Table 2 Binary logistic regression results on mass media and whether HIV infected female teacher should be allowed to teach or otherwise.

Mass media

No access

Ref

1.1

Ref

1.1

Access

2.10***

[1.892–2.339]

1.37***

[1.200–1.555]

Education attainment

No education

Ref

1.1

Primary

0.92

[0.779–1.089]

Secondary + 

1.30**

[1.102–1.529]

Residence

Urban

Ref

1.1

Rural

0.83**

[0.717–0.957]

Marital status

Married

Ref

1.1

Cohabiting

0.72***

[0.622–0.837]

Widowed

1.33*

[1.015–1.744]

Divorced

1.42*

[1.073–1.876]

Separated

0.98

[0.774–1.241]

Religion

Christianity

Ref

1.1

Islam

0.84*

[0.706–0.993]

Traditional

0.62*

[0.420–0.905]

No Religion

0.72*

[0.530–0.988]

Wealth status

Poor

Ref

1.1

Middle

1.23*

[1.040–1.442]

Rich

1.61***

[1.327–1.949]

Ethnicity

Akan

Ref

1.1

Ga/Dangme

0.80

[0.627–1.019]

Ewe

0.80*

[0.672–0.962]

Guan

1.14

[0.825–1.582]

Mole-Dagbani

1.87***

[1.562–2.239]

Grusi

2.67***

[1.996–3.565]

Gurma

0.44***

[0.328–0.590]

Mande

1.13

[0.672–1.905]

Other

1.12

[0.720–1.736]

Parity

Zero birth

Ref

1.1

One birth

0.75*

[0.564–0.989]

Two births

0.64**

[0.488–0.844]

Three births

0.64**

[0.483–0.843]

Four or more births

0.57***

[0.439–0.743]

Partners’ education attainment

No education

Ref

1.1

Primary

1.10

[0.874–1.326]

Secondary + 

1.38***

[1.161–1.631]

Don’t Know

0.92

[0.614–1.380]

Model specification

Number of observations

6025

LR X²

687.98

X²

0.000

Pseudo R²

0.082

Log likelihood

− 3828.241

_hat

0.99*** [0.916–1.081]

_hatsq

− 0.13 [− 0.095 to 0.069]