Risk Profiles of Poor Diet Quality Among University Students: A Multivariate Segmentation Analysis
Luis Moral-Moreno1, Elizabeth Flores-Ferro2, Fernando Maureira Cid3
1Departamento de Didáctica de la Expresión Musical, Plástica y Corporal, Centro de Enseñanza Superior Don Bosco, María Auxiliadora, 9, 28040 Madrid, Spain.
University students exhibit poor diet quality influenced by factors like country and socioeconomic status. Strategies must be localized, promoting healthy eating and physical activity on campuses.
Area of Science:
- Nutrition Science
- Public Health
- Behavioral Science
Background:
- University students often exhibit unhealthy eating habits due to economic, cultural, and psychosocial factors, increasing risks for chronic and mental health disorders.
- The COVID-19 pandemic significantly altered dietary and physical activity (PA) patterns among students, necessitating an understanding of diet quality (DQ) determinants.
- Identifying risk profiles for poor DQ is crucial for developing targeted interventions in diverse student populations.
Purpose of the Study:
- To identify risk profiles associated with poor diet quality (DQ) among university students across Chile, Mexico, Spain, and Italy.
- To utilize multivariate segmentation analysis for understanding the complex interplay of factors influencing student dietary habits.
- To inform culturally and contextually relevant public health strategies for improving student nutrition.
Main Methods:
- A cross-sectional predictive study involving 686 university students (mean age 22.4 ± 5.1 years).
- Data collected via online questionnaires assessing sociodemographic, academic, health, and lifestyle factors, including PA (International Physical Activity Questionnaire-Short Form) and DQ (Healthy Eating Index).
- Analyses employed descriptive, inferential statistics, and decision tree models (CHAID and CART) for segmentation.
Main Results:
- Significant differences in Healthy Eating Index (HEI) scores were found across countries, fields of study, academic years, and PA levels (p < 0.001).
- Chilean and Mexican students demonstrated the lowest DQ. Decision tree models showed high overall accuracy but limited balanced accuracy, indicating value in identifying at-risk subgroups.
- Key determinants of poor DQ included country of residence, socioeconomic status, field of study, PA, and BMI, varying by analysis model.
Conclusions:
- Public health strategies should be tailored to local contexts, recommending Mediterranean-style diets in Europe and improved access to healthy foods in Latin America.
- Campus initiatives integrating nutrition education, physical activity promotion, and psychosocial support are essential for enhancing student well-being.
- Addressing socioeconomic and geographic factors is critical for mitigating poor diet quality among university students globally.
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