Objectives: This study aimed to investigate the current status of nutrition management and digital utilization, the demand for e-learning nutrition education, and the factors influencing e-learning nutrition education among older adults. Methods: A total of 500 older adults aged 65–84 years, registered as panelists with a professional survey agency, participated in an online survey. Chi-square and independent samples t-tests were used to examine gender differences. Correlations between participants’ general characteristics and the major variables were analyzed. Based on the results, a moderated regression analysis was conducted to identify how the general characteristics significantly associated with the intention to use e-learning nutrition education functioned as moderators. Results: Significant gender differences were observed in nutrition education experience, interest and practice of nutrition management, barriers, and digital device utilization (all P < 0.05). Exploratory factor analysis identified four sub-factors for education needs: ‘Self-directed well-being practice education’, ‘Dietary therapy for major chronic diseases’, ‘Nutrition strategy for longevity and anti-aging’, and ‘Enhancing nutrition literacy education’. In Model 1, the need for digital education, interest in nutrition management, and gender were significantly associated with usage intention (all P < 0.05), whereas health-promoting behavior showed marginal significance (P = 0.06). Although the Model 2 interaction was significant, the change in explanatory power was negligible (Delta R2 = 0.003), and all interaction terms were non-significant (P > 0.05), indicating that the relationships are not moderated by gender. Conclusion Although older adults exhibited high interest in nutrition management, their experience with nutrition education was limited. Significant gender differences in educational needs and health-promoting behaviors highlight the importance of tailored strategies. Enhancing digital accessibility and providing gender-specific, competency-based content are essential to effectively translate interest into behavioral change. This study underscores the importance of integrating gender-specific approaches, individual digital competencies, and inducement of health-promoting behaviors when developing e-learning nutrition education programs for older adults.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

Objectives: The aim of this qualitative study was to explore and understand the behaviors and challenges of self-nutrition management from the perspective of elderly. Methods: In May 2025, ten elderly aged 65–83 years with prior experience using digital devices were recruited through purposeful sampling. Data were collected via focus group interviews using a semi-structured questionnaire until saturation was reached, and all interviews were recorded, transcribed, and analyzed using traditional content analysis methods. The collected interview data were extracted focusing on phrases or sentences relevant to the research purpose, and various concepts derived through memo writing and the constant comparison were categorized based on common meanings. Subsequently, the categorized statements were deeply interpreted and reclassified into subcategories for final analysis. Results: Under the overarching theme of development directions for a digital self-nutrition management education program for elderly, three main categories and 13 subcategories were derived. The three main categories include: (1) processes of acceptance and utilization of digital technologies; (2) potential for applying digital self-nutrition management; and (3) strategies for implementing digital-based nutrition education. Conclusion Our findings indicate that elderly face barriers to utilizing digital tools for self-nutrition management not only due to physical or technical limitations, but also because of the confusion arising from limited nutrition knowledge and information overload. To overcome the barriers that may arise during the digital-based education process for elderly, strategies (educational topics, delivery strategies, and operational strategies) were derived to vitalize a digital self-nutrition management education program. These results highlight the necessity of developing tailored digital nutrition education programs that reflect the characteristics of elderly, which may enhance their practical applicability and provide foundational evidence for establishing a digital–nutrition integrated care model within the senior customized care service.

New supplements with preventive effects against skin photodamage are receiving increasing attention. This study evaluated the anti-photoaging effects of salmon nasal cartilage proteoglycan (SPG), acting as a functional material for skin health. We administered SPG to in vitro and in vivo models exposed to ultraviolet B (UVB) radiation and assessed its moisturizing and anti-wrinkle effects on dorsal mouse skin and keratinocytes and dermal fibroblasts cell lines. These results showed that SPG restored the levels of filaggrin, involucrin, and AQP3 in the epidermis of UVB-irradiated dorsal skin and keratinocytes, thereby enhancing the keratinization process and water flow. Additionally, SPG treatment increased the levels of hyaluronan and skin ceramide, the major components of intercellular lipids in the epidermis. Furthermore, SPG treatment significantly increased the levels of collagen and procollagen type 1 by down-regulating matrix metalloproteinase 1, which play a crucial role in skin fibroblasts, in both in vitro and in vivo models. In addition, SPG strongly inhibited mitogen-activated protein kinase (MAPKs) signaling, the including extracellular signal-regulated kinase, c-Jun N-terminal kinase (JNK), and p38. These findings suggest that dietary SPG may be an attractive functional food for preventing UVB-induced photoaging. And this SPG product may provide its best benefit when treating several signs of skin photoaging.