• Korean Journal of Community Nutrition
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• v.28 no.1
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• pp.38-47
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• 2023

Objectives: This study examined the association between the experience of disease management education and the use of nutrition labels according to the sociodemographic characteristics and health behaviors of people diagnosed with hypertension and diabetes living in the community. Methods: Among the participants from the Community Health Survey (2018), 74,283 individuals diagnosed with hypertension or diabetes were included in the study population. According to gender, this study evaluated nutrition label use by the experience of disease management education, individual sociodemographic characteristics, and health behavior. Finally, using multiple logistic regression analysis, the association between disease management education and nutrition labels was calculated using the odds ratio (OR) and 95% confidence interval (CI). Results: Males (24.5%) experienced more disease management education than females (22.6%). In addition, younger age, higher education level, and higher equalized personal income experienced more disease management education (P < 0.001). The educational experience rate was higher in the male subjects who did not smoke or were involved in high-risk alcohol consumption (P < 0.001). In addition, the rate of disease management education experience was significantly higher for both men and women who exercised by walking (P < 0.001). The use of nutrition labels was higher in females (9.9%) than males (5.8%), and both males and females were significantly higher in young age, high education, high income, and professional and office positions (P < 0.001). The utilization rate of nutrition labels was high in non-smoking male subjects and high-risk-drinking female subjects. In addition, the utilization rate of nutrition labels was significantly higher in males and females who exercised by walking and those who experienced disease management education (P < 0.001). After adjusting for individual sociodemographic characteristics, health behavior, and disease management education, the use of nutrition labels was high among females (OR 3.19, 95% CI 2.85-3.58), high income (Q4; OR 1.62, 95% CI 1.41-1.87, Q5; OR 1.58, 95% CI 1.37-1.84) and highly educated (high school; OR 2.87, 95% CI 2.62-3.14, above college; OR 5.60, 95% CI 5.02-6.23) while it was low in the elderly (OR 0.43, 95% CI 0.40-0.47), and economically inactive (OR 0.86, 95% CI 0.76-0.96). The use of nutrition labels was high in non-smokers (OR 1.29, 95% CI 1.13-1.48), nonhigh-risk drinkers (OR 1.22, 95% CI 1.08-1.38), and subjects who exercised walking (OR 1.44, 95% CI 1.34-1.54). There was no difference in the utilization rate of nutrition labels according to obesity, and the utilization rate of nutrition labels was significantly higher in subjects who had experienced disease education (OR 1.34, 95% CI 1.24-1.44). Conclusions: Education on the use of nutrition labels, which contributes to food selection for healthy eating, might be a tool for dietary management. Moreover, the utilization rate can be a good indicator for predicting the proportion of the population practicing the guide for disease management. Improving the utilization rate of nutrition labels through disease management education can be a useful intervention for people with chronic diseases who need healthy eating habits for disease management and preventing complications, particularly those diagnosed with hypertension and diabetes.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.2
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• pp.1-14
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• 2024

The most optimal route-search algorithm thus far has introduced a method of applying node labels and link labels. Node labels consider two nodes simultaneously in the optimal route-search process, while link labels consider two links simultaneously. This study proposes a turn-label-based optimal route-search technique that considers two turns simultaneously in the process. Turn-label-based optimal route search guarantees the optimal solution of dynamic programming based on Bellman's principle as it considers a two-turn search process. Turn-label-based optimal route search can accommodate the advantages of applying link labels because the concept of approaching the limit of link labels is applied equally. Therefore, it is possible to reflect rational cyclic traffic where nodes allow multiple visits without expanding the network, while links do not allow visits. In particular, it reflects the additional cost structure that appears in two consecutive turns, making it possible to express the structure of the travel-cost function more flexibly. A case study was conducted on the metropolitan urban railway network consisting of transportation card terminal readers, aiming to examine the scalability of the research by introducing parameters that reflect psychological resistance in travel with continuous pedestrian transfers into turn label optimal path search. Simulation results showed that it is possible to avoid conservative transfers even if the travel time and distance increase as the psychological resistance value for continuous turns increases, confirming the need to reflect the cost structure of turn labels. Nevertheless, further research is needed to secure diversity in the travel-cost functions of road and public-transportation networks.

• Research in Community and Public Health Nursing
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• v.27 no.3
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• pp.262-271
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• 2016

Purpose: Using food labels has been related to healthy eating habits and positive health outcomes. The purpose of this study is to describe the prevalence of food labels utilization and the association between food label use and obesity related factors. Methods: We conducted a self-reported population-based survey including health behaviors, 24-hour recalls, measurements of body mass indices with 6,266 Koreans aged 10 or older. ${\chi}^2$-test and ANOVA examined differences in demographic factors, health behavioral factors, and nutrition factors in tandem with food label use categories. Multivariates logistic regression was used to estimate association between food label use and obesity factors. Results: The percentages of food label users and non-users who perceive food labels were 21.8% and 48.5% respectively. In the multivariate logistic regression, food label use had significant positive associations with women, age, income, education attainment, and subjective obesity. After adjusting for socioeconomic factors and dietetic treatments, the positive associations between food label use and subjective obesity, weight control, and subjective obesity with objective normal weight remained. Conclusion: In order to improve eating habits and weight management, the obesity population that does not use food labels needs to receive proper nutrition education including food choice and body image correction.

• Korean Journal of Health Education and Promotion
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• v.29 no.5
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• pp.1-12
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• 2012

Objectives: Dietary modifications are common treatment strategies for adults with metabolic syndrome, but it is unclear how often these individuals read food labels. The objective of this study was to examine if adults with metabolic syndrome read food labels when buying packaged foods and to determine factors related to label use. Methods: From the database of the Fifth Korean National Health and Nutrition Examination Survey(KNHANES-V), 1,335 adults with metabolic syndrome and 3,696 those without were selected. Data were analyzed using frequency distributions, $X^2$ test and multiple logistic regression with the SPSS win 18.0 program. Results: Adults with metabolic syndrome read food labels less than individuals without it when they purchase packaged foods(12.5% vs 29.0%). Among those without metabolic syndrome, food label use was significantly higher among participants who were women, younger, educated, and trying to control weight. Conclusions: Strategies to use food label as a diet management tool for metabolic syndrome are needed.

• Journal of the Korean Society of Food Culture
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• v.17 no.3
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• pp.299-308
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• 2002

The purposes of this study were to examine understanding, attitudes, and behaviors of college students regarding the nutrition labels of food package and the relations among these factors and demographic background such as educational experience with label, major, home place and parents' status. The study was surveyed 471 undergraduate students enrolled in general education classes at local university. Generally, college students could understand nutrition label. Nutrition related class in college didn't influence Nutrition label understanding, use and purchasing behavior. Students whose mothers with higher than college education level and professional work showed strong dependability on nutrition label. Label use, understanding and purchasing behaviors significantly associated with gender of subjects. All the subjects looked at the amount of sodium most frequently among all the nutrients listed on the food package(88.8%). Of all the food labels, the manufacturing date(25.1%) was considered the most important and the refund and exchange(12.9%) was considered the least important information. This paper suggested that nutrition education program for college students needs to be developed in series from elementary school curriculum and to enhance the use of nutrition labels.

• Smart Media Journal
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• v.10 no.1
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• pp.79-87
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• 2021

In recent years research on automatic font generation with machine learning mainly focus on using transformation-based methods, in comparison, generative model-based methods of font generation have received less attention. Transformation-based methods learn a mapping of the transformations from an existing input to a target. This makes them ambiguous because in some cases a single input reference may correspond to multiple possible outputs. In this work, we focus on font generation using the generative model-based methods which learn the buildup of the characters from noise-to-image. We propose a novel way to train a conditional generative deep neural model so that we can achieve font style control on the generated font images. Our research demonstrates how to generate new font images conditioned on both character class labels and character style labels when using the generative model-based methods. We achieve this by introducing a modified generator network which is given inputs noise, character class, and style, which help us to calculate losses separately for the character class labels and character style labels. We show that adding the character style vector on top of the character class vector separately gives the model rich information about the font and enables us to explicitly specify not only the character class but also the character style that we want the model to generate.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.182-190
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• 2021

Deep learning is an advanced technology for large-scale data analysis, with numerous promising cases like image processing, object detection and significantly more. It becomes customarily to use transfer learning and fine-tune a pre-trained CNN model for most image recognition tasks. Having people taking photos and tag themselves provides a valuable resource of in-data. However, these tags and labels might be noisy as people who annotate these images might not be experts. This paper aims to explore the impact of noisy labels on fine-tuning pre-trained CNN models. Such effect is measured on a food recognition task using Food101 as a benchmark. Four pre-trained CNN models are included in this study: InceptionV3, VGG19, MobileNetV2 and DenseNet121. Symmetric label noise will be added with different ratios. In all cases, models based on DenseNet121 outperformed the other models. When noisy labels were introduced to the data, the performance of all models degraded almost linearly with the amount of added noise.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.243-248
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• 2017

This study set the standard for label standardization of foreign sports apparel. Based on the theory of labels, the labels were scanned around the internal T-shirt of sports apparel brands. Based on the plan, 32 young men and women surveyed 32 tentative labels. As a result, The survey revealed that the respondents preferred the information of size, fit, washing symbol mark, and function. Based on these results, the complementary labels were designed for balance, simplicity, coherency, cognitive, and harmonization. The study interviewed 12 men and women in their 20s and 30s. As a result, the subjects indicated that they selected cognitive preference for labels because of the maximum, minimum spacing, and emphasis on information representative.

• Journal of the Korean Society for information Management
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• v.23 no.2
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• pp.39-59
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• 2006

In this study we proposed a new informational structure and category labels to fully support the functions of school websites as an access tool to its contents. The proposed model was divided into three main aspects. First, main menu structure was the primary guideline to access information embedded in a website. Therefore, The proposed main menu structure consisted of 9 categories that are commonly provided by 17 existing school websites. Second, first-level categories consisted of total 35 categories under 9 main menu categories. Each category was placed under certain categories in main menu based on the relationships with the meaning of the upper level categories. Third, the proposed model adopted general and comprehensive terms as category labels. The terms used as category labels were based on the analysis of existing category labels, and the most frequently used terms were selected from the current school websites.

• Journal of the Korean Dietetic Association
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• v.13 no.2
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• pp.123-137
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• 2007

The purpose of this study was to investigate the current nutritional labeling practices in the processed foods industry. Package labels provide consumers with reliable nutritional information, which has been considered a useful aid for food selection and a potent educational tool for nutrition in a daily life. To assess the nutritional composition labeling and nutritional claims on the food package labels in the Korean market, 2,691 processed foods were purchased from a wholesale market in August, 2004, under the food categories specified in the 2004 Food Code. Nutritional composition labels were found on 674 out of the 2,691 processed foods items. The study findings were as follows. Milk and dairy products showed the highest percentage(56.6%) of nutritional composition labeling among the food categories, while 86.2% of processed foods carried inappropriate types of nutrition labels. The title of nutritional composition labeling was ordered according to the nutritional composition presented on the top part of the box. The regulations method which it indicates was 77.8%. The expression unit of the nutritional composition labeling was per 100g(32.8%) or per OOg (29.4%). Of total processed foods, 83(3.1%) offered nutritional claims in their labels. These claims were divided into two ways: nutrient content claims and nutrient comparative claims. The most frequently used term in nutrient content claims was "contained"(67.2%). "More" or "Plus" were frequently used term in nutrient comparative claims(11.2%). Calcium was the most popular among nutrients claimed by processed foods(34.3%).