Adherence

A hybrid diet quality index derived from food liking surveys, which combines conceptual food grouping with empirical weighting via ridge regression, significantly predicts cardiometabolic risk factor scores in young adults, explaining more variance (6.5%) than theoretically or empirically derived indexes alone.

To improve your cardiometabolic health, focus on building a diet quality index based on what you actually like, rather than just what you think you should eat. This study suggests that combining your food preferences with health guidelines (a 'hybrid' approach) is a better predictor of heart and metabolic health than standard dietary guidelines alone. You can use a food liking survey to identify your preferences, then weight them by healthfulness (e.g., liking vegetables gets a high score, liking sugary drinks gets a low score) to create a personalized diet quality score. This approach leverages your natural preferences to sustain a healthier diet.