• Title/Summary/Keyword: 보건의료정책

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Factors Associated with Impaired Fasting Glucose by Obesity status of Non-diabetic Adults (당뇨병이 없는 성인의 비만 여부에 따른 공복혈당장애 관련 요인)

  • Lee, Su-Jeong;Kim, Keon-Yeop;Kim, Myung-Gwan;Nam, Hang-Me;Bae, Sang-Geun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.6
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    • pp.180-186
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    • 2017
  • This study examined the prevalence of an impaired fasting glucose and related factors in normal non-diabetic adults. This study used the raw data (general characteristics, health behavior, obesity, impaired fasting glucose etc.) from the 6th Korea National Health & Nutrition Examination Survey (NHANES) in the second year (2014), and out of all 7,550 survey participants, 1,341 were selected as the final research subjects. After stratifying according to obesity, a logistic regression model was used to analyze the factors related to an impaired fasting glucose level. The older subjects were more likely to have an impaired fasting glucose in both the obesity group and normal weight group (p<.001). The obesity group showed a higher impaired fasting glucose rate when they drank more alcohol (p<.05) and consumed less fruit (p<.05). Therefore, balanced nutrients and control of the blood sugar level through proper education and public health policies of fruit intake and alcohol are needed.

The Analysis of Raw Data of Completion of Off-Line Continuing Education in Nursing in Seoul, 2008-2012 (서울지역 간호사 보수교육 실시 분석 -오프라인교육 중심으로-)

  • Go, Jeong-Hee;Han, Mi-Ra;Hu, Jung
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.527-538
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    • 2014
  • The purpose of this paper was to analyze the Data of Continuing Nursing Education(CNE) in Seoul from 2008 to 2012. The subjects were collected from the data of Seoul Nurses Association. Descriptive statics, t-test, ANOVA were performed using SPSS 12.0 program for a total of 165,759 subjects' data. The number of continuing education recipients increased about 28% by the year of 2012. Over 50% of subjects worked at advanced hospitals and about 80% of subjects received education in self-developed program type. According to years since licensed, more than half(55.5%) of the subjects were under 7 years since licensed, followed by 4-6years since licensed(18.5%), 2-3years since licensed(16.2%), and 1year since licensed(9.7%). This study showed significant differences in contents, continuing education programs, workplace, type of continuing education. The findings of this study will contribute to identifying current trends of continuing education for nurses and provide fundamental data for developing continuing nurses education.

A Study on the Improvement of Independent Loan Fund Business for low-income Disabled (저소득장애인을 위한 장애인자립자금대여사업 개선방안 연구)

  • Park, Ju-Young
    • The Journal of the Korea Contents Association
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    • v.16 no.4
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    • pp.691-704
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    • 2016
  • This study aims to analyze the current situation of Independent loan fund business for disabled for independent and living stabilization of low-income disabled and presented a plan to support effectively. Methods were reanalyzed to obtain the data inside the Ministry of Health and Welfare and conducted a expert survey. The results of this study were First, The budget was 8.1 billion won and target households was 800, but the used budget was about 5.6 billion won(executive rate was 69.3%) and beneficiaries was 384 families. Second, the loan condition was gurantee is 58.5%, pawn is 23.3%, ungurantee is 18.2%. And, the loan type was occupation is 60.0%, car purchase is 35.3%, medical expenses is 2.6% and so on. In addition, 1,735 people apply for a loan fund but 904 people received a loan fund. So, loan rate was 52.1%. Third, business retention rate was 74.7% and close rate was 25.3%. Fourth, expert opinion was government support necessary for the in low-income disabled in social and economic situation of Korea. This study suggested that the loan purpose, loan amount, loan condition, simplified course were needed to consider when establishing policy for low-incone disabled.

Vulnerability Assessment of the Air Pollution Using Entropy Weights : Focused on Ozone (엔트로피 가중치를 활용한 대기오염 취약성 평가 - 오존을 중심으로 -)

  • Lee, Sang-hyeok;Kang, Jung Eun;Bae, Hyun Joo;Yoon, Dong Keun
    • Journal of the Korean association of regional geographers
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    • v.21 no.4
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    • pp.751-763
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    • 2015
  • Both the selection of indicators and weights for them are critical issues in the vulnerability assessment. This study is to assess the air pollution vulnerability focused on ozone for 249 local jurisdictions using weights calculated by the entropy methodology and then examine the applicability of the methodology. We selected indicators for air pollution vulnerability assessment and standardized them. Subsequently, we calculated weights of each indicator using the entropy method and then integrated them into the vulnerability index. The exposure indicators consider meteorological and air pollution factors and the sensitivity of the local jurisdiction include variables on vulnerable areas and environments. The adaptive capacity contains socio-economic characteristics, health care capacities and air pollution managemental factors. The results show that Hwaseong-si, Gwangjin-gu, Gimpo-si, Gwangju-si, Gunpo-si are among the highest vulnerabilities based on the simple aggregation of indicators. And vulnerability-resilience (VRI) aggregation results indicates the similar spatial pattern with the simple aggregation outcomes. This article extends current climate change vulnerability assessment studies by adopting the entropy method to evaluate relative usefulness of data. In addition, the results can be used for developing customized adaptation policies for each jurisdiction reflecting vulnerable aspects.

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Development of Prediction Model for Prevalence of Metabolic Syndrome Using Data Mining: Korea National Health and Nutrition Examination Study (국민건강영양조사를 활용한 대사증후군 유병 예측모형 개발을 위한 융복합 연구: 데이터마이닝을 활용하여)

  • Kim, Han-Kyoul;Choi, Keun-Ho;Lim, Sung-Won;Rhee, Hyun-Sill
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.325-332
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    • 2016
  • The purpose of this study is to investigate the attributes influencing the prevalence of metabolic syndrome and develop the prediction model for metabolic syndrome over 40-aged people from Korea Health and Nutrition Examination Study 2012. The researcher chose the attributes for prediction model through literature review. Also, we used the decision tree, logistic regression, artificial neural network of data mining algorithm through Weka 3.6. As results, social economic status factors of input attributes were ranked higher than health-related factors. Additionally, prediction model using decision tree algorithm showed finally the highest accuracy. This study suggests that, first of all, prevention and management of metabolic syndrome will be approached by aspect of social economic status and health-related factors. Also, decision tree algorithms known from other research are useful in the field of public health due to their usefulness of interpretation.

Relationships between subjective teeth awareness and satisfaction on self-esteem (주관적인 치아에 대한 인식 및 만족도와 자아존중감과의 관련성)

  • Jung, Eun-Seo;Lee, Kyeong-Hee
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.315-324
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    • 2016
  • The purpose of the study are expected to provide some basic information on counseling, diagnosis and treatment planning for patients related to teeth care. A self-reported questionnaire was filled out by 320 subjects in Seoul and Gyeonggi from May to August, 2015 after permission from Institutional Review Board (IRB). Except 18 copies, 302 data were analyzed using SPSS WIN 19.0 program. The questionnaire consisted of four questions of the general characteristics of the subjects, ten questions of the awareness toward of subjective teeth, five questions of the influence of teeth on appearance, and ten questions of self-esteem. The dependent variables made a 23.4% prediction of self-esteem. If they have higher education(p<0.001), influence of teeth on appearance(p<0.001) and the awareness toward of subjective teeth(p<0.001) had significant influence on self-esteem. The findings suggest that heightened subjective awareness toward teeth seems to be of use for the improvement of self-esteem. Therefore it's required to make an effort to take good care of teeth in terms of color or arrangement as well as oral health.

Big Data Study about the Effects of Weather Factors on Food Poisoning Incidence (기상요인과 식중독 발병의 연관성에 대한 빅 데이터 분석)

  • Park, Ji-Ae;Kim, Jang-Mook;Lee, Ho-Sung;Lee, He-Jin
    • Journal of Digital Convergence
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    • v.14 no.3
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    • pp.319-327
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    • 2016
  • This research attempts an analysis that fuses the big data concerning weather variation and health care from January 1, 2011 to December 31, 2014; it gives the weather factor as to what kind of influence there is for the incidence of food poisoning, and also endeavors to be helpful regarding national health prevention. By using R, the Logistic and Lasso Logistic Regression were analyzed. The main factor germ generating the food poisoning was classified and the incidence was confirmed for the germ of bacteria and virus. According to the result of the analysis of Logistic Regression, we found that the incidence of bacterial food poisoning was affected by the following influences: the average temperature, amount of sunshine deviation, and deviation of temperature. Furthermore, the weather factors, having an effect on the incidence of viral food poisoning, were: the minimum vapor pressure, amount of sunshine deviation and deviation of temperature. This study confirmed the correlation of meteorological factors and incidence of food poisoning. It was also found out that even if the incidence from two causes were influenced by the same weather factor, the incidence might be oppositely affected by the characteristic of the germs.

Analysis of the Relationship between the Convergence Factors Related to Organizational Citizenship Behavior of Some Hospital Administrative Staffs (일부 병원행정직의 조직시민행동과 관련된 융복합 요인의 관련성 분석)

  • Kim, Seung-Hee;Bae, Sang-Yun
    • Journal of Digital Convergence
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    • v.18 no.3
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    • pp.259-266
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    • 2020
  • This paper attempted to find the convergence factors related to the organizational citizenship behavior of hospital administration staff(HAS). The survey was conducted on 274 administrative staff at 22 hospitals in J regions randomly selected using self-administered questionnaires. The survey period took about a month from July 1 to July 31, 2019. The hierarchical multiple regression analysis shows the following results. The organizational citizenship behavior of respondents turned out to be significantly higher in following groups: The higher the procedure justice, sub-areas of organization justice, the higher the intragroup trust, and the higher the organizational commitment. Their explanatory power was 41.9%. The results of the study indicate that the efforts, to increase organization justice, intragroup trust and organizational commitment, are required to improve organizational citizenship behavior among HAS. The above results are expected to be utilized in human resource management and industrial health education of medical institutions that enhance organizational citizenship behavior of HAS. Later research requires the establishment of a structural equation model that affects organizational citizenship behavior of HAS.

Developing data quality management algorithm for Hypertension Patients accompanied with Diabetes Mellitus By Data Mining (데이터 마이닝을 이용한 고혈압환자의 당뇨질환 동반에 관한 데이터 질 관리 알고리즘 개발)

  • Hwang, Kyu-Yeon;Lee, Eun-Sook;Kim, Go-Won;Hong, Sung-Ok;Park, Jong-Son;Kwak, Mi-Sook;Lee, Ye-Jin;Im, Chae-Hyuk;Park, Tae-Hyun;Park, Jong-Ho;Kang, Sung-Hong
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.309-319
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    • 2016
  • There is a need to develop a data quality management algorithm in order to improve the quality of health care data. In this study, we developed a data quality control algorithms associated diseases related to diabetes in patients with hypertension. To make a data quality algorithm, we extracted hypertension patients from 2011 and 2012 discharge damage survey data. As the result of developing Data quality management algorithm, significant factors in hypertension patients with diabetes are gender, age, Glomerular disorders in diabetes mellitus, Diabetic retinopathy, Diabetic polyneuropathy, Closed [percutaneous] [needle] biopsy of kidney. Depending on the decision tree results, we defined Outlier which was probability values associated with a patient having diabetes corporal with hypertension or more than 80%, or not more than 20%, and found six groups with extreme values for diabetes accompanying hypertension patients. Thus there is a need to check the actual data contained in the Outlier(extreme value) groups to improve the quality of the data.

An identification of optimized energy usage factors and monitoring System development for safety identification for elderly living (독거노인 안전확인을 위한 최적 에너지원 규명 및 모니터링 시스템 구현)

  • Kim, Hosik;Cha, Youna;Chin, Sangyoon
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.4
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    • pp.39-48
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    • 2014
  • The speed of aging society is increasingly getting faster in Korea. Currently, there are over one million elderly living alone, which represents more than 19% of the total elderly in Korea. Although various policies and research have been implemented for caring the elderly living alone, there have been obvious limitations in realization of the caring system due to inconvenience, privacy violation, difficult operation and maintenance. Therefore, the objective of this study is to develop a method and a prototype system to monitor safety of elderly living alone by using energy usage information of automatic meter reading device. The proposed system is expected to improve or resolve the existing limitations and to provide 24 hour monitoring and early detection of death for the elderly living alone without adding staffs for operation and maintenance in a more effective and economic way.