Table 2 Logistic regression equations of non-responses on variables of socio-economic position. OR (95%CI)

>15

1^a

1^a

1^a

1^a

1^a

1^a

12–15

4.28 (2.46 – 7.45)

6.95 (3.61 – 13.4)

6.24 (2.9 – 13.4)

1.04 (0.79 – 1.38)

0.74 (0.59–0.94)

0.99 (0.70 – 1.41)

Female

1^a

1^a

1^a

1^a

1^a

1^a

Male

1.57 (1.04 – 2.38)

1.63 (1.07 – 2.5)

1.75 (1.07 – 2.86)

1.13 (0.87 – 1.47)

1.4 (1.12 – 1.74)

1.41 (1.02 – 1.95)

Standard

1^a

1^a

1^a

1^a

1^a

1^a

Non-standard^b

3.1 (2.02 – 4.75)

1.32 (0.81 – 2.13)

1.9 (1.12 – 3.2)

2.48 (1.85 – 3.32)

0.88 (0.67 – 1.16)

1.89 (1.32 – 2.72)

Urban

1^a

1^a

1^a

1^a

1^a

1^a

Rural

0.74 (0.49 – 1.1)

0.66 (0.43 – 1.02)

0.71 (0.43 – 1.17)

1.21 (0.93 – 1.59)

1.46 (1.16 – 1.84)

1.57 (1.13 – 2.19)

High (>p25)

1^a

1^a

1^a

1^a

1^a

1^a

Low (≤p25)

1.19 (0.73 – 1.94)

1.57 (0.95 – 2.6)

1.55 (0.85 – 2.79)

1.26 (0.92 – 1.73)

0.92 (0.71 – 1.19)

1.29 (0.87 – 1.93)

High (>p25)

1^a

1^a

1^a

1^a

1^a

1^a

Low (≤p25)

1.00 (0.63 – 1.59)

1.22 (0.77 – 1.93)

1.16 (0.67 – 1.98)

1.1 (0.83 – 1.46)

1.01 (0.79 – 1.29)

0.92 (0.64 – 1.32)

High (>p25)

1^a

1^a

1^a

1^a

1^a

1^a

Low (≤p25)

0.75 (0.45 – 1.26)

0.56 (0.3 – 1.007)

0.54 (0.27 – 1.06)

1.17 (0.87 – 1.57)

0.92 (0.71 – 1.19)

1.19 (0.82 – 1.72)