Table 2 Correlates of screening demand: logistic regression, screening locality only for those who got screened

Socioeconomics

 Age < 50

Ref

Ref

Ref

Ref

Ref

Ref

 Age 50 + 

1.081

1.068

1.451**

2.037**

0.624***

0.820

(0.847, 1.378)

(0.839, 1.359)

(1.089, 1.933)

(1.149, 3.611)

(0.472, 0.824)

(0.613, 1.098)

 Male

Ref

Ref

Ref

Ref

Ref

Ref

 Female

1.139

1.147

1.546**

5.531***

0.926

0.716**

(0.882, 1.471)

(0.895, 1.468)

(1.101, 2.172)

(2.892, 10.58)

(0.677, 1.265)

(0.530, 0.967)

 Rural

Ref

Ref

Ref

Ref

Ref

Ref

 Urban

1.546

1.433

1.725**

0.501**

1.064

0.694*

(0.909, 2.626)

(0.857, 2.395)

(1.080, 2.754)

(0.276, 0.908)

(0.721, 1.572)

(0.473, 1.017)

 Education

  Up to primary

Ref

Ref

Ref

Ref

Ref

Ref

  Lower secondary

0.766

0.791

1.831***

1.660

0.669**

1.268

(0.555, 1.057)

(0.574, 1.092)

(1.234, 2.718)

(0.887, 3.109)

(0.451, 0.991)

(0.813, 1.975)

  Upper secondary and above

0.858

0.893

2.033***

1.221

0.694**

1.169

(0.619, 1.189)

(0.646, 1.233)

(1.374, 3.009)

(0.694, 2.146)

(0.489, 0.984)

(0.790, 1.728)

 Wealth

  Wealth quintile 1

Ref

Ref

Ref

Ref

Ref

Ref

  Wealth quintile 2

1.737**

1.711**

0.583*

1.349

1.425

0.909

(1.111, 2.716)

(1.096, 2.670)

(0.326, 1.042)

(0.651, 2.794)

(0.861, 2.360)

(0.534, 1.548)

  Wealth quintile 3

2.230***

2.148***

0.425***

0.578

1.133

1.062

(1.490, 3.337)

(1.423, 3.241)

(0.253, 0.715)

(0.249, 1.340)

(0.714, 1.798)

(0.612, 1.843)

  Wealth quintile 4

2.646***

2.609***

0.575*

0.724

0.829

1.585*

(1.720, 4.070)

(1.703, 3.997)

(0.298, 1.111)

(0.306, 1.717)

(0.494, 1.392)

(0.920, 2.733)

  Wealth quintile 5

2.327***

2.120***

0.592*

0.527

0.487***

1.602*

(1.489, 3.637)

(1.356, 3.314)

(0.335, 1.046)

(0.225, 1.233)

(0.300, 0.790)

(0.929, 2.763)

Observations

1575

1575

1575

950

950

950

F-stat

2.725

2.641

5.001

4.901

4.696

2.148

p-value

0.00591

0.00751

< 0.001

< 0.001

< 0.001

0.0297