Table 3 Determinants of cervical cancer screening uptake in Malawi

 Work status

1.13

(0.93–1.36)

1.15

(0.96–1.39)

 Location

1.66***

(1.36–2.02)

1.72***

(1.40–2.11)

 Marital Status

0.98

(0.81–1.19)

1.01

(0.83–1.23)

 Primary education

1.14

(0.88–1.48)

1.14

(0.87–1.48)

 Secondary education

1.41**

(1.03–1.93)

1.39**

(1.01–1.91)

 Post-secondary education

2.06***

(1.33–3.21)

2.03***

(1.31–3.16)

 Christian

1.09

(0.81–1.48)

1.11

(0.82–1.50)

 Muslim

0.79

(0.53–1.16)

0.78

(0.53–1.16)

 Wealth quintile 2

1.27

(0.87–1.85)

1.24

(0.85–1.81)

 Wealth quintile 3

1.31

(0.91–1.88)

1.24

(0.87–1.79)

 Wealth quintile 4

1.91***

(1.35–2.69)

1.77***

(1.25–2.50)

 Wealth quintile 5

3.43***

(2.39–4.91)

3.14***

(2.19–4.50)

 Age group: 25–34

1.87***

(1.44–2.43)

1.90***

(1.46–2.47)

 Age group: 35–44

2.83***

(2.16–3.72)

2.87***

(2.18–3.77)

 Age group: 45–54

3.14***

(2.31–4.27)

3.16***

(2.32–4.31)

 Age group: 55+

2.84***

(1.97–4.11)

2.84***

(1.96–4.10)

 Ever tested for HIV

2.48***

(1.71–3.60)

2.42***

(1.67–3.51)

 Northern Region

1.17

(0.94–1.46)

 Southern Region

0.74***

(0.62–0.88)

 Constant

0.01***

(0.00–0.02)

0.01***

(0.01–0.02)

 Observations

8978

8978

 Pseudo R2

0.0930

0.0968

 Log Lik

−1.026e+ 06

−1.022e+ 06

 Wald Chi

455.3

455.5

 Pro>Chi2

0.00

0.00