Table 3 Adjusted odds ratios for the survey logistic regression models under (a) complete case analysis and (b) multiple imputations analysis

Intercept

0.030

(0.021, 0.041)

0.037

(0.025, 0.055)

  Female

Ref.

Ref.

  Male

0.924

(0.631, 1.354)

0.812

(0.561, 1.175)

  15 – 19

Ref.

Ref.

  20 – 24

2.314

(1.689, 3.171)

2.659

(2.000, 3.534)

  25 – 29

4.478

(3.293, 6.089)

5.380

(4.029, 7.183)

  30 – 34

6.286

(4.730, 8.857)

7.957

(5.948, 10.643)

  35 – 39

6.472

(4.550, 8.684)

7.936

(5.797, 10.865)

  40 – 44

3.981

(2.778, 5.705)

5.007

(3.511, 7.140)

  45 – 49

3.171

(2.191, 4.589)

4.453

(3.127, 6.340)

  50 - 54

4.325

(2.746, 6.812)

4.468

(1.050, 19.019)

  Single

Ref.

Ref.

  Married

1.182

(0.973, 1.437)

0.842

(0.726, 0.976)

  Divorced

2.535

(1.990, 3.230)

1.658

(1.238, 2.220)

  Widowed

6.605

(5.017, 8.695)

4.464

(3.581, 5.564)

  Non literate

Ref.

Ref.

  Partially

1.662

(1.258, 2.194)

1.503

(1.094, 2.064)

  Literate

1.280

(1.022, 1.602)

1.194

(0.905, 1.576)

  Rural

Ref.

Ref.

  Urban

1.251

(1.117, 1.401)

1.224

(1.084, 1.382)

  15 – 19:Male

Ref.

Ref.

  20 – 24:Male

0.447

(0.268, 0.745)

0.566

(0.346, 0.925)

  25 – 29:Male

0.583

(0.370, 0.919)

0.637

(0.417, 0.972)

  30 – 34:Male

0.653

(0.416, 1.026)

0.732

(0.449, 1.194)

  35 – 39:Male

1.044

(0.662, 1.648)

1.129

(0.751, 1.696)

  40 – 44:Male

1.818

(1.109, 2.979)

1.808

(1.069, 3.058)

  45 – 49:Male

2.734

(1.636, 4.571)

2.498

(1.578, 3.955)