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.
Objectives The dietary habits of school-aged children play a critical role in their growth and development, and are strongly influenced by the home environment. Household income is closely associated with caregivers’ food literacy, social support, and food environment. This directly affects the nutritional status of children. This study aimed to provide evidence to inform policies and educational programs for improving dietary habits in children, and to establish a foundation for tailored support strategies for low-income families.
Methods This cross-sectional study included 846 primary caregivers of school-aged children from 17 regions across Korea, recruited through an online survey. Household income, caregivers’ food literacy, social support, and food environment were assessed. Nutritional status in children was measured using the Nutrition Quotient for Children (NQ-C). Statistical analyses included descriptive statistics, chi-square tests, one-way analysis of variance (ANOVA), analysis of covariance (ANCOVA), correlation analyses, and multiple linear regression.
Results Caregivers from higher income households demonstrated significantly greater food literacy and social support (P < 0.001). Children from these households showed high balance scores and a large proportion of these children were in the “high” NQ-C grade. The NQ-C score in children was positively correlated with food literacy (r = 0.425), social support (r = 0.471), and the food environment (r = 0.235) (P < 0.001). Multiple regression analysis showed that food literacy (β = 0.256) and social support (β = 0.348) were significant predictors of nutritional status in children.
Conclusion This study confirmed that the nutritional status in children is not only determined solely by household income but is also mediated by caregivers’ food literacy, social support, and food environment. These findings highlighted the limitations of providing only economic support. The findings underscore the need for multifaceted interventions such as strengthening parental nutrition education, expanding social support networks, and improving access to healthy foods.
Objectives This study attempted to examine the association between health literacy and health-promoting behavior, and identify the major variables that affect the health-promoting behavior of university students. Methods This was a descriptive correlation study that identified the degree of health literacy and health-promoting behavior of 248 university students (119 male and 129 female) and examined the correlation between the two and factors influencing them. The questionnaire covering health literacy comprised 66 questions, and that for health-promoting behavior comprised 10 questions covering eating habits, 3 questions about physical activity, and 10 questions involving stress. Results The score for health literacy was 41.56 ± 18.38 out of 66 points, and that for health-promoting behavior was 65.27 ± 11.21 points (27.61 ± 6.72 points for eating habits, 7.23 ± 2.56 points for physical activity, and 30.44 ± 5.61 points for stress). Health literacy and health-promoting behavior had a significant positive correlation (r = 0.175, P < 0.01). The perceived health status (β = 0.391,P < 0.001) was the most important variable in healthpromoting behavior, followed by health literacy (β = 0.236, P < 0.001). Conclusions It is necessary to develop a systematic educational strategy and implement educational programs to improve health literacy as well as encourage health-promoting behavior and thus increase the perceived health levels of university students.
Citations
Citations to this article as recorded by
Differences in Nutritional Status According to the Residence Types among University Students in Gwangju Geum-Bi Ryu, Young-Ran Heo Journal of the Korean Society of Food Science and Nutrition.2024; 53(2): 207. CrossRef