Ontology highlight
ABSTRACT: Objective
We describe a new method for identifying and quantifying the magnitude and rate of short-term weight faltering episodes, and assess how (a) these episodes relate to broader growth outcomes, and (b) different data collection intervals influence the quantification of weight faltering.Materials and methods
We apply this method to longitudinal growth data collected every other day across the first year of life in Gambian infants (n = 124, males = 65, females = 59). Weight faltering episodes are identified from velocity peaks and troughs. Rate of weight loss and regain, maximum weight loss, and duration of each episode were calculated. We systematically reduced our dataset to mimic various potential measurement intervals, to assess how these intervals affect the abilit
SUBMITTER: Naumenko DJ
PROVIDER: S-EPMC8247282 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature