Latent Class approach to analyze children’s nutritional trajectory and school dropout. A longitudinal population-based application

Alejandra Marroig () and Graciela Muniz-Terrera
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Alejandra Marroig: Universidad de la República
Graciela Muniz-Terrera: OHIO University

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 2, No 25, 1519-1531

Abstract: Abstract The study of the nutritional status is relevant during the entire life course, but in children it is relevant as malnutrition may be a marker of underlying functional and mental health deficits. Evidence of the association between malnutrition and school dropout is not conclusive. Our aim was to analyze children’s nutritional trajectory measured using their Body Mass Index (BMI) of a Uruguayan cohort and its association with school dropout. With this purpose, Latent Class and Joint Latent Class Mixed Models were fitted to children’s cohort study (N = 1392 girls and 1492 boys) in sex-stratified analyses adjusting for sociodemographic characteristics. We identified latent classes of boys and girls with similar BMI trajectories during school years and differences in relevant socioeconomic and anthropometric characteristics. Results indicated that boys dropped out at younger ages than girls. No association between age of school dropout and nutritional trajectory classes was found. None of the classes exhibited a deficit or decrease in BMI trajectories during school ages, although the obesity and overweight classes could be of concern. Results suggested no significant association between obesity or overweight and age of school dropout for children up to 14 years old. Future research on other samples may inform about trajectories in higher educational levels.

Keywords: Latent class; Growth mixture models; Nutritional trajectories; School dropout (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11135-022-01421-w

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