Eating Behavior of Brazilian College Students: Influences of Lifestyle, Negative Affectivity, and Personal Characteristics

Author:

Martins Bianca G.1,da Silva Wanderson R.1ORCID,Marôco João2,Campos Juliana A. D. B.1ORCID

Affiliation:

1. Department of Biological Sciences, São Paulo State University, São Paulo, Brazil

2. William James Center for Research, Instituto Universitário de Ciências Psicológicas, Sociais e da Vida, Portugal

Abstract

In this study we proposed to estimate the impact of lifestyle, negative affectivity, and college students’ personal characteristics on eating behavior. We aimed to verify that negative affectivity moderates the relationship between lifestyle and eating behavior. We assessed eating behaviors of cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE)) with the Three-Factor Eating Questionnaire-18. We assessed lifestyle with the Individual Lifestyle Profile, and we assessed negative affectivity with the Depression, Anxiety and Stress Scale-21. We constructed and tested (at p < .05) a hypothetical causal structural model that considered global (second-order) and specific (first-order) lifestyle components, negative affectivity and sample characteristics for each eating behavior dimension. Participants were 1,109 college students ( M age = 20.9, SD = 2.7 years; 65.7% females). We found significant impacts of lifestyle second-order components on negative affectivity (β = −0.57–0.19; p < 0.001–0.01) in all models. Physical and psychological lifestyle components impacted directly only on CR (β=−0.32–0.81; p < 0.001). Negative affectivity impacted UE and EE (β = 0.23–0.30; p < 0.001). For global models, we found no mediation pathways between lifestyle and CR or UE. For specific models, negative affectivity was a mediator between stress management and UE (β=−0.07; p < 0.001). Negative affectivity also mediated the relationship between thoughts of dropping an undergraduate course and UE and EE (β = 0.06–0.08; p < 0.001). Participant sex and weight impacted all eating behavior dimensions (β = 0.08–0.34; p < 0.001–0.01). Age was significant for UE and EE (β=−0,14– −0.09; p < 0.001–0.01). Economic stratum influenced only CR (β = 0.08; p = 0.01). In sum, participants’ lifestyle, negative emotions and personal characteristics were all relevant for eating behavior assessment.

Publisher

SAGE Publications

Subject

Sensory Systems,Experimental and Cognitive Psychology

Reference50 articles.

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3. Alvarenga M. (2019). Fundamentos teóricos sobre análise e mudança de comportamento [Theoretical foundations on behavior analysis and change]. In M. Alvarenga, M. Figueiredo, F. Timerman, & C. Antonaccio (Eds.), Nutrição comportamental (Vol. 1, pp. 16). Manole.

4. Alvarenga M., Figueiredo M., Polacow V. (2019). Consequências da restrição Para o comportamento alimentar [Consequences of restriction for eating behavior]. In M. Alvarenga, M. Figueiredo, F. Timerman, & C. Antonaccio (Eds.), Nutrição comportamental (2nd ed., pp. 73–113). Manole.

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