• 한국노년학
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• v.27 no.2
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• pp.323-334
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• 2007

This cross-sectional descriptive study was performed to investigate the relationship among attitude toward DNR orders, depression, and self-esteem in the elderly. Method: The participants of this study were 99 elderly individuals who were hospitalized in four university hospitals in Seoul and Kangwon-do from October 1, 2006 to October 21, 2006. The data were collected using self-administered questionnaires. Results: The mean scores were 3.99 for attitude toward DNR orders(range of 1-5), 6.64 for depression(range of 1-15), and 26.83 for self-esteem(range of 10-40). Self-esteem was significantly correlated with attitude toward DNR orders(r=.200, p=.047). About half of the participants(49.5%) responded that the proper time for obtaining DNR consent was when they were healthy and could express their own intentions and make the decision by themselves. Most of the participants showed a positive attitude toward DNR orders. The participants preferred to make the DNR decision when they were healthy. Therefore, health care providers working with the elderly should try to discuss the DNR decision with their patients when they are conscious and able to make the DNR decision by themselves rather than leaving the decisions up to the patient's family members

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.185-209
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• 2023

With the advent of the 4th industrial revolution, various technologies have received much attention. Technologies related to the 4th industry include the Internet of Things (IoT), big data, artificial intelligence, virtual reality (VR), 3D printers, and robotics, and these technologies are often converged. In particular, the robotics field is combined with technologies such as big data, artificial intelligence, VR, and digital twins. Accordingly, much research using robotics is being conducted, which is applied to distribution, airports, hotels, restaurants, and transportation fields. In the given situation, research on human-robot interaction is attracting attention, but it has not yet reached the level of user satisfaction. However, research on robots capable of perfect communication is steadily being conducted, and it is expected that it will be able to replace human emotional labor. Therefore, it is necessary to discuss whether the current human-robot interaction technology can be applied to business. To this end, this study first examines the trend of human-robot interaction technology. Second, we compare LDA (Latent Dirichlet Allocation) topic modeling and BERTopic topic modeling methods. As a result, we found that the concept of human-robot interaction and basic interaction was discussed in the studies from 1992 to 2002. From 2003 to 2012, many studies on social expression were conducted, and studies related to judgment such as face detection and recognition were conducted. In the studies from 2013 to 2022, service topics such as elderly nursing, education, and autism treatment appeared, and research on social expression continued. However, it seems that it has not yet reached the level that can be applied to business. As a result of comparing LDA (Latent Dirichlet Allocation) topic modeling and the BERTopic topic modeling method, it was confirmed that BERTopic is a superior method to LDA.

• Journal of Nutrition and Health
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• v.52 no.4
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• pp.332-341
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• 2019

Purpose: Poor nutrition in hospitalized patients is closely linked to an increased risk of infection, which can result in complications affecting mortality, as well as increased length of hospital stay and hospital costs. Therefore, adequate nutritional support is essential to manage the nutritional risk status of patients. Nutritional support needs to be preceded by nutrition screening, in which accuracy is crucial, particularly for the initial screening. To perform initial nutrition screening of hospitalized patients, we used the Catholic Kwandong University (CKU) Nutritional Risk Screening (CKUNRS) tool, originally developed at CKU Hospital. To validate CKUNRS against the Patient-Generated Subjective Global Assessment (PG-SGA) tool, which is considered the gold standard for nutritional risk screening, results from both tools were compared. Methods: Nutritional status was evaluated in 686 adult patients admitted to CKU Hospital from May 1 to July 31, 2018 using both CKUNRS and PG-SGA. Collected data were analyzed, and the results compared, to validate CKUNRS as a nutrition screening tool. Results: The comparison of CKUNRS and PG-SGA revealed that the prevalence of nutritional risk on admission was 15.6% (n = 107) with CKUNRS and 44.6% (n = 306) with PG-SGA. The sensitivity and specificity of CKUNRS to evaluate nutritional risk status were 98.7% (96.8 ~ 99.5) and 33.3% (28.1 ~ 39.0), respectively. Thus, the sensitivity was higher, but the specificity lower compared with PG-SGA. Cohen's kappa coefficient was 0.34, indicating valid agreement between the two tools. Conclusion: This study found concordance between CKUNRS and PG-SGA. However, the prevalence of nutritional risk in hospitalized patients was higher when determined by CKUNRS, compared with that by PG-SGA. Accordingly, CKUNRS needs further modification and improvement in terms of screening criteria to promote more effective nutritional support for patients who have been admitted for inpatient care.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.57-66
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• 2019

The purpose of this study was to identify the risk factors of breast disease by checking the difference in lifestyle and the natural estrogen-containing food intake. The subjects were women who visited the J-City Women's Hospital between the ages of 20 and 60 (disease=85, non disease=93) and to avoid the demographic factors that might affect lifestyle, and to ensure the homogeneity of the two groups, (${\pm}5$ years old) were randomly expressed. The logistic regression analysis was performed to examine the influence of variables on breast disease. The probability of receiving a diagnosis of breast disease increased by 3.04 times, the probability of receiving a diagnosis of breast disease was 4.76 times higher than that of others such as brown rice grains, and the hobby life of stress relieving methods The probability of being classified as breast disease was 2.38 times. People who have experience of artificial abortion, those who enjoy white rice, and those who do not enjoy hobbies are more likely to be diagnosed with breast disease. The breast disease prevention and education program and the education program for the general public reflecting this characteristic will be necessary.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.357-365
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• 2019

This study was conducted to identify correlations in clinical nurses' personality, resilience and happiness index to provide basic resources for nurses' happiness at work. Methods: From May 1 to 15, 2019, self-report questionnaires were distributed and collected from 307 of clinical nurses in 10 hospitals located in P-metropolitan city and K-province. Analyses included descriptive statistics, t-test, Analysis of Variance, Pearson's correlation coefficient, and multiple regression, conducted using IBM SPSS/WIN 24.0. Mean scores were nurses' personality 3.67, resilience 3.28, and happiness index 3.28. There were significant differences on the happiness index for: clinical experience, type of work, and leisure activities and a positive correlation between personality and resilience, between personality and happiness index and between happiness index and resilience. Happiness index was influenced by clinical experience 'Less than 1-5' (${\beta}=-.41$), '${\geq}10$' ${\beta}=-.39$), 'Less than 5-10' (${\beta}=-.34$), resilience (${\beta}=.35$), personality (${\beta}=.29$), type of work '3 shifts' (${\beta}=.12$), leisure activities (${\beta}=.10$). Explanatory power of these variables was 41%. Conclusion: Based on the findings of this study, so it is necessary to operated the career management, work management, personality training, support for resilience promotion program and leisure activities in order to increase the happiness index of hospital nurses.

• Journal of agricultural medicine and community health
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• v.47 no.3
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• pp.166-180
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• 2022

Objective: This study evaluated the effects of a non-face-to-face obesity management program, implemented during the pandemic. Methods: The non-face-to-face obesity management program used the Intervention mapping protocol (IMP). The program was put into effect over the course of eight weeks, from September 14 to November 13, 2020 in 48 overweight and obese adults, who applied to participate through the Daegu Citizen Health Support Center. Results: IMP was first a needs assessment was conducted; second, goal setting for behavior change was established; third, evidence-based selection of arbitration method and performance strategy was performed; fourth, program design and validation; fifth, the program was run; and sixth, the results were evaluated. The average weight after participation in the program was reduced by 1.2kg, average WC decreased by 3cm, and average BMI decreased by 0.8kg/m² (p<0.05). The results of the health behavior survey showed a positive improvement in lifestyle factors, including average daily intake calories, fruit intake, and time spent in walking exercise before and after participation in the program. A statistically significant difference was seen (p<0.05). The satisfaction level for program process evaluation was high, at 4.57±0.63 point. Conclusion: The non-face-to-face obesity management program was useful for obesity management for adults in communities, as it enables individual counseling by experts and active participation through self-body measurement and recording without restriction by time and place. However, the program had some restrictions on participation that may relate to the age of the subject, such as skill and comfort in using a mobile app.