0.972

0.054

āˆ’0.100

āˆ’ā€‰0.219

0.020

āˆ’ā€‰0.351

āˆ’0.833

0.132

āˆ’0.344*

āˆ’ā€‰0.670

āˆ’0.018

Running water

āˆ’0.204

āˆ’1.419

1.011

0.098

āˆ’0.113

0.309

āˆ’0.028

āˆ’1.232

1.176

āˆ’1.013

āˆ’2.304

0.279

Type of in-house shower

āˆ’0.429

āˆ’1.356

0.499

0.483***

0.286

0.680

āˆ’0.539

āˆ’1.456

0.378

0.303

āˆ’0.287

0.893

Clear in this house

0.561

āˆ’0.094

1.215

0.160

āˆ’0.007

0.327

0.756*

0.100

1.411

0.044

āˆ’0.360

0.448

Region

0.266

āˆ’0.284

0.815

0.186

0.062

0.310

0.306

āˆ’0.256

0.867

0.538*

0.123

0.952

Income quintiles

0.111

āˆ’0.196

0.418

0.007

āˆ’0.067

0.082

0.168

āˆ’0.142

0.477

āˆ’0.105

āˆ’0.319

0.108

Health insurance

0.423

āˆ’0.933

1.779

āˆ’0.034

āˆ’0.887

0.820

āˆ’0.470

āˆ’1.959

1.019

āˆ’0.051

āˆ’1.009

0.907

pension insurance

0.334

āˆ’0.560

1.227

0.173

āˆ’0.070

0.415

0.386

āˆ’0.509

1.280

āˆ’0.006

āˆ’0.594

0.583

  1. Confidence interval; * pā€‰<ā€‰0.05, ** pā€‰<ā€‰0.01, *** pā€‰<ā€‰0.001. We found low VIFs, <ā€‰10, reflecting no multicollinearity problem in the logistic regressions; all predictors entered the multivariate regression simultaneously
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BMC Public Health

ISSN: 1471-2458

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