Relationships between three eating behaviors and nine motives for food choices among brazilian adults: A structural equation model

• Autor(a) principal: Silva, Wanderson Roberto Da
• Data de Publicação: 2023
• Outros Autores: Ferreira, Eric, Maroco, J. P., da Silva Júnior, Sinézio I., Aparecida Teodoro, Micaela, Alvares Duarte Bonini Campos, Juliana
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.12/9596
• topic: Brazil; Adults; Cognitive restriction; Uncontrolled eating; Eating behavior; Food choice; Motives; Questionnaire; Structural equation modeling; Emotional eating

We examined the relationships between three eating behaviors and nine motives underlying food choices made by Brazilian adults. Using participant responses to the short version of the Three-Factor Eating Questionnaire and the Food Choice Questionnaire, we investigated eating behaviors (cognitive restriction, uncontrolled eating, and emotional eating) and motives for food choices (health, mood, convenience, sensory appeal, natural content, price, weight control, familiarity, and ethical concern). We used a structural equation model to test relationship pathways (β), with eating behaviors as independent variables and motives for food choices as dependent variables. Participants were 1297 individuals (69.5% female) with a mean age of 25.0 years (SD = 5.8). We confirmed the validity and reliability of the questionnaires in this sample. Restrictive eating behavior was significantly related to motives of health (β = .415), mood (β = .127), natural content (β = .364), weight control (β = .681), and ethical concern (β = .161). Emotional eating behavior was related to motives of mood (β = .277), health (β = .137), and natural content (β = .136). Uncontrolled eating behavior was related to motives of convenience (β = .226), sensory appeal (β = .121), price (β = .153), and familiarity (β = .090). We believe these findings can now help design future research and clinical interventions for managing people’s risky eating behaviors and promoting beneficial food choices.