Skip to main content

Table 3 Logistic regression analysis on cervical cancer screening

From: Association between knowledge of cervical cancer prevention and screening behaviors among women aged 20 to 49 years: a cross-sectional study in six provinces, China

Variable

Total

35-49 years old

Screened [n(%)]

Crude OR (95%CI)

AOR(95%CI)

Screened [n(%)]

Crude OR (95%CI)

AOR(95%CI)

Region

      

 Western

910 (29.9)

ref.

ref.

700 (36.6)

ref.

ref.

 Central

1205 (40.3)

1.58 (1.42, 1.76)

1.49 (1.32, 1.68)

896 (47.6)

1.57 (1.38, 1.79)

1.49 (1.29, 1.72)

 Eastern

1323 (42.5)

1.74 (1.56, 1.93)

1.88 (1.66, 2.13)

1001 (51.2)

1.82 (1.60, 2.06)

2.11 (1.81, 2.44)

Area

      

 Urban

1739 (38.5)

ref.

ref.

1282 (45.0)

ref.

ref.

 Rural

1699 (36.7)

0.93 (0.85, 1.01)

1.39 (1.23, 1.58)

1315 (45.4)

1.02 (0.92, 1.13)

1.96 (1.68, 2.28)

Age group (year)

      

 20–24

70 (8.0)

ref.

ref.

-

-

-

 25–29

273 (22.1)

3.25 (2.46, 4.30)

1.58 (1.13, 2.19)

-

-

-

 30–34

498 (38.8)

7.30 (5.58, 9.55)

3.32 (2.38, 4.64)

-

-

-

 35–39

542 (46.0)

9.82 (7.49, 12.86)

5.13 (3.65, 7.21)

542 (46.0)

ref.

ref.

 40–44

961 (45.5)

9.61 (7.42, 12.45)

6.05 (4.33, 8.46)

961 (45.5)

0.98 (0.85, 1.13)

1.24 (1.06, 1.46)

 45–49

1094 (44.5)

9.21 (7.12, 11.91)

6.99 (5.00, 9.78)

1094 (44.5)

0.94 (0.82, 1.08)

1.44 (1.23, 1.68)

Occupation

      

 Managerial and technical staff

708 (44.7)

ref.

ref.

463 (63.4)

ref.

ref.

 Commercial/service personnel

595 (38.2)

0.76 (0.66, 0.88)

0.78 (0.65, 0.93)

446 (44.3)

0.46 (0.38, 0.56)

0.69 (0.55, 0.87)

 Workers or farmers

1673 (39.9)

0.82 (0.73, 0.92)

0.93 (0.77, 1.12)

1364 (43.5)

0.44 (0.38, 0.52)

0.77 (0.61, 0.98)

 Students

19 (6.7)

0.09 (0.05, 0.14)

0.70 (0.41, 1.22)

2 (33.3)

0.29 (0.05, 1.58)

0.79 (0.12, 5.10)

 Unemployed

321 (26.8)

0.45 (0.39, 0.53)

0.59 (0.48, 0.73)

238 (34.8)

0.31 (0.25, 0.38)

0.62 (0.47, 0.80)

 Others

122 (37.4)

0.74 (0.58, 0.94)

0.86 (0.65, 1.14)

84 (44.9)

0.47 (0.34, 0.65)

0.73 (0.51, 1.04)

Education level

      

 Primary school and below

508 (29.1)

ref.

ref.

483 (30.4)

ref.

ref.

 Middle school

1241 (40.7)

1.67 (1.48, 1.90)

2.23 (1.93, 2.56)

1001 (46.7)

2.01 (1.75, 2.30)

2.48 (2.13, 2.89)

 Senior high school or equivalent

768 (40.9)

1.69 (1.47, 1.94)

2.57 (2.16, 3.06)

584 (50.7)

2.35 (2.01, 2.75)

3.11 (2.55, 3.80)

 College and above

921 (37.3)

1.45 (1.27, 1.66)

3.53 (2.87, 4.35)

529 (61.4)

3.64 (3.06, 4.33)

4.66 (3.61, 6.01)

Monthly family income (RMB)

      

 <3000

806 (33.1)

ref.

ref.

645 (38.1)

ref.

ref.

 3000–4999

1045 (36.6)

1.17 (1.04, 1.31)

1.06 (0.93, 1.21)

820 (45.9)

1.38 (1.20, 1.58)

1.12 (0.97, 1.30)

 5000–7999

908 (40.5)

1.38 (1.22, 1.55)

1.06 (0.92, 1.21)

680 (49.7)

1.61 (1.39, 1.86)

1.10 (0.93, 1.30)

 ≥8000

679 (42.2)

1.48 (1.30, 1.68)

0.93 (0.79, 1.10)

452 (50.3)

1.64 (1.40, 1.93)

0.88 (0.72, 1.07)

Marital status

      

 Unmarried

85 (8.4)

ref.

ref.

16 (30.2)

ref.

ref.

 Married

3215 (41.3)

7.68 (6.12, 9.64)

2.61 (1.83, 3.72)

2456 (45.5)

1.93 (1.07, 3.48)

1.62 (0.84, 3.12)

 Divorced/Widowed/Others

138 (39.8)

7.21 (5.29, 9.82)

2.47 (1.63, 3.73)

125 (42.2)

1.69 (0.90, 3.17)

1.68 (0.84, 3.36)

Gravidity

      

 0

166 (12.8)

ref.

ref.

53 (35.8)

ref.

ref.

 1

1214 (42.6)

5.04 (4.22, 6.03)

1.42 (1.08, 1.85)

895 (48.5)

1.69 (1.19, 2.39)

1.27 (0.86, 1.89)

 2

1200 (41.9)

4.89 (4.09, 5.85)

1.56 (1.18, 2.04)

916 (44.7)

1.45 (1.03, 2.05)

1.34 (0.90, 1.99)

 ≥3

858 (40.1)

4.54 (3.78, 5.46)

1.61 (1.22, 2.12)

733 (43.0)

1.35 (0.95, 1.92)

1.46 (0.98, 2.17)

Age at menarche (years)

      

 <13

434 (34.6)

ref.

ref.

281 (44.3)

ref.

ref.

 ≥13

3004 (38.1)

1.16 (1.03, 1.32)

1.00 (0.86, 1.16)

2316 (45.3)

1.04 (0.88, 1.23)

1.15 (0.95, 1.38)

Knowledge level

      

 Low level (< 5)

1435 (27.3)

ref.

ref.

1187 (34.1)

ref.

ref.

 High level (≥5)

2003 (51.5)

2.83 (2.60, 3.09)

2.91 (2.63, 3.21)

1410 (62.3)

3.21 (2.87, 3.58)

2.76 (2.45, 3.12)