Abstract
Evaluation and interpretation of latent class modelling strategies to characterise dietary trajectories across early life: a longitudinal study from the Southampton women's survey
Highlights
Evaluation and interpretation of latent class modelling strategies to characterise dietary trajectories across early life: a longitudinal study from the Southampton women’s survey
Such relationships are relevant for dietary exposures where poor diet quality over a period of time may be associated with an increased risk of developing obesity
Several methods are available for defining latent classes[3], these have yet to be applied to longitudinal measures of dietary intake across early life
Summary
Evaluation and interpretation of latent class modelling strategies to characterise dietary trajectories across early life: a longitudinal study from the Southampton women’s survey. Researchers and public health experts are increasingly interested in modelling longitudinal data to determine relationships between early life exposures and future health outcomes. Such relationships are relevant for dietary exposures where poor diet quality over a period of time may be associated with an increased risk of developing obesity.
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