• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.496-498
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• 2022

With the prolonged spread of the new coronavirus infection worldwide and the entry of the super-aged society, smart health care, which combines IT technology for senior health care and the health care industry, is emerging as a solution to the aging problem. The development of non-face-to-face care services using Ai is on a global trend, not in some countries, and the form of care services for the elderly using AI artificial intelligence technology is changing rapidly. The convenience of AI-based care services for the elderly is expected to be highlighted, and the technology and market are expected to develop significantly. As the number of single-person households is increasing, the shortage of welfare workers for the elderly is emerging as a social issue. It is presented as a vision to solve long-term social problems such as the labor shortage of elderly care workers as well as the advantages of convenient care services using IT technology. Therefore, we would like to propose the development direction of care services for the elderly as a case study of care services for the elderly and a countermeasure against the super-aging age.

• Journal of the Korean Dietetic Association
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• v.30 no.2
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• pp.112-124
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• 2024

This study investigated the factors associated with HINT-8 (Korean health-related quality of life instrument with eight items), including health habits, hand grip strength, chronic disease, chewing function, mental health, and nutrient intake. In this study, the health-related quality of life (HRQoL; HINT-8) was assessed using the data from the 2019 Korea National Health and Nutrition Examination Survey (KNHANES VIII) among Koreans aged over 65, with HINT-8 being evaluated based on the general characteristics. Of the participants from KNHANES VIII, 1,455 subjects were analyzed using SPSS statistics complex samples (Windows ver. 27.0). The HINT-8 score was significantly lower in females and in those aged 75 years or older, lowest educational level, lowest income level, and single households. Logistic regression analysis, adjusted for the general characteristics, revealed a significant association between a lower HINT-8 group and various factors: low aerobic physical activity (OR=1.71, 95% CI=1.25~2.35), low hand grip strength (OR=1.34, 95% CI=1.02~1.78), chewing difficulties (OR=2.17, 95% CI=1.62~2.92), poor self-rated health status (OR=6.11, 95% CI=4.42~8.45), stressful mental status (OR=3.57, 95% CI=2.27~5.63) and poor calcium status (OR=1.45, 95% CI=1.11~1.88). On the other hand, this study could not reveal a significant association between a lower HINT-8 group and factors such as smoking, drinking, chronic disease, and nutrient intake status, except for calcium intake. This study suggests that HINT-8 is associated with aerobic physical activity, hand grip strength, chewing function, mental health, and calcium intake, but not with smoking, drinking, chronic disease, and nutrient intake.

• Korean Journal of Community Nutrition
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• v.29 no.1
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• pp.51-64
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• 2024

Objectives: This study examined the association between ultra-processed food (UPF) consumption and chronic diseases in elderly Koreans. Methods: Data from the 2019-2021 Korea National Health and Nutrition Examination Survey were analyzed. Dietary intake and UPF consumption were assessed using the NOVA food classification based on 24-hour recall data from 3,790 participants (aged 65+ years). Participants were divided into 4 groups based on the quartile of energy intake from UPFs. Regions were classified as urban or rural. Multivariable logistic regression was employed to estimate the adjusted odds ratios (AORs) with 95% confidence intervals (CIs) after controlling for potential confounders. Results: Among the participants, 71.3% resided in urban and 28.7% in rural areas. Compared to the urban elderly, rural participants tended to be older, have lower education and income levels, be more likely to live in single-person households, and have a higher smoking rate (P < 0.05). Urban elderly consumed more UPFs daily (146.1 g) compared to rural residents (126.6 g; P < 0.05). "Sugar-sweetened beverages" were the most consumed category in both regions. "Sweetened milk and its products" and "traditional sauces" were prominent in urban areas, while rural elderly consumed more "traditional sauces" and "distilled alcoholic beverages." Rural areas also had a higher carbohydrate-to-calorie ratio than urban areas. Compared to the lowest quartile of UPF intake, the highest quartile was significantly associated with impaired fasting glucose only in rural areas (AOR, 1.48; 95% CI, 1.00-2.19; P for trend = 0.0014). No significant associations were observed for diabetes in either urban or rural areas. Conclusions: This study suggests that high intake of UPFs is associated with increased odds of impaired fasting glucose in rural elderly. Further research is needed to elucidate the specific negative health effects of UPFs in different populations, and targeted efforts should promote healthy diets in both urban and rural areas.

• Journal of Korean Society of Water and Wastewater
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• v.37 no.6
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• pp.363-373
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• 2023

Numerous studies have established a correlation between sociodemographic characteristics and water usage, identifying population as a primary independent variable in mid- to long-term demand forecasting. Recent dramatic sociodemographic changes, including urban concentration-rural depopulation, low birth rates-aging population, and the rise in single-person households, are expected to impact water demand and supply patterns. This underscores the necessity for operational and managerial changes in existing water supply systems. While sociodemographic characteristics are regularly surveyed, the conducted surveys use aggregate units that do not align with the actual system. Consequently, many water demand forecasts have been conducted at the administrative district level without adequately considering the water supply system. This study presents an upward water demand forecasting model that accurately reflects real water facilities and consumers. The model comprises three key steps. Firstly, Statistics Korea's SGIS (Statistical Geological Information System) data was reorganized at the DMA level. Secondly, DMAs were classified using the SOM (Self-Organizing Map) algorithm to consider differences in water facilities and consumer characteristics. Lastly, water demand forecasting employed the PCR (Principal Component Regression) method to address multicollinearity and overfitting issues. The performance evaluation of this model was conducted for DMAs classified as rural areas due to the insufficient number of DMAs. The estimation results indicate that the correlation coefficients exceeded 0.9, and the MAPE remained within approximately 10% for the test dataset. This method is expected to be useful for reorganization plans, such as the expansion and contraction of existing facilities.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.369-378
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• 2024

The aim of this study is to conduct a comparative study on the sustainability of the public pension. While the mainstream view on the sustainability of the public pension presupposes financial sustainability, the original purpose of guaranteeing retirement income has been overlooked. The sustainability of the public pension needs to consider not only financial sustainability, but also various factors such as demographic structure, labor productivity, industrial structure, life cycle of working households, government spending on public pensions, economic growth, and social consensus. With this awareness of the problem, this study conducted a fuzzy set qualitative comparative study in 44 countries, including Korea. As a result of the analysis, it was found that Korea had high financial sustainability for a single year, but relatively low integration related to social consultation and public pension operation, and adequacy such as the degree of guarantee and linkage with other pension systems was also relatively low. The sustainability of the broader public pension should be emphasized not only for financial sustainability, but also for adequacy and integration.

• Journal of the Korean Dietetic Association
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• v.30 no.3
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• pp.161-180
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• 2024

Social and environmental changes, such as the rise of single-person households and advances in the food industry, have led to the replacement of home-cooked meals with home meal replacements products (HMRs). This study compared the nutrient content of a total of 1,680 HMRs and 158 restaurant foods by collecting data on the nutrient content of comparable food types from the Food composition data for restaurant foods published by the Ministry of Food and Drug Safety (MFDS) and evaluating the calorie and nutrient content of HMRs based on nutrition labeling through market research from May 2022 to May 2024, focusing on rice, porridge, noodles, soup/stew. The nutritional content and price of the HMRs varied widely, even for similar foods, depending on the detailed food type. Therefore, it is necessary to make an appropriate choice based on nutrition labeling according to the purpose of consumption. The HMRs had a lower calorie and nutrient content due to the smaller serving size when compared with restaurant foods. However, when the same weights were compared, the sugar and sodium content in the rice and soup/stew were higher in the HMRs than in the restaurant foods. In addition, due to the wide variety of HMRs available, many HMRs that can replace restaurant foods are being produced. However, even for the same type of food, the serving sizes of the HMRs and the restaurant foods were widely different, suggesting the need for a study to examine the appropriateness of the serving sizes of HMRs and restaurant foods.

• Journal of Animal Reproduction and Biotechnology
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• v.39 no.2
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• pp.138-144
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• 2024

Background: As the number of households raising companion dogs increases, the pet genetic analysis market also continues to grow. However, most studies have focused on specific purposes or native breeds. This study aimed to collect genomic data through single nucleotide polymorphism (SNP) chip analysis of companion dogs in South Korea and perform genetic diversity analysis and SNP annotation. Methods: We collected samples from 95 dogs belonging to 26 breeds, including mixed breeds, in South Korea. The SNP genotypes were obtained for each sample using an Axiom^TM Canine HD Array. Quality control (QC) was performed to enhance the accuracy of the analysis. A genetic diversity analysis was performed for each SNP. Results: QC initially selected SNPs, and after excluding non-diverse ones, 621,672 SNPs were identified. Genetic diversity analysis revealed minor allele frequencies, polymorphism information content, expected heterozygosity, and observed heterozygosity values of 0.220, 0.244, 0.301, and 0.261, respectively. The SNP annotation indicated that most variations had an uncertain or minimal impact on gene function. However, approximately 16,000 non-synonymous SNPs (nsSNPs) have been found to significantly alter gene function or affect exons by changing translated amino acids. Conclusions: This study obtained data on SNP genetic diversity and functional SNPs in companion dogs raised in South Korea. The results suggest that establishing an SNP set for individual identification could enable a gene-based registration system. Furthermore, identifying and researching nsSNPs related to behavior and diseases could improve dog care and prevent abandonment.

• Land and Housing Review
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• v.12 no.2
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• pp.47-59
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• 2021

This study aims to review the trends of the population outflows in the metropolitan area of Busan and to investigate the factors that affect population out-migration to the Seoul metropolitan area. The following variables are considered for analysis: traditional population movement variables and quality of life variables, such as population, society, employment, housing, culture, safety, medical care, greenery, education, and childcare. The 'domestic population movement data', provided by the MDIS of the National Statistical Office, was used for this research. Out of the total of 57 million population movement data in the period 2012 - 2017, population outmigration from Busan to the Seoul metropolitan area was extracted. Independent variables were drawn from public data sources in accordance with the temporal and spatial settings of the study. The multiple linear regression model was specified based on the dataset, and the fit of the model was measured by the p-value, and the values of Adjusted R2, Durbin-Watson analysis, and F-statistics. The results of the analysis showed that the variables that have a significant effect on population movement from Busan to the Seoul metropolitan area were as follows: 'single-person households', 'the elderly population', 'the total birth rate', 'the number of companies', 'the number of employees', 'the housing sales price index', 'cultural facilities', and 'the number of students per teacher'. More positive (+) influences of the population out-movement were observed in areas with higher numbers of single-person households, lowers proportions of the elderly, lower numbers of businesses, higher numbers of employees, higher numbers of housing sales, lower numbers of cultural facilities, and lower numbers of students. The findings suggest that policies should enhance the environments such as quality jobs, culture, and welfare that can retain young people within Busan. Improvements in the quality of life and job creation are critical factors that can mitigate the outflows of the Busan residents to the Seoul metropolitan area.

• Journal of Nutrition and Health
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• v.55 no.5
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• pp.587-600
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• 2022

Purpose: This study was performed to analyze customer needs for the operation of unmanned food stores on a university campus. Methods: A total of 329 responses were collected from customers who had purchased food at the stores. Statistical analyses were conducted using the SPSS program for frequency analysis, χ2-test, t-test, one-way analysis of variance, and Duncan's multiple range test. Results: On average, the overall satisfaction score for lunch and the eating location was 3.91 out of 5 points. Overall satisfaction was significantly higher for home cooking, and lower for eating at convenience stores (p < 0.001), and the score for eating with family was significantly higher than for eating alone or with friends (p < 0.001). On average, the intention to use an unmanned store received a score of 3.98 out of 5 points, while 'home cooking (3.76)' was significantly lower than other eating locations and eating at 'convenience stores (4.38)' was significantly higher than other eating locations (p < 0.05). The desired time of use for unmanned food stores was 'lunch (54.1%)', 'dinner (46.2%)', and 'afternoon snack (41.9%)', and the desired foods were 'doshirak (62.0%)', 'sandwich (56.2%)', 'fruit cup (54.4%)', 'salad (51.7%)', and 'kimbap (50.5%)'. There were significantly more opinions that single-person households would use unmanned food stores for dinner more than family households (p < 0.05), and significantly more willingness to purchase fruit cup (p < 0.05). The average prices (Korean won) that the subjects were willing to pay for the purchase of food were 4,991 for doshirak, 3,403 for salad, 2,745 for fruit cup, 2,609 for sandwich, and 2,235 for kimbap. Conclusion: For the successful operation of the unmanned food stores on the university campus, the store manager should grasp the customer's needs in real-time and establish an effective marketing strategy.

• Journal of Nutrition and Health
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• v.56 no.3
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• pp.315-329
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• 2023

Purpose: This study examined the meal-kit consumption practices of adults in their 20s and 30s and analyzed the properties that should be given priority for improvement among the selection attributes to improve the quality of meal-kits. Methods: Statistical analyses were conducted using the SPSS program (ver. 28.0) for χ²-test, t-test, one-way analysis of variance, Duncan's multiple range test, factor analysis, and Importance-Satisfaction Analysis (ISA). Results: Of the 249 subjects surveyed, 85.5% had some experience of purchasing meal-kits, with significantly more females than males (p < 0.01), significantly more married people than single people (p < 0.05), significantly more employed people than unemployed people (p < 0.05). Meal-kits were purchased most frequently for meals (60.6%), from discount stores or supermarkets (44.6%), and priced between 10,000 won and 20,000 won per person (46.9%). The overall satisfaction with meal-kits was 4.1 out of 5.0 points. The frequency of purchases was Korean soup dishes (69.5%), Korean main dishes (47.4%), and Korean street snacks (46.9%). Factor analysis of the meal-kit selection attributes revealed, 4 factors: 'quality of food,' 'packaging and diversity,' 'quality of meal-kit,' and 'convenience and price.' Compared to single-person households, multi-person households placed significantly higher importance on the 'quality of food,' 'packaging and diversity,' and 'quality of meal-kit.' The factor, 'packaging and diversity' were significantly higher in the importance evaluation scores for females (p < 0.01), married people (p < 0.05), and people in their 30s (p < 0.05) among meal-kit consumers. According to the ISA results, a critical aspect that meal-kit manufacturers or sellers should strengthen is 'price.' Conclusion: Meal-kit products will need to be developed for various purposes that offer high value for money that can satisfy the consumers' needs to improve the satisfaction of meal-kit consumers.