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Statistical analysis of the longitudinal fundamental movement skills data in the REACT project using the multilevel ordinal logistic model.

Donald HedekerSara PereiraFernando G Dos SantosTiago V BarreiraRui GargantaCláudio FariasGo TaniJean-Philippe ChaputDavid F StoddenJosé MaiaPeter Todd Katzmarzyk
Published in: American journal of human biology : the official journal of the Human Biology Council (2023)
Our analyses show both the between-subjects and within-subjects effects of age on motor development outcomes across three timepoints. The between-subjects effect of age indicate that children that are older have higher motor development ratings, relative to thoese that are younger, whereas the within-subject effect of age indicates higher motor development ratings as a child ages. It is the latter effect that is particularly of interest in longitudinal studies of motor development, and an important advantage of using the multilevel ordinal logistic model relative to more traditional methods.
Keyphrases
  • young adults
  • physical activity
  • mental health
  • type diabetes
  • machine learning
  • metabolic syndrome
  • quality improvement
  • insulin resistance