Comprehensive Summary
This study investigates how nutritional habits and psychological state can predict whether overweight and obese young adults are metabolically healthy (MHO) or unhealthy (MUO). A total of 188 participants were evaluated through dietary surveys, psychological questionnaires, and health markers. Results showed that women with poor diets and higher levels of stress or depression were more likely to be MUO, while in men, higher BMI, depression, and anxiety were stronger predictors. Balanced diets, lower BMI, and better mental health were linked to healthier metabolic status. Neural network models based on IDF criteria achieved the best accuracy, particularly in men, while HOMA-IR models were specific but less sensitive.
Outcomes and Implications
The study shows that nutrition and mental health are key in predicting early cardiometabolic risk. Clinically, this suggests screening tools that combine diet, psychological, and physical data could help identify at-risk patients sooner. IDF-based models appear most promising for real-world use, and gender-specific strategies may improve prevention and intervention.