Table 4 Regression output: the effect of grandmothers’ presence and education on child height and weight-for-age z-scores in all households (N  =  5464)
Height-for-ageWeight-for-age
CoeffSEp1p2CoeffSEp1p2
Constant−1.4940.1230.000−1.5680.0970.000
Maternal education
    Primary0.0600.0440.1720.0450.0380.232
    Secondary0.0550.0510.2820.0710.0430.097
    Higher0.2240.0600.0000.0010.2300.0510.000<0.001
Paternal education
    Primary0.0210.0440.6390.0160.0380.669
    Secondary0.1300.0480.0070.0640.0410.119
    Higher0.2130.0510.000<0.0010.1620.0430.000<0.001
Grandmother status
    Present uneducated−0.0560.0440.197−0.0310.0370.408
    Present educated0.1310.0700.0630.4610.1940.0600.0010.043
Confounders
    Age of mother (years)0.2420.0650.0000.1150.0550.036
    Housing quality score (household wealth) (0–1)0.0360.0400.3740.0570.0340.095
    Household land ownership (0, no; 1, yes)0.0080.0110.4880.0100.0090.304
    Adults in household (no.)−0.0550.0170.001−0.0410.0140.005
    Children in household (no.)0.0170.0210.4100.0100.0180.574
    Economic sectors household involved with (no.)0.1880.1080.0820.2610.0720.000
    Urbanity (0, rural; 1, urban)−0.0970.0940.301−0.3760.0610.000
    Country (0, Vietnam; 1, India)0.2420.0650.0000.1150.0550.036
Independent risk factors
    Age of child (months)−0.0040.0000.000−0.0010.0000.001
    Sex of child (0, female; 1, male)−0.1380.0290.000−0.1050.0250.000
  • p1, p Value for categorical variable; p2, p value for linear variable.