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Meta-analysis of personality trait differences between omnivores, vegetarians, and vegans.
Reist, Marina E; Bleidorn, Wiebke; Milfont, Taciano L; Hopwood, Christopher J.
Afiliação
  • Reist ME; University of Zurich, Switzerland.
  • Bleidorn W; University of Zurich, Switzerland.
  • Milfont TL; University of Waikato, New Zealand.
  • Hopwood CJ; University of Zurich, Switzerland. Electronic address: hopwood@psychologie.uzh.ch.
Appetite ; 191: 107085, 2023 Oct 10.
Article em En | MEDLINE | ID: mdl-37827200
ABSTRACT
Vegetarian and vegan diets have been increasing in the Western world. Recent research has focused on personality trait differences between dietary groups, in part because personality traits are broad characteristics that can integrate findings about different factors that motivate vegetarian or vegan diets. Previous research on personality predictors of vegetarian and vegan (veg*n) diet, however, has yielded inconsistent results. The goal of this study was to integrate the existing results of Big Five personality differences between veg*ns and omnivores as well as between vegetarians and vegans. To this end, we meta-analyzed data from 15 studies and N = 69,576 individuals from several countries. Results indicated that veg*ns were significantly higher in Openness (d = 0.40) and Agreeableness (d = 0.17) than omnivores, while vegans were significantly higher in Openness (d = 0.14) than vegetarians. This work isolates Openness and Agreeableness as important trait predictors of plant-based diets and sets the stage for future work on the factors that motivate vegetarian or vegan diet. Personality traits can provide an integrative framework for conceptualizing dietary preferences, be used to make predictions about the sources, course and correlates of dietary choices, and potentially be useful for advocates and policymakers seeking to tailor meat-reduction interventions.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article