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Table 4 Multiple Logistic regression analysis of factors associated with risk factors of oral cancer

From: A survey of the awareness and knowledge of oral cancer among residents in Beijing

Variable

n (%)

OR

95% CI

P

Age

Residence

 Downtown

141 (29.3)

1

  

 Suburbs

470 (30.6)

0.974

0.771–1.231

0.825

 Outer suburbs

225 (24.4)

0.764

0.589–0.992

0.043

 Rural

18 (15.4)

0.624

0.352–1.106

0.106

Mouth self-examination

 Never

113 (23.4)

1

  

 Nearly every day

147 (33.8)

1.524

1.130–2.056

0.006

 Three or four times a week

302 (30.5)

1.310

1.011–1.697

0.041

 Occasionally

292 (25.5)

1.046

0.809–1.353

0.730

Smoking

Age

 15–29 years

675 (41.7)

1

  

 30–44 years

398 (41.3)

0.873

0.733–1.039

0.125

 45–59 years

84 (27.8)

0.595

0.441–0.804

0.001

 ≥ 60 years

52 (30.2)

0.739

0.485–1.125

0.159

Income

 < 20,000 Yuan

422 (37.2)

1

  

 20,000–40,000 Yuan

218 (36.5)

0.977

0.789–1.210

0.829

 40,000–60,000 Yuan

197 (40.0)

1.100

0.878–1.379

0.409

 > 60,000 Yuan

372 (44.8)

1.242

1.021–1.511

0.030

Chewing betel nut

Age

 15–29 years

727 (44.9)

1

  

 30–44 years

392 (40.7)

0.761

0.604–0.960

0.021

 45–59 years

89 (29.5)

0.556

0.391–0.789

0.001

 ≥ 60 years

41 (23.8)

0.413

0.255–0.669

< 0.001

Residence

 Downtown

197 (41.0)

1

  

 Suburbs

690 (45.0)

1.050

0.845–1.305

0.661

 Outer suburbs

328 (35.5)

0.767

0.604–0.974

0.030

 Rural

34 (29.1)

0.881

0.548–1.418

0.603

Marital status

 Married

729 (44.4)

1

  

 Single

490 (36.6)

0.979

0.779–1.232

0.858

 Widow/Divorced/Separated

30 (41.1)

1.825

1.053–3.161

0.032

Income

 < 20,000 Yuan

435 (38.3)

1

  

 20,000–40,000 Yuan

216 (36.2)

0.942

0.761–1.166

0.582

 40,000–60,000 Yuan

201 (40.8)

1.116

0.891–1.398

0.338

 > 60,000 Yuan

397 (47.8)

1.331

1.096–1.616

0.004

Drinking

Age

 15–29 years

426 (26.3)

1

  

 30–44 years

259 (26.9)

0.836

0.644–1.085

0.177

 45–59 years

60 (19.9)

0.627

0.421–0.934

0.022

 ≥ 60 years

34 (43.9)

0.677

0.400–1.146

0.146

Residence

 Downtown

138 (28.7)

1

  

 Suburbs

397 (25.9)

0.837

0.658–1.066

0.149

 Outer suburbs

221 (23.9)

0.743

0.570–0.967

0.027

 Rural

23 (19.7)

0.758

0.444–1.296

0.312

  1. P value < 0.05 are shown in bold