• Title/Summary/Keyword: preventive system

Search Result 2,028, Processing Time 0.032 seconds

A Study on the Prevalence and Risk of Family History for Chronic Diseases: Findings from the Korea National Health and Nutrition Examination Survey 2019 (만성질환에 대한 가족력의 유병률과 위험도에 관한 연구: 국민건강영양조사(2019)를 중심으로)

  • Lee, Nan-Cho;Kim, Min-Ju;Choi, Hee-Jin;Lee, Jongseok;Jung, Deuk
    • Journal of Convergence for Information Technology
    • /
    • v.11 no.8
    • /
    • pp.160-167
    • /
    • 2021
  • This study was conducted to empirically analyze the prevalence and risk of chronic diseases in the family history of chronic diseases using data from the Korea National Health and Nutrition Examination Survey 2019. Based on 5,691 people, after controlling for socio-demographic variables that were related to family history of chronic diseases, logistic regression analysis was performed to verify the odds ratio, which was the risk of family history of chronic diseases for the prevalence of chronic diseases. The main results were founded that Odds ratio, which was the risk of chronic diseases in groups with a family history compared to those without a family history, was statistically significant at hypertension(2.623), dyslipidemia(1.868), diabetes(1.964), and arthritis(1.435) when gender, age, income status, education level and residence were controlled. These results suggest that it is not only necessary to develop a standardization tool for family history tests, but also a health and disease management system for members with a family history in terms of preventive medicine in health care. This study is significant in that it proposed a practical plan in terms of health care by controlling variables that affect the prevalence of chronic diseases and empirically identifying the risk of family history of chronic diseases.

Mediating Effect of Attitude toward Advertisement on the Relationship between COVID-19 Involvement and Behavioral Intention of Social Distancing in Loss versus Gain Advertising Context (손실과 이득 메시지 프레이밍 광고상황에서 COVID-19에 대한 관여와 사회적 거리두기 실천의도와의 관계에 영향을 미치는 광고태도의 매개효과)

  • Choi, Ja In;Choi, Ja Yun
    • Journal of the Korea Convergence Society
    • /
    • v.12 no.12
    • /
    • pp.467-477
    • /
    • 2021
  • Purposes of this study were to identify the relationship among involvement in COVID-19 (IiC), attitude toward advertisement (AtA), and behavioral Intention to social distancing (BItSD), and to investigate the mediating effect of AtA in a loss versus gain advertising context. The participants were 379 adults who have been consecutively living in Korea since January 2020. The participants were randomly assigned to one of two advertisements using an online survey system. We found that IiC affects BItSD since Korean adults recognize the risks and seriousness of COVID-19 infection or transmission through IiC. Induced positive attitudes or emotions through involvement in the COVID-19 preventive behaviors including social distancing and vaccination are helpful to increase the BItSD. Thus, health care and information providers should give an accurate message, which induces a positive attitude, to recognize that our world is a risk of the COVID-19.

A Proposal of Remaining Useful Life Prediction Model for Turbofan Engine based on k-Nearest Neighbor (k-NN을 활용한 터보팬 엔진의 잔여 유효 수명 예측 모델 제안)

  • Kim, Jung-Tae;Seo, Yang-Woo;Lee, Seung-Sang;Kim, So-Jung;Kim, Yong-Geun
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.22 no.4
    • /
    • pp.611-620
    • /
    • 2021
  • The maintenance industry is mainly progressing based on condition-based maintenance after corrective maintenance and preventive maintenance. In condition-based maintenance, maintenance is performed at the optimum time based on the condition of equipment. In order to find the optimal maintenance point, it is important to accurately understand the condition of the equipment, especially the remaining useful life. Thus, using simulation data (C-MAPSS), a prediction model is proposed to predict the remaining useful life of a turbofan engine. For the modeling process, a C-MAPSS dataset was preprocessed, transformed, and predicted. Data pre-processing was performed through piecewise RUL, moving average filters, and standardization. The remaining useful life was predicted using principal component analysis and the k-NN method. In order to derive the optimal performance, the number of principal components and the number of neighbor data for the k-NN method were determined through 5-fold cross validation. The validity of the prediction results was analyzed through a scoring function while considering the usefulness of prior prediction and the incompatibility of post prediction. In addition, the usefulness of the RUL prediction model was proven through comparison with the prediction performance of other neural network-based algorithms.

A Study on the Legal Nature of the Duty to Arrange Spill Clean-up Equipment and the Issue on the Justification of Its Privatization (방제선 등 배치의무의 법적 성질 및 민간개방의 정당성에 관한 연구)

  • Lee, Jung Won
    • Ocean policy research
    • /
    • v.33 no.2
    • /
    • pp.83-119
    • /
    • 2018
  • Under the Korean Marine Environment Management Act (hereunder, the KMEMA), the duty to arrange spill clean-up equipments, including spill clean-up vessels, required by the article 67 of the KMEMA is in essence the provision of public goods since it is a precautionary or preventive measure for the efficient performance of oil spill cleaning up. Also the obligation to control marine pollution and the duty to arrange of anti-pollution measures imposed on polluters is the obligation imposed by the public law in accordance with "the Polluter-Pays Principle". Therefore, the execution of such obligations shall be accompanied by the minimum legal and institutional arrangements. On the other hand, judging whether to form the roles of the public and private sectors in providing public goods is basically a matter of policy decision. However, even if the private sector is allowed to participate in the provision of public goods, it is imperative that a minimum requirement be provided to secure the public interest. Although major countries allows polluters to conclude a preliminary contract with a civil anti-pollution management company, these civilian institutions are in principle constituted by the owners of oil storage facilities. Additionally it is worth noting that it operates as a non-profit organization. In particular, if the practitioner performs pollution control for commercial purposes, their profitability may depend on the size of the pollution, the period spent on pollution control, the size of the equipment and manpower mobilized in the pollution control, and so on. Considering the above problems, caution should be taken to allow marine environmental management companies to be un-limitedly entrusted with the responsibility of arranging measures such as pollution control. In order to allow the marine environmental management contractor to be entrusted for the assignment of duty to protect the marine environment, the marine environment management business should be expanded so that the marine pollutant management capacity satisfies the statutory control capacity. For this purpose, it is necessary to manage and supervise the maintenance and improvement of the control capability of the marine environment management business. It is also necessary to discuss the introduction of the grading system for the control ability of the civil control companies alike in major countries.

The Development of Productivity Prediction Model for Interior Finishes of Apartment using Deep Learning Techniques (Deep Learning 기반 공동주택 마감공사 단위작업별 생산성 예측모델 개발 - 내장공사를 중심으로 -)

  • Lee, Giryun;Han, Choong-Hee;Lee, Junbok
    • Korean Journal of Construction Engineering and Management
    • /
    • v.20 no.2
    • /
    • pp.3-12
    • /
    • 2019
  • Despite the importance and function of productivity information, in the Korean construction industry, the method of collecting and analyzing productivity data has not been organized. Also, in most cases, productivity management is reliant on the experience and intuitions of field managers, and productivity data are rarely being utilized in planning and management. Accordingly, this study intends to develop a prediction model for interior finishes of apartment using deep learning techniques, so as to provide a foundation for analyzing the productivity impacting factors and predicting productivity. The result of the study, productivity prediction model for interior finishes of apartment using deep learning techniques, can be a basic module of apartment project management system by applying deep learning to reliable productivity data and developing as data is accumulated in the future. It can also be used in project engineering processes such as estimating work, calculating work days for process planning, and calculating input labor based on productivity data from similar projects in the past. Further, when productivity diverging from predicted productivity is discovered during construction, it is expected that it will be possible to analyze the cause(s) thereof and implement prompt response and preventive measures.

Changes in Quality of Life and Related Factors of Surgical Patients with Thyroid Cancer (갑상선암 수술환자의 삶의 질 변화와 관련요인)

  • Choi, Hyang-Suk;Kang, Young-Mi;Lee, Tae-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.19 no.11
    • /
    • pp.370-379
    • /
    • 2018
  • This study was conducted 1) to investigate the effects of treatment and other factors on the quality of life of thyroid cancer surgical patients and 2) to provide fundamental data for development of an intervention and symptom management program to improve the quality of life of those patients. A total of 76 patients who were diagnosed with thyroid cancer and underwent thyroidectomy from July 2013 to December 2014 participated in this study. To investigate the factors affecting quality of life, a t-test and ANOVA analyses were conducted, after which multiple regression analysis was performed. The results were statistically significant between preoperative and one month after surgery of sex, cancer history, fatigue, and quality of life until 3 months after surgery of stage, cancer history, anxiety, and pain. Multiple regression analysis showed that the most influential factors affecting the quality of life were depression and fatigue at one month prior to and after surgery and anxiety at three months after surgery, while no factors were found to be influential at six months after surgery. Overall, the results of this study suggested that it is imperative to manage depression and fatigue one month prior to and after surgery to reduce the physical and psychological pain experienced by thyroid cancer patients. Moreover, three months after the surgery, anxiety should be closely monitored and controlled to improve the quality of life of the patients. This approach is expected to reduce the burden on the health care system and social costs, which will positively affect public health.

Survey on the Utilization of Weather and Air Quality Information and Needs of Patients with Respiratory Diseases (호흡기질환자의 기상 및 대기질 정보 활용현황과 요구도 조사)

  • Jo, Eun-Jung;Park, Hye-Kyung;Kim, Chang-Hoon;Won, Kyung-Mi;Kim, Yoo-Keun;Jeong, Ju-Hee;An, Hye Yeon;Hwang, Mi-Kyoung
    • Journal of Environmental Science International
    • /
    • v.28 no.1
    • /
    • pp.85-97
    • /
    • 2019
  • Meteorological factors and air pollutants are associated with respiratory diseases, and appropriate use of weather and air quality information is helpful in the management of patients with such diseases. This study was performed to investigate both the utilization of weather and air quality information by, and the needs of, patients with respiratory diseases. Questionnaires were administered to 112 patients with respiratory diseases, 60.7% of whom were female. The rates of bronchial asthma and chronic obstructive pulmonary disease among patients were 67.0% and 10.7%, respectively. The majority of subjects (90%) responded that prevention was important for respiratory disease management and indicated that they used weather and air quality information either every day or occasionally. However, respondents underestimated the importance of weather and air quality information for disease management and were unaware of some types of weather information. The subjects agreed that respiratory diseases were sensitive to weather and air quality. The most important weather-related factors were diurnal temperature range, minimum temperature, relative humidity, and wind, while those for air quality were particulate matter and Asian dust. Information was gleaned mainly from television programs in patients aged 60 years and older and from smartphone applications for those below 60 years of age. The subjects desired additional information on the management and prevention of respiratory diseases. This study identified problems regarding the utility of weather and air quality information currently available for patients with respiratory diseases, who indicated that they desired disease-related information, including information in the form of action plans, rather than simple health- and air quality-related information. This study highlights the necessity for notification services that can be used to easily obtain information, specifically regarding disease management.

A Study on the Change of Perceptions of Child Abuse Before and After Special Law (아동학대 범죄의 처벌 등에 관한 특례법 전후의 아동학대 인식 변화에 대한 고찰)

  • Lee, Keung-Eun;Kim, Do-Hee
    • The Journal of the Korea Contents Association
    • /
    • v.19 no.9
    • /
    • pp.629-636
    • /
    • 2019
  • In order to infer whether the Special Act on the Punishment of Child Abuse Crimes, etc. actually brought about a change in the social perception shared about child abuse in our society, we used big data to examine the change in the perception of child abuse by the public. This study selected 'child abuse' as the keyword and collected and analyzed. The results of this study are as follows. First, before the implementation of the Special Act in 2013, the words "china" are kindergarten, teacher, body, problem, reporting obligation and neglect compared to the following. After the implementation of the special law, daycare centers, incidents, eradication, campaigns, domestic violence and preventive education were newly introduced. Second, the interconnection of key words in the previous picture of 2013 shows that the left group focuses on measures to introduce to prevent child abuse while the right group consists of keyword intended to view child abuse in conjunction with domestic violence. They are still seen as a group of divorces, discipline, neglect and parental education, which they still perceive as a family problem. Since the implementation of the Special Act in 2013, it will be divided into four groups, and the top group will be highlighted by the keyword related to child abuse cases, part of suspected cases and awareness of child abuse. In addition, the Act on the Special Cases of Child Abuse and the Child Protection Agency clearly appear as a child protection system.

Panax ginseng (Korea Red Ginseng) repairs diabetic sensorineural damage through promotion of the nerve growth factor pathway in diabetic zebrafish

  • Nam, Youn Hee;Moon, Hyo Won;Lee, Yeong Ro;Kim, Eun Young;Rodriguez, Isabel;Jeong, Seo Yule;Castaneda, Rodrigo;Park, Ji-Ho;Choung, Se-Young;Hong, Bin Na;Kang, Tong Ho
    • Journal of Ginseng Research
    • /
    • v.43 no.2
    • /
    • pp.272-281
    • /
    • 2019
  • Background: Diabetic sensorineural damage is a complication of the sensory neural system, resulting from long-term hyperglycemia. Red ginseng (RG) has shown efficacy for treatment of various diseases, including diabetes mellitus; however, there is little research about its benefit for treating sensorineural damage. Therefore, we aim to evaluate RG efficacy in alloxan-induced diabetic neuromast (AIDN) zebrafish. Methods: In this study, we developed and validated an AIDN zebrafish model. To assess RG effectiveness, we observed morphological changes in live neuromast zebrafish. Also, zebrafish has been observed to have an ultrastructure of hair-cell cilia under scanning electron microscopy. Thus, we recorded these physiological traits to assess hair cell function. Finally, we confirmed that RG promoted neuromast recovery via nerve growth factor signaling pathway markers. Results: First, we established an AIDN zebrafish model. Using this model, we showed via live neuromast imaging that RG fostered recovery of sensorineural damage. Damaged hair cell cilia were recovered in AIDN zebrafish. Furthermore, RG rescued damaged hair cell function through cell membrane ion balance. Conclusion: Our data suggest that RG potentially facilitates recovery in AIDN zebrafish, and its mechanism seems to be promotion of the nerve growth factor pathway through increased expression of topomyosin receptor kinase A, transient receptor potential channel vanilloid subfamily type 1, and mitogen-activated protein kinase phosphorylation.

Comparative Analysis of News Big Data related to SARS-CoV, MERS-CoV, and SARS-CoV-2 (COVID-19)

  • Woo, Jae-Hyun
    • Journal of the Korea Society of Computer and Information
    • /
    • v.26 no.8
    • /
    • pp.91-101
    • /
    • 2021
  • This paper intends to draw implications for preparing for Post-Corona in the health field and policy fields as the global pandemic is experienced due to COVID-19. The purpose of this study is to analyze the news and trends of media companies through temporal analysis of the three infectious diseases, SARS-CoV, MERS-CoV, and SARS-CoV-2 (COVID-19), in which the domestic infectious disease preventive system was active throughout the first year of the outbreak. To this end, by using the news analysis program of the Korea Press Foundation 'Big Kinds', the number of news articles per year was digitized based on the period when each infectious disease had an impact on Korea, and major trends were implemented and analyzed in a word cloud. As a result of the analysis, the number of articles related to infectious diseases peaked when the World Health Organization (WHO) declared a warning and (suspicious) confirmed cases occurred. According to keyword and word cloud analysis, 'infectious disease outbreak and major epidemic areas', 'prevention authorities', and 'disease information and confirmed patient information' were found to be the main common features, and differences were derived from the three infectious diseases. In addition, the current status of the infodemic was identified by performing word cloud analysis on information in uncertainty. The results of this study are significant in that they were able to derive the roles of the health authorities and the media that should be preceded in the event of a new disease epidemic through previously experienced infectious diseases, and areas to be rearranged.