• Nutrition Research and Practice
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• v.12 no.3
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• pp.251-257
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• 2018

BACKGROUND/OBJECTIVES: There are few studies that forecast the future prevalence of obesity based on the predicted prevalence model including contributing factors. The present study aimed to identify factors associated with obesity and construct forecasting models including significant contributing factors to estimate the 2020 and 2030 prevalence of obesity and abdominal obesity. SUBJECTS/METHODS: Panel data from the Korea National Health and Nutrition Examination Survey and national statistics from the Korean Statistical Information Service were used for the analysis. The study subjects were 17,685 male and 24,899 female adults aged 19 years or older. The outcome variables were the prevalence of obesity (body mass index ${\geq}25kg/m^2$) and abdominal obesity (waist circumference ${\geq}90cm$ for men and ${\geq}85cm$ for women). Stepwise logistic regression analysis was used to select significant variables from potential exposures. RESULTS: The survey year, age, marital status, job status, income status, smoking, alcohol consumption, sleep duration, psychological factors, dietary intake, and fertility rate were found to contribute to the prevalence of obesity and abdominal obesity. Based on the forecasting models including these variables, the 2020 and 2030 estimates for obesity prevalence were 47% and 62% for men and 32% and 37% for women, respectively. CONCLUSIONS: The present study suggested an increased prevalence of obesity and abdominal obesity in 2020 and 2030. Lifestyle factors were found to be significantly associated with the increasing trend in obesity prevalence and, therefore, they may require modification to prevent the rising trend.

• Journal of The Korea Institute of Healthcare Architecture
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• v.21 no.4
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• pp.49-58
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• 2015

Purpose: Musculoskeletal disorder is one of diseases with high medical demand over-65 populations. Considering complex, chronic property of diseases, it is important for patients to provide specialized medical service. The musculoskeletal center is one of the most essential facility type in order to give adequate care to the patient suffering from musculoskeletal diseases. Methods: Statistical analysis relating to the component ratio of patients for the demand for medical care. Literature analysis for characteristic of the musculoskeletal diseases. The Status Survey of health care facilities operating in the musculoskeletal center. Results: It is necessary for the musculoskeletal center to be composed of four major areas such as consultation, examination, diagnosis, intervention for continuity of care. For continuum of care, it is essential to build medical environment integrated with each level of care such as consultant, examination, diagnosis procedure. Implications: This study is a basic research for design of musculoskeletal center, and need to be followed by further study using various perspectives and methods.

• Journal of Korean Clinical Nursing Research
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• v.24 no.2
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• pp.159-169
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• 2018

Purpose: The purpose of this study was to investigate the reality of workplace violence experienced by emergency nurses and the relationship of violence response to professional quality of life. Methods: The participants in this study were 899 emergency nurses from Korea nationwide. Data were obtained through an online survey done during October, 2017. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient. Results: Of the emergency nurses, 72.1% recognized that workplace violence is serious. Experience with workplace violence correlated positively with violence reaction (r=.32, p<.001), burnout (r-.20, p<.001) and secondary trauma (r=.22, p<.001). Also, reaction to violence was positively correlated with burnout (r=.28, p<.001) and secondary trauma (r=.56, p<.001). Conclusion: Findings indicate that the diverse workplace violence experienced by emergency nurses decreases their professional quality of life. Further study is needed to develop solutions to the problem of workplace violence in emergency settings.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.784-786
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• 2016

Recent research has been related to the health of the various systems. In contrast the system are the level insufficient for accurate analysis that the body of the user information and service information. In this paper, in order to solve this problem, we propose a fitness system based on the algorithm for analyzing the body of the user information. Algorithm to analyze the user's body information by analyzing the user's height and weight to calculate the BMI(Body Mass Index) index and BMR(Basal Metabolic Rate) value. The proposed system is considered to be able to give recommendations to the user for the exercise on the basis of the calculated BMI index and BMR value.

• Journal of the Korea Society of Computer and Information
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• v.24 no.4
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• pp.153-159
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• 2019

In this paper, we propose a the effects of new chest compressions in the implementation of chest compressions during infant cardiopulmonary resuscitation, and to provide basic data for high-quality CPR. On March 12, 2019, the research target used the SPSS 22.0 Version as an experimental study using randomized cross-design of 30 emergency medical services students who completed BLS Health Care-provider. The study also showed significant differences in chest depth and average rate of pressure($34.61{\pm}1.29$, $39.40{\pm}1.08$, <0.001, $105.46{\pm}4.23$, $107{\pm}3.84$, <0.001) depending on chest compressions. There was also a significant difference in the convenience and degree of pain of chest compressions(<0.001). In addition, new chest compressions appeared close to vertical and showed statistically significant differences(p<.001). Based on the results of this study, we can see that the accuracy of the new chest compressions during infant cardiopulmonary resuscitation is increased, and the depth of chest compressions is improved, improving the quality index of chest compressions. However, it will be necessary to further study the use of the new chest compressions to identify the potential for clinical use.

• The Journal of Advanced Prosthodontics
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• v.13 no.3
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• pp.172-179
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• 2021

Purpose. This intra-patient retrospective study of up to 10 years evaluated the clinical success and risk factors of 6- and 8-mm long implants and their respective prostheses. Materials and Methods. The sample consisted of patients treated at a Military Polyclinic dental service, who received both 6- and 8-mm long tissue level implants in the posterior region of the same arch. Data were collected from the dental charts, clinical and radiographic exams, self-report of sleep bruxism, measurement of maximum occlusal force, and clinical crown-to-implant (C/I) ratio. Data were analyzed by descriptive and inferential statistics with univariate and hierarchical multivariate models, at the 0.05 significance level. Results. The 30 patients (27 women) had 85 implants and 83 prostheses. Two implants were lost before prosthesis installation (implant survival: 97.6%). Ten events of prosthetic complication (screw tightening loss) occurred in five patients (success rate: 87.9%) in a single moment. Only the variable C/I ratio had a significant effect for repairable prosthesis complication (P<.05). Conclusion. The results suggest that 6- and 8-mm long implants have similar long-term clinical success for implants and prostheses.

• Journal of Distribution Science
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• v.18 no.12
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• pp.5-13
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• 2020

Purpose: The objective of this study is to explore and prioritize strategic factors for revitalization of the sports contents distribution industry. Research design, data and methodology: To this end, strategic factors for revitalization of the sports contents distribution industry were explored based on literature review, and 14 experts were consulted to prioritize the factors. Results: Major conclusions deduced are the following: First, the factors were prioritized in order of legal policy factors, contents factors, and technical infrastructure factors. Second, subdomains of legal policy factors were prioritized in order of policy process factors, legislation enactment and revision factors, budget factors, business model factors focusing on sports contents. Third, subdomains of contents factors were prioritized in order of humanware contents factors, sports contents diversification factors, and high-quality sports contents production factors. Fourth, subdomains of technical infrastructure factors were prioritized in order of sports contents service platform factors, technical development and standardization, global distribution channel provision, and distribution metadata standardization. Conclusions: Findings of this study are of significance given that this study stratifies factors of sports contents distribution industry revitalization-about which there have been very few previous studies- analyzed mainly in terms of justifiability and timeliness, and presents preferential business strategies.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.353-361
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• 2021

As demands for health and wellbeing in the ageing society have grown, complex problems involving diverse stakeholders arise in the healthcare environment. The objective of this study is to identify roles and abilities of designers in a healthcare setting where professionals from different disciplines collaborate to achieve a common goal. Case studies on healthcare design projects adapting interdisciplinary approach were explored to find which methods and processes were implemented effectively. Results are based on three research questions that lead to analyzing multifaceted roles of designers regarding process facilitation, manage relations, visualization, and imagination.

• Journal of Korean Clinical Nursing Research
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• v.28 no.3
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• pp.233-241
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• 2022

Purpose: This study was conducted to identify the nurses' positive psychological capital and adaptation of job rotation and to examine their relationship. Methods: This cross-sectional study was conducted from March 23, 2021 to March 31, 2021, the study participants were 160 nurses who worked at a general hospital in Seoul. The collected data were analyzed using the IBM SPSS/WIN 24.0 program with descriptive statistics, t-test, ANOVA, and Pearson's correlation coefficient. Results: The positive psychological capital of nurses scored an average of 3.30±0.43 out of 5. Nurses' adaptation of job rotation scored an average of 3.00±0.35 out of 5. Positive psychological capital and adaptation of job rotation showed a significant positive correlation (r=.70, p<.001). Conclusion: This study shows that the greater level of positive psychological capital was associated with the increased adaptation of job rotation among nurses. It is necessary to develop an practical program to help nurses, who have recently experienced job rotation, adapt to the changed job by improving the positive psychological capital.

• Smart Structures and Systems
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• v.29 no.1
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• pp.105-116
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• 2022

Stay cables play an essential role in cable-stayed bridges. Severe vibrations and/or harsh environment may result in cable failures. Therefore, an efficient structural health monitoring (SHM) solution for cable damage detection is necessary. This study proposes a data-driven method for immediately detecting cable damage from measured cable forces by recognizing pattern transition from the intact condition when damage occurs. In the proposed method, pattern recognition for cable damage detection is realized by time series classification (TSC) using a deep learning (DL) model, namely, the long short term memory fully convolutional network (LSTM-FCN). First, a TSC classifier is trained and validated using the cable forces (or cable force ratios) collected from intact stay cables, setting the segmented data series as input and the cable (or cable pair) ID as class labels. Subsequently, the classifier is tested using the data collected under possible damaged conditions. Finally, the cable or cable pair corresponding to the least classification accuracy is recommended as the most probable damaged cable or cable pair. A case study using measured cable forces from an in-service cable-stayed bridge shows that the cable with damage can be correctly identified using the proposed DL-TSC method. Compared with existing cable damage detection methods in the literature, the DL-TSC method requires minor data preprocessing and feature engineering and thus enables fast and convenient early detection in real applications.