Table 3 Effect of socio-economic and demographic factors on nutritional status of children in India and Bangladesh using binary logistic regression

Socio-economic and demo variable

India

Bangladesh

India

Bangladesh

AOR, 95% CI

of AOR

(Lower-Upper)

AOR, 95% CI

of AOR

(Lower-Upper)

AOR, 95% CI

of AOR

(Lower-Upper)

AOR, 95% CI

of AOR

(Lower-Upper)

 Secondary education

1.518 (1.446–1.594)**

1.379 (1.235–1.540)**

1.582 (1.505–1.662)**

1.395 (1.238–1.572)**

 Higher sec. and above

2.458 (2.232–2.708)**

2.781 (2.3001–3.362)**

2.744 (2.479–3.037)**

2.708 (2.187–3.352)**

 Profession

1.002 (0.829–1.211)

1.039 (0.661–1.634)

1.094 (0.892–1.342)

0.819 (0.512–1.312)

 Sales

0.824 (0.662–1.026)

1.404 (0.817–2.413)

0.943 (0.748–1.190)

1.518 (0.810–2.843)

 Agriculture

0.907 (0.850–0.967)**

0.955 (0.852–1.071)

0.914 (0.857–0.976)**

1.066 (0.940–1.208)

 Service

0.887 (0.764–1.029)

0.767 (0.590–0.997)*

1.017 (0.871–1.187)

0.750 (0.568–0.989)*

 Other work

0.920 (0.832–1.017)

0.842 (0.694–1.021)

1.193 (1.135–1.253)**

0.880 (0.714–1.083)

 1 to 2

1.265 (1.205–1.327)**

1.111 (0.994–1.241)

0.996 (0.940–1.056)

1.180 (1.048–1.329)**

 Urban

1.086 (1.026–1.149)**

1.118 (0.997–1.253)

0.996 (0.940–1.056)

1.086 (0.958–1.231)

 Muslim

1.123 (1.056–1.194)**

1.013 (0.843–1.217)

1.383 (1.299–1.473)**

1.055 (0.864–1.289)

 Others

1.379 (1.282–1.483)**

0.950 (0.494–1.825)

2.069 (1.911–2.239)**

0.978 (0.480–1.994)

 Non-poor

1.399 (1.326–1.476)**

1.512 (1.351–1.691)**

2.069 (1.911–2.239)**

1.404 (1.242–1.586)**