Table 2 Results of multiple linear regression analysis (n = 7772)
Dependent variable: HAZ | Model 1 | Model 2 | Model 3 | Model 4 |
|---|---|---|---|---|
Coefficient (SE) | Coefficient (SE) | Coefficient (SE) | Coefficient (SE) | |
Intercept: | 0.031 (0.037) | 4.879*** (0.189) | 4.789*** (0.195) | 4.694*** (0.197) |
Gender: (ref. = male) | −0.612*** (0.021) | −0.612*** (0.021) | −0.399*** (0.073) | |
Age: | − 0.329*** (0.013) | − 0.328*** (0.013) | − 0.328*** (0.013) | |
Race: (ref. = Han race) | 0.173*** (0.038) | 0.167*** (0.039) | 0.166*** (0.039) | |
Number of siblings: | −0.172*** (0.017) | −0.174*** (0.017) | − 0.181*** (0.017) | |
Family economic conditions: (ref. = Poverty) | ||||
Middle income | 0.176*** (0.026) | 0.175*** (0.026) | 0.174*** (0.026) | |
Affluent | 0.372*** (0.048) | 0.371*** (0.048) | 0.376*** (0.048) | |
Child types: (ref. = Rural children) | ||||
Migrant children | 0.096** (0.033) | 0.153*** (0.029) | 0.287** (0.097) | 0.289** (0.097) |
Urban children | 0.233*** (0.028) | 0.165*** (0.026) | 0.301*** (0.083) | 0.294*** (0.083) |
Fathers’ education level: | 0.072*** (0.004) | 0.042*** (0.004) | 0.053*** (0.007) | 0.059*** (0.008) |
Interaction terms between child type and fathers’ years of education: (ref. = Rural children × father’s education level) | ||||
Migrant children × fathers’ education level | −0.018* (0.008) | −0.011 (0.011) | ||
Urban children × fathers’ education level | −0.016† (0.009) | −0.008 (0.009) | ||
Interaction terms between gender, child type and fathers’ education level: (ref. = Male × Rural children × Fathers’ education level) | ||||
Female × Rural children × Fathers’ education level | −0.016† (0.009) | |||
Female × Migrant children × Fathers’ education level | −0.025** (0.008) | |||
Female × Urban children × Fathers’ education level | −0.028*** (0.007) | |||
F-statistic | 212.15*** | 304.72*** | 249.68*** | 198.97*** |
DF | 3 | 9 | 11 | 14 |
R2 | 0.076 | 0.261 | 0.261 | 0.264 |