Table 3.
Log-Linear Regression of Body Mass Index with Predictor Variables in Children Aged 6 Years
Predictor variable | Regression coefficient | 95% confidence interval | p value |
---|---|---|---|
Exclusive BF (weeks) | 0.021 | −0.028 to 0.070 | 0.44 |
FBF (weeks) | −0.035 | −0.065 to −0.006 | 0.01 |
Any BF (weeks) | 0.007 | −0.007 to 0.028 | 0.28 |
Maternal BMI (kg/m2) | 0.127 | 0.058–0.197 | <0.01 |
Infant weight gain (kg) | 0.348 | 0.072–0.624 | 0.01 |
Alcohol consumption during pregnancy (g/d) | 0.266 | 0.123–0.408 | <0.01 |
Mother smoking during periconceptional (cig/w) | 0.004 | −0.005 to 0.013 | 0.41 |
Mother smoking (dichotomous) | −0.191 | −1.314 to 0.933 | 0.74 |
Mother education | −0.004 | −0.604 to 0.596 | 0.99 |
Father education | 0.186 | −0.368 to 0.739 | 0.51 |
Net income | −0.396 | −0.860 to 0.068 | 0.09 |
End Point: BMI (6 years) r2 = 0.261, Durbin–Watson = 2.15.
The following predictor variables were included: Maternal BMI, Infant weight gain (kg), mother smoking during periconceptional (dichotomous and cig/week) periods, Exclusive BF, ABF and FBF, mother and father educational level (ordinal), net income per month (ordinal), Infant weight gain and alcohol intake during pregnancy (g/day). To obtain predictor variables the comparisons of all variables were made using the unpaired Student's t test, ANOVA test and Pearson/Spearman's rho correlation.