Clinical nutrition studies generate diverse research materials, including study protocols, case report forms, dietary records, laboratory measurements, body composition data, and final reports. However, these resources are often fragmented across storage systems and remain underutilized after study completion. Large language models (LLMs) offer opportunities for knowledge retrieval and documentation, but cloud-based services raise concerns regarding data privacy, institutional governance, and regulatory compliance. This Research Note proposes an institutional local LLM-based framework for secure knowledge retrieval, research documentation, and knowledge reuse in clinical nutrition research. The framework integrates multidisciplinary perspectives from clinical nutrition, human intervention trials, and artificial intelligence. Its architecture comprises five interconnected layers: a clinical nutrition data layer encompassing research documents and structured datasets; a document processing layer for text extraction, metadata generation, and standardization; a knowledge repository layer combining structured and vector databases for metadata management and semantic retrieval; a local LLM layer integrating retrieval-augmented generation with a separate numerical analysis pipeline; and a researcher interface supporting natural language queries and evidence-linked documentation. The proposed framework provides a conceptual foundation for secure, reusable institutional research knowledge management.

Objective

This study aimed to compare the nutrient intake, nutrition knowledge, and dietary habits of track-and-field (TF) and weight-class (WC) adolescent varsity athletes.
Methods
This cross-sectional study included 144 adolescent athletes (TF group, 76; WC group, 68) aged 15 to 18 years at a physical education high school in Seoul, South Korea. Their nutrient intake, dietary quality, nutrition knowledge, dietary habits, and weight control behaviors were assessed using food records and questionnaires.
Results
Regarding nutrient intake, the consumption of carbohydrates, including energy, was substantially lower than the sports nutrition recommendations in both groups. However, the overall diet quality, including the mean adequacy ratio and nutrient adequacy ratio for key micronutrients, was significantly higher in the WC group than in the TF group, with female WC athletes consuming significantly more energy than female TF athletes (P<0.05). For nutrition knowledge, both groups lacked overall sports nutrition understanding; however, the WC group scored significantly higher in dietary fat knowledge (P<0.05). As for dietary habits, despite having better meal quality, harmful weight control behaviors, including skipping breakfast (P<0.001) and fasting (P<0.05), were significantly more common in the WC group than in the TF group.
Conclusion
The WC group, while showing better meal quality, practiced unhealthier dietary behaviors and weight control methods more often than the TF group. Additionally, both groups exhibited insufficient energy intake and lacked overall nutrition knowledge. Therefore, tailored sports nutrition education is urgently needed among South Korean adolescent athletes.