• The Korean Journal of Community Living Science
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• v.17 no.1
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• pp.141-154
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• 2006

The purpose of this study is to provide the information of the aged olds for which basic data are almost no available. The subjects were divided on the base of age 75. The elderly under 75 were named 'the young olds' and over 75 were 'the aged olds'. The aim of this research is to promote health and to improve nutrition, and the survey was made for health promotion behaviors, habits against health risk, dietary management status and diet intake. And it was conducted by 24 hr-recall method and analyzed by nutrients intake. 242 subjects were collected in 12 cities or counties in Gyeonggi Province and 20 elderly people (10 male and 10 female) were selected out of 1 village in each district. Questionnaire about health behavior and dietary management was carried out by interview method through regional home extension workers. Statistical analyses were made by SAS (version 8.1) and Chi-square tests and General Linear Models were used. Out of the subjects the aged olds over 75 was 31.9%, elementary school educated (93.5%), with spouse (40.3%), with adult children(28.6%), monthly living cost of 500-1,000 thousand won(40.3%). Mean age was 78.82 years compared with 69.75 years of the young olds. 46.8% of the aged olds used monthly pocket money over 1000 won and it was lower than 63.3% of the young olds. Only half of the aged olds had regular exercise of walking (77.8%) or with athletic equipment (17.8%). However, the young olds did more frequent walking (82.1 %) and less exercise with athletic equipment (4.8 %), which was significantly different. Kinds of disease were different with the young or the aged olds, as more proportion of cardiovascular disease(37.9%) for the young olds and joint lumbago neuralgia(41.6%) for the aged olds. Dietary management was good (3 meals per day: 93.4%, fixed mealtime: 72.4%, and regular amount: 79.9%). But there was significant difference in side dish varieties and kinds of snacks; for the aged olds only 8% had over 5 sorts (compared with 18.8% of the young olds) and the kinds of snacks were cookie, candy, juice, carbonated beverage for the aged olds (compared with noodle, milk, soybean-milk for young olds). The ratio of nutrients intake (energy, riboflavin and niacin) with RDA was significantly higher for the aged olds than that of the young olds. The surveyed subjects had no difficulties in Activities of Daily Living (ADL), but some of the aged olds had difficulties in Instrumental Activities of Daily Living (IADL) like housekeeping, using transportation, going shopping and making phone calls. These results suggest that low quality of life is linked with low economic status of the rural elderly and congregate meal at village hall would be required because of the lack of side dishes variety for the aged olds. And nutrition education program about good snacks and exercise practice would be needed for the aged olds. By operating nutrition education program the aged olds would enjoy better quality life maintaining or ameliorating IADL abilities.

• Korean Journal of Community Nutrition
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• v.13 no.1
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• pp.34-45
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• 2008

For the correct dietary habit and balanced dietary intake of aged people, the nutrition management that fits to the dietary behavior change stage has to be accomplished. In order to do so, in this paper, we chose 175 women that are aged more than 65 years old who are rural long life community residents and surveyed the dietary intake for 2 days including a twice depth interview and the 24 hour recall method. Also, for the sake of our aim, using the transtheoretical model, the dietary behavior change stage group was divided into the contemplation stage group, the preparation stage group, the action stage group and the maintenance stage group. The results are as follows: In the intake amount of protein (p < 0.01), vitamin $B_1$ (p < 0.05) and vitamin $B_6$ (p < 0.05), the intake amount of these nutrients in the action stage group and the maintenance stage group were significantly larger than the intake amount in the contemplation stage group and the preparation stage group. The nutrition evaluation according to the dietary behavior change stage, the ratio of subjects who took insufficient amount of energy, protein, vitamin A, and vitamin C were low as the dietary behavior change stage was upgraded. The subjects of maintenance stage group were most likely to consume vegetables more than once a day, and consume fruits and milk and milk products more than 5 times/week. MAR [13], MAR [10] and MAR [4] of subjects in the action stage group and the maintenance stage group were significantly higher than MAR [13], MAR [10] and MAR [4] of subjects in the contemplation stage group and the preparation stage group (p < 0.001). From the above results, there were differences of nutrient intakes according to the dietary behavior change stage. Therefore, it is considered that the intervention for the dietary behavior motivation induction has to be advanced before accomplishing the individually fitting intervention at the time of nutrient management intervention.

• Journal of Nutrition and Health
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• v.41 no.8
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• pp.718-732
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• 2008

The purpose of this study was to investigate nutrients or food factors related to cognitive function of elderly having Alzheimer's disease. In this study 38 subjects who were over 65 years old have participated in dementia clinic at A medical center. After they were diagnosed to Alzheimer's Disease (AD) through blood analysis, neuropsychological test, brain image and interview by medical specialist, we examined for their general information, anthropometry, blood pressure and dietary intakes. Dietary intakes were investigated using the 24-hour recall record. Energy intake was adequate and the energy composition of carbohydrate, protein and fat was 60.8 : 16.2 : 23.0, but dietary intakes of calcium, vitamin A and folate were less than 75% of the recommended intake levels for Koreans. The multiple regression analysis adjusted with age, sex and educational level showed that cognitive function was positively related to intakes of zinc, fishes and shellfishes, beans & nuts, sugars and fats, and negatively related to intakes of plant calcium and eggs. These results indicate that intakes of specific nutrients or food groups are associated with the specific domains of cognitive function in elderly with AD.

• Korean Journal of Community Nutrition
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• v.23 no.2
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• pp.116-127
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• 2018

Objectives: The purpose of this study was to examine the coverage of the current mandatory nutrition labeling system on the nutrient intake of Koreans. Methods: KNHANES dietary intake data (2013) of 7,242 subjects were used in the analysis. KNHANES dietary intake data were collected by a 24-hour recall method by trained dietitians. For analysis, all food items consumed by the subjects were classified into two groups (foods with mandatory labeling and other foods). In the next step, all food items were reclassified into four groups according to the food type and nutrition labeling regulations: raw material food, processed food of raw material characteristics, processed foods without mandatory labeling, and processed foods with mandatory labeling. The intake of energy and five nutrients (carbohydrate, protein, fat, saturated fat, and sodium) of subjects from each food group were analyzed to determine the coverage of the mandatory nutrition labeling system among the total nutrient intake of Koreans. Results: The average intake of foods with mandatory labeling were 384g/day, which was approximately one quarter of the total daily food intake (1,544 g/day). The proportion of energy and five nutrients intake from foods with mandatory labeling was 18.1%~47.4%. The average food intake from the 4 food groups were 745 g/day (48.3%) for the raw food materials, 54 g/day (3.5%) for the processed food of raw material characteristics, 391 g/day (25.3%) for the processed foods without mandatory labeling, and 354 g/day (22.9%) for the processed foods with mandatory labeling. Conclusions: Although nutrition labeling is a useful tool for providing nutritional information to consumers, the coverage of current mandatory nutrition labeling system on daily nutrient intake of the Korean population is not high. To encourage informed choices and improve healthy eating habits of the Korean population, the nutrition labeling system should be expanded to include more food items and foodservice menus.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.40-51
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• 2012

Recently, many users discuss and argue with others using replying comments. This implies that a series of comments can be a new source of information since various opinions can be appeared in the dispute. It is important to understand the implicit dispute structure immanent in the comment set. In this paper, we examine the characteristics of disputes using replying comments in the Internet forum sites using a set of test articles with the comments collected from SketicalLeft and Agora, which are famous Internet forum sites in Korea. And we propose a new method for detecting and visualizing the dispute sections and relations from a large set of replying comments. To show the performance of our method, we measured precision, recall, and F-measure. According to the experimental results, the F-measures of the detection of the comments in dispute are about 0.84 (SketpcialLeft) and 0.83 (Agora); those of the detection of the commenter pairs in dispute are 0.75 (SketpcialLeft) and 0.82 (Agora), respectively. Since our method exploits the temporal order of commenters to detect the disputes, it is not dependent on the host language nor on the typos in comments. Also, our method can help the readers to grasp the structure of controversy hidden in the comment set through the visualized view.

• Journal of KIISE:Software and Applications
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• v.33 no.8
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• pp.718-729
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• 2006

There has been increasing interest in automatic term recognition (ATR), which recognizes technical terms for given domain specific texts. ATR is composed of 'term extraction', which extracts candidates of technical terms and 'term selection' which decides whether terms in a term list derived from 'term extraction' are technical terms or not. 'term selection' is a process to rank a term list depending on features of technical term and to find the boundary between technical term and general term. The previous works just use statistical features of terms for 'term selection'. However, there are limitations on effectively selecting technical terms among a term list using the statistical feature. The objective of this paper is to find effective features for 'term selection' by considering various aspects of technical terms. In order to solve the ranking problem, we derive various features of technical terms and combine the features using machine-learning algorithms. For solving the boundary finding problem, we define it as a binary classification problem which classifies a term in a term list into technical term and general term. Experiments show that our method records 78-86% precision and 87%-90% recall in boundary finding, and 89%-92% 11-point precision in ranking. Moreover, our method shows higher performance than the previous work's about 26% in maximum.

• Journal of Community Nutrition
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• v.1 no.2
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• pp.108-118
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• 1999

This study was designed to examined psychosocial status and nutritional factors(nutrition knowledge, dietary attitudes, eating behavior, dietary intakes) among female university students and to investigate if there were differences in these variables by weight loss attempt. A cross-sectional survey was conducted to 225 female university students in Seoul. Survey instrument was adapted or modified based on literature review, and dietary intakes were assessed using 24-hour recall and CAN-pro. Descriptive statistics, t-test x$^2$-test were used in data analysis. Mean height, weight of subjects were 162.7cm, 51.3kg, and mean BMI was 19.4. One hundred-nine students(48.4%) were grouped into weight loss attempt roup and 116 students were grouped int non-attempt group. According to BMI, 58.7% of weight loss attempt group were underweight, suggesting that unnecessary weight control is common in college women. With respect to psychosocial status, subjects received moderate degree of stress and were slightly satisfied with life. There was no significant difference in stress, social support or self-esteem between the two groups, however, students in non-attempt group were more satisfied with their life(p<0.01) and adapted better in school that students in weight loss attempt group. Subjects scored 14.9${\pm}$2.1 (highest score : 20) on nutritional knowledge, and showed favorable dietary attitudes. Overall, nutritional knowledge and dietary attitudes were not significantly different between the two groups. Common eating problems were irregular meals(71.6%), followed by unbalanced meals and eating-out. Subjects in weight loss attempt group were more likely to change eating habit after entering the university and showed more undesirable eating habit. Dietary intake data indicated hat the energy derived from fat was slightly higher than the recommended level. Most of the nutrient intake was lower than the RDA, particularly, iron and calcium intake was below the 50% of the RDA. Although this study did not reveal significant difference in nutritional knowledge or dietary intake by weight loss attempt, this study showed status of weight control, eating habit and dietary intake in female university students, and provide some information for nutrition education of college women.

• Journal of Nutrition and Health
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• v.46 no.2
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• pp.166-176
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• 2013

The purpose of this study was to investigate consumption of health functional food (HFF) and dietary habits, nutrient intake, and dietary quality by HFF consumption in college students. The subjects of this study included 283 college students (179 males and 104 females) in Incheon metropolitan city. The cross-sectional study was conducted using self-reported questionnaires, including kinds of HFF consumed, motivation for purchase, reason for consumption, effect after consumption, reason for no consumption, and dietary habits. A three-day recall method was used for dietary assessment. Dietary qualities were assessed using nutrient adequacy ratio (NAR), mean adequacy ratio (MAR), and nutrient density (ND) values. The percentage of HFF consumption was 40.2% in males and 50.0% in females. The main kinds of HFF consumed by males were vitamins and minerals, red ginseng, protein, and omega-3 fatty acid, in that order. HFF consumed by females were vitamins and minerals, red ginseng, omega-3 fatty acid, and individually approved functional ingredients, in that order. The main motivation for purchase of HFF was recommendation of family and relatives (males 76.4% and females 78.8%). The main reason for consumption of HFF was health promotion (males 67.7% and females 63.5%) and the main reason for no consumption of HFF was not having a health problem (males 49.5% and females 46.2%). The dietary habit score for 'eat the milk or dairy product everyday' (p < 0.05) in females was significantly higher in HFF consumers, compared to HFF non-consumers. In males, the ND of vitamin B1 (p < 0.05) in HFF consumers was significantly higher compared to HFF non-consumers. In females, HFF consumers showed a significantly higher ND of vitamin B2 (p < 0.05) and Ca (p < 0.01), compared to HFF non-consumers. Regardless of HFF consumption, the NAR of vitamin C, folic acid, and Ca was less than 0.7. These results suggest the need for nutrition education for college students in order to improve dietary habits and for balanced nutritional status, and to provide correct information on HFF.

• The KIPS Transactions:PartB
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• v.17B no.3
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• pp.255-262
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• 2010

When a system is developed, requirements document is generated by requirement analysts and then translated to formal specifications by specifiers. If a formal specification can be generated automatically from a natural language requirements document, system development cost and system fault from experts' misunderstanding will be decreased. A pronoun can be classified in personal and demonstrative pronoun. In the characteristics of requirements document, the personal pronouns are almost not occurred, so we focused on the decision of antecedent for a demonstrative pronoun. For the higher accuracy in analysis of requirements document automatically, finding antecedent of demonstrative pronoun is very important for elicitation of formal requirements automatically from natural language requirements document via natural language processing. The final goal of this research is to automatically generate formal specifications from natural language requirements document. For this, this paper, based on previous research [3], proposes an anaphora resolution system to decide antecedent of pronoun using natural language processing from natural language requirements document in Korean. This paper proposes heuristic rules for the system implementation. By experiments, we got 92.45%, 69.98% as recall and precision respectively with ten requirements documents.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.9
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• pp.359-366
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• 2021

A number of construction companies in Korea invest considerable human and financial resources to construct a system for managing apartment defect data and for categorizing repair tasks. Thus, this study proposes machine learning models to automatically classify defect complaint text-data into one of the sub categories of 'finishing work' (i.e., one of the defect repair tasks). In the proposed models, we employed two word representation methods (Bag-of-words, Term Frequency-Inverse Document Frequency (TF-IDF)) and two machine learning classifiers (Support Vector Machine, Random Forest). In particular, we conducted both binary- and multi- classification tasks to classify 9 sub categories of finishing work: home appliance installation work, paperwork, painting work, plastering work, interior masonry work, plaster finishing work, indoor furniture installation work, kitchen facility installation work, and tiling work. The machine learning classifiers using the TF-IDF representation method and Random Forest classification achieved more than 90% accuracy, precision, recall, and F1 score. We shed light on the possibility of constructing automated defect classification systems based on the proposed machine learning models.