Digital nutrition technologies integrating mobile health applications and artificial intelligence (AI) have rapidly evolved as scalable tools for promoting healthy eating behaviors. This PhD-level research paper critically examines the effectiveness of digital nutrition interventions with emphasis on usage patterns, user adherence, and health outcomes. Using a systematic review approach, peer-reviewed literature published between 2015 and 2025 was analyzed to synthesize evidence on behavioral, clinical, and technological outcomes. Findings indicate that mobile nutrition apps improve dietary awareness, self-monitoring, and short- to medium-term health outcomes such as weight management and diet quality. AI-driven personalization further enhances user engagement and reduces self-reporting burden. However, sustained adherence remains a major limitation. This paper highlights the need for theory-driven design, ethical AI implementation, and longitudinal research to strengthen the role of digital nutrition in public health and clinical practice.
Dr. Archana Kasaudhan (Thu,) studied this question.