中国P站

Abstract

Dietary assessment methods are evolving, integrating digital tools, biomarkers, and AI to improve accuracy and efficiency. While mobile apps and wearable sensors offer convenience and objectivity, they require rigorous validation and face challenges in cost, ethics, and adherence. Socioeconomic and cultural factors significantly influence reporting accuracy, necessitating tailored approaches. Biomarkers, when combined with self-reports, enhance nutritional understanding. Food database quality and portion size estimation remain critical for accuracy. Reporting biases are evident in self-report tools, and culturally adapted methods are essential for diverse populations. AI-powered image analysis presents a promising automated solution. Pediatric dietary assessment requires specialized, age-appropriate tools due to reliance on proxy reporters. Overall, the field strives for more precise, accessible, and culturally relevant dietary data to advance nutrition science and public health