Development and Validation of a Prediction Model for Infant Fat Mass.

ABSTRACT:

Objectives

To develop and validate a prediction model for fat mass in infants ≤12 kg using easily accessible measurements such as weight and length.

Study design

We used data from a pooled cohort of 359 infants age 1-24 months and weighing 3-12 kg from 3 studies across Southern California and New York City. The training data set (75% of the cohort) included 269 infants and the testing data set (25% of the cohort) included 90 infants age 1-24 months. Quantitative magnetic resonance was used as the standard measure for fat mass. We used multivariable linear regression analysis, with backwards selection of predictor variables and fractional polynomials for nonlinear relationships to predict infant fat mass (from which lean mass can be estimated by subtracting resulting estimate

SUBMITTER: Plows JF 

PROVIDER: S-EPMC9680921 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature