, 이진명3),4)
, 전민선3),5),†
, Jin-Myung Lee3),4)
, Min-Sun Jeon3),5),†
1)충남대학교 식품영양학과 박사과정생
2)충남대학교 글로컬 라이프케어 융합전공 박사과정생
3)충남대학교 글로컬 라이프케어 혁신인재양성교육연구단
4)충남대학교 소비자학과 교수
5)충남대학교 식품영양학과 교수
1)Ph. D. Student, Department of Food and Nutrition, Chungnam National University, Daejeon, Korea
2)Ph. D. Student, Major of Glocal Life-Care Convergence, Chungnam National University, Daejeon, Korea
3)Interdisciplinary Education Center for the Innovative Next Generation Leaders in Glocal Lifecare, Chungnam National University, Daejeon, Korea
4)Professor, Department of Consumer Studies, Chungnam National University, Daejeon, Korea
5)Professor, Department of Food and Nutrition, Chungnam National University, Daejeon, Korea
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.
