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Table 2 Bivariate associations between occupational factors, covariates and Self-Rated Health (SRH) stratified by gender, 2013, PNS, Brazil

From: Associations between occupational factors and self-rated health in the national Brazilian working population

 

Women (N = 16,992)

Men (N = 19,450)

 

OR

95%CI

p-value

OR

95%CI

p-value

Employment characteristics

 Work status (ref: private employee)

   

<.0001

   

<.0001

  Self-employed

1.977

1.716

2.278

<.0001

1.817

1.615

2.045

<.0001

  Public employee

1.143

0.956

1.368

0.1420

1.032

0.835

1.277

0.7699

  Domestic worker

2.313

1.936

2.763

<.0001

2.131

1.184

3.836

0.0117

 Economic activities (ref: manufacturing)

   

<.0001

   

<.0001

  Agriculture

1.793

1.356

2.370

<.0001

2.743

2.229

3.376

<.0001

  Construction

0.750

0.388

1.452

0.3940

1.601

1.291

1.985

<.0001

  Services

0.822

0.682

0.990

0.0390

1.167

0.979

1.391

0.0839

 Occupation (ref: managers/professionals)

   

<.0001

   

<.0001

  Clerks/service workers

1.767

1.442

2.164

<.0001

1.584

1.265

1.984

<.0001

  Manual workers

2.877

2.363

3.505

<.0001

2.334

1.903

2.864

<.0001

  Technicians/associate professionals

0.986

0.721

1.348

0.9280

1.147

0.854

1.542

0.3613

 Multiple job-holder

0.804

0.604

1.069

0.1330

0.833

0.648

1.072

0.1552

Working time/hours

 Working hours a week (ref: 21–44)

   

<.0001

   

<.0001

  ≤ 20

1.245

1.067

1.453

0.0050

1.657

1.345

2.043

<.0001

  ≥ 45

1.621

1.393

1.886

<.0001

1.022

0.901

1.159

0.7363

 Night/shift work (ref: no)

   

0.8682

   

0.0160

  Night work

0.949

0.778

1.157

0.6041

0.806

0.684

0.951

0.0106

  Night work and shift work

0.958

0.549

1.672

0.8803

0.756

0.528

1.083

0.1268

Psychosocial work factors

 Work stress

1.078

0.954

1.217

0.2271

1.119

0.988

1.267

0.0772

 Workplace violence

1.540

0.945

2.509

0.0833

1.263

0.833

1.917

0.2722

Physico-chemical exposures

 High physical activity

1.811

1.566

2.095

<.0001

1.532

1.364

1.721

<.0001

 Chemical agents

1.270

1.083

1.488

<.0001

1.119

0.972

1.288

0.1167

 Noise

1.118

0.964

1.298

0.1404

1.016

0.897

1.151

0.8048

 Exposure to sun

1.936

1.642

2.283

<.0001

2.024

1.807

2.266

<.0001

 Radioactive agents

0.517

0.332

0.805

0.0044

0.986

0.632

1.540

0.9522

 Urban waste

1.820

1.486

2.228

<.0001

1.394

1.136

1.710

0.0015

 Biological agents

0.634

0.498

0.808

0.0003

0.761

0.546

1.060

0.1064

 Marble dust

1.185

0.872

1.610

0.2791

1.069

0.914

1.250

0.4054

Sociodemographic characteristics

 Age (ref: < 30)

   

<.0001

   

<.0001

  30–39

1.157

0.972

1.378

0.1013

1.591

1.334

1.898

<.0001

  40–49

1.877

1.562

2.257

<.0001

2.421

2.044

2.867

<.0001

  ≥ 50

3.000

2.511

3.586

<.0001

4.112

3.457

4.891

<.0001

 Ethnicity (ref: white)

1.712

1.508

1.944

<.0001

1.453

1.294

1.632

<.0001

 Marital status (ref: live alone)

1.014

0.896

1.148

0.8235

1.352

1.205

1.516

<.0001

Health-related variables

 Binge drinking

0.733

0.597

0.899

0.0035

0.86

0.754

0.98

0.0244

 Smoking (ref: no)

   

<.0001

   

<.0001

  Ex

1.645

1.384

1.955

<.0001

1.961

1.706

2.254

<.0001

  Yes

1.831

1.548

2.164

<.0001

2.033

1.750

2.360

<.0001

 No physical activity

1.596

1.387

1.836

<.0001

2.294

2.022

2.603

<.0001

 No private health insurance plan

2.311

2.017

2.648

<.0001

2.292

1.981

2.652

<.0001

 Disability

2.573

2.001

3.309

<.0001

2.727

2.245

3.313

<.0001

 Education (ref: University)

   

<.0001

   

<.0001

  Secondary

1.773

1.475

2.131

<.0001

1.451

1.173

1.795

0.0002

  Primary

4.067

3.376

4.900

<.0001

3.165

2.576

3.887

<.0001

  1. Results from weighted logistic regression analysis
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