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Artificial intelligence as an analytic approximation to evaluate associations between parental feeding behaviours and excess weight in Colombian preschoolers.
Gamboa, Edna M; Amaya, Claudia I; Bahamonde, Antonio.
Afiliação
  • Gamboa EM; School of Nutrition and Dietetics, Universidad Industrial de Santander, Bucaramanga, Santander680003, Colombia.
  • Amaya CI; Public Health Department, School of Medicine, Universidad Industrial de Santander, Bucaramanga, Santander680003, Colombia.
  • Bahamonde A; Department of Informatics, Artificial Intelligence Center, Universidad de Oviedo, Gijón, 33204Asturias, Spain.
Br J Nutr ; 126(1): 131-137, 2021 07 14.
Article em En | MEDLINE | ID: mdl-32981542
Parental practices can affect children's weight and BMI and may even be related to a high prevalence of obesity. Therefore, the aim of this study was to evaluate the relationship between parents' practices related to feeding their children and excess weight in preschoolers in Bucaramanga, Colombia, using artificial intelligence. A cross-sectional study was carried out between September and December 2017. The sample included preschoolers who attended child development institutions belonging to the Colombian Institute for Family Wellbeing in Bucaramanga and the metropolitan area (n 384). The outcome variable was excess weight and the main independent variable was parental feeding practices. Confounding variables analysed included sociodemographic characteristics, food consumption, and children's physical activity. All equipment for the anthropometric measurements was calibrated. Logistic regression was used to predict the effect of parental practices on the excess weight of the children, and the AUC was used to measure performance. The parental practices with the greatest association with excess weight in the children involved using food to control their behaviour and restricting the amount of food they offered (use of food to control emotions (OR 1·77; 95 % CI 1·45, 1·83; P = 0·034) and encouraging children to eat less (OR 1·22; 95 % CI 1·14, 1·89; P = 0·045)). Childrearing practices related to feeding were found to be an important predictor of excess weight in children. The results of this study represent implications for public health considering this as a baseline for the design of nutrition education interventions focused on parents of preschoolers.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Poder Familiar / Sobrepeso / Comportamento Alimentar / Obesidade Infantil Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Child, preschool / Humans País/Região como assunto: America do sul / Colombia Idioma: En Revista: Br J Nutr Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Poder Familiar / Sobrepeso / Comportamento Alimentar / Obesidade Infantil Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Child, preschool / Humans País/Região como assunto: America do sul / Colombia Idioma: En Revista: Br J Nutr Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Reino Unido