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August 15, 2025NutrientsOpen Access

Predicting Metabolic and Cardiovascular Healthy from Nutritional Patterns and Psychological State Among Overweight and Obese Young Adults: A Neural Network Approach

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Authors

GOGeovanny Genaro Reiván OrtizLMLaura Maraver-CapdevilaRGRoser Granero

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Overview

Neural network analysis shows dietary and psychological factors predict metabolic health in overweight young adults, highlighting gender differences.

Key Points

  • Neural network models identified dietary and psychological factors that predict metabolic health outcomes among young adults with overweight or obesity.
  • Specificity and sensitivity varied based on classification criteria, achieving high accuracy in predicting metabolic conditions in male participants.
  • Among women, poor diets and high depression levels were linked to unhealthy metabolic outcomes, while balanced diets promoted healthier status.
  • Findings suggest the need for personalized prevention programs addressing individual dietary and psychological factors during university years.

Cite This Study

Ortiz et al. (2025) studied this question.

synapsesocial.com/papers/68af6c107567bf4f94fea2e9https://doi.org/10.3390/nu17162651
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Network study of the nutritional patterns, the metabolic and the psychological status among overweight-obese young adults2025
  2. 2Investigating Nutritional and Health Dynamics across Stratified Profiles of Obesity2025
  3. 3Risk factors analysis and prediction models of obesity in college students based on dietary patterns2025 · 3 citations
  4. 4Development and validation of a predictive model for weight loss psychological distress in obese patients: a cross-sectional study2025
  5. 5Association of Childhood Obesity Phenotypes With Cardiometabolic Outcomes in Adulthood: A Systematic Review and Meta‐Analysis2025