Food Choice Motives Among Two Disparate Socioeconomic Groups In Brazil

APPETITE(2020)

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摘要
Understanding the motives influencing food intake is indispensable for effective dietary recommendations aimed at promoting healthy eating in an integrative way. The objective of this study was to evaluate food choice motives across two socioeconomically different cities in Brazil. A cross-sectional study with a convenience sample (n = 473) of adults living in both places was evaluated. Food choice motives were assessed by The Eating Motivation Survey (TEMS) with 15 dimensions, and economic classifications were made according to the Brazilian Economic Classification Criteria (CCEB). Data analysis used both a general linear model (GLM) and a Structural Equation Model (SEM) adjusted for age, ethnicity, income and educational degree. Participants were mainly women (74.6%) with a mean age of 36.6 years. Cities were not invariant (Delta chi 2 = 314.165, p < 0.001) and two distinct prediction models for food choice motives emerged. Fit indices indicate acceptable model fit for both low (CFI = 0.911; TLI = 0.898; RMSEA = 0.041) and high socioeconomic status groups (CFI = 0.808; TLI = 0.717; RMSEA = 0.081). Although cities differ in the prediction models for food choice motives, we demonstrated that there are two main networks of predictors: one related to social context predictors of food choice motives and another related to hedonic-oriented ones. Particularly, hedonic-oriented motives (i.e., pleasure) were the most relevant predictors to the group of high socioeconomic status followed by social context predictors (traditional eating and sociability). On the other hand, the group of low socioeconomic status had most of its predictors related to social context (i.e., visual appeal, traditional eating, sociability, social norms and social image) and also price, but this last one was the least important among the most important predictors.
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关键词
Food choice motives, Eating behavior, The Eating Motivation Survey, Socioeconomic status, Brazil
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