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Do mental wellbeing and emotional eating influence BMI similarly or differently? Evidence from a sample of Peruvian adolescents
Author(s)
Universidad Señor de Sipán
Universidad Señor de Sipán
Date Issued
24 de abril de 2025
Type
Article
Publisher
Frontiers Media SA
Volume
13
Series/Report No.
Frontiers in Public Health
Contained in
Frontiers in Public Health
ISSN
2296-2565
Abstract
Background The literature highlights that both mental wellbeing and emotional eating are closely related to BMI, but little is known about how these variables interact similarly or differently. Therefore, the aim of this study was to determine the predictive role of mental wellbeing and emotional eating on body mass index (BMI) in Peruvian adolescents. Methods This research used a non-experimental and predictive design. The sample consisted of 270 students aged 12–18 years from a public educational institution in the province of Tocache, Peru. The sample was selected through non-probability purposive sampling. The study employed the Mental Health Inventory (R-MHI-5), the Emotional Eating Scale (EES), and BMI was calculated using Quetelet’s formula. Results Correlations revealed that mental wellbeing was negatively associated with BMI (r = −0.277, p < 0.001, 95% CI = [−0.384, −0.163]), whereas emotional eating was positively associated with BMI (r = 0.274, p < 0.001, 95% CI = [0.160, 0.381]). In the multiple regression analysis, Model 2 emerged as the most suitable (adjusted R2 = 0.112, F = 17.953, p < 0.001, BIC = 1,318), explaining 11.2% of the variance in BMI. Standardized coefficients indicated that mental wellbeing had a significant negative effect on BMI (β = −0.217, 95% CI = [−0.3353, −0.0997], p < 0.001), while emotional eating had a significant positive effect (β = 0.213, 95% CI = [0.0952, 0.3308], p < 0.001). Moreover, both coefficients showed similar magnitudes. Conclusion The findings of this study confirm that mental wellbeing and emotional eating exert opposing yet similarly sized influences on BMI in Peruvian adolescents. These results underscore the importance of addressing both variables equitably in interventions aimed at improving adolescents’ nutritional status.