Purpose: Ultra-processed foods (UPFs) play a significant role in modern diets but are associated with various health risks, including obesity, cardiovascular disease, and diabetes.This study examined the consumption patterns of UPFs among middle-aged adults, older adults, and the oldest older adults in South Korea to identify the key food sources contributing to UPF intake using the Korean NOVA classification system. Methods: Data from the 2016–2019 Korea National Health and Nutrition Examination Survey were analyzed for 13,396 participants aged 40 years and older. Individuals with extreme energy intakes, serious diseases, or incomplete dietary records were excluded. The UPF intake levels were categorized into quartiles (Q1–Q4) based on the proportion of energy derived from UPFs, excluding individuals who did not consume UPFs. Results: In all age groups, the group with a high proportion of UPF consumption tended to have higher energy and macronutrient intake but lower micronutrient intake. The UPFs contributing significantly to energy intake were primarily alcohol and grain-based products.On the other hand, the energy contribution from UPFs based on legumes, milk, and dairy products tended to increase as the level of UPF consumption increased, and this trend was more significant with increasing age. Conclusion This study identified the differences in UPF consumption patterns across age groups and highlighted the importance of selective consumption based on the types of UPFs.

Purpose: Ultra-processed foods (UPFs) play a significant role in modern diets but are associated with various health risks, including obesity, cardiovascular disease, and diabetes.This study examined the consumption patterns of UPFs among middle-aged adults, older adults, and the oldest older adults in South Korea to identify the key food sources contributing to UPF intake using the Korean NOVA classification system. Methods: Data from the 2016–2019 Korea National Health and Nutrition Examination Survey were analyzed for 13,396 participants aged 40 years and older. Individuals with extreme energy intakes, serious diseases, or incomplete dietary records were excluded. The UPF intake levels were categorized into quartiles (Q1–Q4) based on the proportion of energy derived from UPFs, excluding individuals who did not consume UPFs. Results: In all age groups, the group with a high proportion of UPF consumption tended to have higher energy and macronutrient intake but lower micronutrient intake. The UPFs contributing significantly to energy intake were primarily alcohol and grain-based products.On the other hand, the energy contribution from UPFs based on legumes, milk, and dairy products tended to increase as the level of UPF consumption increased, and this trend was more significant with increasing age. Conclusion This study identified the differences in UPF consumption patterns across age groups and highlighted the importance of selective consumption based on the types of UPFs.

Purpose: Ultra-processed foods (UPFs) play a significant role in modern diets but are associated with various health risks, including obesity, cardiovascular disease, and diabetes.This study examined the consumption patterns of UPFs among middle-aged adults, older adults, and the oldest older adults in South Korea to identify the key food sources contributing to UPF intake using the Korean NOVA classification system. Methods: Data from the 2016–2019 Korea National Health and Nutrition Examination Survey were analyzed for 13,396 participants aged 40 years and older. Individuals with extreme energy intakes, serious diseases, or incomplete dietary records were excluded. The UPF intake levels were categorized into quartiles (Q1–Q4) based on the proportion of energy derived from UPFs, excluding individuals who did not consume UPFs. Results: In all age groups, the group with a high proportion of UPF consumption tended to have higher energy and macronutrient intake but lower micronutrient intake. The UPFs contributing significantly to energy intake were primarily alcohol and grain-based products.On the other hand, the energy contribution from UPFs based on legumes, milk, and dairy products tended to increase as the level of UPF consumption increased, and this trend was more significant with increasing age. Conclusion This study identified the differences in UPF consumption patterns across age groups and highlighted the importance of selective consumption based on the types of UPFs.

Purpose: This study examined the evaluation indicators and frameworks for assessing the effectiveness of the Center for Children’s and Social Welfare Foodservice Management. Methods: A qualitative research design was used, including focus group discussions and indepth interviews cond1ucted with 26 stakeholders, such as center staff, community nutrition experts, and performance evaluation specialists. The interviews were recorded with the participants’ consent, and the transcribed data were analyzed using framework analysis to identify key patterns. Results: The findings highlight several critical issues in the current evaluation framework, including over-reliance on satisfaction surveys, insufficient utilization of checklist data, and a lack of long-term outcome measures. The participants recommended improving satisfaction surveys by diversifying the respondents and refining methodologies. Systematic data management was also highlighted as essential, particularly for data collected by center nutritionists during site visits. These data are crucial for evaluating the effectiveness of overseeing and educating cooks and staff in children’s and social welfare facilities. For the long-term outcome indicators, the participants suggested integrating national health datasets to monitor the food consumption patterns, such as fruit and vegetable intake or sugar-sweetened beverage consumption among children, and tracking medical expenses or hospitalization rates for elderly daycare center users. Well-designed intervention studies were recommended to develop more robust evaluation indicators, particularly for assessing the impact of the centers on the health and quality of life of the elderly. Conclusion Therefore, comprehensive and standardized evaluation systems should be implemented to enhance operational efficiency and service quality. The proposed evaluation scheme can better evaluate and support the health and well-being of vulnerable populations, including children, the elderly, and individuals with disabilities, by aligning these systems with the centers’ mission of ensuring safe and nutritious food services.

Purpose: This study examined the evaluation indicators and frameworks for assessing the effectiveness of the Center for Children’s and Social Welfare Foodservice Management. Methods: A qualitative research design was used, including focus group discussions and indepth interviews cond1ucted with 26 stakeholders, such as center staff, community nutrition experts, and performance evaluation specialists. The interviews were recorded with the participants’ consent, and the transcribed data were analyzed using framework analysis to identify key patterns. Results: The findings highlight several critical issues in the current evaluation framework, including over-reliance on satisfaction surveys, insufficient utilization of checklist data, and a lack of long-term outcome measures. The participants recommended improving satisfaction surveys by diversifying the respondents and refining methodologies. Systematic data management was also highlighted as essential, particularly for data collected by center nutritionists during site visits. These data are crucial for evaluating the effectiveness of overseeing and educating cooks and staff in children’s and social welfare facilities. For the long-term outcome indicators, the participants suggested integrating national health datasets to monitor the food consumption patterns, such as fruit and vegetable intake or sugar-sweetened beverage consumption among children, and tracking medical expenses or hospitalization rates for elderly daycare center users. Well-designed intervention studies were recommended to develop more robust evaluation indicators, particularly for assessing the impact of the centers on the health and quality of life of the elderly. Conclusion Therefore, comprehensive and standardized evaluation systems should be implemented to enhance operational efficiency and service quality. The proposed evaluation scheme can better evaluate and support the health and well-being of vulnerable populations, including children, the elderly, and individuals with disabilities, by aligning these systems with the centers’ mission of ensuring safe and nutritious food services.

Purpose: This study examined the evaluation indicators and frameworks for assessing the effectiveness of the Center for Children’s and Social Welfare Foodservice Management. Methods: A qualitative research design was used, including focus group discussions and indepth interviews cond1ucted with 26 stakeholders, such as center staff, community nutrition experts, and performance evaluation specialists. The interviews were recorded with the participants’ consent, and the transcribed data were analyzed using framework analysis to identify key patterns. Results: The findings highlight several critical issues in the current evaluation framework, including over-reliance on satisfaction surveys, insufficient utilization of checklist data, and a lack of long-term outcome measures. The participants recommended improving satisfaction surveys by diversifying the respondents and refining methodologies. Systematic data management was also highlighted as essential, particularly for data collected by center nutritionists during site visits. These data are crucial for evaluating the effectiveness of overseeing and educating cooks and staff in children’s and social welfare facilities. For the long-term outcome indicators, the participants suggested integrating national health datasets to monitor the food consumption patterns, such as fruit and vegetable intake or sugar-sweetened beverage consumption among children, and tracking medical expenses or hospitalization rates for elderly daycare center users. Well-designed intervention studies were recommended to develop more robust evaluation indicators, particularly for assessing the impact of the centers on the health and quality of life of the elderly. Conclusion Therefore, comprehensive and standardized evaluation systems should be implemented to enhance operational efficiency and service quality. The proposed evaluation scheme can better evaluate and support the health and well-being of vulnerable populations, including children, the elderly, and individuals with disabilities, by aligning these systems with the centers’ mission of ensuring safe and nutritious food services.

OBJECTIVES: This study was conducted to establish profiles of socioeconomic characteristics, dietary intake, and health status among Korean older adults by employing 3 multivariate analysis techniques. METHODS: Data were obtained from 1,352 adults aged 65 years and older who participated in the 2019 Korea National Health and Nutrition Examination Survey. Principal component analysis (PCA), factor analysis (FA), and cluster analysis (CA) were utilized for profiling, with data preprocessing undertaken to facilitate these approaches. RESULTS: PCA, FA, and CA yielded similar results, reflecting the high common variance among the variables. PCA identified 4 components, accounting for 71.6% of the accumulated variance. FA revealed 5 factors, displaying a Kaiser-Meyer-Olkin value of 0.51 and explaining 74.3% of the total variance. Finally, CA grouped the participants into 4 clusters (R2=0.465). Both PCA and FA identified dietary intake (energy, protein, carbohydrate, etc.), social support from family (incorporating family structure, number of family numbers, and engagement in social eating), and health status (encompassing oral, physical, and subjective health) as key factors. CA classified Korean older adults into 4 distinct typologies, with significant differences observed in dietary intake, health status, and household income (p<0.01). CONCLUSIONS The study utilized PCA, FA, and CA to analyze profiling domains and derive characteristics of older adults in Korea, followed by a comparison of the results. The variables defining the clusters in CA were consistent with those identified by PCA and FA.

BACKGROUND/OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has affected the entire world population in many ways. This study aimed to analyze the patterns of changes in eating, food purchasing and preparation, physical activity, and subjective health after COVID-19 outbreak by various sociodemographic factors and to understand the factors associated with changes in subjective health. SUBJECTS/METHODS: A cross-sectional survey using a representative sample from Seoul was used for the analysis. The data collection was conducted from September to October 2020. A total of 3,833 citizens aged more than 18 years old participated in the Seoul Food Survey. Descriptive statistics and generalized ordinal logistic regression models were used to understand the changes in health behaviors, health indicators, and subjective general health by various socioeconomic status. RESULTS: It was shown that the changes in household income, food expenditure, food consumption and physical activities differed significantly by age, education, occupation, income, weight, and food security status. Low-income and food-insecure households were affected more severely by the pandemic. Older age, household food insecurity, income reduction, increased home cooking and frequency of having instant foods, decreased physical activity and weight gain were significant factors explaining worse perceived health during the COVID-19 pandemic. CONCLUSIONS The results suggest that focusing on older populations and low-income families with food insecurity should be prioritized during infectious disease outbreaks. In addition, the role of physical activities and instant food consumption in explaining perceived health should be investigated further in this prolonged battle with the pandemic situation.

OBJECTIVES: This study was conducted to examine the differences in food literacy between adults and older adults and the association of food literacy with food group intake. METHODS: In total, 4,039 participants from the 2021 Survey for Food Consumption in Seoul were included in this study. The intake of whole grains, high-protein foods, total vegetables, vegetables excluding kimchi and pickles, fresh fruits, and milk and dairy products was assessed using a simple food frequency questionnaire. Food literacy was measured using a food literacy measurement questionnaire. RESULTS: With the exception of milk and dairy, adults had a significantly higher proportion of insufficient food intake than older adults (p<0.001). Both adults and older adults with sufficient food group consumption had higher food literacy scores. Notably, the difference in food literacy scores by level of food intake was highest for fresh fruits (p<0.001). After adjusting for confounding factors affecting food literacy scores, a higher score was associated with a lower probability of having insufficient food intake in all food groups for both adults and older adults. Specifically, those in the highest food literacy score quartile were less likely to have insufficient intake of vegetables (odds ratio [OR], 0.35; 95% confidence interval [CI], 0.28 to 0.43) and fresh fruits (OR, 0.32; 95% CI, 0.24 to 0.43), compared to the lowest quartile. CONCLUSIONS Improving food literacy is an important factor for promoting healthy food intake in older adults as well as adults. Therefore, it is necessary to develop intervention programs to work toward this goal.

BACKGROUND/OBJECTIVES: Food literacy (FL) is a crucial skill for selecting sustainable and healthy food options, necessitating the identification of vulnerable groups in the community using valid measurement tools. Identifying weak domains in FL is essential for enhancing the overall FL. This study examined the FL levels of Seoul citizens based on their sociodemographic characteristics and assessed the relationship between FL, food intake, and weight status. SUBJECTS/METHODS: This study utilized the data from the Seoul Food Survey, a crosssectional study employing representative samples of Seoul citizens. Data collection occurred from September to October 2021, with 4,039 citizens aged 18 yrs and above participating in face-to-face surveys. Thirty-three FL items were assessed, comprising 14 items in the nutrition and safety (NS) domain, eight items in the cultural and relational (CR) domain, and 11 items in the socio-ecological (SE) domain. In addition, data on food intake sufficiency and obesity status were collected. The descriptive statistics, t-tests, analysis of variance, and logistic regression analysis were used for analysis. RESULTS: Men, students, young adults, older citizens, and people experiencing food insecurity had the lowest scores for all the FL domains. The highest quartile group of NS scores had a higher probability of consuming adequate servings of vegetables and fruits, with significant linear trends observed (P for trend < 0.05). In all three FL domains, the odds ratio for obesity was significantly lower in the groups with high FL scores (P < 0.05). CONCLUSIONS A close relationship was observed between low FL, obesity, and food intake, even after controlling for other covariates. Vulnerable groups with low FL were also identified. Therefore, it is essential to develop programs to improve FL and the health and well-being of these groups.