Dietary patterns and the association with excess weight in university students in the health area
DOI:
https://doi.org/10.52521/nutrivisa.v11i1.14054Keywords:
diet; feeding behavior; overweight; students; health occupations.Abstract
Enrolling in university can negatively affect the dietary habits of young people, fostering unhealthy behaviors like inadequate intake of fruits and vegetables and excessive consumption of ultra-processed foods, which may lead to weight gain. Examining dietary patterns is a crucial approach for the prevention and management of obesity. This cross-sectional study aimed to identify dietary patterns and their association with excess weight among students in health sciences. Principal component factor analysis, followed by varimax orthogonal rotation, identified four dietary patterns: 'common Brazilian' (rice, beans, chicken, and negative factor loading for pasta); 'bakery' (bread, oil, milk, processed foods, pasta, and cake); 'snack bar' (soft drinks, snacks, sugar, and negative factor loading for fruits and vegetables); and 'regional coffee' (corn-based dishes, eggs, coffee, and negative factor loading for vegetables). Together, these four patterns explained 34.83% of the total variance. Excess weight, defined by a body mass index ≥ 25 kg/m², was observed in 32.4% of the students. Robust variance estimation was employed in Poisson regression to calculate the prevalence ratios of excess weight (outcome) concerning dietary patterns (exposure), controlling for sociodemographic factors, at a significance level of 5%. None of the dietary patterns identified were linked to excess weight in the group under investigation. Therefore, we conclude that the four main dietary patterns identified among the evaluated university students ('common Brazilian', 'bakery', 'snack bar', and 'regional coffee') showed no association with excess weight.
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Copyright (c) 2024 Ribanna Aparecida Marques Braga, Letícia Atademos de Oliveira, Maria Dinara de Araújo Nogueira, Renata Cristina Machado Mendes, Ilana Nogueira Bezerra, Luis Felipe Nunes de Oliveira , Soraia Pinheiro Machado Arruda
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