Prospective prediction of childhood body mass index trajectories using multi-task Gaussian processes.

ABSTRACT:

Background

Body mass index (BMI) trajectories have been used to assess the growth of children with respect to their peers, and to anticipate future obesity and disease risk. While retrospective BMI trajectories have been actively studied, models to prospectively predict continuous BMI trajectories have not been investigated.

Materials and methods

Using longitudinal BMI measurements between birth and age 10 y from a mother-offspring cohort, we leveraged a multi-task Gaussian process approach to develop and evaluate a unified framework for modeling, clustering, and prospective prediction of BMI trajectories. We compared its sensitivity to missing values in the longitudinal follow-up of children, compared its prediction performance to cubic B-spline and multilevel Jenss-Bayley

SUBMITTER: Leroy A 

PROVIDER: S-EPMC11805709 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature