Fig 1.
Study flow chart.
Table 1.
Comparison of children included and not included in the LCA analysis.
Fig 2.
Longitudinal BMI Z-score trajectories identified by the latent class modeling.
Z-scores were computed according to the ‘‘WHO child growth standards” for children less than 1,856 days of age, and according to the ‘‘WHO growth standards for school-aged children and adolescents” thereafter.
Table 2.
Results from the multiple multinomial logistic regression.
The reference group is the “normal” trajectory.
Table 3.
Comparison of preterm children included and not included in the GSA analysis.
Fig 3.
Association between abnormal BMI Z-score trajectories and low GSA scores at five years of age using (A) unadjusted logistic regression (B) logistic regression adjusted for gender, birth weight Z-score, and gestational age and (C) logistic regressions adjusted for gender, birth weight Z-score, and gestational age based on propensity matching. The reference trajectory is the “normal” trajectory.
Propensity score matching were performed using a set of 20 variables reflecting the characteristics of the child, the characteristics of the mother and her pregnancy, the characteristics of the neonatal hospitalization, as well as the child nutrition/growth characteristics during hospitalization.