Prediction of BMI at age 11 in a longitudinal sample of the Ulm Birth Cohort Study

PLoS One. 2017 Aug 23;12(8):e0182338. doi: 10.1371/journal.pone.0182338. eCollection 2017.

Abstract

Obesity is one of the greatest public health challenges in the world with childhood prevalence rates between 20-26% and numerous associated health risks. The aim of the current study was to analyze the 11-year follow-up data of the Ulm Birth Cohort Study (UBCS), to identify whether abnormal eating behavior patterns, especially restrained eating, predict body mass index (BMI) at 11 years of age and to explore other factors known to be longitudinally associated with it. Of the original UBCS, n = 422 children (~ 40% of the original sample) and their parents participated in the 11-year follow-up. BMI at age 8 and 11 as well as information on restrained eating, psychological problems, depressive symptoms, lifestyle, and IQ at age 8 were assessed. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to predict children's BMI scores at age 11. PLS-SEM explained 68% of the variance of BMI at age 11, with BMI at age 8 being the most important predictor. Restrained eating, via BMI at age 8 as well as parental BMI, had further weak associations with BMI at age 11; no other predictor was statistically significant. Since established overweight at age 8 already predicts BMI scores at age 11 longitudinally, obesity interventions should be implemented in early childhood.

MeSH terms

  • Body Mass Index*
  • Child
  • Child Behavior
  • Eating
  • Female
  • Germany
  • Humans
  • Longitudinal Studies
  • Male

Grants and funding

This work was supported by grants of the German Research Foundation (BR 1704/3-1, BR 1704/3-2, BR 1704/3-3) and of the “Kompetenznetz Adipositas” (Competence Network Obesity) funded by the Federal Ministry of Education and Research (FKZ 01GI0840). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.